.lintrunner.toml

[[linter]]
code = 'FLAKE8'
include_patterns = ['**/*.py']
exclude_patterns = [
    '.git/**',
    'build_test_custom_build/**',
    'build/**',
    'caffe2/**',
    'docs/caffe2/**',
    'docs/cpp/src/**',
    'docs/src/**',
    'fb/**',
    '**/fb/**',
    'functorch/docs/**',
    'functorch/examples/**',
    'functorch/notebooks/**',
    'torch/_inductor/fx_passes/serialized_patterns/**',
    'scripts/**',
    'test/generated_type_hints_smoketest.py',
    # Tests from the NumPy test suite
    'test/torch_np/numpy_test/**/*.py',
    'third_party/**',
    'torch/include/**',
    'torch/lib/**',
    'venv/**',
    '**/*.pyi',
    'tools/test/test_selective_build.py',
]
command = [
    'python3',
    'tools/linter/adapters/flake8_linter.py',
    '--',
    '@{{PATHSFILE}}'
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'flake8==6.1.0',
    'flake8-bugbear==23.3.23',
    'flake8-comprehensions==3.15.0',
    'flake8-executable==2.1.3',
    'flake8-logging-format==0.9.0',
    'flake8-pyi==23.3.1',
    'flake8-simplify==0.19.3',
    'mccabe==0.7.0',
    'pycodestyle==2.11.1',
    'pyflakes==3.1.0',
    'torchfix==0.4.0 ; python_version >= "3.9"',
]


[[linter]]
code = 'CLANGFORMAT'
include_patterns = [
    'aten/src/ATen/*.h',
    'aten/src/ATen/mps/**/*.mm',
    'aten/src/ATen/xpu/**/*.h',
    'aten/src/ATen/xpu/**/*.cpp',
    'aten/src/ATen/native/mps/**/*.mm',
    'aten/src/ATen/native/vulkan/**/*.h',
    'aten/src/ATen/native/vulkan/**/*.cpp',
    'aten/src/ATen/native/cuda/MultiTensorApply.cuh',
    'aten/src/ATen/native/**/Foreach*.*',
    'aten/src/ATen/native/cuda/fused*.*',
    'aten/src/ATen/native/cuda/Fused*.cu',
    'aten/src/ATen/native/cudnn/*.h',
    'aten/src/ATen/native/cudnn/*.cpp',
    'c10/**/*.h',
    'c10/**/*.cpp',
    'distributed/c10d/*DMAConnectivity.*',
    'distributed/c10d/*SymmetricMemory.*',
    'torch/csrc/**/*.h',
    'torch/csrc/**/*.hpp',
    'torch/csrc/**/*.cpp',
    'test/cpp/**/*.h',
    'test/cpp/**/*.cpp',
]
exclude_patterns = [
    'aten/src/ATen/native/vulkan/api/vk_mem_alloc.h',
    'c10/util/strong_type.h',
    '**/fb/**',
    'torch/csrc/inductor/aoti_torch/generated/**',
    'torch/csrc/jit/serialization/mobile_bytecode_generated.h',
    'torch/csrc/utils/pythoncapi_compat.h',
    'aten/src/ATen/dlpack.h',
]
init_command = [
    'python3',
    'tools/linter/adapters/s3_init.py',
    '--config-json=tools/linter/adapters/s3_init_config.json',
    '--linter=clang-format',
    '--dry-run={{DRYRUN}}',
    '--output-dir=.lintbin',
    '--output-name=clang-format',
]
command = [
    'python3',
    'tools/linter/adapters/clangformat_linter.py',
    '--binary=.lintbin/clang-format',
    '--',
    '@{{PATHSFILE}}'
]
is_formatter = true

[[linter]]
code = 'MYPY'
include_patterns = [
    'torch/**/*.py',
    'torch/**/*.pyi',
    'caffe2/**/*.py',
    'caffe2/**/*.pyi',
    'test/test_bundled_images.py',
    'test/test_bundled_inputs.py',
    'test/test_complex.py',
    'test/test_datapipe.py',
    'test/test_futures.py',
    # 'test/test_numpy_interop.py',
    'test/test_torch.py',
    'test/test_type_hints.py',
    'test/test_type_info.py',
    'test/test_utils.py',
]
exclude_patterns = [
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/mypy_linter.py',
    '--config=mypy.ini',
    '--',
    '@{{PATHSFILE}}'
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'numpy==1.24.3 ; python_version == "3.8"',
    'numpy==1.26.0 ; python_version >= "3.9"',
    'expecttest==0.1.6',
    'mypy==1.10.0',
    'sympy==1.11.1',
    'types-requests==2.27.25',
    'types-PyYAML==6.0.7',
    'types-tabulate==0.8.8',
    'types-protobuf==3.19.18',
    'types-pkg-resources==0.1.3',
    'types-Jinja2==2.11.9',
    'types-colorama==0.4.6',
    'filelock==3.13.1',
    'junitparser==2.1.1',
    'rich==10.9.0',
    'pyyaml==6.0.1',
    'optree==0.11.0',
]

[[linter]]
code = 'MYPYSTRICT'
include_patterns = [
    '.github/**/*.py',
    'benchmarks/instruction_counts/**/*.py',
    'tools/**/*.py',
    'torchgen/**/*.py',
    'torch/utils/_pytree.py',
    'torch/utils/_cxx_pytree.py',
    'torch/utils/benchmark/utils/common.py',
    'torch/utils/benchmark/utils/timer.py',
    'torch/utils/benchmark/utils/valgrind_wrapper/**/*.py',
]
exclude_patterns = [
    # (linbinyu) copied from internal repo
    '**/fb/**',
    'tools/code_analyzer/gen_operators_yaml.py',
    'tools/dynamo/verify_dynamo.py',
    'tools/gen_vulkan_spv.py',
    'tools/test/gen_operators_yaml_test.py',
    'tools/test/gen_oplist_test.py',
    'tools/test/test_selective_build.py',
]
command = [
    'python3',
    'tools/linter/adapters/mypy_linter.py',
    '--config=mypy-strict.ini',
    '--code=MYPYSTRICT',
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'CLANGTIDY'
include_patterns = [
    # Enable coverage of headers in aten/src/ATen
    # and excluding most sub-directories for now.
    'aten/src/ATen/*.h',
    'aten/src/ATen/*.cpp',
    'aten/src/ATen/core/*.h',
    'aten/src/ATen/core/*.cpp',
    'aten/src/ATen/detail/*',
    'aten/src/ATen/functorch/*.h',
    'aten/src/ATen/functorch/*.cpp',
    'c10/**/*.cpp',
    'c10/**/*.h',
    'torch/csrc/*.h',
    'torch/csrc/*.cpp',
    'torch/csrc/**/*.h',
    'torch/csrc/**/*.cpp',
    'torch/csrc/jit/serialization/*.h',
    'torch/csrc/jit/serialization/*.cpp',
]
exclude_patterns = [
    # The negative filters below are to exclude files that include onnx_pb.h or
    # caffe2_pb.h, otherwise we'd have to build protos as part of this CI job.
    # CUDA files are also excluded.
    '**/fb/**',
    '**/*pb.h',
    'aten/**/cuda/*pp',
    'c10/xpu/**/*.h',
    'c10/xpu/**/*.cpp',
    'c10/cuda/CUDAAlgorithm.h',
    'c10/util/complex_math.h',
    'c10/util/complex_utils.h',
    'c10/util/flat_hash_map.h',
    'c10/util/logging*.h',
    'c10/util/hash.h',
    'c10/util/strong_type.h',
    'c10/util/SmallVector.h',
    'c10/util/win32-headers.h',
    'c10/util/*inl.h',
    'c10/test/**/*.h',
    'third_party/**/*',
    'torch/csrc/api/**',
    'torch/csrc/autograd/generated/**',
    'torch/csrc/distributed/**/*',
    'torch/csrc/dynamo/eval_frame.h',
    'torch/csrc/inductor/**/*',
    'torch/csrc/jit/**/*',
    'torch/csrc/jit/serialization/mobile_bytecode_generated.h',
    'torch/csrc/lazy/**/*',
]
init_command = [
    'python3',
    'tools/linter/adapters/s3_init.py',
    '--config-json=tools/linter/adapters/s3_init_config.json',
    '--linter=clang-tidy',
    '--dry-run={{DRYRUN}}',
    '--output-dir=.lintbin',
    '--output-name=clang-tidy',
]
command = [
    'python3',
    'tools/linter/adapters/clangtidy_linter.py',
    '--binary=.lintbin/clang-tidy',
    '--build_dir=./build',
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'TYPEIGNORE'
include_patterns = ['**/*.py', '**/*.pyi']
exclude_patterns = [
    'fb/**',
    '**/fb/**',
    'test/test_jit.py',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=# type:\s*ignore([^\[]|$)',
    '--linter-name=TYPEIGNORE',
    '--error-name=unqualified type: ignore',
    """--error-description=\
        This line has an unqualified `type: ignore`; \
        please convert it to `type: ignore[xxxx]`\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'TYPENOSKIP'
include_patterns = ['mypy.ini']
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=follow_imports\s*=\s*skip',
    '--linter-name=TYPENOSKIP',
    '--error-name=use of follow_imports = skip',
    """--error-description=\
        follow_imports = skip is forbidden from mypy.ini configuration as it \
        is extremely easy to accidentally turn off type checking unintentionally.  If \
        you need to suppress type errors, use a top level # mypy: ignore-errors.  \
        Do not rely on automatic Any substitution; instead, manually # type: ignore \
        at use sites or define a pyi type stub with more relaxed types. \
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'NOQA'
include_patterns = ['**/*.py', '**/*.pyi']
exclude_patterns = [
    'caffe2/**',
    'fb/**',
    '**/fb/**'
    ]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=# noqa([^:]|$)',
    '--linter-name=NOQA',
    '--error-name=unqualified noqa',
    """--error-description=\
        This line has an unqualified `noqa`; \
        please convert it to `noqa: XXXX`\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'NATIVEFUNCTIONS'
include_patterns=['aten/src/ATen/native/native_functions.yaml']
command = [
    'python3',
    'tools/linter/adapters/nativefunctions_linter.py',
    '--native-functions-yml=aten/src/ATen/native/native_functions.yaml',
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'ruamel.yaml==0.17.4',
]
is_formatter = true

[[linter]]
code = 'NEWLINE'
include_patterns=['**']
exclude_patterns=[
    '**/contrib/**',
    'third_party/**',
    '**/*.bat',
    '**/*.expect',
    '**/*.ipynb',
    '**/*.ps1',
    '**/*.ptl',
    'fb/**',
    '**/fb/**',
    'tools/clang_format_hash/**',
    'test/cpp/jit/upgrader_models/*.ptl',
    'test/cpp/jit/upgrader_models/*.ptl.ff',
    '**/*.png',
    '**/*.gz',
]
command = [
    'python3',
    'tools/linter/adapters/newlines_linter.py',
    '--',
    '@{{PATHSFILE}}',
]
is_formatter = true

[[linter]]
code = 'CONSTEXPR'
include_patterns=['aten/src/ATen/native/cuda/*.cu']
command = [
    'python3',
    'tools/linter/adapters/constexpr_linter.py',
    '--',
    '@{{PATHSFILE}}',
]
is_formatter = true

[[linter]]
code = 'SPACES'
include_patterns = ['**']
exclude_patterns = [
    '**/contrib/**',
    '**/*.diff',
    '**/*.patch',
    'third_party/**',
    'aten/src/ATen/native/vulkan/api/vk_mem_alloc.h',
    'fb/**',
    '**/fb/**',
    'test/cpp/jit/upgrader_models/*.ptl',
    'test/cpp/jit/upgrader_models/*.ptl.ff',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=[[:blank:]]$',
    '--linter-name=SPACES',
    '--error-name=trailing spaces',
    '--replace-pattern=s/[[:blank:]]+$//',
    """--error-description=\
        This line has trailing spaces; please remove them.\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'TABS'
include_patterns = ['**']
exclude_patterns = [
    '**/*.svg',
    '**/*Makefile',
    '**/contrib/**',
    'third_party/**',
    '**/.gitattributes',
    '**/.gitmodules',
    'fb/**',
    '**/fb/**',
    'aten/src/ATen/native/vulkan/api/vk_mem_alloc.h',
    'test/cpp/jit/upgrader_models/*.ptl',
    'test/cpp/jit/upgrader_models/*.ptl.ff',
    '.lintrunner.toml',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    # @lint-ignore TXT2
    '--pattern=	',
    '--linter-name=TABS',
    '--error-name=saw some tabs',
    '--replace-pattern=s/\t/    /',
    """--error-description=\
        This line has tabs; please replace them with spaces.\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'INCLUDE'
include_patterns = [
    'c10/**',
    'aten/**',
    'torch/csrc/**',
]
exclude_patterns = [
    'aten/src/ATen/native/quantized/cpu/qnnpack/**',
    'aten/src/ATen/native/vulkan/api/vk_mem_alloc.h',
    'aten/src/ATen/native/vulkan/glsl/**',
    '**/fb/**',
    'torch/csrc/jit/serialization/mobile_bytecode_generated.h',
    'torch/csrc/utils/pythoncapi_compat.h',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=#include "',
    '--linter-name=INCLUDE',
    '--error-name=quoted include',
    '--replace-pattern=s/#include "(.*)"$/#include <\1>/',
    """--error-description=\
        This #include uses quotes; please convert it to #include <xxxx>\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'PYBIND11_INCLUDE'
include_patterns = [
    '**/*.cpp',
    '**/*.h',
]
exclude_patterns = [
    'torch/csrc/utils/pybind.h',
    'torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp',
    'caffe2/**/*',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=#include <pybind11\/',
    '--allowlist-pattern=#include <torch\/csrc\/utils\/pybind.h>',
    '--linter-name=PYBIND11_INCLUDE',
    '--match-first-only',
    '--error-name=direct include of pybind11',
    # https://stackoverflow.com/a/33416489/23845
    # NB: this won't work if the pybind11 include is on the first line;
    # but that's fine because it will just mean the lint will still fail
    # after applying the change and you will have to fix it manually
    '--replace-pattern=1,/(#include <pybind11\/)/ s/(#include <pybind11\/)/#include <torch\/csrc\/utils\/pybind.h>\n\1/',
    """--error-description=\
        This #include directly includes pybind11 without also including \
        #include <torch/csrc/utils/pybind.h>;  this means some important \
        specializations may not be included.\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'ERROR_PRONE_ISINSTANCE'
include_patterns = [
    'torch/_refs/**/*.py',
    'torch/_prims/**/*.py',
    'torch/_prims_common/**/*.py',
    'torch/_decomp/**/*.py',
    'torch/_meta_registrations.py',
]
exclude_patterns = [
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=isinstance\([^)]+(int|float)\)',
    '--linter-name=ERROR_PRONE_ISINSTANCE',
    '--error-name=error prone isinstance',
    """--error-description=\
        This line has an isinstance call that directly refers to \
        int or float.  This is error-prone because you may also \
        have wanted to allow SymInt or SymFloat in your test.  \
        To suppress this lint, use an appropriate type alias defined \
        in torch._prims_common; use IntLike/FloatLike when you would accept \
        both regular and symbolic numbers, Dim for ints representing \
        dimensions, or IntWithoutSymInt/FloatWithoutSymFloat if you really \
        meant to exclude symbolic numbers.
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'PYBIND11_SPECIALIZATION'
include_patterns = [
    '**/*.cpp',
    '**/*.h',
]
exclude_patterns = [
    # The place for all orphan specializations
    'torch/csrc/utils/pybind.h',
    # These specializations are non-orphan
    'torch/csrc/distributed/c10d/init.cpp',
    'torch/csrc/jit/python/pybind.h',
    'fb/**',
    '**/fb/**',
    # These are safe to exclude as they do not have Python
    'c10/**/*',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=PYBIND11_DECLARE_HOLDER_TYPE',
    '--linter-name=PYBIND11_SPECIALIZATION',
    '--error-name=pybind11 specialization in non-standard location',
    """--error-description=\
        This pybind11 specialization (PYBIND11_DECLARE_HOLDER_TYPE) should \
        be placed in torch/csrc/utils/pybind.h so that it is guaranteed to be \
        included at any site that may potentially make use of it via py::cast. \
        If your specialization is in the same header file as the definition \
        of the holder type, you can ignore this lint by adding your header to \
        the exclude_patterns for this lint in .lintrunner.toml.  For more \
        information see https://github.com/pybind/pybind11/issues/4099 \
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'PYPIDEP'
include_patterns = ['.github/**']
exclude_patterns = [
    '**/*.rst',
    '**/*.py',
    '**/*.md',
    '**/*.diff',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    """--pattern=\
    (pip|pip3|python -m pip|python3 -m pip|python3 -mpip|python -mpip) \
    install ([a-zA-Z0-9][A-Za-z0-9\\._\\-]+)([^/=<>~!]+)[A-Za-z0-9\\._\\-\\*\\+\\!]*$\
    """,
    '--linter-name=PYPIDEP',
    '--error-name=unpinned PyPI install',
    """--error-description=\
        This line has unpinned PyPi installs; \
        please pin them to a specific version: e.g. 'thepackage==1.2'\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'EXEC'
include_patterns = ['**']
exclude_patterns = [
    'third_party/**',
    'torch/bin/**',
    '**/*.so',
    '**/*.py',
    '**/*.sh',
    '**/*.bash',
    '**/git-pre-commit',
    '**/git-clang-format',
    '**/gradlew',
    'fb/**',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/exec_linter.py',
    '--',
    '@{{PATHSFILE}}',
]

[[linter]]
code = 'CUBINCLUDE'
include_patterns = ['aten/**']
exclude_patterns = [
    'aten/src/ATen/cuda/cub*.cuh',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=#include <cub/',
    '--linter-name=CUBINCLUDE',
    '--error-name=direct cub include',
    """--error-description=\
        This line has a direct cub include; please include \
        ATen/cuda/cub.cuh instead and wrap your cub calls in \
        at::native namespace if necessary.
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'RAWCUDA'
include_patterns = [
    'aten/**',
    'c10/**',
]
exclude_patterns = [
    'aten/src/ATen/test/**',
    'c10/cuda/CUDAFunctions.h',
    'c10/cuda/CUDACachingAllocator.cpp',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=cudaStreamSynchronize',
    '--linter-name=RAWCUDA',
    '--error-name=raw CUDA API usage',
    """--error-description=\
        This line calls raw CUDA APIs directly; please use at::cuda wrappers instead.
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'RAWCUDADEVICE'
include_patterns = [
    'aten/**',
    'c10/**',
    'torch/csrc/**',
]
exclude_patterns = [
    'aten/src/ATen/cuda/CUDAContext.cpp',
    'aten/src/ATen/cuda/CUDAGeneratorImpl.cpp',
    'aten/src/ATen/test/**',
    'c10/core/impl/InlineDeviceGuard.h',
    'c10/cuda/CUDAFunctions.cpp',
    'c10/cuda/CUDAGuard.h',
    'c10/cuda/impl/CUDATest.cpp',
    'torch/csrc/cuda/nccl.cpp',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=cudaSetDevice(',
    '--pattern=cudaGetDevice(',
    '--linter-name=RAWCUDADEVICE',
    '--error-name=raw CUDA API usage',
    """--error-description=\
        This line calls raw CUDA APIs directly; please use c10::cuda wrappers instead.
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'ROOT_LOGGING'
include_patterns = [
    '**/*.py',
]
# These are not library code, but scripts in their own right, and so
# therefore are permitted to use logging
exclude_patterns = [
    'tools/**',
    'test/**',
    'benchmarks/**',
    'torch/distributed/run.py',
    'functorch/benchmarks/**',
    # Grandfathered in
    'caffe2/**',
    'fb/**',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=logging\.(debug|info|warn|warning|error|critical|log|exception)\(',
    '--replace-pattern=s/logging\.(debug|info|warn|warning|error|critical|log|exception)\(/log.\1(/',
    '--linter-name=ROOT_LOGGING',
    '--error-name=use of root logger',
    """--error-description=\
        Do not use root logger (logging.info, etc) directly; instead \
        define 'log = logging.getLogger(__name__)' and call, e.g., log.info().
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'DEPLOY_DETECTION'
include_patterns = [
    '**/*.py',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=sys\.executable == .torch_deploy.',
    '--replace-pattern=s/sys\.executable == .torch_deploy./torch._running_with_deploy\(\)/',
    '--linter-name=DEPLOY_DETECTION',
    '--error-name=properly detect deploy runner',
    """--error-description=\
        Do not use sys.executable to detect if running within deploy/multipy, use torch._running_with_deploy().
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'CMAKE'
include_patterns = [
    "**/*.cmake",
    "**/*.cmake.in",
    "**/CMakeLists.txt",
]
exclude_patterns = [
    'cmake/Modules/**',
    'cmake/Modules_CUDA_fix/**',
    'cmake/Caffe2Config.cmake.in',
    'aten/src/ATen/ATenConfig.cmake.in',
    'cmake/TorchConfig.cmake.in',
    'cmake/TorchConfigVersion.cmake.in',
    'cmake/cmake_uninstall.cmake.i',
    'fb/**',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/cmake_linter.py',
    '--config=.cmakelintrc',
    '--',
    '@{{PATHSFILE}}',
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'cmakelint==1.4.1',
]

[[linter]]
code = 'SHELLCHECK'
include_patterns = [
    '.ci/pytorch/**/*.sh'
]
exclude_patterns = [
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/shellcheck_linter.py',
    '--',
    '@{{PATHSFILE}}',
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'shellcheck-py==0.7.2.1',
]

[[linter]]
code = 'ACTIONLINT'
include_patterns = [
    '.github/workflows/*.yml',
    '.github/workflows/*.yaml',
    # actionlint does not support composite actions yet
    # '.github/actions/**/*.yml',
    # '.github/actions/**/*.yaml',
]
exclude_patterns = [
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/actionlint_linter.py',
    '--binary=.lintbin/actionlint',
    '--',
    '@{{PATHSFILE}}',
]
init_command = [
    'python3',
    'tools/linter/adapters/s3_init.py',
    '--config-json=tools/linter/adapters/s3_init_config.json',
    '--linter=actionlint',
    '--dry-run={{DRYRUN}}',
    '--output-dir=.lintbin',
    '--output-name=actionlint',
]

[[linter]]
code = 'TESTOWNERS'
include_patterns = [
    'test/**/test_*.py',
    'test/**/*_test.py',
]
exclude_patterns = [
    'test/run_test.py',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/testowners_linter.py',
    '--',
    '@{{PATHSFILE}}',
]

[[linter]]
code = 'TEST_HAS_MAIN'
include_patterns = [
    'test/**/test_*.py',
]
exclude_patterns = [
    'test/run_test.py',
    '**/fb/**',
    'test/quantization/**',  # should be run through test/test_quantization.py
    'test/jit/**',  # should be run through test/test_jit.py
    'test/ao/sparsity/**',  # should be run through test/test_ao_sparsity.py
    'test/fx/**',  # should be run through test/test_fx.py
    'test/bottleneck_test/**',  # excluded by test/run_test.py
    'test/package/**',  # excluded by test/run_test.py
    'test/distributed/argparse_util_test.py',
    'test/distributed/bin/test_script.py',
    'test/distributed/elastic/agent/server/test/local_elastic_agent_test.py',
    'test/distributed/elastic/multiprocessing/bin/test_script.py',
    'test/distributed/elastic/multiprocessing/bin/zombie_test.py',
    'test/distributed/elastic/multiprocessing/errors/api_test.py',
    'test/distributed/elastic/multiprocessing/errors/error_handler_test.py',
    'test/distributed/elastic/multiprocessing/redirects_test.py',
    'test/distributed/elastic/multiprocessing/tail_log_test.py',
    'test/distributed/elastic/rendezvous/api_test.py',
    'test/distributed/elastic/rendezvous/c10d_rendezvous_backend_test.py',
    'test/distributed/elastic/rendezvous/dynamic_rendezvous_test.py',
    'test/distributed/elastic/rendezvous/etcd_rendezvous_backend_test.py',
    'test/distributed/elastic/rendezvous/etcd_rendezvous_test.py',
    'test/distributed/elastic/rendezvous/etcd_server_test.py',
    'test/distributed/elastic/rendezvous/rendezvous_backend_test.py',
    'test/distributed/elastic/rendezvous/static_rendezvous_test.py',
    'test/distributed/elastic/rendezvous/utils_test.py',
    'test/distributed/elastic/timer/api_test.py',
    'test/distributed/elastic/utils/data/cycling_iterator_test.py',
    'test/distributed/launcher/api_test.py',
    'test/distributed/launcher/bin/test_script.py',
    'test/distributed/launcher/bin/test_script_init_method.py',
    'test/distributed/launcher/bin/test_script_is_torchelastic_launched.py',
    'test/distributed/launcher/bin/test_script_local_rank.py',
    'test/distributed/launcher/launch_test.py',
    'test/distributed/launcher/run_test.py',
    'test/distributed/optim/test_apply_optimizer_in_backward.py',
    'test/distributed/optim/test_named_optimizer.py',
    'test/distributed/test_c10d_spawn.py',
    'test/distributed/test_collective_utils.py',
    'test/distributions/test_distributions.py',
    'test/inductor/test_aot_inductor_utils.py',
    'test/lazy/test_bindings.py',
    'test/lazy/test_extract_compiled_graph.py',
    'test/lazy/test_meta_kernel.py',
    'test/nn/test_init.py',
    'test/onnx/model_defs/op_test.py',
    'test/onnx/test_models_quantized_onnxruntime.py',
    'test/onnx/test_onnxscript_no_runtime.py',
    'test/onnx_caffe2/test_caffe2_common.py',
    'test/optim/test_lrscheduler.py',
    'test/optim/test_optim.py',
    'test/optim/test_swa_utils.py',
    'test/run_test.py',
    'test/test_bundled_images.py',
    'test/test_cuda_expandable_segments.py',
    'test/test_hub.py',
]
command = [
    'python3',
    'tools/linter/adapters/test_has_main_linter.py',
    '--',
    '@{{PATHSFILE}}',
]

[[linter]]
code = 'CALL_ONCE'
include_patterns = [
    'c10/**',
    'aten/**',
    'torch/csrc/**',
]
exclude_patterns = [
    'c10/util/CallOnce.h',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=std::call_once',
    '--linter-name=CALL_ONCE',
    '--error-name=invalid call_once',
    '--replace-pattern=s/std::call_once/c10::call_once/',
    """--error-description=\
        Use of std::call_once is forbidden and should be replaced with c10::call_once\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'ONCE_FLAG'
include_patterns = [
    'c10/**',
    'aten/**',
    'torch/csrc/**',
]
exclude_patterns = [
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=std::once_flag',
    '--linter-name=ONCE_FLAG',
    '--error-name=invalid once_flag',
    '--replace-pattern=s/std::once_flag/c10::once_flag/',
    """--error-description=\
        Use of std::once_flag is forbidden and should be replaced with c10::once_flag\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'WORKFLOWSYNC'
include_patterns = [
    '.github/workflows/pull.yml',
    '.github/workflows/trunk.yml',
    '.github/workflows/periodic.yml',
    '.github/workflows/mac-mps.yml',
    '.github/workflows/slow.yml',
]
command = [
    'python3',
    'tools/linter/adapters/workflow_consistency_linter.py',
    '--',
    '@{{PATHSFILE}}'
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'PyYAML==6.0.1',
]

# Black + usort
[[linter]]
code = 'UFMT'
include_patterns = [
    '**/*.py',
    '**/*.pyi',
]
command = [
    'python3',
    'tools/linter/adapters/ufmt_linter.py',
    '--',
    '@{{PATHSFILE}}'
]
exclude_patterns = [
    'tools/gen_vulkan_spv.py',
    # We don't care too much about files in this directory, don't enforce
    # formatting on them
    'caffe2/**/*.py',
    'caffe2/**/*.pyi',
    'fb/**',
    '**/fb/**',
    'third_party/**/*.py',
    'third_party/**/*.pyi',
    'torch/_inductor/fx_passes/serialized_patterns/**',
    # These files are all grandfathered in, feel free to remove from this list
    # as necessary
    'test/_nvfuser/__init__.py',
    'test/_nvfuser/test_dynamo.py',
    'test/_nvfuser/test_python_frontend.py',
    'test/_nvfuser/test_torchscript.py',
    'test/delete.py',
    'test/expect/__init__.py',
    'test/quantization/__init__.py',
    'test/quantization/core/__init__.py',
    'test/quantization/core/experimental/apot_fx_graph_mode_ptq.py',
    'test/quantization/core/experimental/apot_fx_graph_mode_qat.py',
    'test/quantization/core/experimental/quantization_util.py',
    'test/quantization/core/experimental/test_bits.py',
    'test/quantization/core/experimental/test_fake_quantize.py',
    'test/quantization/core/experimental/test_linear.py',
    'test/quantization/core/experimental/test_nonuniform_observer.py',
    'test/quantization/core/experimental/test_quantized_tensor.py',
    'test/quantization/core/experimental/test_quantizer.py',
    'test/quantization/core/test_backend_config.py',
    'test/quantization/core/test_docs.py',
    'test/quantization/core/test_quantized_functional.py',
    'test/quantization/core/test_quantized_module.py',
    'test/quantization/core/test_quantized_op.py',
    'test/quantization/core/test_quantized_tensor.py',
    'test/quantization/core/test_top_level_apis.py',
    'test/quantization/core/test_utils.py',
    'test/quantization/core/test_workflow_module.py',
    'test/quantization/core/test_workflow_ops.py',
    'test/quantization/eager/__init__.py',
    'test/quantization/eager/test_bias_correction_eager.py',
    'test/quantization/eager/test_equalize_eager.py',
    'test/quantization/eager/test_fuse_eager.py',
    'test/quantization/eager/test_model_numerics.py',
    'test/quantization/eager/test_numeric_suite_eager.py',
    'test/quantization/eager/test_quantize_eager_ptq.py',
    'test/quantization/eager/test_quantize_eager_qat.py',
    'test/quantization/fx/__init__.py',
    'test/quantization/fx/test_equalize_fx.py',
    'test/quantization/fx/test_model_report_fx.py',
    'test/quantization/fx/test_numeric_suite_fx.py',
    'test/quantization/fx/test_quantize_fx.py',
    'test/quantization/fx/test_subgraph_rewriter.py',
    'test/test_fake_tensor.py',
    'test/test_flop_counter.py',
    'test/test_function_schema.py',
    'test/test_functional_autograd_benchmark.py',
    'test/test_functional_optim.py',
    'test/test_functionalization_of_rng_ops.py',
    'test/test_datapipe.py',
    'test/test_futures.py',
    'test/test_fx.py',
    'test/test_fx_experimental.py',
    'test/test_fx_passes.py',
    'test/test_fx_reinplace_pass.py',
    'test/test_import_stats.py',
    'test/test_itt.py',
    'test/test_jit.py',
    'test/test_jit_autocast.py',
    'test/test_jit_cuda_fuser.py',
    'test/test_jit_disabled.py',
    'test/test_jit_fuser.py',
    'test/test_jit_fuser_legacy.py',
    'test/test_jit_legacy.py',
    'test/test_jit_llga_fuser.py',
    'test/test_jit_profiling.py',
    'test/test_jit_simple.py',
    'test/test_jit_string.py',
    'test/test_jiterator.py',
    'test/test_kernel_launch_checks.py',
    'test/test_linalg.py',
    'test/test_masked.py',
    'test/test_maskedtensor.py',
    'test/test_matmul_cuda.py',
    'test/test_meta.py',
    'test/test_metal.py',
    'test/test_mkl_verbose.py',
    'test/test_mkldnn.py',
    'test/test_mkldnn_fusion.py',
    'test/test_mkldnn_verbose.py',
    'test/test_mobile_optimizer.py',
    'test/test_model_dump.py',
    'test/test_modules.py',
    'test/test_monitor.py',
    'test/test_mps.py',
    'test/test_multiprocessing_spawn.py',
    'test/test_namedtensor.py',
    'test/test_namedtuple_return_api.py',
    'test/test_native_functions.py',
    'test/test_native_mha.py',
    'test/test_nn.py',
    'test/test_out_dtype_op.py',
    'test/test_overrides.py',
    'test/test_prims.py',
    'test/test_proxy_tensor.py',
    'test/test_pruning_op.py',
    'test/test_quantization.py',
    'test/test_reductions.py',
    'test/test_scatter_gather_ops.py',
    'test/test_schema_check.py',
    'test/test_segment_reductions.py',
    'test/test_serialization.py',
    'test/test_set_default_mobile_cpu_allocator.py',
    'test/test_sparse.py',
    'test/test_sparse_csr.py',
    'test/test_sparse_semi_structured.py',
    'test/test_spectral_ops.py',
    'test/test_stateless.py',
    'test/test_static_runtime.py',
    'test/test_subclass.py',
    'test/test_sympy_utils.py',
    'test/test_tensor_creation_ops.py',
    'test/test_tensorboard.py',
    'test/test_tensorexpr.py',
    'test/test_tensorexpr_pybind.py',
    'test/test_testing.py',
    'test/test_torch.py',
    'test/test_transformers.py',
    'test/test_type_promotion.py',
    'test/test_unary_ufuncs.py',
    'test/test_vulkan.py',
    'torch/_awaits/__init__.py',
    'torch/_custom_op/__init__.py',
    'torch/_custom_op/autograd.py',
    'torch/_custom_op/functional.py',
    'torch/_custom_op/impl.py',
    'torch/_export/__init__.py',
    'torch/_export/constraints.py',
    'torch/_export/db/__init__.py',
    'torch/_export/db/case.py',
    'torch/_export/db/examples/__init__.py',
    'torch/_export/db/examples/assume_constant_result.py',
    'torch/_export/db/examples/autograd_function.py',
    'torch/_export/db/examples/class_method.py',
    'torch/_export/db/examples/cond_branch_class_method.py',
    'torch/_export/db/examples/cond_branch_nested_function.py',
    'torch/_export/db/examples/cond_branch_nonlocal_variables.py',
    'torch/_export/db/examples/cond_closed_over_variable.py',
    'torch/_export/db/examples/cond_operands.py',
    'torch/_export/db/examples/cond_predicate.py',
    'torch/_export/db/examples/decorator.py',
    'torch/_export/db/examples/dictionary.py',
    'torch/_export/db/examples/dynamic_shape_assert.py',
    'torch/_export/db/examples/dynamic_shape_constructor.py',
    'torch/_export/db/examples/dynamic_shape_if_guard.py',
    'torch/_export/db/examples/dynamic_shape_map.py',
    'torch/_export/db/examples/dynamic_shape_round.py',
    'torch/_export/db/examples/dynamic_shape_slicing.py',
    'torch/_export/db/examples/dynamic_shape_view.py',
    'torch/_export/db/examples/fn_with_kwargs.py',
    'torch/_export/db/examples/list_contains.py',
    'torch/_export/db/examples/list_unpack.py',
    'torch/_export/db/examples/nested_function.py',
    'torch/_export/db/examples/null_context_manager.py',
    'torch/_export/db/examples/pytree_flatten.py',
    'torch/_export/db/examples/scalar_output.py',
    'torch/_export/db/examples/specialized_attribute.py',
    'torch/_export/db/examples/static_for_loop.py',
    'torch/_export/db/examples/static_if.py',
    'torch/_export/db/examples/tensor_setattr.py',
    'torch/_export/db/examples/type_reflection_method.py',
    'torch/_export/db/gen_example.py',
    'torch/_export/db/logging.py',
    'torch/_export/error.py',
    'torch/_export/exported_program.py',
    'torch/_export/pass_base.py',
    'torch/_export/pass_infra/__init__.py',
    'torch/_export/pass_infra/node_metadata.py',
    'torch/_export/pass_infra/proxy_value.py',
    'torch/_export/passes/__init__.py',
    'torch/_export/passes/add_runtime_assertions_for_constraints_pass.py',
    'torch/_export/passes/const_prop_pass.py',
    'torch/_export/passes/functionalize_side_effectful_ops_pass.py',
    'torch/_export/passes/replace_sym_size_ops_pass.py',
    'torch/_export/passes/replace_view_ops_with_view_copy_ops_pass.py',
    'torch/_export/serde/__init__.py',
    'torch/_export/serde/schema.py',
    'torch/_export/serde/serialize.py',
    'torch/_export/serde/upgrade.py',
    'torch/_export/trace.py',
    'torch/_export/verifier.py',
    'torch/_vendor/**',
    'torch/ao/__init__.py',
    'torch/ao/nn/__init__.py',
    'torch/ao/nn/intrinsic/__init__.py',
    'torch/ao/nn/intrinsic/modules/__init__.py',
    'torch/ao/nn/intrinsic/modules/fused.py',
    'torch/ao/nn/intrinsic/qat/__init__.py',
    'torch/ao/nn/intrinsic/qat/modules/__init__.py',
    'torch/ao/nn/intrinsic/qat/modules/conv_fused.py',
    'torch/ao/nn/intrinsic/qat/modules/linear_fused.py',
    'torch/ao/nn/intrinsic/qat/modules/linear_relu.py',
    'torch/ao/nn/intrinsic/quantized/__init__.py',
    'torch/ao/nn/intrinsic/quantized/dynamic/__init__.py',
    'torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py',
    'torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py',
    'torch/ao/nn/intrinsic/quantized/modules/__init__.py',
    'torch/ao/nn/intrinsic/quantized/modules/bn_relu.py',
    'torch/ao/nn/intrinsic/quantized/modules/conv_add.py',
    'torch/ao/nn/intrinsic/quantized/modules/conv_relu.py',
    'torch/ao/nn/intrinsic/quantized/modules/linear_relu.py',
    'torch/ao/nn/qat/__init__.py',
    'torch/ao/nn/qat/dynamic/__init__.py',
    'torch/ao/nn/qat/dynamic/modules/__init__.py',
    'torch/ao/nn/qat/dynamic/modules/linear.py',
    'torch/ao/nn/qat/modules/__init__.py',
    'torch/ao/nn/qat/modules/conv.py',
    'torch/ao/nn/qat/modules/embedding_ops.py',
    'torch/ao/nn/qat/modules/linear.py',
    'torch/ao/nn/quantizable/__init__.py',
    'torch/ao/nn/quantizable/modules/__init__.py',
    'torch/ao/nn/quantizable/modules/activation.py',
    'torch/ao/nn/quantizable/modules/rnn.py',
    'torch/ao/nn/quantized/__init__.py',
    'torch/ao/nn/quantized/dynamic/__init__.py',
    'torch/ao/nn/quantized/dynamic/modules/__init__.py',
    'torch/ao/nn/quantized/dynamic/modules/conv.py',
    'torch/ao/nn/quantized/dynamic/modules/linear.py',
    'torch/ao/nn/quantized/dynamic/modules/rnn.py',
    'torch/ao/nn/quantized/functional.py',
    'torch/ao/nn/quantized/modules/__init__.py',
    'torch/ao/nn/quantized/modules/activation.py',
    'torch/ao/nn/quantized/modules/batchnorm.py',
    'torch/ao/nn/quantized/modules/conv.py',
    'torch/ao/nn/quantized/modules/dropout.py',
    'torch/ao/nn/quantized/modules/embedding_ops.py',
    'torch/ao/nn/quantized/modules/functional_modules.py',
    'torch/ao/nn/quantized/modules/linear.py',
    'torch/ao/nn/quantized/modules/normalization.py',
    'torch/ao/nn/quantized/modules/rnn.py',
    'torch/ao/nn/quantized/modules/utils.py',
    'torch/ao/nn/quantized/reference/__init__.py',
    'torch/ao/nn/quantized/reference/modules/__init__.py',
    'torch/ao/nn/quantized/reference/modules/conv.py',
    'torch/ao/nn/quantized/reference/modules/linear.py',
    'torch/ao/nn/quantized/reference/modules/rnn.py',
    'torch/ao/nn/quantized/reference/modules/sparse.py',
    'torch/ao/nn/quantized/reference/modules/utils.py',
    'torch/ao/nn/sparse/__init__.py',
    'torch/ao/nn/sparse/quantized/__init__.py',
    'torch/ao/nn/sparse/quantized/dynamic/__init__.py',
    'torch/ao/nn/sparse/quantized/dynamic/linear.py',
    'torch/ao/nn/sparse/quantized/linear.py',
    'torch/ao/nn/sparse/quantized/utils.py',
    'torch/ao/ns/__init__.py',
    'torch/ao/ns/_numeric_suite.py',
    'torch/ao/ns/_numeric_suite_fx.py',
    'torch/ao/ns/fx/__init__.py',
    'torch/ao/ns/fx/graph_matcher.py',
    'torch/ao/ns/fx/graph_passes.py',
    'torch/ao/ns/fx/mappings.py',
    'torch/ao/ns/fx/n_shadows_utils.py',
    'torch/ao/ns/fx/ns_types.py',
    'torch/ao/ns/fx/pattern_utils.py',
    'torch/ao/ns/fx/qconfig_multi_mapping.py',
    'torch/ao/ns/fx/utils.py',
    'torch/ao/ns/fx/weight_utils.py',
    'torch/ao/pruning/__init__.py',
    'torch/ao/pruning/_experimental/__init__.py',
    'torch/ao/pruning/_experimental/activation_sparsifier/__init__.py',
    'torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py',
    'torch/ao/pruning/_experimental/data_scheduler/__init__.py',
    'torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py',
    'torch/ao/pruning/_experimental/data_sparsifier/__init__.py',
    'torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py',
    'torch/ao/pruning/_experimental/data_sparsifier/benchmarks/dlrm_utils.py',
    'torch/ao/pruning/_experimental/data_sparsifier/benchmarks/evaluate_disk_savings.py',
    'torch/ao/pruning/_experimental/data_sparsifier/benchmarks/evaluate_forward_time.py',
    'torch/ao/pruning/_experimental/data_sparsifier/benchmarks/evaluate_model_metrics.py',
    'torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py',
    'torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py',
    'torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py',
    'torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py',
    'torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py',
    'torch/ao/pruning/_experimental/data_sparsifier/lightning/tests/test_callbacks.py',
    'torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py',
    'torch/ao/pruning/_experimental/pruner/__init__.py',
    'torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py',
    'torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py',
    'torch/ao/pruning/_experimental/pruner/match_utils.py',
    'torch/ao/pruning/_experimental/pruner/parametrization.py',
    'torch/ao/pruning/_experimental/pruner/prune_functions.py',
    'torch/ao/pruning/_experimental/pruner/saliency_pruner.py',
    'torch/ao/pruning/_mappings.py',
    'torch/ao/pruning/scheduler/__init__.py',
    'torch/ao/pruning/scheduler/base_scheduler.py',
    'torch/ao/pruning/scheduler/cubic_scheduler.py',
    'torch/ao/pruning/scheduler/lambda_scheduler.py',
    'torch/ao/pruning/sparsifier/__init__.py',
    'torch/ao/pruning/sparsifier/base_sparsifier.py',
    'torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py',
    'torch/ao/pruning/sparsifier/utils.py',
    'torch/ao/pruning/sparsifier/weight_norm_sparsifier.py',
    'torch/ao/quantization/__init__.py',
    'torch/ao/quantization/_correct_bias.py',
    'torch/ao/quantization/_equalize.py',
    'torch/ao/quantization/_learnable_fake_quantize.py',
    'torch/ao/quantization/backend_config/__init__.py',
    'torch/ao/quantization/backend_config/_common_operator_config_utils.py',
    'torch/ao/quantization/backend_config/_qnnpack_pt2e.py',
    'torch/ao/quantization/backend_config/_x86_inductor_pt2e.py',
    'torch/ao/quantization/backend_config/backend_config.py',
    'torch/ao/quantization/backend_config/executorch.py',
    'torch/ao/quantization/backend_config/fbgemm.py',
    'torch/ao/quantization/backend_config/native.py',
    'torch/ao/quantization/backend_config/observation_type.py',
    'torch/ao/quantization/backend_config/onednn.py',
    'torch/ao/quantization/backend_config/qnnpack.py',
    'torch/ao/quantization/backend_config/tensorrt.py',
    'torch/ao/quantization/backend_config/utils.py',
    'torch/ao/quantization/backend_config/x86.py',
    'torch/ao/quantization/experimental/APoT_tensor.py',
    'torch/ao/quantization/experimental/apot_utils.py',
    'torch/ao/quantization/experimental/fake_quantize.py',
    'torch/ao/quantization/experimental/fake_quantize_function.py',
    'torch/ao/quantization/experimental/linear.py',
    'torch/ao/quantization/experimental/observer.py',
    'torch/ao/quantization/experimental/qconfig.py',
    'torch/ao/quantization/experimental/quantizer.py',
    'torch/ao/quantization/fake_quantize.py',
    'torch/ao/quantization/fuse_modules.py',
    'torch/ao/quantization/fuser_method_mappings.py',
    'torch/ao/quantization/fx/__init__.py',
    'torch/ao/quantization/fx/_decomposed.py',
    'torch/ao/quantization/fx/_equalize.py',
    'torch/ao/quantization/fx/_lower_to_native_backend.py',
    'torch/ao/quantization/fx/_model_report/__init__.py',
    'torch/ao/quantization/fx/_model_report/detector.py',
    'torch/ao/quantization/fx/_model_report/model_report.py',
    'torch/ao/quantization/fx/_model_report/model_report_observer.py',
    'torch/ao/quantization/fx/_model_report/model_report_visualizer.py',
    'torch/ao/quantization/fx/convert.py',
    'torch/ao/quantization/fx/custom_config.py',
    'torch/ao/quantization/fx/fuse.py',
    'torch/ao/quantization/fx/fuse_handler.py',
    'torch/ao/quantization/fx/graph_module.py',
    'torch/ao/quantization/fx/lower_to_fbgemm.py',
    'torch/ao/quantization/fx/lower_to_qnnpack.py',
    'torch/ao/quantization/fx/lstm_utils.py',
    'torch/ao/quantization/fx/match_utils.py',
    'torch/ao/quantization/fx/pattern_utils.py',
    'torch/ao/quantization/fx/prepare.py',
    'torch/ao/quantization/fx/qconfig_mapping_utils.py',
    'torch/ao/quantization/fx/quantize_handler.py',
    'torch/ao/quantization/fx/tracer.py',
    'torch/ao/quantization/fx/utils.py',
    'torch/ao/quantization/observer.py',
    'torch/ao/quantization/pt2e/__init__.py',
    'torch/ao/quantization/pt2e/_propagate_annotation.py',
    'torch/ao/quantization/pt2e/graph_utils.py',
    'torch/ao/quantization/pt2e/prepare.py',
    'torch/ao/quantization/pt2e/qat_utils.py',
    'torch/ao/quantization/pt2e/quantizer/__init__.py',
    'torch/ao/quantization/pt2e/quantizer/composable_quantizer.py',
    'torch/ao/quantization/pt2e/quantizer/embedding_quantizer.py',
    'torch/ao/quantization/pt2e/quantizer/qnnpack_quantizer.py',
    'torch/ao/quantization/pt2e/quantizer/quantizer.py',
    'torch/ao/quantization/pt2e/quantizer/utils.py',
    'torch/ao/quantization/pt2e/quantizer/x86_inductor_quantizer.py',
    'torch/ao/quantization/pt2e/representation/__init__.py',
    'torch/ao/quantization/pt2e/representation/rewrite.py',
    'torch/ao/quantization/pt2e/utils.py',
    'torch/ao/quantization/qconfig.py',
    'torch/ao/quantization/qconfig_mapping.py',
    'torch/ao/quantization/quant_type.py',
    'torch/ao/quantization/quantization_mappings.py',
    'torch/ao/quantization/quantize.py',
    'torch/ao/quantization/quantize_fx.py',
    'torch/ao/quantization/quantize_jit.py',
    'torch/ao/quantization/quantize_pt2e.py',
    'torch/ao/quantization/stubs.py',
    'torch/ao/quantization/utils.py',
    'torch/compiler/__init__.py',
    'torch/contrib/__init__.py',
    'torch/contrib/_tensorboard_vis.py',
    "torch/cuda/_gpu_trace.py",
    'torch/cuda/_memory_viz.py',  # mypy: Value of type "object" is not indexable
    'torch/fft/__init__.py',
    'torch/func/__init__.py',
    'torch/futures/__init__.py',
    'torch/fx/__init__.py',
    'torch/fx/_compatibility.py',
    'torch/fx/_symbolic_trace.py',
    'torch/fx/annotate.py',
    'torch/fx/config.py',
    'torch/fx/experimental/__init__.py',
    'torch/fx/experimental/accelerator_partitioner.py',
    'torch/fx/experimental/const_fold.py',
    'torch/fx/experimental/debug.py',
    'torch/fx/experimental/graph_gradual_typechecker.py',
    'torch/fx/experimental/merge_matmul.py',
    'torch/fx/experimental/meta_tracer.py',
    'torch/fx/experimental/migrate_gradual_types/__init__.py',
    'torch/fx/experimental/migrate_gradual_types/constraint.py',
    'torch/fx/experimental/migrate_gradual_types/constraint_generator.py',
    'torch/fx/experimental/migrate_gradual_types/constraint_transformation.py',
    'torch/fx/experimental/migrate_gradual_types/operation.py',
    'torch/fx/experimental/migrate_gradual_types/transform_to_z3.py',
    'torch/fx/experimental/migrate_gradual_types/util.py',
    'torch/fx/experimental/migrate_gradual_types/z3_types.py',
    'torch/fx/experimental/normalize.py',
    'torch/fx/experimental/optimization.py',
    'torch/fx/experimental/partitioner_utils.py',
    'torch/fx/experimental/proxy_tensor.py',
    'torch/fx/experimental/refinement_types.py',
    'torch/fx/experimental/rewriter.py',
    'torch/fx/experimental/schema_type_annotation.py',
    'torch/fx/experimental/symbolic_shapes.py',
    'torch/fx/experimental/unification/__init__.py',
    'torch/fx/experimental/unification/core.py',
    'torch/fx/experimental/unification/dispatch.py',
    'torch/fx/experimental/unification/match.py',
    'torch/fx/experimental/unification/more.py',
    'torch/fx/experimental/unification/multipledispatch/__init__.py',
    'torch/fx/experimental/unification/multipledispatch/conflict.py',
    'torch/fx/experimental/unification/multipledispatch/core.py',
    'torch/fx/experimental/unification/multipledispatch/dispatcher.py',
    'torch/fx/experimental/unification/multipledispatch/utils.py',
    'torch/fx/experimental/unification/multipledispatch/variadic.py',
    'torch/fx/experimental/unification/unification_tools.py',
    'torch/fx/experimental/unification/utils.py',
    'torch/fx/experimental/unification/variable.py',
    'torch/fx/experimental/unify_refinements.py',
    'torch/fx/experimental/validator.py',
    'torch/fx/graph.py',
    'torch/fx/graph_module.py',
    'torch/fx/interpreter.py',
    'torch/fx/node.py',
    'torch/fx/operator_schemas.py',
    'torch/fx/passes/__init__.py',
    'torch/fx/passes/annotate_getitem_nodes.py',
    'torch/fx/passes/backends/__init__.py',
    'torch/fx/passes/backends/cudagraphs.py',
    'torch/fx/passes/dialect/__init__.py',
    'torch/fx/passes/dialect/common/__init__.py',
    'torch/fx/passes/dialect/common/cse_pass.py',
    'torch/fx/passes/fake_tensor_prop.py',
    'torch/fx/passes/graph_drawer.py',
    'torch/fx/passes/graph_manipulation.py',
    'torch/fx/passes/infra/__init__.py',
    'torch/fx/passes/infra/partitioner.py',
    'torch/fx/passes/infra/pass_base.py',
    'torch/fx/passes/infra/pass_manager.py',
    'torch/fx/passes/net_min_base.py',
    'torch/fx/passes/operator_support.py',
    'torch/fx/passes/param_fetch.py',
    'torch/fx/passes/pass_manager.py',
    'torch/fx/passes/reinplace.py',
    'torch/fx/passes/shape_prop.py',
    'torch/fx/passes/split_module.py',
    'torch/fx/passes/split_utils.py',
    'torch/fx/passes/splitter_base.py',
    'torch/fx/passes/tests/__init__.py',
    'torch/fx/passes/tests/test_pass_manager.py',
    'torch/fx/passes/tools_common.py',
    'torch/fx/passes/utils/__init__.py',
    'torch/fx/passes/utils/common.py',
    'torch/fx/passes/utils/fuser_utils.py',
    'torch/fx/passes/utils/matcher_utils.py',
    'torch/fx/passes/utils/source_matcher_utils.py',
    'torch/fx/proxy.py',
    'torch/fx/subgraph_rewriter.py',
    'torch/fx/tensor_type.py',
    'torch/fx/traceback.py',
    'torch/linalg/__init__.py',
    'torch/monitor/__init__.py',
    'torch/nested/__init__.py',
    'torch/nn/intrinsic/__init__.py',
    'torch/nn/intrinsic/modules/__init__.py',
    'torch/nn/intrinsic/modules/fused.py',
    'torch/nn/intrinsic/qat/__init__.py',
    'torch/nn/intrinsic/qat/modules/__init__.py',
    'torch/nn/intrinsic/qat/modules/conv_fused.py',
    'torch/nn/intrinsic/qat/modules/linear_fused.py',
    'torch/nn/intrinsic/qat/modules/linear_relu.py',
    'torch/nn/intrinsic/quantized/__init__.py',
    'torch/nn/intrinsic/quantized/dynamic/__init__.py',
    'torch/nn/intrinsic/quantized/dynamic/modules/__init__.py',
    'torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py',
    'torch/nn/intrinsic/quantized/modules/__init__.py',
    'torch/nn/intrinsic/quantized/modules/bn_relu.py',
    'torch/nn/intrinsic/quantized/modules/conv_relu.py',
    'torch/nn/intrinsic/quantized/modules/linear_relu.py',
    'torch/nn/qat/__init__.py',
    'torch/nn/qat/dynamic/__init__.py',
    'torch/nn/qat/dynamic/modules/__init__.py',
    'torch/nn/qat/dynamic/modules/linear.py',
    'torch/nn/qat/modules/__init__.py',
    'torch/nn/qat/modules/conv.py',
    'torch/nn/qat/modules/embedding_ops.py',
    'torch/nn/qat/modules/linear.py',
    'torch/nn/quantizable/__init__.py',
    'torch/nn/quantizable/modules/__init__.py',
    'torch/nn/quantizable/modules/activation.py',
    'torch/nn/quantizable/modules/rnn.py',
    'torch/nn/quantized/__init__.py',
    'torch/nn/quantized/_reference/__init__.py',
    'torch/nn/quantized/_reference/modules/__init__.py',
    'torch/nn/quantized/_reference/modules/conv.py',
    'torch/nn/quantized/_reference/modules/linear.py',
    'torch/nn/quantized/_reference/modules/rnn.py',
    'torch/nn/quantized/_reference/modules/sparse.py',
    'torch/nn/quantized/_reference/modules/utils.py',
    'torch/nn/quantized/dynamic/__init__.py',
    'torch/nn/quantized/dynamic/modules/__init__.py',
    'torch/nn/quantized/dynamic/modules/conv.py',
    'torch/nn/quantized/dynamic/modules/linear.py',
    'torch/nn/quantized/dynamic/modules/rnn.py',
    'torch/nn/quantized/functional.py',
    'torch/nn/quantized/modules/__init__.py',
    'torch/nn/quantized/modules/activation.py',
    'torch/nn/quantized/modules/batchnorm.py',
    'torch/nn/quantized/modules/conv.py',
    'torch/nn/quantized/modules/dropout.py',
    'torch/nn/quantized/modules/embedding_ops.py',
    'torch/nn/quantized/modules/functional_modules.py',
    'torch/nn/quantized/modules/linear.py',
    'torch/nn/quantized/modules/normalization.py',
    'torch/nn/quantized/modules/rnn.py',
    'torch/nn/quantized/modules/utils.py',
    'torch/signal/__init__.py',
    'torch/signal/windows/__init__.py',
    'torch/signal/windows/windows.py',
    'torch/special/__init__.py',
    'torch/testing/_internal/__init__.py',
    'torch/testing/_internal/autocast_test_lists.py',
    'torch/testing/_internal/autograd_function_db.py',
    'torch/testing/_internal/check_kernel_launches.py',
    'torch/testing/_internal/codegen/__init__.py',
    'torch/testing/_internal/codegen/random_topo_test.py',
    'torch/testing/_internal/common_cuda.py',
    'torch/testing/_internal/common_distributed.py',
    'torch/testing/_internal/common_jit.py',
    'torch/testing/_internal/common_methods_invocations.py',
    'torch/testing/_internal/common_modules.py',
    'torch/testing/_internal/common_nn.py',
    'torch/testing/_internal/common_pruning.py',
    'torch/testing/_internal/common_quantization.py',
    'torch/testing/_internal/common_quantized.py',
    'torch/testing/_internal/common_subclass.py',
    'torch/testing/_internal/common_utils.py',
    'torch/testing/_internal/composite_compliance.py',
    'torch/testing/_internal/hop_db.py',
    'torch/testing/_internal/custom_op_db.py',
    'torch/testing/_internal/data/__init__.py',
    'torch/testing/_internal/data/network1.py',
    'torch/testing/_internal/data/network2.py',
    'torch/testing/_internal/dist_utils.py',
    'torch/testing/_internal/distributed/__init__.py',
    'torch/testing/_internal/distributed/_shard/__init__.py',
    'torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py',
    'torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py',
    'torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py',
    'torch/testing/_internal/distributed/_shard/test_common.py',
    'torch/testing/_internal/distributed/_tensor/__init__.py',
    'torch/testing/_internal/distributed/_tensor/common_dtensor.py',
    'torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py',
    'torch/testing/_internal/distributed/distributed_test.py',
    'torch/testing/_internal/distributed/distributed_utils.py',
    'torch/testing/_internal/distributed/fake_pg.py',
    'torch/testing/_internal/distributed/multi_threaded_pg.py',
    'torch/testing/_internal/distributed/nn/__init__.py',
    'torch/testing/_internal/distributed/nn/api/__init__.py',
    'torch/testing/_internal/distributed/nn/api/remote_module_test.py',
    'torch/testing/_internal/distributed/rpc/__init__.py',
    'torch/testing/_internal/distributed/rpc/dist_autograd_test.py',
    'torch/testing/_internal/distributed/rpc/dist_optimizer_test.py',
    'torch/testing/_internal/distributed/rpc/examples/__init__.py',
    'torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py',
    'torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py',
    'torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py',
    'torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py',
    'torch/testing/_internal/distributed/rpc/jit/__init__.py',
    'torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py',
    'torch/testing/_internal/distributed/rpc/jit/rpc_test.py',
    'torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py',
    'torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py',
    'torch/testing/_internal/distributed/rpc/rpc_test.py',
    'torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py',
    'torch/testing/_internal/distributed/rpc_utils.py',
    'torch/testing/_internal/generated/__init__.py',
    'torch/testing/_internal/hypothesis_utils.py',
    'torch/testing/_internal/inductor_utils.py',
    'torch/testing/_internal/jit_metaprogramming_utils.py',
    'torch/testing/_internal/jit_utils.py',
    'torch/testing/_internal/logging_tensor.py',
    'torch/testing/_internal/logging_utils.py',
    'torch/testing/_internal/optests/__init__.py',
    'torch/testing/_internal/optests/aot_autograd.py',
    'torch/testing/_internal/optests/compile_check.py',
    'torch/testing/_internal/optests/fake_tensor.py',
    'torch/testing/_internal/optests/make_fx.py',
    'torch/testing/_internal/quantization_torch_package_models.py',
    'torch/testing/_internal/test_module/__init__.py',
    'torch/testing/_internal/test_module/future_div.py',
    'torch/testing/_internal/test_module/no_future_div.py',
    'torch/utils/_contextlib.py',
    'torch/utils/_cpp_extension_versioner.py',
    'torch/utils/_crash_handler.py',
    'torch/utils/_device.py',
    'torch/utils/_foreach_utils.py',
    'torch/utils/_freeze.py',
    'torch/utils/_mode_utils.py',
    'torch/utils/_python_dispatch.py',
    'torch/utils/_stats.py',
    'torch/utils/_traceback.py',
    'torch/utils/_zip.py',
    'torch/utils/backcompat/__init__.py',
    'torch/utils/backend_registration.py',
    'torch/utils/benchmark/__init__.py',
    'torch/utils/benchmark/examples/__init__.py',
    'torch/utils/benchmark/examples/blas_compare.py',
    'torch/utils/benchmark/examples/blas_compare_setup.py',
    'torch/utils/benchmark/examples/compare.py',
    'torch/utils/benchmark/examples/end_to_end.py',
    'torch/utils/benchmark/examples/fuzzer.py',
    'torch/utils/benchmark/examples/op_benchmark.py',
    'torch/utils/benchmark/examples/simple_timeit.py',
    'torch/utils/benchmark/examples/sparse/compare.py',
    'torch/utils/benchmark/examples/sparse/fuzzer.py',
    'torch/utils/benchmark/examples/sparse/op_benchmark.py',
    'torch/utils/benchmark/examples/spectral_ops_fuzz_test.py',
    'torch/utils/benchmark/op_fuzzers/__init__.py',
    'torch/utils/benchmark/op_fuzzers/binary.py',
    'torch/utils/benchmark/op_fuzzers/sparse_binary.py',
    'torch/utils/benchmark/op_fuzzers/sparse_unary.py',
    'torch/utils/benchmark/op_fuzzers/spectral.py',
    'torch/utils/benchmark/op_fuzzers/unary.py',
    'torch/utils/benchmark/utils/__init__.py',
    'torch/utils/benchmark/utils/_stubs.py',
    'torch/utils/benchmark/utils/common.py',
    'torch/utils/benchmark/utils/compare.py',
    'torch/utils/benchmark/utils/compile.py',
    'torch/utils/benchmark/utils/cpp_jit.py',
    'torch/utils/benchmark/utils/fuzzer.py',
    'torch/utils/benchmark/utils/sparse_fuzzer.py',
    'torch/utils/benchmark/utils/timer.py',
    'torch/utils/benchmark/utils/valgrind_wrapper/__init__.py',
    'torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py',
    'torch/utils/bottleneck/__init__.py',
    'torch/utils/bottleneck/__main__.py',
    'torch/utils/bundled_inputs.py',
    'torch/utils/checkpoint.py',
    'torch/utils/collect_env.py',
    'torch/utils/cpp_backtrace.py',
    'torch/utils/cpp_extension.py',
    'torch/utils/dlpack.py',
    'torch/utils/file_baton.py',
    'torch/utils/flop_counter.py',
    'torch/utils/hipify/__init__.py',
    'torch/utils/hipify/constants.py',
    'torch/utils/hipify/cuda_to_hip_mappings.py',
    'torch/utils/hipify/hipify_python.py',
    'torch/utils/hipify/version.py',
    'torch/utils/hooks.py',
    'torch/utils/jit/__init__.py',
    'torch/utils/jit/log_extract.py',
    'torch/utils/mkldnn.py',
    'torch/utils/mobile_optimizer.py',
    'torch/utils/model_dump/__init__.py',
    'torch/utils/model_dump/__main__.py',
    'torch/utils/model_zoo.py',
    'torch/utils/show_pickle.py',
    'torch/utils/tensorboard/__init__.py',
    'torch/utils/tensorboard/_caffe2_graph.py',
    'torch/utils/tensorboard/_convert_np.py',
    'torch/utils/tensorboard/_embedding.py',
    'torch/utils/tensorboard/_onnx_graph.py',
    'torch/utils/tensorboard/_proto_graph.py',
    'torch/utils/tensorboard/_pytorch_graph.py',
    'torch/utils/tensorboard/_utils.py',
    'torch/utils/tensorboard/summary.py',
    'torch/utils/tensorboard/writer.py',
    'torch/utils/throughput_benchmark.py',
    'torch/utils/viz/__init__.py',
    'torch/utils/viz/_cycles.py',
    'torch/utils/weak.py',
    'torch/xpu/_gpu_trace.py',
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    '--no-black-binary',
    'black==23.12.1',
    'ufmt==2.7.0',
    'usort==1.0.8.post1',
    'isort==5.13.2',
]
is_formatter = true

[[linter]]
code = 'COPYRIGHT'
include_patterns = ['**']
exclude_patterns = [
    '.lintrunner.toml',
    'fb/**',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=Confidential and proprietary',
    '--linter-name=COPYRIGHT',
    '--error-name=Confidential Code',
    """--error-description=\
        Proprietary and confidential source code\
        should not be contributed to PyTorch codebase\
    """,
    '--',
    '@{{PATHSFILE}}'
]

[[linter]]
code = 'BAZEL_LINTER'
include_patterns = ['WORKSPACE']
command = [
    'python3',
    'tools/linter/adapters/bazel_linter.py',
    '--binary=.lintbin/bazel',
    '--',
    '@{{PATHSFILE}}'
]
init_command = [
    'python3',
    'tools/linter/adapters/s3_init.py',
    '--config-json=tools/linter/adapters/s3_init_config.json',
    '--linter=bazel',
    '--dry-run={{DRYRUN}}',
    '--output-dir=.lintbin',
    '--output-name=bazel',
]
is_formatter = true

[[linter]]
code = 'LINTRUNNER_VERSION'
include_patterns = ['**']
exclude_patterns = [
    'fb/**',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/lintrunner_version_linter.py'
]

[[linter]]
code = 'RUFF'
include_patterns = ['**/*.py', '**/*.pyi']
exclude_patterns = [
    'caffe2/**',
    'functorch/docs/**',
    'functorch/notebooks/**',
    'torch/_inductor/fx_passes/serialized_patterns/**',
    'scripts/**',
    'third_party/**',
    'fb/**',
    '**/fb/**',
]
command = [
    'python3',
    'tools/linter/adapters/ruff_linter.py',
    '--config=pyproject.toml',
    '--show-disable',
    '--',
    '@{{PATHSFILE}}'
]
init_command = [
    'python3',
    'tools/linter/adapters/pip_init.py',
    '--dry-run={{DRYRUN}}',
    'ruff==0.5.2',
]
is_formatter = true

# This linter prevents merge conlicts in csv files in pytorch by enforcing
# three lines of whitespace between entries such that unless people are modifying
# the same line, merge conflicts should not arise in git or hg
[[linter]]
code = 'MERGE_CONFLICTLESS_CSV'
include_patterns = ['benchmarks/dynamo/ci_expected_accuracy/*.csv']
command = [
    'python3',
    'tools/linter/adapters/no_merge_conflict_csv_linter.py',
    '--',
    '@{{PATHSFILE}}'
]
is_formatter = true

[[linter]]
code = 'ATEN_CPU_GPU_AGNOSTIC'
include_patterns = [
    # aten source
    "aten/src/ATen/*.cpp",
    "aten/src/ATen/cpu/*.cpp",
    "aten/src/ATen/functorch/**/*.cpp",
    "aten/src/ATen/nnapi/*.cpp",
    "aten/src/ATen/quantized/*.cpp",
    "aten/src/ATen/vulkan/*.cpp",
    "aten/src/ATen/metal/*.cpp",
    "aten/src/ATen/detail/CPUGuardImpl.cpp",
    "aten/src/ATen/detail/MetaGuardImpl.cpp",
    # aten native source
    "aten/src/ATen/native/cpu/*.cpp",
    "aten/src/ATen/native/ao_sparse/cpu/kernels/*.cpp",
    "aten/src/ATen/native/ao_sparse/quantized/cpu/kernels/*.cpp",
    "aten/src/ATen/native/quantized/cpu/kernels/*.cpp",
    "aten/src/ATen/native/*.cpp",
    "aten/src/ATen/native/cpu/**/*.cpp",
    "aten/src/ATen/native/ao_sparse/*.cpp",
    "aten/src/ATen/native/ao_sparse/**/*.cpp",
    "aten/src/ATen/native/ao_sparse/quantized/*.cpp",
    "aten/src/ATen/native/ao_sparse/quantized/**/*.cpp",
    "aten/src/ATen/native/nested/*.cpp",
    "aten/src/ATen/native/quantized/*.cpp",
    "aten/src/ATen/native/quantized/**/*.cpp",
    "aten/src/ATen/native/sparse/*.cpp",
    "aten/src/ATen/native/transformers/*.cpp",
    "aten/src/ATen/native/utils/*.cpp",
    "aten/src/ATen/native/xnnpack/*.cpp",
    "aten/src/ATen/native/metal/MetalPrepackOpRegister.cpp",
    # aten headers
    "aten/src/ATen/*.h",
    "aten/src/ATen/functorch/**/*.h",
    "aten/src/ATen/ops/*.h",
    "aten/src/ATen/cpu/**/*.h",
    "aten/src/ATen/nnapi/*.h",
    "aten/src/ATen/quantized/*.h",
    "aten/src/ATen/vulkan/*.h",
    "aten/src/ATen/metal/*.h",
    "aten/src/ATen/mps/*.h",
    # aten native headers
    "aten/src/ATen/native/*.h",
    "aten/src/ATen/native/cpu/**/*.h",
    "aten/src/ATen/native/nested/*.h",
    "aten/src/ATen/native/sparse/*.h",
    "aten/src/ATen/native/ao_sparse/*.h",
    "aten/src/ATen/native/ao_sparse/cpu/*.h",
    "aten/src/ATen/native/ao_sparse/quantized/*.h",
    "aten/src/ATen/native/ao_sparse/quantized/cpu/*.h",
    "aten/src/ATen/native/quantized/*.h",
    "aten/src/ATen/native/quantized/cpu/*.h",
    "aten/src/ATen/native/transformers/*.h",
    "aten/src/ATen/native/quantized/cpu/qnnpack/include/*.h",
    "aten/src/ATen/native/utils/*.h",
    "aten/src/ATen/native/vulkan/ops/*.h",
    "aten/src/ATen/native/xnnpack/*.h",
    "aten/src/ATen/native/metal/MetalPrepackOpContext.h",
    "aten/src/ATen/native/mps/Copy.h",
    "aten/src/ATen/native/mkldnn/**/*.h",
]
exclude_patterns = [
    "aten/src/ATen/Context.h",
    "aten/src/ATen/Context.cpp",
    "aten/src/ATen/DLConvertor.cpp",
    "aten/src/ATen/core/Array.h",
    "aten/src/ATen/native/quantized/ConvUtils.h",
    "aten/src/ATen/native/sparse/SparseBlasImpl.cpp",  # triton implementation
    "aten/src/ATen/native/transformers/attention.cpp",
    "aten/src/ATen/native/**/cudnn/**",  # cudnn is cuda specific
]
command = [
    'python3',
    'tools/linter/adapters/grep_linter.py',
    '--pattern=(^#if.*USE_ROCM.*)|(^#if.*USE_CUDA.*)',
    '--linter-name=ATEN_CPU',
    '--error-name=aten-cpu should be gpu agnostic',
    """--error-description=\
        We strongly discourage the compile-time divergence \
        on ATen-CPU code for different GPU code. This \
        disallows sharing the same aten-cpu shared object \
        between different GPU backends \
    """,
    '--',
    '@{{PATHSFILE}}'
]
is_formatter = true