mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
48fe858fef
Reported issue with formatting and parsing. Removing suppressions and avoiding this file in future type checking until we can get a more complete fix in . Pull Request resolved: https://github.com/pytorch/pytorch/pull/165094 Approved by: https://github.com/albanD
137 lines
4.7 KiB
TOML
137 lines
4.7 KiB
TOML
# A Pyrefly configuration for PyTorch
|
|
# Based on https://github.com/pytorch/pytorch/blob/main/mypy.ini
|
|
project-includes = [
|
|
"torch",
|
|
"caffe2",
|
|
"test/test_bundled_images.py",
|
|
"test/test_bundled_inputs.py",
|
|
"test/test_complex.py",
|
|
"test/test_datapipe.py",
|
|
# "test/test_futures.py", # uncomment when enabling pyrefly
|
|
"test/test_numpy_interop.py",
|
|
# We exclude test_torch.py because it is full of errors, but most functions lack type signatures,
|
|
# and mypy.ini specifies `check_untyped_defs = False` for this file.
|
|
# If you check even the unannotated stuff mypy produces 322 errors.
|
|
# "test/test_torch.py",
|
|
"test/test_type_hints.py",
|
|
"test/test_type_info.py",
|
|
# "test/test_utils.py", # uncomment when enabling pyrefly
|
|
]
|
|
project-excludes = [
|
|
# ==== below will be enabled directory by directory ====
|
|
# ==== to test Pyrefly on a specific directory, simply comment it out ====
|
|
"torch/_inductor/runtime",
|
|
"torch/_inductor/codegen",
|
|
# formatting issues, will turn on after adjusting where suppressions can be
|
|
# in import statements
|
|
"torch/linalg/__init__.py",
|
|
"torch/package/importer.py",
|
|
"torch/package/_package_pickler.py",
|
|
"torch/jit/annotations.py",
|
|
"torch/utils/data/datapipes/_typing.py",
|
|
"torch/nn/functional.py",
|
|
"torch/_export/utils.py",
|
|
"torch/fx/experimental/unification/multipledispatch/__init__.py",
|
|
"torch/nn/modules/__init__.py",
|
|
"torch/nn/modules/rnn.py", # only remove when parsing errors are fixed
|
|
"torch/_inductor/codecache.py",
|
|
"torch/distributed/elastic/metrics/__init__.py",
|
|
# ====
|
|
"benchmarks/instruction_counts/main.py",
|
|
"benchmarks/instruction_counts/definitions/setup.py",
|
|
"benchmarks/instruction_counts/applications/ci.py",
|
|
"benchmarks/instruction_counts/core/api.py",
|
|
"benchmarks/instruction_counts/core/expand.py",
|
|
"benchmarks/instruction_counts/core/types.py",
|
|
"benchmarks/instruction_counts/core/utils.py",
|
|
"benchmarks/instruction_counts/definitions/standard.py",
|
|
"benchmarks/instruction_counts/definitions/setup.py",
|
|
"benchmarks/instruction_counts/execution/runner.py",
|
|
"benchmarks/instruction_counts/execution/work.py",
|
|
"torch/include/**",
|
|
"torch/csrc/**",
|
|
"torch/distributed/elastic/agent/server/api.py",
|
|
"torch/testing/_internal/**",
|
|
"torch/distributed/fsdp/fully_sharded_data_parallel.py",
|
|
"torch/ao/quantization/pt2e/_affine_quantization.py",
|
|
"torch/nn/modules/pooling.py",
|
|
"torch/nn/parallel/_functions.py",
|
|
"torch/_appdirs.py",
|
|
"torch/multiprocessing/pool.py",
|
|
"torch/overrides.py",
|
|
"*/__pycache__/**",
|
|
"*/.*",
|
|
]
|
|
ignore-missing-imports = [
|
|
"torch._C._jit_tree_views.*",
|
|
"torch.for_onnx.onnx.*",
|
|
"torch.ao.quantization.experimental.apot_utils.*",
|
|
"torch.ao.quantization.experimental.quantizer.*",
|
|
"torch.ao.quantization.experimental.observer.*",
|
|
"torch.ao.quantization.experimental.APoT_tensor.*",
|
|
"torch.ao.quantization.experimental.fake_quantize_function.*",
|
|
"torch.ao.quantization.experimental.fake_quantize.*",
|
|
"triton.*",
|
|
"tensorflow.*",
|
|
"tensorboard.*",
|
|
"matplotlib.*",
|
|
"numpy.*",
|
|
"sympy.*",
|
|
"hypothesis.*",
|
|
"tqdm.*",
|
|
"multiprocessing.*",
|
|
"setuptools.*",
|
|
"distutils.*",
|
|
"nvd3.*",
|
|
"future.utils.*",
|
|
"past.builtins.*",
|
|
"numba.*",
|
|
"PIL.*",
|
|
"moviepy.*",
|
|
"cv2.*",
|
|
"torchvision.*",
|
|
"pycuda.*",
|
|
"tensorrt.*",
|
|
"tornado.*",
|
|
"pydot.*",
|
|
"networkx.*",
|
|
"scipy.*",
|
|
"IPython.*",
|
|
"google.protobuf.textformat.*",
|
|
"lmdb.*",
|
|
"mpi4py.*",
|
|
"skimage.*",
|
|
"librosa.*",
|
|
"mypy.*",
|
|
"xml.*",
|
|
"boto3.*",
|
|
"dill.*",
|
|
"usort.*",
|
|
"cutlass_library.*",
|
|
"deeplearning.*",
|
|
"einops.*",
|
|
"libfb.*",
|
|
"torch.fb.*",
|
|
"torch.*.fb.*",
|
|
"torch_xla.*",
|
|
"onnx.*",
|
|
"onnxruntime.*",
|
|
"onnxscript.*",
|
|
"redis.*",
|
|
]
|
|
# By default, mypy does not check untyped definitions.
|
|
# However, mypy has a configuration called check_untyped_defs which is used
|
|
# to typecheck the interior of untyped functions.
|
|
untyped-def-behavior = "check-and-infer-return-any"
|
|
# In lots of places they define their attributes in `_init` or similar.
|
|
# https://github.com/pytorch/pytorch/blob/75f3e5a88df60caef27fd9c9df3fd51161378fcc/torch/fx/experimental/symbolic_shapes.py#L3632C1-L3633C1
|
|
errors.implicitly-defined-attribute = false
|
|
# In many methods that are overridden, parameters are renamed.
|
|
# We can come up with a codemod for this in the future
|
|
errors.bad-param-name-override = false
|
|
# Mypy doesn't require that imports are explicitly imported, so be compatible with that.
|
|
# Might be a good idea to turn this on in future.
|
|
errors.implicit-import = false
|
|
permissive-ignores = true
|
|
replace-imports-with-any = ["!sympy.printing.*", "sympy.*", "onnxscript.onnx_opset.*"]
|