mirror of
https://github.com/pytorch/pytorch.git
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754c7e2e88
Related to: https://github.com/pytorch/pytorch/issues/163283 This simply updates the existing pyrefly configuration and opts out additional directories. Running `pyrefly check` with this setup will result in ~100 errors reported. Pull Request resolved: https://github.com/pytorch/pytorch/pull/163775 Approved by: https://github.com/ezyang, https://github.com/Skylion007
151 lines
4.7 KiB
TOML
151 lines
4.7 KiB
TOML
# A Pyrefly configuration for PyTorch
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# Based on https://github.com/pytorch/pytorch/blob/main/mypy.ini
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project-includes = [
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"torch",
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"caffe2",
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"test/test_bundled_images.py",
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"test/test_bundled_inputs.py",
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"test/test_complex.py",
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"test/test_datapipe.py",
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# "test/test_futures.py", # uncomment when enabling pyrefly
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"test/test_numpy_interop.py",
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# We exclude test_torch.py because it is full of errors, but most functions lack type signatures,
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# and mypy.ini specifies `check_untyped_defs = False` for this file.
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# If you check even the unannotated stuff mypy produces 322 errors.
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# "test/test_torch.py",
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"test/test_type_hints.py",
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"test/test_type_info.py",
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# "test/test_utils.py", # uncomment when enabling pyrefly
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]
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project-excludes = [
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# ==== below will be enabled directory by directory ====
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# ==== to test Pyrefly on a specific directory, simply comment it out ====
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"torch/_inductor/**",
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"torch/distributed/**",
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"torch/nn/**",
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"torch/_dynamo/**",
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"torch/utils/**",
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"torch/ao/**",
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"torch/fx/**",
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"torch/distributions/**",
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"torch/onnx/**",
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"torch/_refs/**",
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"torch/_export/**",
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"torch/jit/**",
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"torch/optim/**",
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"torch/_higher_order_ops/**",
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"torch/_functorch/**",
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"torch/masked/**",
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"torch/_subclasses/**",
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"torch/autograd/**",
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"torch/cuda/**",
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"torch/export/**",
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"torch/profiler/**",
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"torch/_prims_common/**",
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"torch/backends/**",
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"torch/testing/**",
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"torch/_C/**",
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"torch/sparse/**",
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"torch/_library/**",
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"torch/_prims/**",
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"torch/_decomp/**",
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"torch/_meta_registrations.py",
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# ====
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"benchmarks/instruction_counts/main.py",
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"benchmarks/instruction_counts/definitions/setup.py",
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"benchmarks/instruction_counts/applications/ci.py",
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"benchmarks/instruction_counts/core/api.py",
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"benchmarks/instruction_counts/core/expand.py",
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"benchmarks/instruction_counts/core/types.py",
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"benchmarks/instruction_counts/core/utils.py",
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"benchmarks/instruction_counts/definitions/standard.py",
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"benchmarks/instruction_counts/definitions/setup.py",
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"benchmarks/instruction_counts/execution/runner.py",
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"benchmarks/instruction_counts/execution/work.py",
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"torch/include/**",
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"torch/csrc/**",
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"torch/distributed/elastic/agent/server/api.py",
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"torch/testing/_internal/**",
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"torch/distributed/fsdp/fully_sharded_data_parallel.py",
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"torch/ao/quantization/pt2e/_affine_quantization.py",
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"torch/nn/modules/pooling.py",
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"torch/nn/parallel/_functions.py",
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"torch/_appdirs.py",
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"torch/multiprocessing/pool.py",
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"torch/overrides.py",
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"*/__pycache__/**",
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"*/.*",
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]
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ignore-missing-imports = [
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"torch._C._jit_tree_views.*",
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"torch.for_onnx.onnx.*",
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"torch.ao.quantization.experimental.apot_utils.*",
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"torch.ao.quantization.experimental.quantizer.*",
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"torch.ao.quantization.experimental.observer.*",
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"torch.ao.quantization.experimental.APoT_tensor.*",
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"torch.ao.quantization.experimental.fake_quantize_function.*",
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"torch.ao.quantization.experimental.fake_quantize.*",
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"triton.*",
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"tensorflow.*",
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"tensorboard.*",
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"matplotlib.*",
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"numpy.*",
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"sympy.*",
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"hypothesis.*",
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"tqdm.*",
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"multiprocessing.*",
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"setuptools.*",
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"distutils.*",
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"nvd3.*",
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"future.utils.*",
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"past.builtins.*",
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"numba.*",
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"PIL.*",
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"moviepy.*",
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"cv2.*",
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"torchvision.*",
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"pycuda.*",
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"tensorrt.*",
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"tornado.*",
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"pydot.*",
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"networkx.*",
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"scipy.*",
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"IPython.*",
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"google.protobuf.textformat.*",
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"lmdb.*",
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"mpi4py.*",
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"skimage.*",
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"librosa.*",
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"mypy.*",
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"xml.*",
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"boto3.*",
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"dill.*",
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"usort.*",
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"cutlass_library.*",
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"deeplearning.*",
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"einops.*",
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"libfb.*",
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"torch.fb.*",
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"torch.*.fb.*",
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"torch_xla.*",
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"onnx.*",
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"onnxruntime.*",
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"onnxscript.*",
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"redis.*",
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]
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# By default, mypy does not check untyped definitions.
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# However, mypy has a configuration called check_untyped_defs which is used
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# to typecheck the interior of untyped functions.
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untyped-def-behavior = "check-and-infer-return-any"
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# In lots of places they define their attributes in `_init` or similar.
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# https://github.com/pytorch/pytorch/blob/75f3e5a88df60caef27fd9c9df3fd51161378fcc/torch/fx/experimental/symbolic_shapes.py#L3632C1-L3633C1
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errors.implicitly-defined-attribute = false
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# In many methods that are overridden, parameters are renamed.
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# We can come up with a codemod for this in the future
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errors.bad-param-name-override = false
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# Mypy doesn't require that imports are explicitly imported, so be compatible with that.
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# Might be a good idea to turn this on in future.
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errors.implicit-import = false
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permissive-ignores = true
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replace-imports-with-any = ["!sympy.printing.*", "sympy.*", "onnxscript.onnx_opset.*"]
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