mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
0fa99d50bc
Summary: Add number of function prototypes defined in torch/csrs/cuda/Module.cpp to `__init__.pyi.in` Fixes https://github.com/pytorch/pytorch/issues/43442 Pull Request resolved: https://github.com/pytorch/pytorch/pull/43444 Reviewed By: ezyang Differential Revision: D23280221 Pulled By: malfet fbshipit-source-id: 7d67dff7b24c8d7b7e72c919e6e7b847f242ef83
483 lines
8.8 KiB
INI
483 lines
8.8 KiB
INI
# This is the PyTorch MyPy config file (note: don't change this line! -
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# test_run_mypy in test/test_type_hints.py uses this string)
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[mypy]
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warn_unused_configs = True
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warn_redundant_casts = True
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show_error_codes = True
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check_untyped_defs = True
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#
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# Note: test/ still has syntax errors so can't be added
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#
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# Typing tests is low priority, but enabling type checking on the
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# untyped test functions (using `--check-untyped-defs`) is still
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# high-value because it helps test the typing.
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#
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files =
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torch,
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caffe2,
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aten/src/ATen/function_wrapper.py,
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test/test_complex.py,
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test/test_futures.py,
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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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# Minimum version supported - variable annotations were introduced
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# in Python 3.6
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python_version = 3.6
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#
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# Extension modules without stubs.
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#
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[mypy-torch._C._jit_tree_views]
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ignore_missing_imports = True
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[mypy-torch.for_onnx.onnx]
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ignore_missing_imports = True
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#
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# Files with various errors. Mostly real errors, possibly some false
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# positives as well.
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#
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[mypy-test_torch]
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check_untyped_defs = False
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[mypy-torch._torch_docs]
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ignore_errors = True
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[mypy-torch.distributed.*]
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ignore_errors = True
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[mypy-torch.functional.*]
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ignore_errors = True
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[mypy-torch.testing._internal.*]
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ignore_errors = True
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[mypy-torch.quantization.default_mappings]
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ignore_errors = True
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[mypy-torch.quantization.fuse_modules]
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ignore_errors = True
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[mypy-torch.quantization.observer]
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ignore_errors = True
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[mypy-torch.quantization.stubs]
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ignore_errors = True
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[mypy-torch.quantization.fake_quantize]
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ignore_errors = True
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[mypy-torch.quantization.quantize_jit]
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ignore_errors = True
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[mypy-torch.quantization._numeric_suite]
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ignore_errors = True
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[mypy-torch.quantization._quantize_fx]
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ignore_errors = True
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[mypy-torch.quantization.fx.*]
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ignore_errors = True
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[mypy-torch.quasirandom]
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ignore_errors = True
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[mypy-torch.distributions.*]
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ignore_errors = True
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[mypy-torch._classes]
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ignore_errors = True
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[mypy-torch.jit.*]
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ignore_errors = True
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[mypy-torch.tensor]
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ignore_errors = True
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[mypy-torch._tensor_str]
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ignore_errors = True
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[mypy-torch.nn.modules.activation]
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ignore_errors = True
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[mypy-torch.nn.modules.batchnorm]
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ignore_errors = True
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[mypy-torch.nn.modules.container]
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ignore_errors = True
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[mypy-torch.nn.modules.conv]
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ignore_errors = True
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[mypy-torch.nn.modules.fold]
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ignore_errors = True
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[mypy-torch.nn.modules.instancenorm]
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ignore_errors = True
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[mypy-torch.nn.modules.linear]
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ignore_errors = True
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[mypy-torch.nn.modules.loss]
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ignore_errors = True
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[mypy-torch.nn.modules.module]
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ignore_errors = True
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[mypy-torch.nn.modules.normalization]
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ignore_errors = True
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[mypy-torch.nn.modules.padding]
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ignore_errors = True
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[mypy-torch.nn.modules.pooling]
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ignore_errors = True
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[mypy-torch.nn.modules.rnn]
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ignore_errors = True
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[mypy-torch.nn.modules.sparse]
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ignore_errors = True
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[mypy-torch.nn.modules.upsampling]
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ignore_errors = True
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[mypy-torch.nn.parallel._functions]
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ignore_errors = True
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[mypy-torch.nn.parallel.comm]
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ignore_errors = True
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[mypy-torch.nn.quantized.functional]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.activation]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.normalization]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.utils]
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ignore_errors = True
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[mypy-torch.nn.qat.modules.activations]
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ignore_errors = True
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[mypy-torch.nn.qat.modules.conv]
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ignore_errors = True
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[mypy-torch.nn.quantized.dynamic.modules.rnn]
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ignore_errors = True
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[mypy-torch.nn.quantized.dynamic.modules.linear]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.conv]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.functional_modules]
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ignore_errors = True
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[mypy-torch.cuda]
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ignore_errors = True
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[mypy-torch.cuda.amp.*]
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ignore_errors = True
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[mypy-torch.cuda.comm]
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ignore_errors = True
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[mypy-torch.cuda.nccl]
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ignore_errors = True
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[mypy-torch._lobpcg]
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ignore_errors = True
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[mypy-torch._appdirs]
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ignore_errors = True
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[mypy-torch.storage]
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ignore_errors = True
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[mypy-torch._utils]
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ignore_errors = True
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[mypy-torch._overrides]
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ignore_errors = True
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[mypy-torch.utils.bundled_inputs]
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ignore_errors = True
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[mypy-torch.utils.mkldnn]
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ignore_errors = True
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[mypy-torch.utils.mobile_optimizer]
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ignore_errors = True
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[mypy-torch.utils.tensorboard._caffe2_graph]
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ignore_errors = True
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[mypy-torch.contrib._tensorboard_vis]
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ignore_errors = True
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[mypy-torch.utils.data._utils.worker]
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ignore_errors = True
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[mypy-torch.nn.utils.prune]
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ignore_errors = True
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[mypy-torch.nn.utils.memory_format]
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ignore_errors = True
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[mypy-torch.nn.cpp]
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ignore_errors = True
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[mypy-torch.utils.show_pickle]
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ignore_errors = True
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[mypy-torch.utils.hipify.hipify_python]
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ignore_errors = True
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[mypy-torch.autograd]
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ignore_errors = True
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[mypy-torch.autograd._functions.tensor]
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ignore_errors = True
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[mypy-torch.autograd.function]
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ignore_errors = True
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[mypy-torch.autograd.functional]
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ignore_errors = True
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[mypy-torch.autograd.profiler]
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ignore_errors = True
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[mypy-torch.autograd.gradcheck]
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ignore_errors = True
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[mypy-torch.autograd.anomaly_mode]
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ignore_errors = True
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[mypy-torch.autograd.variable]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.batchnorm]
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ignore_errors = True
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[mypy-torch.nn.quantized.modules.linear]
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ignore_errors = True
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[mypy-torch.nn.intrinsic.quantized.modules.conv_relu]
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ignore_errors = True
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[mypy-torch.nn.intrinsic.quantized.modules.bn_relu]
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ignore_errors = True
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[mypy-torch.nn.intrinsic.quantized.modules.linear_relu]
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ignore_errors = True
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[mypy-torch.nn.intrinsic.qat.modules.conv_fused]
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ignore_errors = True
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[mypy-torch.onnx.operators]
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ignore_errors = True
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[mypy-torch.onnx.symbolic_opset8]
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ignore_errors = True
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[mypy-torch.onnx.symbolic_opset9]
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ignore_errors = True
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[mypy-torch.onnx.symbolic_opset11]
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ignore_errors = True
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[mypy-torch.onnx.symbolic_caffe2]
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ignore_errors = True
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[mypy-torch.onnx.symbolic_helper]
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ignore_errors = True
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[mypy-torch.onnx.symbolic_registry]
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ignore_errors = True
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[mypy-torch.onnx.utils]
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ignore_errors = True
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[mypy-torch.multiprocessing]
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ignore_errors = True
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[mypy-torch.multiprocessing.reductions]
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ignore_errors = True
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[mypy-torch.multiprocessing.queue]
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ignore_errors = True
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[mypy-torch.multiprocessing.pool]
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ignore_errors = True
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[mypy-torch.multiprocessing.spawn]
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ignore_errors = True
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[mypy-torch.backends.cuda]
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ignore_errors = True
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[mypy-torch.backends.quantized]
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ignore_errors = True
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[mypy-torch.overrides]
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ignore_errors = True
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[mypy-caffe2.python.*]
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ignore_errors = True
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[mypy-caffe2.proto.*]
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ignore_errors = True
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[mypy-caffe2.core.nomnigraph.op_gen]
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ignore_errors = True
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[mypy-caffe2.contrib.playground.*]
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ignore_errors = True
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[mypy-caffe2.contrib.gloo.gloo_test]
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ignore_errors = True
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[mypy-caffe2.contrib.warpctc.ctc_ops_test]
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ignore_errors = True
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[mypy-caffe2.contrib.prof.cuda_profile_ops_test]
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ignore_errors = True
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[mypy-caffe2.contrib.nccl.nccl_ops_test]
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ignore_errors = True
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[mypy-caffe2.distributed.store_ops_test_util]
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ignore_errors = True
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[mypy-caffe2.experiments.python.device_reduce_sum_bench]
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ignore_errors = True
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[mypy-caffe2.experiments.python.SparseTransformer]
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ignore_errors = True
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[mypy-caffe2.experiments.python.convnet_benchmarks]
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ignore_errors = True
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[mypy-caffe2.contrib.aten.docs.sample]
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ignore_errors = True
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[mypy-caffe2.contrib.tensorboard.tensorboard_exporter]
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ignore_errors = True
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[mypy-caffe2.contrib.tensorboard.tensorboard_exporter_test]
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ignore_errors = True
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[mypy-caffe2.quantization.server.*]
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ignore_errors = True
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#
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# Third party dependencies that don't have types.
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#
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[mypy-tensorflow.*]
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ignore_missing_imports = True
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[mypy-tensorboard.*]
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ignore_missing_imports = True
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[mypy-onnx.*]
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ignore_missing_imports = True
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[mypy-matplotlib.*]
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ignore_missing_imports = True
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[mypy-numpy.*]
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ignore_missing_imports = True
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[mypy-hypothesis.*]
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ignore_missing_imports = True
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[mypy-tqdm.*]
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ignore_missing_imports = True
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[mypy-multiprocessing.*]
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ignore_missing_imports = True
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[mypy-setuptools.*]
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ignore_missing_imports = True
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[mypy-distutils.*]
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ignore_missing_imports = True
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[mypy-nvd3.*]
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ignore_missing_imports = True
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[mypy-future.utils]
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ignore_missing_imports = True
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[mypy-past.builtins]
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ignore_missing_imports = True
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[mypy-numba.*]
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ignore_missing_imports = True
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[mypy-PIL.*]
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ignore_missing_imports = True
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[mypy-moviepy.*]
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ignore_missing_imports = True
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[mypy-cv2.*]
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ignore_missing_imports = True
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[mypy-torchvision.*]
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ignore_missing_imports = True
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[mypy-pycuda.*]
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ignore_missing_imports = True
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[mypy-tensorrt.*]
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ignore_missing_imports = True
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[mypy-tornado.*]
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ignore_missing_imports = True
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[mypy-pydot.*]
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ignore_missing_imports = True
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[mypy-networkx.*]
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ignore_missing_imports = True
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[mypy-scipy.*]
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ignore_missing_imports = True
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[mypy-IPython.*]
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ignore_missing_imports = True
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[mypy-google.protobuf.textformat]
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ignore_missing_imports = True
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[mypy-lmdb.*]
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ignore_missing_imports = True
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[mypy-mpi4py.*]
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ignore_missing_imports = True
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[mypy-skimage.*]
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ignore_missing_imports = True
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[mypy-librosa.*]
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ignore_missing_imports = True
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