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add type annotations to torch.nn.modules.fold #49479

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add type annotations to torch.nn.modules.fold #49479

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b8003c1
add type annotations to torch.nn.modules.fold
guilhermeleobas Dec 16, 2020
fc34956
Merge remote-tracking branch 'upstream/master' into fold
guilhermeleobas Jan 8, 2021
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3 changes: 0 additions & 3 deletions mypy.ini
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Expand Up @@ -71,9 +71,6 @@ ignore_errors = True
[mypy-torch.nn.modules.conv]
ignore_errors = True

[mypy-torch.nn.modules.fold]
ignore_errors = True

[mypy-torch.nn.modules.module]
ignore_errors = True

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10 changes: 5 additions & 5 deletions torch/nn/functional.pyi.in
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@@ -1,7 +1,7 @@
from torch import Tensor
from torch.types import _size
from typing import Any, Optional, Tuple, Dict, List, Callable, Sequence, Union
from .common_types import _ratio_any_t, _size_1_t, _size_2_t, _size_3_t
from .common_types import _ratio_any_t, _size_any_t, _size_1_t, _size_2_t, _size_3_t

# 'TypedDict' is a new accepted type that represents a dictionary with a fixed set of allowed keys.
# It is standards-track but not in `typing` yet. We leave this hear to be uncommented once the feature
Expand Down Expand Up @@ -335,12 +335,12 @@ def normalize(input: Tensor, p: float = ..., dim: int = ..., eps: float = ...,
def assert_int_or_pair(arg: Any, arg_name: Any, message: Any) -> None: ...


def unfold(input: Tensor, kernel_size: _size, dilation: _size = ..., padding: _size = ...,
stride: _size = ...) -> Tensor: ...
def unfold(input: Tensor, kernel_size: _size_any_t, dilation: _size_any_t = ..., padding: _size_any_t = ...,
stride: _size_any_t = ...) -> Tensor: ...


def fold(input: Tensor, output_size: _size, kernel_size: _size, dilation: _size = ..., padding: _size = ...,
stride: _size = ...) -> Tensor: ...
def fold(input: Tensor, output_size: _size_any_t, kernel_size: _size_any_t, dilation: _size_any_t = ..., padding: _size_any_t = ...,
stride: _size_any_t = ...) -> Tensor: ...


def multi_head_attention_forward(query: Tensor,
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