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| author | Jordan Gong <jordan.gong@protonmail.com> | 2020-12-27 11:15:51 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2020-12-27 11:15:51 +0800 |
| commit | 81b12f9357ca737599fbc11c732020666ad0873f (patch) | |
| tree | 21beabf4ad44a0098478e143d8032bb42e5e92c0 /models/layers.py | |
| parent | 31b20fbff0786c998c54b8585de759d02f41eda7 (diff) | |
Adopt type hinting generics in standard collections (PEP 585)
Diffstat (limited to 'models/layers.py')
| -rw-r--r-- | models/layers.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/models/layers.py b/models/layers.py index 9b17205..cba6e47 100644 --- a/models/layers.py +++ b/models/layers.py @@ -1,8 +1,8 @@ -from typing import Union, Tuple +from typing import Union import torch -import torch.nn.functional as F import torch.nn as nn +import torch.nn.functional as F class BasicConv2d(nn.Module): @@ -10,7 +10,7 @@ class BasicConv2d(nn.Module): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int, int]], + kernel_size: Union[int, tuple[int, int]], **kwargs ): super().__init__() @@ -29,7 +29,7 @@ class VGGConv2d(BasicConv2d): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int, int]] = 3, + kernel_size: Union[int, tuple[int, int]] = 3, padding: int = 1, **kwargs ): @@ -47,7 +47,7 @@ class BasicConvTranspose2d(nn.Module): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int, int]], + kernel_size: Union[int, tuple[int, int]], **kwargs ): super().__init__() @@ -66,7 +66,7 @@ class DCGANConvTranspose2d(BasicConvTranspose2d): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int, int]] = 4, + kernel_size: Union[int, tuple[int, int]] = 4, stride: int = 2, padding: int = 1, is_last_layer: bool = False, @@ -88,7 +88,7 @@ class FocalConv2d(BasicConv2d): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int, int]], + kernel_size: Union[int, tuple[int, int]], halving: int, **kwargs ): @@ -108,7 +108,7 @@ class BasicConv1d(nn.Module): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int]], + kernel_size: Union[int, tuple[int]], **kwargs ): super(BasicConv1d, self).__init__() @@ -124,7 +124,7 @@ class HorizontalPyramidPooling(BasicConv2d): self, in_channels: int, out_channels: int, - kernel_size: Union[int, Tuple[int, int]] = 1, + kernel_size: Union[int, tuple[int, int]] = 1, use_avg_pool: bool = False, **kwargs ): |