diff options
Diffstat (limited to 'models/auto_encoder.py')
| -rw-r--r-- | models/auto_encoder.py | 14 |
1 files changed, 8 insertions, 6 deletions
diff --git a/models/auto_encoder.py b/models/auto_encoder.py index e6a3e60..dbd1da0 100644 --- a/models/auto_encoder.py +++ b/models/auto_encoder.py @@ -1,3 +1,5 @@ +from typing import Tuple + import torch import torch.nn as nn import torch.nn.functional as F @@ -11,9 +13,9 @@ class Encoder(nn.Module): def __init__( self, in_channels: int = 3, - frame_size: tuple[int, int] = (64, 48), + frame_size: Tuple[int, int] = (64, 48), feature_channels: int = 64, - output_dims: tuple[int, int, int] = (128, 128, 64) + output_dims: Tuple[int, int, int] = (128, 128, 64) ): super().__init__() self.feature_channels = feature_channels @@ -74,9 +76,9 @@ class Decoder(nn.Module): def __init__( self, - input_dims: tuple[int, int, int] = (128, 128, 64), + input_dims: Tuple[int, int, int] = (128, 128, 64), feature_channels: int = 64, - feature_size: tuple[int, int] = (4, 3), + feature_size: Tuple[int, int] = (4, 3), out_channels: int = 3, ): super().__init__() @@ -125,9 +127,9 @@ class AutoEncoder(nn.Module): def __init__( self, channels: int = 3, - frame_size: tuple[int, int] = (64, 48), + frame_size: Tuple[int, int] = (64, 48), feature_channels: int = 64, - embedding_dims: tuple[int, int, int] = (128, 128, 64) + embedding_dims: Tuple[int, int, int] = (128, 128, 64) ): super().__init__() self.encoder = Encoder(channels, frame_size, |