reduce layer

This commit is contained in:
harisreedhar
2025-03-10 22:59:23 +05:30
committed by henryruhs
parent 27440ef023
commit e267f9ffd5
+1 -3
View File
@@ -12,7 +12,7 @@ class MaskNet(nn.Module):
self.config_num_filters = config_parser.getint('training.model.masker', 'num_filters')
self.down_samples = self.create_down_samples(self.config_input_channels, self.config_num_filters)
self.up_samples = self.create_up_samples(self.config_num_filters)
self.bottleneck = BottleNeck(self.config_num_filters * 4)
self.bottleneck = BottleNeck(self.config_num_filters * 2)
self.conv = nn.Conv2d(self.config_num_filters, self.config_output_channels, kernel_size = 1)
self.sigmoid = nn.Sigmoid()
@@ -22,14 +22,12 @@ class MaskNet(nn.Module):
[
DownSample(input_channels, num_filters),
DownSample(num_filters, num_filters * 2),
DownSample(num_filters * 2, num_filters * 4)
])
@staticmethod
def create_up_samples(num_filters : int) -> nn.ModuleList:
return nn.ModuleList(
[
UpSample(num_filters * 4, num_filters * 2),
UpSample(num_filters * 2, num_filters),
UpSample(num_filters, num_filters)
])