Restore Bias

The bias term might be useful for actual spatial 2d convs

timm/models/EcaModule.py

@@ -130,7 +130,7 @@ class SpatialGate(nn.Module):
         super(SpatialGate, self).__init__()
         kernel_size = 7
         self.compress = ChannelPool()
-        self.spatial = nn.Conv2d(2, 1, kernel_size, stride=1, padding=(kernel_size-1) // 2, bias=False)
+        self.spatial = nn.Conv2d(2, 1, kernel_size, stride=1, padding=(kernel_size-1) // 2)
     def forward(self, x):
         x_compress = self.compress(x)
         x_out = self.spatial(x_compress)