diff --git a/enhancer/models/complexnn/conv.py b/enhancer/models/complexnn/conv.py
index 55acc07..d9a4d0f 100644
--- a/enhancer/models/complexnn/conv.py
+++ b/enhancer/models/complexnn/conv.py
@@ -59,9 +59,10 @@ class ComplexConv2d(nn.Module):
         """
         complex axis should be always 1 dim
         """
-        input = F.pad(input, [self.padding[1], self.padding[1], 0, 0])
+        input = F.pad(input, [self.padding[1], 0, 0, 0])
 
         real, imag = torch.chunk(input, 2, 1)
+
         real_real = self.real_conv(real)
         real_imag = self.imag_conv(real)
 
@@ -72,7 +73,6 @@ class ComplexConv2d(nn.Module):
         imag = real_imag - imag_real
 
         out = torch.cat([real, imag], 1)
-
         return out
 
 
@@ -116,13 +116,12 @@ class ComplexConvTranspose2d(nn.Module):
             groups=self.groups,
         )
 
-        init_weights(self.real_conv)
-        init_weights(self.imag_conv)
+        self.real_conv = init_weights(self.real_conv)
+        self.imag_conv = init_weights(self.imag_conv)
 
     def forward(self, input):
 
         real, imag = torch.chunk(input, 2, 1)
-
         real_real = self.real_conv(real)
         real_imag = self.imag_conv(real)