[architectures] removed unecessary import in DCGAN

bob/learn/pytorch/architectures/ConditionalGAN.py

 #!/usr/bin/env python
 # encoding: utf-8
 
-
 import torch
 import torch.nn as nn
 
-
-
 class ConditionalGAN_generator(nn.Module):
   """ Class implementating the conditional GAN generator
 
@@ -124,7 +121,6 @@ class ConditionalGAN_discriminator(nn.Module):
     
     # input dimension
     ndf = 64
-       
     self.main = nn.Sequential(
       # input is (nc) x 64 x 64
       nn.Conv2d((channels + conditional_dim), ndf, 4, 2, 1, bias=False),

bob/learn/pytorch/architectures/DCGAN.py

@@ -3,7 +3,6 @@
 
 import torch
 import torch.nn as nn
-from .utils import weights_init
 
 
 class DCGAN_generator(nn.Module):