For truncated BPTT, use built-in detach

For GANs, detach variables of fake images when training discriminator.

tutorials/11 - Deep Convolutional Generative Adversarial Network/main.py

@@ -102,7 +102,7 @@ for epoch in range(50):
         
         noise = Variable(torch.randn(images.size(0), 128))
         fake_images = generator(noise)
-        outputs = discriminator(fake_images) 
+        outputs = discriminator(fake_images.detch()) 
         fake_loss = criterion(outputs, fake_labels)
         fake_score = outputs
         
@@ -131,4 +131,4 @@ for epoch in range(50):
 
 # Save the Models
 torch.save(generator.state_dict(), './generator.pkl')
-torch.save(discriminator.state_dict(), './discriminator.pkl')
+torch.save(discriminator.state_dict(), './discriminator.pkl')