Update dcgan_faces_tutorial.py

Author: samarth4149

beginner_source/dcgan_faces_tutorial.py

@@ -610,10 +610,7 @@ def forward(self, input):
         output = netD(fake.detach()).view(-1)
         # Calculate D's loss on the all-fake batch
         errD_fake = criterion(output, label)
-        # Calculate the gradients for this batch
-        # Without a zero_grad() call, this accumulates (sums) 
-        #   the gradients from this call with the previously computed
-        #   gradients from errD_real 
+        # Calculate the gradients for this batch, accumulated (summed) with previous gradients
         errD_fake.backward()
         D_G_z1 = output.mean().item()
         # Compute error of D as sum over the fake and the real batches