update

trainer.py

@@ -83,7 +83,7 @@ def adversarial(
     args=None
 ):
     source_cnn.eval()
-    target_cnn.train()
+    target_cnn.encoder.train()
     discriminator.train()
 
     losses, d_losses = AverageMeter(), AverageMeter()
@@ -106,19 +106,17 @@ def adversarial(
         # train Discriminator
         D_output_source = discriminator(D_input_source)
         D_output_target = discriminator(D_input_target)
-        d_loss_source = d_criterion(D_output_source, D_target_source)
-        d_loss_target = d_criterion(D_output_target, D_target_target)
-        d_loss = d_loss_source + d_loss_target
+        D_output = torch.cat([D_output_source, D_output_target], dim=0)
+        D_target = torch.cat([D_target_source, D_target_target], dim=0)
+        d_loss = criterion(D_output, D_target)
         d_optimizer.zero_grad()
-        d_loss.backward(retain_graph=True)
+        d_loss.backward()
         d_optimizer.step()
         d_losses.update(d_loss.item(), bs)
 
         # train Target
-        '''
         D_input_target = target_cnn.encoder(target_data)
         D_output_target = discriminator(D_input_target)
-        '''
         loss = criterion(D_output_target, D_target_source)
         optimizer.zero_grad()
         loss.backward()