Merge pull request #272 from arisliang/master

log total epoch as well to better indicate the training progress.

Author: carpedm20

model.py

@@ -273,8 +273,8 @@ def train(self, config):
           errG = self.g_loss.eval({self.z: batch_z})
 
         counter += 1
-        print("Epoch: [%2d] [%4d/%4d] time: %4.4f, d_loss: %.8f, g_loss: %.8f" \
-          % (epoch, idx, batch_idxs,
+        print("Epoch: [%2d/%2d] [%4d/%4d] time: %4.4f, d_loss: %.8f, g_loss: %.8f" \
+          % (epoch, config.epoch, idx, batch_idxs,
             time.time() - start_time, errD_fake+errD_real, errG))
 
         if np.mod(counter, 100) == 1: