Fixed computing the scores

Author: onewhl

model.py

@@ -599,7 +599,7 @@ def predict(self, predict_data_lines):
                 predicted_strings = [[self.index_to_target[sugg] for sugg in timestep]
                                      for timestep in predicted_indices]  # (target_length, top-k)  
                 predicted_strings = list(map(list, zip(*predicted_strings)))  # (top-k, target_length)
-                top_scores = [np.exp(np.sum(s, 0)) for s in top_scores]
+                top_scores = [np.exp(np.sum(s)) for s in zip(*top_scores)]
             else:
                 predicted_strings = [self.index_to_target[idx]
                                      for idx in predicted_indices]  # (batch, target_length)