Saves calling tf.reduce_mean on all values once.

network.py

@@ -321,12 +321,13 @@ class Network:
         print(time.time() - start)
 
         start = time.time()
+
         # Running data through networks
         all_scores = [self.model.predict_on_batch(board) for board in list_of_moves]
-        transformed_scores = [x if player == 1 else (1-x) for x in all_scores]
-
         scores_means = [tf.reduce_mean(score) for score in all_scores]
-        transformed_means = [tf.reduce_mean(score) for score in transformed_scores]
+
+        transformed_means = [x if player == 1 else (1-x) for x in scores_means]
+
         print(time.time() - start)
         return ([scores_means, transformed_means])