snapshot..

modules/deeplearning/espcn.py

@@ -614,19 +614,6 @@ class ESPCN:
 
         print('loss, acc: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy())
 
-        # labels = np.concatenate(self.test_labels)
-        # self.test_labels = labels
-        #
-        # preds = np.concatenate(self.test_preds)
-        # self.test_probs = preds
-        #
-        # if NumClasses == 2:
-        #     preds = np.where(preds > 0.5, 1, 0)
-        # else:
-        #     preds = np.argmax(preds, axis=1)
-        #
-        # self.test_preds = preds
-
     def do_evaluate(self, nda_lr, param, ckpt_dir):
 
         ckpt = tf.train.Checkpoint(step=tf.Variable(1), model=self.model)