diff --git a/modules/deeplearning/srcnn_cld_frac.py b/modules/deeplearning/srcnn_cld_frac.py
index d1421dd04ffe7bfa2155a224075cf4a6652f65f5..a62455e35be01b24a15210206f4bff9058ddfdcc 100644
--- a/modules/deeplearning/srcnn_cld_frac.py
+++ b/modules/deeplearning/srcnn_cld_frac.py
@@ -738,11 +738,11 @@ class SRCNN:
         preds = np.concatenate(self.test_preds)
         print(labels.shape, preds.shape)
 
-        if label_param != 'cloud_probability':
-            labels_denorm = denormalize(labels, label_param, mean_std_dct)
-            preds_denorm = denormalize(preds, label_param, mean_std_dct)
+        # if label_param != 'cloud_probability':
+        #     labels_denorm = denormalize(labels, label_param, mean_std_dct)
+        #     preds_denorm = denormalize(preds, label_param, mean_std_dct)
 
-        return labels_denorm, preds_denorm
+        return labels, preds
 
     def do_evaluate(self, data, ckpt_dir):