diff --git a/modules/deeplearning/srcnn.py b/modules/deeplearning/srcnn.py
index e8d2f87c5f5097776bd6ec0b0c69615ecec3ffef..08bc08a27edbed2d538895e29fc20731e3f484f8 100644
--- a/modules/deeplearning/srcnn.py
+++ b/modules/deeplearning/srcnn.py
@@ -217,15 +217,6 @@ class SRCNN:
         data = data.astype(np.float32)
         label = label.astype(np.float32)
 
-        # data_norm = []
-        # for k, param in enumerate(emis_params):
-        #     tmp = normalize(data[:, k, :, :], param, mean_std_dct)
-        #     data_norm.append(tmp)
-        # data = np.stack(data_norm, axis=3)
-        #
-        # if label_param != 'cloud_fraction':
-        #     label = scale(label, label_param, mean_std_dct)
-
         if data_param != 'cloud_fraction':
             data = normalize(data, data_param, mean_std_dct, add_noise=True, noise_scale=0.005)
         if label_param != 'cloud_fraction':