diff --git a/modules/deeplearning/cloud_opd_srcnn_viirs.py b/modules/deeplearning/cloud_opd_srcnn_viirs.py
index 55344d85b80311f92ab2cfd597e3d711487e9544..220f09a95cc711d9803015e672272b1ae17ef112 100644
--- a/modules/deeplearning/cloud_opd_srcnn_viirs.py
+++ b/modules/deeplearning/cloud_opd_srcnn_viirs.py
@@ -291,8 +291,8 @@ class SRCNN:
         # -----------------------------------------------------
         # -----------------------------------------------------
         label = input_label[:, label_idx_i, :, :]
-        # label = normalize(label, label_param, mean_std_dct)
-        label = scale(label, label_param, mean_std_dct)
+        label = normalize(label, label_param, mean_std_dct)
+        # label = scale(label, label_param, mean_std_dct)
         label = label[:, self.y_128, self.x_128]
 
         label = np.where(np.isnan(label), 0, label)
@@ -620,10 +620,10 @@ class SRCNN:
         preds = np.concatenate(self.test_preds)
         print(labels.shape, preds.shape)
 
-        # labels_denorm = denormalize(labels, label_param, mean_std_dct)
-        # preds_denorm = denormalize(preds, label_param, mean_std_dct)
-        labels_denorm = descale(labels, label_param, mean_std_dct)
-        preds_denorm = descale(preds, label_param, mean_std_dct)
+        labels_denorm = denormalize(labels, label_param, mean_std_dct)
+        preds_denorm = denormalize(preds, label_param, mean_std_dct)
+        # labels_denorm = descale(labels, label_param, mean_std_dct)
+        # preds_denorm = descale(preds, label_param, mean_std_dct)
         print(preds_denorm.min(), preds_denorm.max())
 
         return labels_denorm, preds_denorm
@@ -736,8 +736,8 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     h5f.close()
 
     cld_opd_sres = nn.run_evaluate(data, ckpt_dir)
-    # cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
-    cld_opd_sres = descale(cld_opd_sres, label_param, mean_std_dct)
+    cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
+    # cld_opd_sres = descale(cld_opd_sres, label_param, mean_std_dct)
     _, ylen, xlen, _ = cld_opd_sres.shape
 
     cld_opd_sres_out = np.zeros((LEN_Y, LEN_X), dtype=np.float32)