diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index 1a5c8b98d0aae3681b012a5855d5af733a601828..95796539c82330372e49e6edd899dada6c305e68 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -268,16 +268,16 @@ class CNN:
         data_norm = []
         for param in data_params:
             idx = params.index(param)
-            tmp = input_data[:, idx, y_128_2, x_128_2]
+            tmp = input_data[:, idx, y_128, x_128]
             tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
-            tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
+            # tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
             data_norm.append(tmp)
         # --------------------------
         param = 'refl_0_65um_nom'
         idx = params.index(param)
-        tmp = input_data[:, idx, y_128_2, x_128_2]
+        tmp = input_data[:, idx, y_128, x_128]
         tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
-        tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
+        # tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
         data_norm.append(tmp)
         # --------
         tmp = input_data[:, label_idx, y_128, x_128]