diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index ecb9123c39fb48b41730781c6a35f5ff83cd095a..68be6bd4a56bd52e2a39d8908955ed16c8a4572d 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -219,7 +219,7 @@ class CNN:
         self.test_data_nda = None
         self.test_label_nda = None
 
-        self.n_chans = len(data_params) + 2
+        self.n_chans = len(data_params) + 1
 
         self.X_img = tf.keras.Input(shape=(None, None, self.n_chans))
         # self.X_img = tf.keras.Input(shape=(36, 36, self.n_chans))
@@ -269,7 +269,7 @@ class CNN:
         tmp = input_data[:, label_idx, slc_y_2, slc_x_2]
         tmp = tmp[:, slc_y, slc_x]
         tmp = np.where(np.isnan(tmp), 0, tmp)  # shouldn't need this
-        data_norm.append(tmp)
+        ##data_norm.append(tmp)
         # ---------
         data = np.stack(data_norm, axis=3)
         data = data.astype(np.float32)