snapshot...

modules/deeplearning/cnn_cld_frac.py

@@ -235,7 +235,7 @@ 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))
@@ -282,7 +282,7 @@ class CNN:
         # --------
         tmp = input_data[:, label_idx, y_128, x_128]
         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)