snapshot...

modules/deeplearning/icing_fcn.py

@@ -1017,12 +1017,12 @@ class IcingIntensityFCN:
         cnn = self.build_cnn()
         print(cnn.shape, self.inputs[1].shape)
         if self.USE_FLIGHT_ALTITUDE:
-            # cnn = tf.keras.layers.concatenate([cnn, self.inputs[1]])
+            cnn = tf.keras.layers.concatenate([cnn, self.inputs[1]])
             # -- experimental
-            cnn_shape = cnn.shape
-            falt = tf.zeros((cnn_shape[0], cnn_shape[1] // 16, cnn_shape[2] // 16, 5))
-            falt[:, :, :, :] = self.inputs[1][:, 0, 0, :]
-            cnn = tf.keras.layers.concatenate([cnn, falt])
+            # cnn_shape = cnn.shape
+            # falt = tf.zeros((cnn_shape[0], cnn_shape[1] // 16, cnn_shape[2] // 16, 5))
+            # falt[:, :, :, :] = self.inputs[1][:, 0, 0, :]
+            # cnn = tf.keras.layers.concatenate([cnn, falt])
             # ------------------------------------------------------------
         self.build_fcl(cnn)
         self.model = tf.keras.Model(self.inputs, self.logits)