add same input in check network

Author: antoinedemathelin

adapt/feature_based/_deep.py

@@ -1296,7 +1296,7 @@ def get_metrics(self, inputs_ys, inputs_yt,
         disc = 0.25 * K.mean(K.square(subtract([cov_src, cov_tgt])))
 
         metrics["task_s"] = K.mean(task_s)
-        metrics["disc"] = K.mean(disc)
+        metrics["disc"] = self.lambda_ * K.mean(disc)
         if inputs_yt is not None:
             task_t = self.loss_(inputs_yt, task_tgt)
             metrics["task_t"] = K.mean(task_t)

adapt/utils.py

@@ -202,8 +202,7 @@ def check_network(network, copy=True,
     if copy:
         try:
             if hasattr(network, "input_shape"):
-                inputs = Input(network.input_shape[1:])
-                new_network = clone_model(network, input_tensors=inputs)
+                new_network = clone_model(network, input_tensors=network.input)
                 new_network.set_weights(network.get_weights())
             else:
                 new_network = clone_model(network)