Fix CI

Author: fchollet

keras/src/models/functional_test.py

@@ -601,7 +601,6 @@ def test_add_loss(self):
         # TODO
         pass
 
-    @pytest.mark.requires_trainable_backend
     def test_layers_setter(self):
         inputs = Input(shape=(3,), batch_size=2, name="input")
         outputs = layers.Dense(5)(inputs)
@@ -611,6 +610,7 @@ def test_layers_setter(self):
         ):
             model.layers = [layers.Dense(4)]
 
+    @pytest.mark.requires_trainable_backend
     def test_dict_input_to_list_model(self):
         vocabulary_size = 100
         num_tags = 10

keras/src/trainers/compile_utils.py

@@ -582,8 +582,8 @@ def build(self, y_true, y_pred):
                     ]
             else:
                 raise ValueError(
-                    f"Expected keys {self.output_names} in loss dict, but found "
-                    f"loss.keys()={list(self._user_loss.keys())}"
+                    f"Expected keys {self.output_names} in loss dict, but "
+                    f"found loss.keys()={list(self._user_loss.keys())}"
                 )
 
         # Pytree leaf container