message: Fix small issue with error message in Functional model construction.
diff: @@ -668,7 +668,7 @@ class Functional(training_lib.Model):
  if len(layer._inbound_nodes) > 1 or (
  layer._inbound_nodes and not layer._inbound_nodes[0].is_input):
  cls_name = self.__class__.__name__
  - logging.warning(cls_name + ' inputs must come from '
  + logging.warning(cls_name + ' model inputs must come from '
  '`tf.keras.Input` (thus holding past layer metadata), '
  'they cannot be the output of '
  'a previous non-Input layer. '
  @@ -697,7 +697,7 @@ class Functional(training_lib.Model):
  for x in self.outputs:
  if not hasattr(x, '_keras_history'):
  cls_name = self.__class__.__name__
  - raise ValueError('Output tensors to a ' + cls_name + ' must be '
  + raise ValueError('Output tensors of a ' + cls_name + ' model must be '
  'the output of a TensorFlow `Layer` '
  '(thus holding past layer metadata). Found: ' + str(x))
  