text: """Sequential Model.
  
  A model composed of one or more models which are connected sequential,
  according to the insertion order.
  """
  from garage.tf.models.model import Model
  
  
  class Sequential(Model):
      """Sequential Model.
  
      Args:
          name (str): Model name, also the variable scope.
          models (list[garage.tf.models.Model]): The models to be connected
              in sequential order.
  
      """
  
      def __init__(self, *models, name=None):
          super().__init__(name)
          self._models = models
  
      def _build(self, input_var, name=None):
          out = input_var
          for model in self._models:
              out = model.build(out, name=name)
  
          return out
  
      @property
      def input(self):
          """tf.Tensor input of the model by default."""
          return self._models[0].networks['default'].input
  
      @property
      def output(self):
          """tf.Tensor output of the model by default."""
          return self._models[-1].networks['default'].output
  
      @property
      def inputs(self):
          """tf.Tensor inputs of the model by default."""
          return self._models[0].networks['default'].inputs
  
      @property
      def outputs(self):
          """tf.Tensor outputs of the model by default."""
          return self._models[-1].networks['default'].outputs
  