parameters: (self, *outputs)
docstring: This function is used to set :code:`outputs` as RNN's output.
  
          Args:
              *outputs (Variable ...): The output Tensor. DynamicRNN can mark multiple
                  Variables as its output.
  
          Returns:
              None
  
          Raises:
              ValueError: When :code:`output()` is called outside :code:`block()` .
docstring_summary: This function is used to set :code:`outputs` as RNN's output.
docstring_tokens: This function is used to set : code : outputs as RNN s output .
function: def output(self, *outputs):
          """
          This function is used to set :code:`outputs` as RNN's output.
  
          Args:
              *outputs (Variable ...): The output Tensor. DynamicRNN can mark multiple
                  Variables as its output.
  
          Returns:
              None
  
          Raises:
              ValueError: When :code:`output()` is called outside :code:`block()` .
          """
          self._assert_in_rnn_block_('output')
          parent_block = self._parent_block_()
          for each in outputs:
              check_type(each, "outputs", Variable,
                         "fluid.layers.DynamicRNN.output")
              outside_array = parent_block.create_var(
                  name=unique_name.generate_with_ignorable_key("_".join(
                      [self.helper.name, "output_array", each.name])),
                  type=core.VarDesc.VarType.LOD_TENSOR_ARRAY,
                  dtype=each.dtype)
              array_write(x=each, i=self.step_idx, array=outside_array)
              self.output_array.append(outside_array)
function_tokens: def output ( self , * outputs ) : self . _assert_in_rnn_block_ ( 'output' ) parent_block = self . _parent_block_ ( ) for each in outputs : check_type ( each , "outputs" , Variable , "fluid.layers.DynamicRNN.output" ) outside_array = parent_block . create_var ( name = unique_name . generate_with_ignorable_key ( "_" . join ( [ self . helper . name , "output_array" , each . name ] ) ) , type = core . VarDesc . VarType . LOD_TENSOR_ARRAY , dtype = each . dtype ) array_write ( x = each , i = self . step_idx , array = outside_array ) self . output_array . append ( outside_array )