class_docstr: An RNN Decoder abstract interface object.
class_docstr_tok: ["An","RNN","Decoder","abstract","interface","object","."]
docstr: Called before any decoding iterations.
  
  Args:
    name: Name scope for any created operations.
  
  Returns:
    `(finished, first_inputs, initial_state)`.
docstr_tok: ["Called","before","any","decoding","iterations",".","Args",":","name",":","Name","scope","for","any","created","operations",".","Returns",":","`","(","finished",",","first_inputs",",","initial_state",")","`","."]
code: def initialize(self, name=None):
      """Called before any decoding iterations.
  
      Args:
        name: Name scope for any created operations.
  
      Returns:
        `(finished, first_inputs, initial_state)`.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import six
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.util import nest
label_desc: Use image node_id 4 for calling the Decoder obj's underlying member method code with example usage: obj.initialize(name) without return types