class_docstr: An RNN Decoder abstract interface object.
class_docstr_tok: ["An","RNN","Decoder","abstract","interface","object","."]
docstr: A (possibly nested tuple of...) integer[s] or `TensorShape` object[s].
docstr_tok: ["A","(","possibly","nested","tuple","of","...",")","integer","[","s","]","or","`","TensorShape","`","object","[","s","]","."]
code: def output_size(self):
      """A (possibly nested tuple of...) integer[s] or `TensorShape` object[s]."""
      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 2 for calling the Decoder obj's underlying member method code with example usage: obj.output_size() without return types