class_docstr: An RNN Decoder abstract interface object.
class_docstr_tok: ["An","RNN","Decoder","abstract","interface","object","."]
docstr: The batch size of the inputs returned by `sample`.
docstr_tok: ["The","batch","size","of","the","inputs","returned","by","`","sample","`","."]
code: def batch_size(self):
      """The batch size of the inputs returned by `sample`."""
      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 1 for calling the Decoder obj's underlying member method code with example usage: obj.batch_size() without return types