class_docstr: Base class establishing interface for stateful value generation.
  
  A `ValueGenerator` maintains a state, and each time `next` is called, a new
  value is generated and the state is advanced.
class_docstr_tok: ["Base","class","establishing","interface","for","stateful","value","generation",".","A","`","ValueGenerator","`","maintains","a","state",",","and","each","time","`","next","`","is","called",",","a","new","value","is","generated","and","the","state","is","advanced","."]
docstr: Makes an initialized state for the ValueGenerator.
  
  Returns:
    An initial state.
docstr_tok: ["Makes","an","initialized","state","for","the","ValueGenerator",".","Returns",":","An","initial","state","."]
code: def initialize(self):
      """Makes an initialized state for the ValueGenerator.
  
      Returns:
        An initial state.
      """
      raise NotImplementedError
  
imports: import abc
  import collections
  from typing import Any, Callable, Collection, NamedTuple, Optional, Tuple, Union
  import tensorflow
label_desc: Use image node_id 1 for calling the ValueGenerator obj's underlying member method code with example usage: obj.initialize() without return types