class_docstr: The main tfe.Config abstraction.
docstr: When debug is True, '@tf.function' decorator will not be used to build graph,
  which makes developers get info easier with python code.
  At the same time, '@memoize' decorator will not cache intermediate results
  to prevent use too much memory.
code: def debug(self) -> bool:
      """
      When debug is True, '@tf.function' decorator will not be used to build graph,
      which makes developers get info easier with python code.
      At the same time, '@memoize' decorator will not cache intermediate results
      to prevent use too much memory.
      """
      return self.debug_mode
  
imports: import json
  import logging
  import math
  from abc import ABC
  from abc import abstractmethod
  from collections import OrderedDict
  from pathlib import Path
  import tensorflow
  from .player import Player
label_desc: Use image node_id 4 for calling the Config obj's underlying member method code with example usage: obj.debug() and returns: self