def __initialize_manager(self):
		self.__config_mgr	= self.__manager.load_config_manager()

		self.__backend_mgr   = self.__manager.load_backend_manager()
		self.__bootstrap_mgr = self.__manager.load_bootstrap_manager()
		self.__navigator_mgr = self.__manager.load_navigator_manager()
		self.__context_mgr  = self.__manager.load_context_manager()
		self.__action_mgr	= self.__manager.load_action_manager()
		self.__launcher_mgr  = self.__manager.load_launcher_manager()
def _apply_mask(y_true, sample_weight, masked_tokens, dtype):
  if sample_weight is None:
    sample_weight = tf.ones_like(y_true, dtype)
  else:
    sample_weight = tf.cast(sample_weight, dtype)
  for token in masked_tokens:
    mask = tf.cast(tf.not_equal(y_true, token), dtype)
    sample_weight = sample_weight * mask
  return sample_weight