def __create_action(self, main_root):
		action_dir = os.path.join(main_root, 'action')
		safe_mkdir(action_dir)

		actions = set()
		for unit, param in self.__task.data['workflow'].items():
			actions.add(param['type'])
		self.__action_mgr.create_actions(actions, action_dir)
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