def __create_input(self, main_root):
		content = self.__manager.load_content()
		input_dir = os.path.join(main_root,'input')
		try:
			content.get(self.__task.data['id'], 'input', os.path.join(main_root, 'input'))
		except:
			safe_mkdir(input_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