    def create_token_type_ids_from_sequences(self,
                                             token_ids_0,
                                             token_ids_1=None):
        """
        Create a mask from the two sequences passed to be used in a sequence-pair classification task.

        Should be overridden in a subclass if the model has a special way of building those.


        If `token_ids_1` is `None`, this method only returns the first portion of the mask (0s).

        Args:
            token_ids_0 (List[int]):
                List of IDs.
            token_ids_1 (List[int], optional):
                Optional second list of IDs for sequence pairs.

        Returns:
            List[int]: List of token_type_id according to the given sequence(s).
        """
        if token_ids_1 is None:
            return len(token_ids_0) * [0]
        return [0] * len(token_ids_0) + [1] * len(token_ids_1)
Create a mask from the two sequences passed to be used in a sequence-pair classification task.

Should be overridden in a subclass if the model has a special way of building those.


If `token_ids_1` is `None`, this method only returns the first portion of the mask (0s).

Args:
token_ids_0 (List[int]):
List of IDs.
token_ids_1 (List[int], optional):
Optional second list of IDs for sequence pairs.

Returns:
List[int]: List of token_type_id according to the given sequence(s).
ptstructure/vqa/pytorchnlp/transformers/tokenizer_utils.py