def METHOD_NAME(self, batch_data, config):
    batch_size = config.get("runner.data_batch_size")
    max_len = config.get("hyper_parameters._max_position_seq_len")
    src_ids, pos_ids, input_mask, mask_pos, mask_label = batch_data
    src_ids = paddle.to_tensor(src_ids, dtype='int32').squeeze(0)
    pos_ids = paddle.to_tensor(pos_ids, dtype='int32').squeeze(0)
    input_mask = paddle.to_tensor(input_mask, dtype='int32').squeeze(0)
    mask_pos = paddle.to_tensor(mask_pos, dtype='int32').squeeze(0)
    mask_label = paddle.to_tensor(mask_label, dtype='int64').squeeze(0)
    sent_ids = paddle.zeros(shape=[batch_size, max_len], dtype='int32')
    return src_ids, pos_ids, sent_ids, input_mask, mask_pos, mask_label