def METHOD_NAME(self, batch_data, config):
    b = batch_data[0]
    sparse_tensor = b.astype('int64')
    dense_tensor = paddle.to_tensor(b[:, 264].numpy().astype('float32')
                                    .reshape(-1, 1))
    label = sparse_tensor[:, -1].reshape([-1, 1])
    return label, [sparse_tensor, dense_tensor]