def compute_all_stream_relative_buckets(num_buckets, max_distance, position_ids):
    """
    This function computes both main and predict relative position buckets. For more detail, see paper.
    """
    # main stream
    main_stream_relative_positions = position_ids.unsqueeze(1).repeat(1, position_ids.size(-1), 1)
    main_stream_relative_positions = main_stream_relative_positions - position_ids.unsqueeze(-1)

    # predicting stream
    predicting_stream_relative_positions = torch.cat((position_ids - 1, position_ids), dim=-1).unsqueeze(1)
    predicting_stream_relative_positions = predicting_stream_relative_positions.repeat(1, position_ids.size(-1), 1)
    predicting_stream_relative_positions = predicting_stream_relative_positions - position_ids.unsqueeze(-1)

    # get both position buckets
    main_relative_position_buckets = compute_relative_buckets(
        num_buckets, max_distance, main_stream_relative_positions, is_bidirectional=False
    )
    predict_relative_position_buckets = compute_relative_buckets(
        num_buckets, max_distance, predicting_stream_relative_positions, is_bidirectional=False
    )
    return main_relative_position_buckets, predict_relative_position_buckets

    This function computes both main and predict relative position buckets. For more detail, see paper.
    
dpkd/transformers/src/transformers/models/prophetnet/modeling_prophetnet.py