def METHOD_NAME(keep1, keep2):
    """
    Compare the "keep" result of two nms call.
    They are allowed to be different in terms of edit distance
    due to floating point precision issues, e.g.,
    if a box happen to have an IoU of 0.5 with another box,
    one implentation may choose to keep it while another may discard it.
    """
    keep1, keep2 = keep1.cpu(), keep2.cpu()
    if torch.equal(keep1, keep2):
        # they should be equal most of the time
        return 0
    keep1, keep2 = tuple(keep1), tuple(keep2)
    m, n = len(keep1), len(keep2)
    # edit distance with DP
    f = [np.arange(n + 1), np.arange(n + 1)]
    for i in range(m):
        cur_row = i % 2
        other_row = (i + 1) % 2
        f[other_row][0] = i + 1
        for j in range(n):
            f[other_row][j + 1] = (
                f[cur_row][j]
                if keep1[i] == keep2[j]
                else min(min(f[cur_row][j], f[cur_row][j + 1]), f[other_row][j]) + 1
            )
    return f[m % 2][n]