similarities.py 文件源码

def negative_l2_distance(x1, x2, axis=1):
    """
    Negative L2 Distance.

    .. math:: L = - \\sqrt{\\sum_i (x1_i - x2_i)^2}

    Args:
        x1: First term.
        x2: Second term.
        axis: Reduction Indices.

    Returns:
        Similarity Value.
    """

    distance = tf.sqrt(tf.reduce_sum(tf.square(x1 - x2), axis=axis))
    return - distance