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  • 吴裕雄--天生自然TensorFlow2教程:Broadcasting

    Broadcasting可以理解成把维度分成大维度和小维度,小维度较为具体,大维度更加抽象。也就是小维度针对某个示例,然后让这个示例通用语大维度。

    import tensorflow as tf
    
    x = tf.random.normal([4,32,32,3])
    x.shape
    (x+tf.random.normal([3])).shape
    (x+tf.random.normal([32,32,1])).shape
    (x+tf.random.normal([4,1,1,1])).shape
    try:
        (x+tf.random.normal([1,4,1,1])).shape
    except Exception as e:
        print(e)
    (x+tf.random.normal([4,1,1,1])).shape
    b = tf.broadcast_to(tf.random.normal([4,1,1,1]),[4,32,32,3])
    b.shape
    a = tf.ones([3,4])
    a.shape
    a1 = tf.broadcast_to(a,[2,3,4])
    a1.shape
    a2 = tf.expand_dims(a,axis=0)  # 0前插入一维
    a2.shape
    a2 = tf.tile(a2,[2,1,1])  # 复制一维2次,复制二、三维1次
    a2.shape
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  • 原文地址:https://www.cnblogs.com/tszr/p/12123928.html
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