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最近复现论文有这么一个结构：
池化之后有一个l2-norm。norm是normalization的缩写。Ok，看看这是啥：
标准化？正规化？归一化？…
<>正确答案
L2归一化：将一组数变成0-1之间。pytorch调用的函数是F.normalize。文档是这样写的：
对于L2来说，p=2，分母就是 ( x 1 2 + x 2 2 + . . . + x n 2 ) \sqrt{( x_1^2 + x_2^2 + ...
+x_n^2)}(x12+x22+...+xn2) ，分子是 x i x_i xi。所以如果有一个tensor长这样：
20.2 20. 2 2 + 30. 3 2 = 0.5547001962252291
\frac{20.2}{\sqrt{20.2^2+30.3^2}}=0.554700196225229120.22+30.32 20.2=0.5547001
962252291
30.3 20. 2 2 + 30. 3 2 = 0.8320502943378437
\frac{30.3}{\sqrt{20.2^2+30.3^2}}=0.832050294337843720.22+30.32 30.3=0.8320502
943378437
40.4 40. 4 2 + 50. 5 2 = 0.6246950475544243
\frac{40.4}{\sqrt{40.4^2+50.5^2}}=0.624695047554424340.42+50.52 40.4=0.6246950
475544243
50.5 40. 4 2 + 50. 5 2 = 0.7808688094430304
\frac{50.5}{\sqrt{40.4^2+50.5^2}}=0.780868809443030440.42+50.52 50.5=0.7808688
094430304
现在我们来验证一下：
嘻嘻，666！
