[英]Why does python/ numpy += behave like this with arrays?
import numpy as np
x = np.arange(20)
x = np.reshape(x, (4,5))
dW = np.zeros(x.shape)
dWhy = dW
dW += np.sum(x)
dWhy += x
Why do the two methods results in the same result (dW = dWhy), when为什么这两种方法的结果相同(dW = dWhy),当
dW = dW + np.sum(x)
dWhy = dWhy + x
does not?才不是?
Because dWhy = dW
makes them the same array.因为
dWhy = dW
使它们成为相同的数组。 +=
is not a redefinition (reassignment), it changes the values inplace. +=
不是重新定义(重新分配),它会就地更改值。
dW += np.sum(x) # affects both since they are the same object
dWhy += x # affects both since they are the same object
Unless you redefine (reassign) one of them later.除非您稍后重新定义(重新分配)其中之一。
dW = dW + np.sum(x) # redefines dW
dWhy = dWhy + x # redefines dWhy
Another way to make dW
and dWhy
2 different arrays that can then be changed inplace independently with +=
would be to define dWhy = dW.copy()
at the start.制作
dW
和dWhy
2 个不同的 arrays 然后可以使用+=
独立就地更改的另一种方法是在开始时定义dWhy = dW.copy()
。
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