Sigmoid¶

class Sigmoid(name=None)[源代码]¶

对每个元素应用函数：

\[\text{Sigmoid}(x) = \frac{1}{1 + \exp(-x)}\]

实际案例

import numpy as np
import megengine as mge
import megengine.module as M

data = mge.tensor(np.array([-2,-1,0,1,2,]).astype(np.float32))
sigmoid = M.Sigmoid()
output = sigmoid(data)
with np.printoptions(precision=6):
    print(output.numpy())

输出：

[0.119203 0.268941 0.5      0.731059 0.880797]

Pad

Softmax