megengine.functional.nn.logsigmoid¶
- logsigmoid(inp)[源代码]¶
对每个元素应用函数：
\[\text{logsigmoid}(x) = \log(\frac{ 1 }{ 1 + \exp(-x)}) = \log(1/(1 + \exp(-x))) = - \log(1 + \exp(-x)) = - \text{softplus}(-x)\]实际案例
import numpy as np from megengine import tensor import megengine.functional as F x = tensor(np.arange(-5, 5, dtype=np.float32)) y = F.logsigmoid(x) print(y.numpy().round(decimals=4))
输出：
[-5.0067 -4.0182 -3.0486 -2.1269 -1.3133 -0.6931 -0.3133 -0.1269 -0.0486 -0.0181]
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