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 >>> x = Tensor(np.arange(-5, 5, dtype=np.float32)) >>> y = F.logsigmoid(x) >>> y.numpy().round(decimals=4) array([-5.0067, -4.0182, -3.0486, -2.1269, -1.3133, -0.6931, -0.3133, -0.1269, -0.0486, -0.0181], dtype=float32)
- 返回类型