LogSigmoid
class torch.nn.LogSigmoid
Applies the element-wise function:
  \text{LogSigmoid}(x) = \log\left(\frac{ 1 }{ 1 +
  \exp(-x)}\right)

Shape:
      * Input: (*), where * means any number of dimensions.
  * Output: (*), same shape as the input.

[image]
Examples:
  >>> m = nn.LogSigmoid()
  >>> input = torch.randn(2)
  >>> output = m(input)
