Softshrink
class torch.nn.Softshrink(lambd=0.5)
Applies the soft shrinkage function elementwise:
  \text{SoftShrinkage}(x) = \begin{cases} x - \lambda, & \text{ if
  } x > \lambda \\ x + \lambda, & \text{ if } x < -\lambda \\ 0, &
  \text{ otherwise } \end{cases}

Parameters:
      lambd (float) -- the \lambda (must be no less than zero)
      value for the Softshrink formulation. Default: 0.5
Shape:
      * Input: (*), where * means any number of dimensions.
  * Output: (*), same shape as the input.

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