Hardshrink
class torch.nn.Hardshrink(lambd=0.5)
Applies the Hard Shrinkage (Hardshrink) function element-wise.
Hardshrink is defined as:
  \text{HardShrink}(x) = \begin{cases} x, & \text{ if } x >
  \lambda \\ x, & \text{ if } x < -\lambda \\ 0, & \text{
  otherwise } \end{cases}

Parameters:
      lambd (float) -- the \lambda value for the Hardshrink
      formulation. Default: 0.5
Shape:
      * Input: (*), where * means any number of dimensions.
  * Output: (*), same shape as the input.

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