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Hardshrink

class torch.nn.Hardshrink(lambd=0.5)[source]

Applies the Hard Shrinkage (Hardshrink) function element-wise.

Hardshrink is defined as:

HardShrink(x)={x, if x>λx, if x<λ0, otherwise \text{HardShrink}(x) = \begin{cases} x, & \text{ if } x > \lambda \\ x, & \text{ if } x < -\lambda \\ 0, & \text{ otherwise } \end{cases}
Parameters

lambd – the λ\lambda value for the Hardshrink formulation. Default: 0.5

Shape:
  • Input: ()(*), where * means any number of dimensions.

  • Output: ()(*), same shape as the input.

../_images/Hardshrink.png

Examples:

>>> m = nn.Hardshrink()
>>> input = torch.randn(2)
>>> output = m(input)

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