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Applies the hard shrinkage function element-wise:
nn_hardshrink(lambd = 0.5)
the \(\lambda\) value for the Hardshrink formulation. Default: 0.5
Input: \((N, *)\) where * means, any number of additional dimensions
*
Output: \((N, *)\), same shape as the input
$$ \mbox{HardShrink}(x) = \left\{ \begin{array}{ll} x, & \mbox{ if } x > \lambda \\ x, & \mbox{ if } x < -\lambda \\ 0, & \mbox{ otherwise } \end{array} \right. $$
if (torch_is_installed()) { m <- nn_hardshrink() input <- torch_randn(2) output <- m(input) }
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