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Applies the element-wise function:
nn_hardsigmoid()
Input: \((N, *)\) where * means, any number of additional dimensions
*
Output: \((N, *)\), same shape as the input
$$ \mbox{Hardsigmoid}(x) = \left\{ \begin{array}{ll} 0 & \mbox{if~} x \le -3, \\ 1 & \mbox{if~} x \ge +3, \\ x / 6 + 1 / 2 & \mbox{otherwise} \end{array} \right. $$
if (torch_is_installed()) { m <- nn_hardsigmoid() input <- torch_randn(2) output <- m(input) }
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