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Applies the hardswish function, element-wise, as described in the paper: Searching for MobileNetV3

Usage

nn_hardswish()

Details

$$ \mbox{Hardswish}(x) = \left\{ \begin{array}{ll} 0 & \mbox{if } x \le -3, \\ x & \mbox{if } x \ge +3, \\ x \cdot (x + 3)/6 & \mbox{otherwise} \end{array} \right. $$

Shape

  • Input: \((N, *)\) where * means, any number of additional dimensions

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

Examples

if (torch_is_installed()) {
if (FALSE) {
m <- nn_hardswish()
input <- torch_randn(2)
output <- m(input)
}

}