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nn_softshrink

Softshrink module


Description

Applies the soft shrinkage function elementwise:

Usage

nn_softshrink(lambd = 0.5)

Arguments

lambd

the λ (must be no less than zero) value for the Softshrink formulation. Default: 0.5

Details

\mbox{SoftShrinkage}(x) = ≤ft\{ \begin{array}{ll} x - λ, & \mbox{ if } x > λ \\ x + λ, & \mbox{ if } x < -λ \\ 0, & \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()) {
m <- nn_softshrink()
input <- torch_randn(2)
output <- m(input)

}

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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