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nn_relu6

ReLu6 module


Description

Applies the element-wise function:

Usage

nn_relu6(inplace = FALSE)

Arguments

inplace

can optionally do the operation in-place. Default: FALSE

Details

\mbox{ReLU6}(x) = \min(\max(0,x), 6)

Shape

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

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

Examples

if (torch_is_installed()) {
m <- nn_relu6()
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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