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nnf_elu

Elu


Description

Applies element-wise,

ELU(x) = max(0,x) + min(0, α * (exp(x) - 1))

.

Usage

nnf_elu(input, alpha = 1, inplace = FALSE)

nnf_elu_(input, alpha = 1)

Arguments

input

(N,*) tensor, where * means, any number of additional dimensions

alpha

the alpha value for the ELU formulation. Default: 1.0

inplace

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

Examples

if (torch_is_installed()) {
x <- torch_randn(2, 2)
y <- nnf_elu(x, alpha = 1)
nnf_elu_(x, alpha = 1)
torch_equal(x, y)

}

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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