nn_celu {torch}

CELU module

Description

Applies the element-wise function:

Usage

nn_celu(alpha = 1, inplace = FALSE)

Arguments

alpha

the \alpha value for the CELU formulation. Default: 1.0

inplace

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

Details

\mbox{CELU}(x) = \max(0,x) + \min(0, \alpha * (\exp(x/\alpha) - 1))

More details can be found in the paper Continuously Differentiable Exponential Linear Units.

Shape

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

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

Examples

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