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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)
}