nnf_softplus: Softplus

View source: R/nnf-activation.R

nnf_softplusR Documentation

Softplus

Description

Applies element-wise, the function Softplus(x) = 1/\beta * log(1 + exp(\beta * x)).

Usage

nnf_softplus(input, beta = 1, threshold = 20)

Arguments

input

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

beta

the beta value for the Softplus formulation. Default: 1

threshold

values above this revert to a linear function. Default: 20

Details

For numerical stability the implementation reverts to the linear function when input * \beta > threshold.


torch documentation built on May 29, 2024, 9:54 a.m.