Applies the element-wise function: $$ \mbox{Softplus}(x) = \frac{1}{\beta} * \log(1 + \exp(\beta * x)) $$
Arguments
- beta
the \(\beta\) value for the Softplus formulation. Default: 1
- threshold
values above this revert to a linear function. Default: 20
Details
SoftPlus is a smooth approximation to the ReLU function and can be used to constrain the output of a machine to always be positive. For numerical stability the implementation reverts to the linear function when \(input \times \beta > threshold\).
Shape
Input: \((N, *)\) where
*means, any number of additional dimensionsOutput: \((N, *)\), same shape as the input
Examples
if (torch_is_installed()) {
m <- nn_softplus()
input <- torch_randn(2)
output <- m(input)
}