torch (version 0.8.1)

nn_threshold: Threshold module

Description

Thresholds each element of the input Tensor.

Usage

nn_threshold(threshold, value, inplace = FALSE)

Arguments

threshold

The value to threshold at

value

The value to replace with

inplace

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

Shape

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

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

Details

Threshold is defined as: $$ y = \left\{ \begin{array}{ll} x, &\mbox{ if } x > \mbox{threshold} \\ \mbox{value}, &\mbox{ otherwise } \end{array} \right. $$

Examples

if (torch_is_installed()) {
m <- nn_threshold(0.1, 20)
input <- torch_randn(2)
output <- m(input)
}