nn_hardtanh: Hardtanh module

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Hardtanh module

Description

Applies the HardTanh function element-wise HardTanh is defined as:

Usage

nn_hardtanh(min_val = -1, max_val = 1, inplace = FALSE)

Arguments

min_val	minimum value of the linear region range. Default: -1
max_val	maximum value of the linear region range. Default: 1
inplace	can optionally do the operation in-place. Default: FALSE

Details

\mbox{HardTanh}(x) = \left\{ \begin{array}{ll} 1 & \mbox{ if } x > 1 \\ -1 & \mbox{ if } x < -1 \\ x & \mbox{ otherwise } \\ \end{array} \right.

The range of the linear region :math:⁠[-1, 1]⁠ can be adjusted using min_val and max_val.

Shape

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

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

Examples

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

torch documentation built on June 7, 2023, 6:19 p.m.