nn_leaky_relu: LeakyReLU module

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

LeakyReLU module

Description

Applies the element-wise function:

Usage

nn_leaky_relu(negative_slope = 0.01, inplace = FALSE)

Arguments

negative_slope	Controls the angle of the negative slope. Default: 1e-2
inplace	can optionally do the operation in-place. Default: FALSE

Details

\mbox{LeakyReLU}(x) = \max(0, x) + \mbox{negative\_slope} * \min(0, x)

or

\mbox{LeakyRELU}(x) = \left\{ \begin{array}{ll} x, & \mbox{ if } x \geq 0 \\ \mbox{negative\_slope} \times x, & \mbox{ otherwise } \end{array} \right.

Shape

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

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

Examples

if (torch_is_installed()) {
m <- nn_leaky_relu(0.1)
input <- torch_randn(2)
output <- m(input)
}

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