nn_rrelu: RReLU module

nn_rreluR Documentation

RReLU module

Description

Applies the randomized leaky rectified liner unit function, element-wise, as described in the paper:

Usage

nn_rrelu(lower = 1/8, upper = 1/3, inplace = FALSE)

Arguments

lower

lower bound of the uniform distribution. Default: \frac{1}{8}

upper

upper bound of the uniform distribution. Default: \frac{1}{3}

inplace

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

Details

⁠Empirical Evaluation of Rectified Activations in Convolutional Network⁠.

The function is defined as:

\mbox{RReLU}(x) = \left\{ \begin{array}{ll} x & \mbox{if } x \geq 0 \\ ax & \mbox{ otherwise } \end{array} \right.

where a is randomly sampled from uniform distribution \mathcal{U}(\mbox{lower}, \mbox{upper}). See: https://arxiv.org/pdf/1505.00853.pdf

Shape

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

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

Examples

if (torch_is_installed()) {
m <- nn_rrelu(0.1, 0.3)
input <- torch_randn(2)
m(input)
}

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