nn_rrelu function

RReLU module

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

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:

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)
}