nn_glu: GLU module

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

GLU module

Description

Applies the gated linear unit function {GLU}(a, b)= a \otimes \sigma(b) where a is the first half of the input matrices and b is the second half.

Usage

nn_glu(dim = -1)

Arguments

dim	(int): the dimension on which to split the input. Default: -1

Shape

• Input: (\ast_1, N, \ast_2) where * means, any number of additional dimensions

• Output: (\ast_1, M, \ast_2) where M=N/2

Examples

if (torch_is_installed()) {
m <- nn_glu()
input <- torch_randn(4, 2)
output <- m(input)
}

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