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.
Shape
Input: \((\ast_1, N, \ast_2)\) where
*
means, any number of additional dimensionsOutput: \((\ast_1, M, \ast_2)\) where \(M=N/2\)
Examples
if (torch_is_installed()) {
m <- nn_glu()
input <- torch_randn(4, 2)
output <- m(input)
}