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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)
}