GLU

class torch.nn.GLU(dim=- 1)

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.

Parameters:

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:

>>> m = nn.GLU()
>>> input = torch.randn(4, 2)
>>> output = m(input)