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)