GLU

class torch.nn.modules.activation.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)

extra_repr()

Return the extra representation of the module.

Return type

str

forward(input)

Runs the forward pass.

Return type

Tensor