mindspore.nn.GLU

class mindspore.nn.GLU(axis=- 1)[source]

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.

Here \(\sigma\) is the sigmoid function, and \(*\) is the Hadamard product.

Parameters: axis (int) – the dimension on which to split the input. Default: -1

Inputs:

x (Tensor) - \((\ast_1, N, \ast_2)\) where * means, any number of additional dimensions.

Outputs:

Tensor, the same dtype as the x, with the shape \((\ast_1, M, \ast_2)\) where \(M=N/2\).

Supported Platforms:

Ascend GPU CPU

Examples

>>> m = nn.GLU()
>>> input = Tensor([[0.1,0.2,0.3,0.4],[0.5,0.6,0.7,0.8]])
>>> output = m(input)
>>> print(output)
[[0.05744425 0.11973753
 [0.33409387 0.41398472]]