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torch.nn.functional.glu

torch.nn.functional.glu(input, dim=- 1) → Tensor [source]

The gated linear unit. Computes:

GLU(a,b)=a⊗σ(b)\text{GLU}(a, b) = a \otimes \sigma(b)

where input is split in half along dim to form a and b, σ\sigma is the sigmoid function and ⊗\otimes is the element-wise product between matrices.

See Language Modeling with Gated Convolutional Networks.

Parameters:
  • input (Tensor) – input tensor
  • dim (int) – dimension on which to split the input. Default: -1
Return type:

Tensor

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PyTorch has a BSD-style license, as found in the LICENSE file.
https://pytorch.org/docs/1.13/generated/torch.nn.functional.glu.html

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