Rectified Gated Linear Unit (ReGLU) module. Computes the output as \(\text{ReGLU}(x, g) = x \cdot \text{ReLU}(g)\) where \(x\) and \(g\) are created by splitting the input tensor in half along the last dimension.
References
Shazeer N (2020). “GLU Variants Improve Transformer.” 2002.05202, https://arxiv.org/abs/2002.05202.
Examples
x = torch::torch_randn(10, 10)
reglu = nn_reglu()
reglu(x)
#> torch_tensor
#> 0.5048 0.0824 4.3947 -0.4379 -0.0000
#> 0.0000 0.1177 -0.0000 -0.0000 0.8755
#> -0.0000 -0.0000 -0.0000 0.0000 0.5810
#> -0.0000 -0.0000 0.0143 0.0000 0.1846
#> 0.0065 -0.1198 -1.2562 0.0000 2.6531
#> -0.0000 -0.1154 0.0000 -0.0000 0.3259
#> 0.0000 0.0000 -0.0000 0.2414 0.0004
#> -0.6159 0.5157 0.2463 -0.0000 0.0047
#> 0.7439 0.0000 1.1910 0.0000 -0.0000
#> 0.6378 -0.0314 0.0000 0.0000 -2.6684
#> [ CPUFloatType{10,5} ]