Applies the silu function, element-wise.
See Gaussian Error Linear Units (GELUs) where the SiLU (Sigmoid Linear Unit) was originally coined, and see Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning and Swish: a Self-Gated Activation Function where the SiLU was experimented with later.
Input: where * means, any number of additional dimensions
Output: , same shape as the input
>>> m = nn.SiLU() >>> input = torch.randn(2) >>> output = m(input)