torch.nn.functional.silu
torch.nn.functional.silu(input, inplace=False)
Applies the Sigmoid Linear Unit (SiLU) function, element-wise. The
   SiLU function is also known as the swish function.
  \text{silu}(x) = x * \sigma(x), \text{where } \sigma(x) \text{
  is the logistic sigmoid.}

Note:
 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.

See "SiLU" for more details.
Return type:
      Tensor