class_docstr: See Gaussian Error Linear Units (Hendrycks et al., https://arxiv.org/abs/1606.08415) where the SiLU (Sigmoid Linear
  Unit) was originally introduced and coined, and see Sigmoid-Weighted Linear Units for Neural Network Function
  Approximation in Reinforcement Learning (Elfwing et al., https://arxiv.org/abs/1702.03118) and Swish: a Self-Gated
  Activation Function (Ramachandran et al., https://arxiv.org/abs/1710.05941v1) where the SiLU was experimented with
  later.
code: def forward(self, input: Tensor) -> Tensor:
      return nn.functional.silu(input)
  
imports: import math
  from collections import OrderedDict
  import torch
  from packaging import version
  from torch import Tensor, nn
  from .utils import logging
label_desc: Use image node_id 1 for calling the SiLUActivation obj's underlying member method code with example usage: obj.forward(input) and returns: nn