class_docstr: Sigmoid Linear Units
      Originally proposed "Gaussian Error Linear Units (GELUs)", Hendrycks et al, 2016
      https://arxiv.org/abs/1606.08415
  
  Parameters
  ----------
  beta : float
      silu(x) = x * sigmoid(x)
  
  
  Inputs:
      - **data**: input tensor with arbitrary shape.
  
  Outputs:
      - **out**: output tensor with the same shape as `data`.
code: def forward(self, x):
      return x * npx.sigmoid(x)
  
imports: from ...None import initializer, npx
  from ..block import HybridBlock
  from ..parameter import Parameter
  from ...util import use_np
label_desc: Use image node_id 2 for calling the SiLU obj's underlying member method code with example usage: obj.forward(x) and returns: unknown