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 __init__(self, **kwargs):
      super(SiLU, self).__init__(**kwargs)
  
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 1 to create a new SiLU object from inherited base classes: HybridBlock with example: obj = SiLU()