class_docstr: Swish Activation function (SiLU with a hyperparameter)
      https://arxiv.org/pdf/1710.05941.pdf
  
  Parameters
  ----------
  beta : float
      swish(x) = x * sigmoid(beta*x)
  
  
  Inputs:
      - **data**: input tensor with arbitrary shape.
  
  Outputs:
      - **out**: output tensor with the same shape as `data`.
code: def __init__(self, beta=1.0, **kwargs):
      super(Swish, self).__init__(**kwargs)
      self._beta = beta
  
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 Swish object from inherited base classes: HybridBlock with example: obj = Swish(beta)