code: def convert_hardsigmoid(node, **kwargs):
      
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      # Converting to float32
      alpha = float(attrs.get("alpha", 0.2))
      beta = float(attrs.get("beta", 0.5))
  
      node = onnx.helper.make_node(
          'HardSigmoid',
          input_nodes,
          [name],
          alpha=alpha,
          beta=beta,
          name=name
      )
      return [node]
docs: Map MXNet's hard_sigmoid operator attributes to onnx's HardSigmoid operator
      and return the created node.