code: def convert_clip(node, **kwargs):
      
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      a_min = np.float(attrs.get('a_min', -np.inf))
      a_max = np.float(attrs.get('a_max', np.inf))
  
      clip_node = onnx.helper.make_node(
          "Clip",
          input_nodes,
          [name],
          name=name,
          min=a_min,
          max=a_max
      )
      return [clip_node]
docs: Map MXNet's Clip operator attributes to onnx's Clip operator
      and return the created node.