code: def convert_softmax(node, **kwargs):
      
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      axis = int(attrs.get("axis", -1))
  
      softmax_node = onnx.helper.make_node(
          "Softmax",
          input_nodes,
          [name],
          axis=axis,
          name=name
      )
  
      return [softmax_node]
docs: Map MXNet's softmax operator attributes to onnx's Softmax operator
      and return the created node.