code: def convert_expand_dims(node, **kwargs):
      """Map MXNet's expand_dims operator attributes to onnx's Unsqueeze operator
      and return the created node.
      """
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      axis = int(attrs.get("axis"))
      create_tensor([axis], name + "_axis", kwargs["initializer"])
      input_nodes.append(name + "_axis")
      node = onnx.helper.make_node(
          "Unsqueeze",
          input_nodes,
          [name],
          name=name,
      )
      return [node]
  
imports: import re
  import logging
  import numpy
  from .._export_onnx import MXNetGraph
label_desc: Use image node_id 17 for calling a global function with example usage: convert_expand_dims(node) and returns: list