class_docstr: Executor is the object providing efficient symbolic and imperative graph
  execution and optimization.
  
  Examples
  --------
  >>> # typical approach to create an executor is to bind symbol
  >>> a = mx.sym.var('a')
  >>> b = mx.sym.var('b')
  >>> c = 2 * a + b
  >>> texec = c._bind(mx.cpu(), {'a': mx.nd.array([1,2]), 'b':mx.nd.array([2,3])})
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docstr: the auxilary argument array
docstr_tok: ["the","auxilary","argument","array"]
code: def aux_arrays(self):
      """the auxilary argument array"""
      assert isinstance(self._args, list)
      aux_array = []
      for name in self._aux_names:
          index = self._input_names.index(name)
          aux_array.append(self._args[index])
      return aux_array
  
file_path: mxnet/python/mxnet/executor.py
imports: import numpy
  from .None import ndarray
label_desc: Use image node_id 5 for calling the Executor obj's underlying member method code with example usage: obj.aux_arrays() and returns: aux_array