code: def aup_wrapper(config):
      res = main(layer1=config["layer1"], layer2=config["layer2"])
      print_result(res)
  
file_path: auptimizer/Examples/tf_iris_diff_opt/premade_estimator_wrapper.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import tensorflow
  import iris_data
label_desc: Use image node_id 2 for calling a global function with example usage: aup_wrapper(config) without return types