code: def cntk_parse(architecture_name, test_input_path):
      from mmdnn.conversion.examples.cntk.extractor import (
          cntk_extractor,
      )
      from mmdnn.conversion.cntk.cntk_parser import CntkParser
  
      # download model
      architecture_file = cntk_extractor.download(
          architecture_name, TestModels.cachedir
      )
  
      # get original model prediction result
      original_predict = cntk_extractor.inference(
          architecture_name, architecture_file, test_input_path
      )
      del cntk_extractor
  
      # original to IR
      IR_file = (
          TestModels.tmpdir + "cntk_" + architecture_name + "_converted"
      )
      parser = CntkParser(architecture_file)
      parser.run(IR_file)
      del parser
      del CntkParser
      return original_predict
  
imports: from __future__ import absolute_import
  from __future__ import print_function
  import os
  import sys
  import imp
  import numpy
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import utils
  from utils import *
  from datetime import datetime
label_desc: Use image node_id 7 for calling the TestModels obj's underlying member method code with example usage: obj.cntk_parse(architecture_name, test_input_path) and returns: original_predict