code: def paddle_parse(architecture_name, test_input_path):
      from mmdnn.conversion.examples.paddle.extractor import (
          paddle_extractor,
      )
      from mmdnn.conversion.paddle.paddle_parser import PaddleParser
  
      # download model
      model_filename = paddle_extractor.download(
          architecture_name, TestModels.cachedir
      )
  
      # get original model prediction result
      original_predict = paddle_extractor.inference(
          architecture_name,
          model_filename,
          TestModels.cachedir,
          test_input_path,
      )
      del paddle_extractor
  
      # original to IR
      IR_file = (
          TestModels.tmpdir
          + "paddle_"
          + architecture_name
          + "_converted"
      )
  
      parser = PaddleParser(model_filename)
      parser.run(IR_file)
      del parser
      del PaddleParser
      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 9 for calling the TestModels obj's underlying member method code with example usage: obj.paddle_parse(architecture_name, test_input_path) and returns: original_predict