code: def detect(self, image_path, path=None):
      self.preprocess(image_path)
      print("Found {} outputs".format(len(self.model)))
      for output in self.model:
          predict = output.eval(
              {output.arguments[0]: [self.data / 255.0]}
          )
          predict.dump("finalconv_{}.npy".format(str(predict.shape[1])))
          print(
              "The output of CNTK model file is saved as [finalconv_{}.npy].".format(
                  str(predict.shape[1])
              )
          )
  
      print(
          "generated by [{}.py], [{}] and [{}].".format(
              self.args.n, self.args.w, image_path
          )
      )
  
file_path: MMdnn/mmdnn/conversion/examples/cntk/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  import cntk
  from mmdnn.conversion.examples.imagenet_test import TestKit
label_desc: Use image node_id 7 for calling the TestCNTK obj's underlying member method code with example usage: obj.detect(image_path, path) without return types