code: def __init__(self):
      super(TestCNTK, self).__init__()
  
      self.truth["mxnet"]["inception_bn"] = [
          (21, 0.84820729),
          (144, 0.06263639),
          (677, 0.015408826),
          (973, 0.014532777),
          (562, 0.0053690737),
      ]
  
      self.truth["keras"]["resnet"] = [
          (144, 0.77398175),
          (23, 0.10650793),
          (21, 0.081077583),
          (146, 0.0092755388),
          (562, 0.0089645367),
      ]
      self.truth["tensorflow"]["resnet"] = [
          (22, 13.370872),
          (147, 8.8040094),
          (24, 5.6983061),
          (90, 5.6143088),
          (95, 4.8060427),
      ]
  
      self.model = self.MainModel.KitModel(self.args.w)
  
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 1 to create a new TestCNTK object from inherited base classes: TestKit with example: obj = TestCNTK()