code: def __init__(self):
      super(TestMXNet, self).__init__()
  
      self.truth["tensorflow"]["inception_v3"] = [
          (22, 9.6691055),
          (24, 4.3524752),
          (25, 3.5957956),
          (132, 3.5657482),
          (23, 3.3462858),
      ]
      self.truth["keras"]["inception_v3"] = [
          (21, 0.93430501),
          (23, 0.0028834261),
          (131, 0.0014781745),
          (24, 0.0014518937),
          (22, 0.0014435325),
      ]
  
      self.model = self.MainModel.RefactorModel()
      self.model = self.MainModel.deploy_weight(self.model, self.args.w)
  
file_path: MMdnn/mmdnn/conversion/examples/mxnet/imagenet_test.py
imports: from collections import namedtuple
  import numpy
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import mxnet
label_desc: Use image node_id 1 to create a new TestMXNet object from inherited base classes: TestKit with example: obj = TestMXNet()