code: def __init__(self):
      super(TestTorch, self).__init__()
  
      self.truth["tensorflow"]["inception_v3"] = [
          (22, 9.6691055),
          (24, 4.3524747),
          (25, 3.5957973),
          (132, 3.5657473),
          (23, 3.346283),
      ]
      self.truth["keras"]["inception_v3"] = [
          (21, 0.93430489),
          (23, 0.002883445),
          (131, 0.0014781791),
          (24, 0.0014518998),
          (22, 0.0014435351),
      ]
  
      self.model = self.MainModel.KitModel(self.args.w)
      self.model.eval()
  
file_path: MMdnn/mmdnn/conversion/examples/pytorch/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import torch
label_desc: Use image node_id 1 to create a new TestTorch object from inherited base classes: TestKit with example: obj = TestTorch()