code: def __init__(self):
      self.json_url = (
          "https://s3.amazonaws.com/deep-learning-models/"
          "image-models/imagenet_class_index.json"
      )
      self.json_path = os.path.join(
          DATA_PATH, "imagenet_class_index.json"
      )
      if os.path.exists(self.json_path):
          self._load_list()
      else:
          import urllib
  
          urllib.request.urlretrieve(self.json_url, self.json_path)
          self._load_list()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import os
  import sys
  import pathlib
  from torch.utils.data.dataset import Subset
  import numpy
  import torch
  import torchvision.transforms
  import torchvision.datasets
  from advertorch.test_utils import LeNet5
label_desc: Use image node_id 2 to create a new ImageNetClassNameLookup object from inherited base classes: object with example: obj = ImageNetClassNameLookup()