code: def __init__(self):
      super(AlexNet, self).__init__()
  
      self.layers = models.alexnet(True).features
      self.target_layers = [2, 5, 8, 10, 12]
      self.n_channels_list = [64, 192, 384, 256, 256]
  
      self.set_requires_grad(False)
  
imports: from typing import Sequence
  from itertools import chain
  import torch
  import torch.nn
  from torchvision import models
  from .utils import normalize_activation
label_desc: Use image node_id 1 to create a new AlexNet object from inherited base classes: BaseNet with example: obj = AlexNet()