code: def __init__(self):
      super(VGG16, self).__init__()
  
      self.layers = models.vgg16(
          weights=models.VGG16_Weights.IMAGENET1K_V1
      ).features
      self.target_layers = [4, 9, 16, 23, 30]
      self.n_channels_list = [64, 128, 256, 512, 512]
  
      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 VGG16 object from inherited base classes: BaseNet with example: obj = VGG16()