code: def get_vgg16_layer(model):
      layer0_idx = range(0, 7)
      layer1_idx = range(7, 14)
      layer2_idx = range(14, 24)
      layer3_idx = range(24, 34)
      layer4_idx = range(34, 43)
      layers_0 = []
      layers_1 = []
      layers_2 = []
      layers_3 = []
      layers_4 = []
      for idx in layer0_idx:
          layers_0 += [model.features[idx]]
      for idx in layer1_idx:
          layers_1 += [model.features[idx]]
      for idx in layer2_idx:
          layers_2 += [model.features[idx]]
      for idx in layer3_idx:
          layers_3 += [model.features[idx]]
      for idx in layer4_idx:
          layers_4 += [model.features[idx]]
      layer0 = nn.Sequential(*layers_0)
      layer1 = nn.Sequential(*layers_1)
      layer2 = nn.Sequential(*layers_2)
      layer3 = nn.Sequential(*layers_3)
      layer4 = nn.Sequential(*layers_4)
      return layer0, layer1, layer2, layer3, layer4
  
file_path: pfe-net/model/PFENet.py
imports: import torch
  from torch import nn
  import torch.nn.functional
  import numpy
  import random
  import time
  import cv2
  import model.resnet
  import model.vgg
label_desc: Use image node_id 2 for calling a global function with example usage: get_vgg16_layer(model) and returns: layer0,  layer1,  layer2,  layer3,  layer4