code: def vgg16(batch_norm=False, **kwargs):
      model_name = "vgg16"
      if batch_norm:
          model_name += "_bn"
      return _vgg(model_name, "D", batch_norm, **kwargs)
  
imports: import os
  from typing import Union
  import numpy
  import paddle
  import paddle.nn
  import paddlehub.vision.transforms
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
  import paddle
  from paddle import nn
label_desc: Use image node_id 3 for calling a global function with example usage: vgg16(batch_norm) and returns: _vgg