code: def vgg16_bn(pretrained=False, **kwargs):
      """VGG 16-layer model (configuration "D") with batch normalization
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
      """
      if pretrained:
          kwargs["init_weights"] = False
      model = VGG(make_layers(cfg["D"], batch_norm=True), **kwargs)
      if pretrained:
          # model.load_state_dict(model_zoo.load_url(model_urls['vgg16_bn']))
          model_path = "./initmodel/vgg16_bn.pth"
          model.load_state_dict(torch.load(model_path), strict=False)
      return model
  
file_path: pfe-net/model/vgg.py
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
label_desc: Use image node_id 7 for calling a global function with example usage: vgg16_bn(pretrained) and returns: model