code: def vgg19_bn(pretrained=False, **kwargs):
      """VGG 19-layer model (configuration 'E') 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["E"], batch_norm=True), **kwargs)
      if pretrained:
          model.load_state_dict(
              model_zoo.load_url(model_urls["vgg19_bn"])
          )
      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 9 for calling a global function with example usage: vgg19_bn(pretrained) and returns: model