code: def vgg11_bn(num_classes=1000, pretrained="imagenet"):
      """VGG 11-layer model (configuration "A") with batch normalization"""
      model = models.vgg11_bn(pretrained=False)
      if pretrained is not None:
          settings = pretrained_settings["vgg11_bn"][pretrained]
          model = load_pretrained(model, num_classes, settings)
      model = modify_vggs(model)
      return model
  
imports: from __future__ import print_function, division, absolute_import
  import torchvision.models
  import torch.utils.model_zoo
  import torch.nn.functional
  import types
  import re
label_desc: Use image node_id 22 for calling a global function with example usage: vgg11_bn(num_classes, pretrained) and returns: model