code: def vgg(model_name="vgg16", **kwargs):
      assert (
          model_name in cfgs
      ), "Warning: model number {} not in cfgs dict!".format(model_name)
      cfg = cfgs[model_name]
  
      model = VGG(make_features(cfg), **kwargs)
      return model
  
file_path: deep-learning-for-image-processing/pytorch_classification/Test3_vggnet/model.py
imports: import torch.nn
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: vgg(model_name) and returns: model