code: def get_cifar10_wrn28_widen_factor(widen_factor):
      from advertorch.utils import PerImageStandardize
  
      model = WideResNet(28, 10, widen_factor)
      model = nn.Sequential(PerImageStandardize(), model)
      return model
  
imports: import math
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling a global function with example usage: get_cifar10_wrn28_widen_factor(widen_factor) and returns: model