code: def get_weight_norm(self, model):
      with torch.no_grad():
          return (
              sum([param.norm() for param in model.parameters()])
              .cpu()
              .item()
          )
  
imports: import os
  import sys
  import importlib
  import pickle
  import lzma
  import PIL.Image
  import numpy
  import torch
label_desc: Use image node_id 5 for calling the UnitTest obj's underlying member method code with example usage: obj.get_weight_norm(model) and returns: sum