code: def get_weight_norm(model):
      with torch.no_grad():
          return (
              sum([param.norm() for param in model.parameters()])
              .cpu()
              .item()
          )
  
file_path: EasyOCR/unit_test/make_test_solution.py
imports: import os
  import argparse
  import lzma
  import pickle
  from datetime import datetime
  import numpy
  import PIL.Image
  import torch
  import easyocr
label_desc: Use image node_id 2 for calling a global function with example usage: get_weight_norm(model) and returns: sum