code: def calculate_global_norm_from_list(norm_list):
      """Compute total from a list of norms"""
      total_norm = 0.0
      for norm in norm_list:
          total_norm += norm**2.0
      return math.sqrt(total_norm)
  
file_path: colossalai/colossalai/zero/low_level/_utils.py
imports: import math
  from typing import Optional
  import torch
  import torch.distributed
  from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
label_desc: Use image node_id 13 for calling a global function with example usage: calculate_global_norm_from_list(norm_list) and returns: math