code: def macs_to_string(macs, units=None, precision=2):
      if units is None:
          if macs // 10**9 > 0:
              return str(round(macs / 10.0**9, precision)) + " GMACs"
          elif macs // 10**6 > 0:
              return str(round(macs / 10.0**6, precision)) + " MMACs"
          elif macs // 10**3 > 0:
              return str(round(macs / 10.0**3, precision)) + " KMACs"
          else:
              return str(macs) + " MACs"
      else:
          if units == "GMACs":
              return (
                  str(round(macs / 10.0**9, precision)) + " " + units
              )
          elif units == "MMACs":
              return (
                  str(round(macs / 10.0**6, precision)) + " " + units
              )
          elif units == "KMACs":
              return (
                  str(round(macs / 10.0**3, precision)) + " " + units
              )
          else:
              return str(macs) + " MACs"
  
imports: import time
  import torch
  import torch.nn
  import torch.nn.functional
  from functools import partial
  from typing import List, Optional
  from collections import OrderedDict
  import numpy
label_desc: Use image node_id 37 for calling a global function with example usage: macs_to_string(macs, units, precision) and returns: unknown, unknown, unknown, unknown, unknown, unknown, unknown, unknown