code: def print_log(step, interval, log, timer, time_sum):
      """Print log to logger."""
      logging.info(
          "[GPU %d] step: %d, loss: %.5f, reg: %.4e, speed: %.2f steps/s, time: %.2f s"
          % (
              dist.get_rank(),
              step,
              log["loss"] / interval,
              log["reg"] / interval,
              interval / time_sum,
              time_sum,
          )
      )
      logging.info(
          "sample: %f, forward: %f, backward: %f, update: %f"
          % (
              timer["sample"],
              timer["forward"],
              timer["backward"],
              timer["update"],
          )
      )
  
imports: import os
  import csv
  import math
  import json
  import time
  import random
  import logging
  import functools
  import traceback
  from collections import defaultdict
  from _thread import start_new_thread
  from multiprocessing import Queue, Process
  import numpy
  from tqdm import tqdm
  import paddle
  import paddle.distributed
label_desc: Use image node_id 3 for calling a global function with example usage: print_log(step, interval, log, timer, time_sum) without return types