code: def __init__(self, batch_size, local_rank, n_gpu, print_freq=20):
      self.batch_size = batch_size
      self.local_rank = local_rank
      self.n_gpu = n_gpu
      self.print_freq = print_freq
  
      self.processed_samples = 0
      self.epochs_times = []
      self.epochs_speeds = []
  
imports: import os
  import sys
  import time
  from argparse import ArgumentParser
  import math
  import numpy
  import time
  import torch
  from torch.optim.lr_scheduler import MultiStepLR
  import torch.utils.data.distributed
  from src.model import model, Loss
  from src.utils import dboxes300_coco, Encoder
  from src.evaluate import evaluate
  from src.train import train_loop, tencent_trick
  from src.data import *
label_desc: Use image node_id 1 to create a new Logger object  with example: obj = Logger(batch_size, local_rank, n_gpu, print_freq)