code: def __init__(self, num, prefix="", print_freq=1):
      self.print_freq = print_freq
      self.batch_time = AverageMeter("Time", ":6.3f")
      self.losses = AverageMeter("Loss", ":.4e")
      self.top1 = AverageMeter("Acc@1", ":6.2f")
      self.top5 = AverageMeter("Acc@5", ":6.2f")
      self.progress = ProgressMeter(
          num,
          [self.batch_time, self.losses, self.top1, self.top5],
          prefix=prefix,
      )
      self.end = time.time()
  
imports: import collections
  import torch
  from torch import Tensor
  import torch.nn
  import torch.backends.cudnn
  import subprocess
  import os
  import time
  import shutil
  from datetime import datetime
  import torch.optim
  from torch.optim import lr_scheduler
  import sys
  import models
  import numpy
  import torch.nn
  import math
label_desc: Use image node_id 1 to create a new LossTracker object from inherited base classes: object with example: obj = LossTracker(num, prefix, print_freq)