code: def __init__(self, batch_size, rank, size, prefix_dir, frequent):
      self.batch_size = batch_size
      self.rank = rank
      self.size = size
      self.prefix_dir = prefix_dir
      self.frequent = frequent
      self.init = False
      self.tic = 0
      self.last_count = 0
      self.loss_metric_list = MetricNdarray()
      t = time.localtime()
  
      self.summary_writer = SummaryWriter(
          logdir=os.path.join(
              self.prefix_dir,
              "log_tensorboard",
              str(t.tm_mon)
              + "_"
              + str(t.tm_mday)
              + "_"
              + str(t.tm_hour),
          ),
          verbose=False,
      )
      pass
  
imports: import logging
  import os
  import sys
  import time
  import horovod.mxnet
  import mxnet
  from mxboard import SummaryWriter
  from mxnet import nd
  from default import config
  from evaluation import verification
label_desc: Use image node_id 1 to create a new MetricCallBack object from inherited base classes: object with example: obj = MetricCallBack(batch_size, rank, size, prefix_dir, frequent)