class_docstr: MLPerf logger indirection class.
  
  This logger only logs for MLPerf runs, and prevents various errors associated
  with not having the mlperf_compliance package installed.
code: def __init__(self):
      self._enabled = False
      self._mlperf_log = get_mlperf_log()
      self.tags = self.Tags(self._mlperf_log)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from collections import namedtuple
  import json
  import os
  import re
  import subprocess
  import sys
  import typing
  import tensorflow
label_desc: Use image node_id 1 to create a new Logger object from inherited base classes: object with example: obj = Logger()