code: def get_mlperf_log():
      """Shielded import of mlperf_log module."""
      try:
          import mlperf_compliance
  
          def test_mlperf_log_pip_version():
              """Check that mlperf_compliance is up to date."""
              import pkg_resources
  
              version = pkg_resources.get_distribution(
                  "mlperf_compliance"
              )
              version = tuple(
                  int(i) for i in version.version.split(".")
              )
              if version < _MIN_VERSION:
                  tf.compat.v1.logging.warning(
                      "mlperf_compliance is version {}, must be >= {}".format(
                          ".".join([str(i) for i in version]),
                          ".".join([str(i) for i in _MIN_VERSION]),
                      )
                  )
                  raise ImportError
              return mlperf_compliance.mlperf_log
  
          mlperf_log = test_mlperf_log_pip_version()
  
      except ImportError:
          mlperf_log = None
  
      return 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 3 for calling a global function with example usage: get_mlperf_log() and returns: mlperf_log, mlperf_compliance