code: def profile_context():
      if FLAGS.profile:
          with contrib.tfprof().ProfileContext(
              "t2tprof", trace_steps=range(100), dump_steps=range(100)
          ) as pctx:
              opts = tf.profiler.ProfileOptionBuilder.time_and_memory()
              pctx.add_auto_profiling("op", opts, range(100))
              yield
      else:
          yield
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import contextlib
  import os
  import sys
  from tensor2tensor import models
  from tensor2tensor import problems
  from tensor2tensor.data_generators import problem
  from tensor2tensor.utils import cloud_mlengine
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import decoding
  from tensor2tensor.utils import flags
  from tensor2tensor.utils import hparams_lib
  from tensor2tensor.utils import mlperf_log
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import trainer_lib
  from tensor2tensor.utils import usr_dir
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 6 for calling a global function with example usage: profile_context() without return types