code: def main(_):
      logdir = "/tmp/logs"
      if not os.path.exists(logdir):
          os.makedirs(logdir)
      logname = "ncf_strategy_{}_opt_{}_dense_{}".format(
          FLAGS.autodist_strategy, FLAGS.optimizer, FLAGS.dense_gradient
      )
      logging.get_absl_handler().use_absl_log_file(logname, logdir)
      with logger.benchmark_context(FLAGS), mlperf_helper.LOGGER(
          FLAGS.output_ml_perf_compliance_logging
      ):
          mlperf_helper.set_ncf_root(
              os.path.split(os.path.abspath(__file__))[0]
          )
          FLAGS.keras_use_ctl = True
          FLAGS.run_eagerly = False
          FLAGS.eval_batch_size = 1000
          FLAGS.dataset = "ml-20mx16x32"
          FLAGS.train_dataset_path = os.path.join(
              FLAGS.default_data_dir,
              FLAGS.dataset,
              "tfrecord/training_cycle_0/*",
          )
          FLAGS.eval_dataset_path = os.path.join(
              FLAGS.default_data_dir,
              FLAGS.dataset,
              "tfrecord/eval_data/*",
          )
          FLAGS.input_meta_data_path = os.path.join(
              FLAGS.default_data_dir, FLAGS.dataset, "tfrecord/meta"
          )
          run_ncf(FLAGS)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import json
  import yaml
  import os
  import sys
  import tensorflow
  from absl import app
  from absl import flags
  from absl import logging
  from os.path import expanduser
  from tensorflow_addons.optimizers import LazyAdam
  from utils.recommendation import constants
  from utils.recommendation import movielens
  from utils.recommendation import ncf_common
  from utils.recommendation import ncf_input_pipeline
  from utils.recommendation import neumf_model
  from utils.flags import core
  from utils.logs import logger
  from utils.logs import mlperf_helper
  from utils.misc import keras_utils
  from utils.misc import model_helpers
  from autodist import AutoDist
  from autodist.strategy.ps_strategy import PS
  from autodist.strategy.ps_lb_strategy import PSLoadBalancing
  from autodist.strategy.partitioned_ps_strategy import PartitionedPS
  from autodist.strategy.all_reduce_strategy import AllReduce
  from autodist.strategy.parallax_strategy import Parallax
label_desc: Use image node_id 6 for calling a global function with example usage: main(_) without return types