code: def main(unused_argv):
      keep_running = True
      while keep_running:
          try:
              train()
              keep_running = False  # Training completed successfully.
          except tf.errors.UnavailableError as error:
              logging.warning(
                  "UnavailableError encountered during training: %s.",
                  error,
              )
  
imports: import gc
  import os
  import re
  from typing import Any, Dict, Optional, Tuple
  import warnings
  from absl import app
  from absl import flags
  from absl import logging
  from ml_collections.config_flags import config_flags
  import tensorflow
  import tensorflow_addons
  from deepvariant import data_providers
  from deepvariant import dv_constants
  from deepvariant import dv_utils
  from deepvariant import keras_modeling
  from deepvariant.average_model_checkpoint_patched import AverageModelCheckpointPatched
  from third_party.nucleus.io import sharded_file_utils
  from official.modeling import optimization
label_desc: Use image node_id 6 for calling a global function with example usage: main(unused_argv) without return types