code: def on_trainer_train_teardown(
      self, trainer, progress_tracker, save_path, is_coordinator
  ):
      if is_coordinator:
          if progress_tracker.steps not in self.logged_steps:
              self.logged_steps.add(progress_tracker.steps)
              # Adds a tuple to the logging queue.
              # False is passed to indicate that the background saving loop should break.
              self.save_fn(
                  (
                      progress_tracker.log_metrics(),
                      progress_tracker.steps,
                      save_path,
                      False,
                  )
              )
          # False ensures that the background saving loop breaks.
          # TODO(Justin): This should probably live in on_ludwig_end, once that's implemented.
          self.save_fn((None, None, None, False))
  
          # Close the save_thread.
          if self.save_thread is not None:
              self.save_thread.join()
  
imports: import logging
  import os
  import queue
  import threading
  from ludwig.api_annotations import DeveloperAPI, PublicAPI
  from ludwig.callbacks import Callback
  from ludwig.constants import TRAINER
  from ludwig.globals import MODEL_HYPERPARAMETERS_FILE_NAME, TRAIN_SET_METADATA_FILE_NAME
  from ludwig.types import TrainingSetMetadataDict
  from ludwig.utils.data_utils import chunk_dict, flatten_dict, save_json, to_json_dict
  from ludwig.utils.package_utils import LazyLoader
label_desc: Use image node_id 12 for calling the MlflowCallback obj's underlying member method code with example usage: obj.on_trainer_train_teardown(trainer, progress_tracker, save_path, is_coordinator) without return types