Also creates the parent & intermediate directories.

  Args:
    output_directory: Output directory.
    overwrite: Where to clean the output directory if exists.
  """
  if overwrite and file_io.file_exists_v2(output_directory):
    logging.info(
        'Deleting existing output directory: %s .',
        output_directory,
    )
    file_io.delete_recursively_v2(output_directory)

    dst_path: Destination saved model directory. This directory must exist.
  """
  for assets_dir_name in [_ASSETS_DIR, _ASSETS_EXTRA_DIR]:
    src_assets_path = file_io.join(src_path, assets_dir_name)
    if not file_io.file_exists_v2(src_assets_path):
      # Do nothing if the source assets path does not exist.
      continue

    dst_assets_path = file_io.join(dst_path, assets_dir_name)
    file_io.create_dir_v2(dst_assets_path)

      function.

  Raises:
    FileExistsError: Iff `output_dir` is not empty and `overwrite` is false.
  """
  dir_not_empty = (
      output_dir is not None
      and file_io.file_exists_v2(output_dir)
      and file_io.list_directory_v2(output_dir)
  )

  if dir_not_empty and not overwrite:
    raise FileExistsError(
        f'Output directory already exists: {output_dir} . '

        representative_dataset=representative_dataset,
    )
    self.assertIsNotNone(converted_model)
    # Check if the assets.extra file exists in the output model.
    self.assertTrue(
        file_io.file_exists_v2(
            os.path.join(self._output_saved_model_path, asset_filename)
        )
    )

  # tf.data.Dataset is as an Iterable (thus can be used as representative
  # dataset) only in TF2 (eager mode).