code: def _save_remote_checkpoint(self):
      if self.rank is not None:
          if self.rank == 0:
              write_filepath = self.tf_callback._write_filepath
              if write_filepath.endswith(
                  ".h5"
              ) or write_filepath.endswith(".keras"):
                  return put_local_file_to_remote(
                      write_filepath,
                      os.path.join(
                          self.original_checkpoint_dir,
                          os.path.basename(write_filepath),
                      ),
                  )
              else:
                  if self.tf_callback.save_weights_only:
                      # copy checkpoint data files
                      ret = put_local_files_with_prefix_to_remote(
                          write_filepath, self.original_checkpoint_dir
                      )
                      if ret == 0:
                          # copy "checkpoint" file
                          return put_local_file_to_remote(
                              os.path.join(
                                  os.path.dirname(write_filepath),
                                  "checkpoint",
                              ),
                              os.path.join(
                                  self.original_checkpoint_dir,
                                  "checkpoint",
                              ),
                          )
                      return ret
  
                  else:
                      return put_local_dir_tree_to_remote(
                          write_filepath,
                          os.path.join(
                              self.original_checkpoint_dir,
                              os.path.basename(write_filepath),
                          ),
                      )
      return 0
  
imports: import os
  import logging
  import shutil
  import tensorflow
  from bigdl.orca.learn.utils import get_replaced_path
  from bigdl.orca.data.file import put_local_files_with_prefix_to_remote, put_local_dir_tree_to_remote, put_local_file_to_remote
label_desc: Use image node_id 5 for calling the ModelCheckpoint obj's underlying member method code with example usage: obj._save_remote_checkpoint() and returns: int, put_local_file_to_remote, ret, put_local_dir_tree_to_remote, put_local_file_to_remote