docstr: Shutdown estimator and release resources.
docstr_tok: ["Shutdown","estimator","and","release","resources","."]
code: def shutdown(self):
      """
      Shutdown estimator and release resources.
      """
      if self.need_to_log_to_driver:
          stop_log_server(
              self.log_server_thread, self.ip, self.log_port
          )
  
imports: import types
  import torch
  import copy
  import os
  import shutil
  import tempfile
  import logging
  import math
  from pyspark.sql.dataframe import DataFrame
  from bigdl.dllib.utils.file_utils import is_local_path
  from bigdl.orca.learn.pytorch.pytorch_pyspark_worker import PytorchPysparkWorker
  from bigdl.orca.learn.pytorch.utils import process_stats
  from bigdl.orca.learn.utils import maybe_dataframe_to_xshards, dataframe_to_xshards, convert_predict_xshards_to_dataframe, make_data_creator, update_predict_xshards, process_xshards_of_pandas_dataframe, add_predict_to_pd_xshards
  from bigdl.orca.data import SparkXShards
  from bigdl.orca import OrcaContext
  from bigdl.orca.learn.base_estimator import BaseEstimator
  from bigdl.orca.data.file import get_remote_file_to_local, put_local_file_to_remote
  from bigdl.dllib.utils.common import get_node_and_core_number
  from bigdl.orca.learn.log_monitor import start_log_server, stop_log_server
  from bigdl.orca.learn.pytorch.callbacks.maincallback import make_only_mainCallback
  from bigdl.orca.learn.pytorch.callbacks.tqdm import TqdmCallback, is_tqdm_exists
  from bigdl.orca.learn.pytorch.callbacks.maxsteps import MaxstepsCallback
  from bigdl.orca.learn.utils import find_free_port, find_ip_and_free_port
  from bigdl.dllib.utils.utils import get_node_ip
  from bigdl.dllib.utils.log4Error import invalidInputError
  from typing import TYPE_CHECKING, Union, Optional, Callable, Dict, List
  from bigdl.orca.learn.pytorch.callbacks import Callback
label_desc: Use image node_id 16 for calling the PyTorchPySparkEstimator obj's underlying member method code with example usage: obj.shutdown() without return types