TypeError: cannot pickle '_thread.lock' object

[AndyYue99]

mac os : 10.15.7
python: 3.9.17
paddlepaddle: 2.5.0
paddle-serving-app 0.8.3
paddle-serving-client 0.8.3
paddle-serving-server 0.8.3
安装的是cpu版本的，按照https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/deploy/pdserving/README_CN.md操作，执行到python3 web_service.py --config=config.yml &>log.txt &的时候报下面的错误

[PipelineServicer] succ init
Traceback (most recent call last):
File "/Users/xxxxx/projectPath/PaddleOCR/deploy/pdserving/web_service.py", line 169, in
uci_service.run_service()
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/site-packages/paddle_serving_server/web_service.py", line 69, in run_service
self._server.run_server()
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/site-packages/paddle_serving_server/pipeline/pipeline_server.py", line 318, in run_server
self._run_grpc_gateway(
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/site-packages/paddle_serving_server/pipeline/pipeline_server.py", line 148, in _run_grpc_gateway
self._proxy_server.start()
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/context.py", line 284, in _Popen
return Popen(process_obj)
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/popen_spawn_posix.py", line 32, in init
super().init(process_obj)
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/popen_fork.py", line 19, in init
self._launch(process_obj)
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/popen_spawn_posix.py", line 47, in _launch
reduction.dump(process_obj, fp)
File "/Users/xxxxx/anaconda/envs/myEnv/lib/python3.9/multiprocessing/reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_thread.lock' object

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