我正在使用 papermill 库同时使用多处理运行多个笔记本。
这发生在 Docker 容器内的 Python 3.6.6、Red Hat 4.8.2-15 上。
但是,当我运行 python 脚本时,由于我收到此错误,大约 5% 的笔记本无法立即运行(没有 Jupyter Notebook 单元运行):
Traceback (most recent call last):
File "/opt/conda/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/opt/conda/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/opt/conda/lib/python3.6/site-packages/traitlets/config/application.py", line 657, in launch_instance
app.initialize(argv)
File "<decorator-gen-124>", line 2, in initialize
File "/opt/conda/lib/python3.6/site-packages/traitlets/config/application.py", line 87, in catch_config_error
return method(app, *args, **kwargs)
File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 469, in initialize
self.init_sockets()
File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 238, in init_sockets
self.shell_port = self._bind_socket(self.shell_socket, self.shell_port)
File "/opt/conda/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 180, in _bind_socket
s.bind("tcp://%s:%i" % (self.ip, port))
File "zmq/backend/cython/socket.pyx", line 547, in zmq.backend.cython.socket.Socket.bind
File "zmq/backend/cython/checkrc.pxd", line 25, in zmq.backend.cython.checkrc._check_rc
zmq.error.ZMQError: Address already in use
随着:
Traceback (most recent call last):
File "/opt/conda/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/opt/conda/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "main.py", line 77, in run_papermill
pm.execute_notebook(notebook, output_path, parameters=config)
File "/opt/conda/lib/python3.6/site-packages/papermill/execute.py", line 104, in execute_notebook
**engine_kwargs
File "/opt/conda/lib/python3.6/site-packages/papermill/engines.py", line 49, in execute_notebook_with_engine
return self.get_engine(engine_name).execute_notebook(nb, kernel_name, **kwargs)
File "/opt/conda/lib/python3.6/site-packages/papermill/engines.py", line 304, in execute_notebook
nb = cls.execute_managed_notebook(nb_man, kernel_name, log_output=log_output, **kwargs)
File "/opt/conda/lib/python3.6/site-packages/papermill/engines.py", line 372, in execute_managed_notebook
preprocessor.preprocess(nb_man, safe_kwargs)
File "/opt/conda/lib/python3.6/site-packages/papermill/preprocess.py", line 20, in preprocess
with self.setup_preprocessor(nb_man.nb, resources, km=km):
File "/opt/conda/lib/python3.6/contextlib.py", line 81, in __enter__
return next(self.gen)
File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 345, in setup_preprocessor
self.km, self.kc = self.start_new_kernel(**kwargs)
File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 296, in start_new_kernel
kc.wait_for_ready(timeout=self.startup_timeout)
File "/opt/conda/lib/python3.6/site-packages/jupyter_client/blocking/client.py", line 104, in wait_for_ready
raise RuntimeError('Kernel died before replying to kernel_info')
RuntimeError: Kernel died before replying to kernel_info
请帮我解决这个问题,因为我已经在网上搜索了不同的解决方案,但到目前为止没有一个对我的案例有用。
无论我同时运行的笔记本电脑数量或计算机上的内核数量如何,都会出现 5% 的错误率,这让我更加好奇。
我尝试更改启动方法并更新库,但无济于事。
我的库的版本是:
papermill==1.2.1
ipython==7.14.0
jupyter-client==6.1.3
谢谢!