Python multiprocessing with M1 Mac

2024/4/14 21:14:02

I have a mac (Mac Os 11.1, Python Ver 3.8.2) and need to work in multiprocessing, but the procedures doesn’t work.

import multiprocessingdef func(index: int):print(index)manager = multiprocessing.Manager()
processes = []for i in range(-1, 10):p = multiprocessing.Process(target=func,args=(i,))processes.append(p)p.start()for process in processes:process.join()

However, on my Intel-based Mac, it works fine.

What I expect is


But instead, I got an error:

RuntimeError: An attempt has been made to start a new process before thecurrent process has finished its bootstrapping phase.This probably means that you are not using fork to start yourchild processes and you have forgotten to use the proper idiomin the main module:if __name__ == '__main__':freeze_support()...The "freeze_support()" line can be omitted if the programis not going to be frozen to produce an executable.
Traceback (most recent call last):File "/Users/lance/Documents/Carleton Master Projects/Carleton-Master-Thesis/", line 7, in <module>manager = multiprocessing.Manager()File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/", line 57, in Managerm.start()File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/", line 583, in startself._address = reader.recv()File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/", line 250, in recvbuf = self._recv_bytes()File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/", line 414, in _recv_bytesbuf = self._recv(4)File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/", line 383, in _recvraise EOFError

Is there any similar way (also keep it easy) to parallelize in M1-based Mac?


I'm not sure why this works on an Intel machine, but the problem is all the MP-related code should be inside if __name__ == '__main__':

import multiprocessingdef func(index: int):print(index)if __name__ == '__main__':manager = multiprocessing.Manager()processes = []for i in range(-1, 10):p = multiprocessing.Process(target=func, args=(i,))processes.append(p)p.start()for process in processes:process.join()

Since MP actually starts a new process, the new process needs to import the func function from this module to execute its task. If you don't protect the code that starts new processes, it will be executed during this import.

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