Reputation: 7014
multiprocessing.Pool
uses pickle
to pass initargs
to child processes.However I find the following stange:
value = multiprocessing.Value('i', 1)
multiprocess.Pool(initializer=worker, initargs=(value, )) # Works
But this does not work:
pickle.dumps(value)
throwing:
RuntimeError: Synchronized objects should only be shared between processes through inheritance
Why is that, and how multiprocessing initargs
can bypass that, as it's using pickle as well?
multiprocessing.Value
is using shared memory behind the scenes, what is the difference between inheritance or passing it via initargs? Specifically speaking on Windows, where the code does not fork, so a new instance of multiprocessing.Value
is created.Upvotes: 1
Views: 499
Reputation: 44148
And if you had instead passed an instance of multiprocessing.Lock(), the error message would have been RuntimeError: Lock objects should only be shared between processes through inheritance. These things can be passed as arguments if you are creating an instance of multiprocessing.Process
, which is in fact what is being used when you say initializer=worker, initargs=(value,). The test being made is whether a process is currently being spawned, which is not the case when you already have an existing process pool and are now just submitting some work for it. But why this restriction?
Would it make sense for you to be able to pickle this shared memory to a file and then a week later trying to unpickle it and use it? Of course not! Python cannot know that you would not be doing anything so foolish as that and so it places great restrictions on how shared memory and locks can be pickled/unpickled, which is only for passing to other processes.
Upvotes: 1