Question
Asked By – PiccolMan
I am trying to implement multiprocessing in my code, and so, I thought that I would start my learning with some examples. I used the first example found in this documentation.
from multiprocessing import Pool
def f(x):
return x*x
if __name__ == '__main__':
with Pool(5) as p:
print(p.map(f, [1, 2, 3]))
When I run the above code I get an AttributeError: can't get attribute 'f' on <module '__main__' (built-in)>
. I do not know why I am getting this error. I am also using Python 3.5 if that helps.
Now we will see solution for issue: Multiprocessing example giving AttributeError
Answer
This problem seems to be a design feature of multiprocessing.Pool. See https://bugs.python.org/issue25053. For some reason Pool does not always work with objects not defined in an imported module. So you have to write your function into a different file and import the module.
File: defs.py
def f(x):
return x*x
File: run.py
from multiprocessing import Pool
import defs
if __name__ == '__main__':
with Pool(5) as p:
print(p.map(defs.f, [1, 2, 3]))
If you use print or a different built-in function, the example should work. If this is not a bug (according to the link), the given example is chosen badly.
This question is answered By – hr87
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