Profiling a python multiprocessing pool
Date : March 29 2020, 07:55 AM
around this issue I'm trying to run cProfile.runctx() on each process in a multiprocessing pool, to get an idea of what the multiprocessing bottlenecks are in my source. Here is a simplified example of what I'm trying to do: , Try this: def square_wrapper(i):
result = [None]
cProfile.runctx("result[0] = square(i)", globals(), locals(), "file_%d" % i)
return result[0]
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Profiling Haskell code but excluding library profiling information
Date : March 29 2020, 07:55 AM
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Python multiprocessing.Process object with multiprocessing.Manager creates multiple multiprocessing forks in Windows Tas
Date : March 29 2020, 07:55 AM
Does that help multiprocessing.Manager works by spawning a separate Manager server process, which will run until the Manager is garbage collected:
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Error when profiling an otherwise perfectly working multiprocessing python script with cProfile
Tag : python , By : user158193
Date : March 29 2020, 07:55 AM
I hope this helps . It seems cProfile simply doesn't work with multiprocessing. If you are happy to modify the code only profile the main process (or add specific profiling for the subprocesses), cProfile.run() seems to work to a degree. exit(main())
exit(cProfile.run('main()')
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profiling python multiprocessing pool
Date : March 29 2020, 07:55 AM
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