
How can I get the return value of a function passed to …
Dec 1, 2016 · In the example code below, I'd like to get the return value of the function worker. How can I go about doing this? Where is this value stored? Example Code: import multiprocessing def worker(pro...
How to use multiprocessing queue in Python? - Stack Overflow
I'm having much trouble trying to understand just how the multiprocessing queue works on python and how to implement it. Lets say I have two python modules that access data from a shared file, let'...
Shared variable in python's multiprocessing - Stack Overflow
Jun 30, 2013 · Shared variable in python's multiprocessing Asked 12 years ago Modified 2 years, 6 months ago Viewed 150k times
Multiprocessing : use tqdm to display a progress bar
Jan 29, 2017 · To make my code more "pythonic" and faster, I use multiprocessing and a map function to send it a) the function and b) the range of iterations. The implanted solution (i.e., calling tqdm
multiprocessing vs multithreading vs asyncio - Stack Overflow
Dec 12, 2014 · Multiprocessing Each process has its own Python interpreter and can run on a separate core of a processor. Python multiprocessing is a package that supports spawning processes using an API similar to the threading module.
python - multiprocessing fork () vs spawn () - Stack Overflow
Sep 28, 2020 · Multiprocessing spawn is not like subprocess spawn. With subprocess spawn, you're spawning a different Python program, which can have a different (and hopefully smaller) list of loaded modules. But with multiprocessing spawn, the initialisation would preload all modules that are loaded in the main process, so it's always more bloated than fork.
Multiprocessing vs Threading Python - Stack Overflow
Feb 9, 2020 · I am trying to understand the advantages of multiprocessing over threading. I know that multiprocessing gets around the Global Interpreter Lock, but what other advantages are there, and can threadi...
python - multiprocessing - execute external command and wait …
We're creating multiprocessing.cpu_count() threads in the pool, and each thread launches one process. So we'll have cpu_count processes, utilizing one core each (assuming the processes are single-threaded). As soon as one subprocess finishes, the thread that was running the process will pull the next command off the queue, and execute that.
PyInstaller-built Windows EXE fails with multiprocessing
Dec 29, 2014 · In my project I'm using Python's multiprocessing library to create multiple processes in __main__. The project is being packaged into a single Windows EXE using PyInstaller 2.1.1. I create new pro...
CUDA ERROR: initialization error when using parallel in python
Nov 17, 2015 · I found this is a problem with cuda putting a mutex for a process ID. So when you use the multiprocessing module another subprocess with a separate pid is spawned. And it is not able to access because of the mutex for the GPU. A quick solution which I found to be working is using the threading module instead of the multiprocessing module. So basically the same pid …