multiprocessing.Value("d") returns a type of multiprocessing.sharedctypes.Synchronized So currently I type hint like: int_val: Synchronized = multiprocessing.Value("i") Is there...

I am creating an inference service with torch, gunicorn and flask that should use CUDA. To reduce resource requirements, I use the preload option of gunicorn, so the model is shared between the wor...

I want Locust to use all cores on my PC. I have many Locust classes and I want to use Locust as a library. Example of my code: import gevent from locust.env import Environment from locust.stats imp...

I'm using Python 3.6 and am trying to follow along with the very first example at the website below (full code also below) and am getting the below error: https://docs.python.org/3.6/library/multip...

It seems like serialization and deserialization associated with python's multiprocessing limit the benefits of processing data in parallel. In the following example, I create a custom iterable that...

I am doing some calculations on large collections of bytes. The process runs on chunks of bytes. I am trying to use parallel processing using multiprocessing for performance enhancement. Initially ...

Edit: I updated the question with a trivial repeatable example for ipython, PyCharm and Visual Studio Code. They all fail in a different way. I am running CPU-intensive tasks in Jupyter Notebook. T...

I am struggling to correctly parallelise a function using Cython. Basically, the problem is to bin some data. The actual code is a bit long, but in the end it does something like this: def bin_var(...

I'm doing an optimization of parameters of a complex simulation. I'm using the multiprocessing module for enhancing the performance of the optimization algorithm. The basics of multiprocessing I le...

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(procn...

I am fairly new to multiprocessing in python. I am trying to use Queues to pass messages between processes. As I read through the documentation it says multiprocessing.Queue() is thread and process...

Say I have a set of 20 CPU heavy tasks (~1 hour each, but some take a lot longer) that are run by calling a function via e.g. Pool.apply_async(function, task_list) etc. PC has 12 Cores. So I can sp...

I'm running a spell correction function on a dataset I have. I used from pathos.multiprocessing import ProcessingPool as Pool to do the job. Once the processing is done, I'd like to actually access...

I'm using multiprocessing to create a sub-process to my Python app. I would like to share data between my parent process and the child process. it's important to mention that I need to share this a...

I had a script that was multiprocessing fine until today. To reproduce the problem, I simplified the function that I parallelized with the one shown below: from multiprocessing import Process, Qu...

I'm starting to include multiprocessing into my code, as the task I'm trying to automate is rather costly computationally speaking. The module structure in the code I have is the following, based o...

In the Python multiprocessing library, is there a variant of pool.map which supports multiple arguments? import multiprocessing text = "test" def harvester(text, case): X = case[0] te...

I am rewriting some code from pure Python to JAX. I have gotten to the point where in my old code, I was using Python's multiprocessing module to parallelize the evaluation of a function over all o...

I am trying to have 2 scripts running in parallel and feeding one with the other. First I trained a model to decode different gestures. I followed the tutorial right here: https://www.youtube.com/w...

On my Macbook Pro (Intel, 2020) I can successfully use multiprocessing.Pool like: from multiprocessing import Pool p = Pool(8) results = p.map(worker_function, list_of_inputs) p.close() However, ...

In a python program, a Process is opened using multiprocessing.Process. Then this process is creating a Pool in order to give it some work using the map() method. When the program is normally run,...

My problem is the following: I have a multiprocessing.pool.ThreadPool object with worker_count workers and a main pqueue from which I feed tasks to the pool. The flow is as follows: There is a ma...

Whats the difference between ThreadPool and Pool in multiprocessing module. When I try my code out, this is the main difference I see: from multiprocessing import Pool import os, time print("hi o...

I need to execute the code below (simplified version of my real code base in Python 3.5): import multiprocessing def forever(do_something=None): while True: do_something() p = multiprocessing.P...

I have two functions to run in parallel and each of them returns a value. I need to wait for both functions to finish and then process the returns from them. How could I achieve this in python. Ass...