Python is definitely one of the worst languages for parallel processing. Just finna get the parent process to throw an error when the child process fails. Inste
I'm trying to parallelize a function in python which interacts with redis using redis-py package. To achieve this task I'm using multiprocessing pool, however I
I have a model.predict()-method and 65536 rows of data which takes about 7 seconds to perform. I wanted to speed this up using the joblib.parallel_backend tooli
This is a rough example of how I leverage multiprocessing with pathos: from pathos.multiprocessing import ProcessingPool pool = ProcessingPool(10) results = po
I'm using TensorFlow training a deep learning model and the model is successfully trained however at the end it returns this error message to me: Exception igno
I am trying to use a TensorRT engine for inference in a python class that inherits from multiprocessing. The engine works in a standalone python script on my sy
I would like to use scipy.fftpack.fft (and rfft) inside a multiprocessing structure, I have observed significant performances losses due to an apparent incompat
In python 2, is there any difference between multiprocessing.dummy.Pool and multiprocessing.pool.ThreadPool? The source code seems to imply they're the same.
I am trying to train a custom ner model using spacy. Currently, I have more than 2k records for training and each text consists of more than 100 words, at least
I'm trying to read raw data from a zipfile. The structure of that file is: zipfile data Spectral0.data Spectral1.data Spectral[...].data Spectral300.data Heade
So I'm trying to use multiprocessing Manager on a dict of dicts, this was my initial try: from multiprocessing import Process, Manager def task(stat): tes
It is first time I play with parallel computing seriously. I am using multiprocessing module in python and I am running into this problem: A queue consumer run
I am using Python multiprocessing shared memory. I see the following error when I try to close a SharedMemory object: BufferError: memoryview has 1 exported buf
I am learning python multiprocessing, and I am trying to use this feature to populate a list with all the files present in an os. However, the code that I wrote
I am using the multiprocessing module to create a Process. In this child process, it will run an asyncio event loop, and in the parent process, I am not. How ca
I'm trying to parallelize the subsetting of a Python dictionary. The code below creates a new dictionary, positions_sub, based on if the keys in positions dicti