The use of multiple Parameter functions in python Multi-process

This article will explain in detail how to use multiple parameter functions in python multi-process. The content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

1. In the multi-parameter function, if you only want to take one parameter in turn in the multi-process task to iterate each value in the object, and the other parameters are fixed, use the partial function to build a single-parameter function.

2. Do not use the lambda function instead of the partial function, otherwise it will report an error that the local function cannot be serialized.

Example

From multiprocessing import Poolfrom tqdmimport tqdmimport numpy as npimport mathimport timefrom functools import partial def func (xmemy): time.sleep (0.1) return math.sin (x) + math.cos (y) with Pool (processes = 20) as pool: result = list (pool.imap (partial (func,y = math.pi), np.linspace (0memmath.piperi1000), total=1000)) about the use of multiple parameter functions in python multi-processes. I hope the above content can be of some help to you and learn more knowledge. If you think the article is good, you can share it for more people to see.