Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

Python provides two ways to work around this issue: threading and multiprocessing. Each approach allows you to break a long-running job into parallel batches, which you can work on side-by-side.

Multiprocessing sidesteps this limitation by giving each operation a separate Python runtime and a full CPU core. Disadvantages of Python multiprocessing Multiprocessing has two distinct downsides.

Fortunately for us, the Python developers worked hard to create a multiprocessing module which has an interface that is almost identical to the threading module.

Post the results for each row to a multiprocessing.Queue, and spawn a single process that gets from the queue and writes to the file. It'll post some code when I get to work. More options ...

This Python and Llama 2 guide offers more insight. Skip to main content; ... Code a Llama 2 API with multiprocessing support using Python. 7:39 am August 15, 2023 By Julian Horsey.