How to get accelerated using multiprocessing/process_map et al., with heavy calculation in python (e.g., numpy)?
I’ve got a function written in Numpy where each call costs about 2 seconds, but I have to run it tens of thousands of times. It is obvious that I should use multi-thread or multi-processing, and the easiest way might be using process_map or thread_map in tqdm.contrib.concurrent. But I found it not working as expected. … Read more