ML4Bratwurst t1_j5zxikl wrote on January 26, 2023 at 7:02 PM

Reply to comment by ReginaldIII in [P] EvoTorch 0.4.0 dropped with GPU-accelerated implementations of CMA-ES, MAP-Elites and NSGA-II. by NaturalGradient

Can you give me one example of this? And even if. My point is still valid because I did not say that you should delete the CPU support lol

ReginaldIII t1_j5zzhj1 wrote on January 26, 2023 at 7:14 PM

Pick the tools that work for the problems you have. If you are online training a model on an embedded device you need something optimized for that hardware.

I gave you a generic example of a problem domain where this applies. You can search for online training on embedded devices if you are interested but I can't talk about specific applications because they are not public.

All I'm saying is drawing a line in the sand and saying you'd never use X if it doesn't have Y is silly because what if you end up working on something in the future where the constraints are different?