How about making libtorch a first class citizen without crashes and memory leaks? What happened to the "one tool, one job" philosophy?
As an interesting thought experiment: Should PyTorch be integrated into systemd or should systemd be integrated into PyTorch? Both seem to absorb everything else like a black hole.
Did not know executorch existed! That's so cool! I have it on my bucket list to tinker with running LLMs on wearables after I'm a little further along in learning, great to see official tooling for that!
I think this is not about new Pytorch features, although it requires the latest Pytorch and Executorch making me think that some features in pytorch and executorch got extended optimized for this use case?
What makes this cool is that you can use the same model and the same library and apply to server, desktop, laptop and mobile on iOS and Android, with a variety of quantization schemes and other features.
Definitely still some rough edges as I'd expect from any first software release!
How about making libtorch a first class citizen without crashes and memory leaks? What happened to the "one tool, one job" philosophy?
As an interesting thought experiment: Should PyTorch be integrated into systemd or should systemd be integrated into PyTorch? Both seem to absorb everything else like a black hole.