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Your comment is one of the most pompous that I've ever read. NVDIA value lies only in pytorch and cuda optimizations with respect with pure c implementation, s
by _giorgio_ 2y ago
Your comment is one of the most pompous that I've ever read.
NVDIA value lies only in pytorch and cuda optimizations with respect with pure c implementation, so saying that you need go lower level than cuda or pytorch means simply reinventing Nvidia. Good luck with that
- alecco 2y ago1. I only said the meaning of the title is wrong, and I praised the content 2. I didn't say CUDA wouldn't be ground up or low level (please re-read) (I say in another comment about a no-code guide with CUDA, but it's obviously a joke) 3. And finally, I think your comment comes out as holier than thou and finger pointing and making a huge deal out of a minor semantic observation.
- _giorgio_ 2y agoThere's always a lower level, until there's not. Pytorch is low level enough to understand and interpret each and every passage. In pytorch, you can use builtin transformers, or code them yourself down to the "lowest" level in which there's still a theoretical meaning. So pytorch is just a tool and your comment was just pompous and empty.