Show HN: Autograd.c – A tiny ML framework built from scratch

woah, this got way more attention than i expected. thanks a lot.

if you are interested in the technical details, the design specs are here: https://github.com/sueszli/autograd.c/blob/main/docs/design....

if you are working on similar mlsys or compiler-style projects and think there could be overlap, please reach out: https://sueszli.github.io/

Any reason for creating a new tensor when accumulating grads over updating the existing one?

Edit: I asked this before I read the design decisions. Reasoning is, as far as I understand, that for simplificity no in-place operations hence accumulating it done on a new tensor.

Cool. But this makes me wonder. This negates most of the advantages of C. Is there a compiler-autograd "library"? Something that would compile into C specifically to execute as fast as possible on CPUs with no indirection at all.