alt Hacker Newsauthor here. honest answer: there isn't much that covers the whole thing end to end, that's partly why I started writing this.
but the ones I learned from: - Edward Yang's "pytorch internals" post: http://blog.ezyang.com/2019/05/pytorch-internals/ it's the classic, goes deep on the c++ side.
- the pytorch developer podcast, same author. short episodes, one internal topic each
- the pytorch repo's own CONTRIBUTING.md, the folder layout explained by the maintainers
- and if you want to build autograd instead of reading about it, Karpathy's micrograd / zero to hero
mine is planned as 12 parts, the list is at the end of the post. part 1 (chapter Tensor: storage, strides, views) is in progress now.
Thanks for the PyTorch internals OG link and for putting together your PyTorch one-pager, if we can call it that :)
Kudos.
Off-topic:
Some of your comments in this thread are dead, but I’ve vouched for some them as I don’t see anything wrong with what you’ve written, other than your writing here on HN sounds a little like you are using an LLM to compose each reply (or perhaps your regular use of LLMs is showing through in your comments?).