can someone give recommendations of other pytorch explanations like this one?
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.
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?).
and honest answer, English is not my first language, so yes, I rely on co-pilot tools when I write and it probably shows.
the PyTorch content itself I can defend line by line, that part is mine.