can someone give recommendations of other pytorch explanations like this one?

author 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.

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ayewo 19 hours ago | parent [-]

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?).

	▲	akhalilli 18 hours ago \| parent [-]
		thanks for the vouch, appreciated! :) 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.