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.