From Julia to Rust: a differentiable tensor stack for scientific computing
45 points by postflopclarity
by jarbus
1 subcomments
really interesting perspective, as an ex-julia user, can't really argue with the main points. I will say that julia is delightful to use and code in, whereas the article's main point is that rust becomes bearable once you don't have to code yourself, haha.
by nestorD
0 subcomment
I have wanted a JAX-like (XLA backed) Rust tensor library for ever!
Metal only supported via wgpu due to pulling in CubeCL as a dependency is... not ideal.
If you need to extend it, you'll have to write custom Autodiff rules with the ergonomics of a Rust front-end and a JAX-like backend. :(
by QuadmasterXLII
1 subcomments
Disconcerting to see at the end that the blog post is generated. The genre is decidedly “use-my-thing Readme.md” and all current gen LLMs by default jump to shameless lies when they detect that they are writing such a Readme, although they are perfectly capable of working out the truth in a genre like “essay question on which you will be graded by academic standards.”
Are the human “coauthors” lying if I hypothetically go to the crate looking for the promised xla backend and find //TODO implement this?
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