Show HN: High speed graphics rendering research with tinygrad/tinyJIT

17•quantbagel•3h ago

I saw a tweet that tinygrad is so good that you could make a graphics library that wraps tg. So I’ve been hacking on a gtinygrad, and honestly it convinced me it could be used for legit research.

The JIT + tensor model ends up being a really nice way to express light transport all in simple python, so I reimplemented some new research papers from SIGGRAPH like REstir PG and SZ and it just works. instead of complicated cpp its just a 200 LOC of python.

Comments

suhacker256•1h ago

so cool! id love to read a blog post about this.

sxp•1h ago

Claude didn't follow your "Every line must earn its keep. Prefer readability over cleverness. We believe that if carefully designed, 10 lines can have the impact of 1000." from https://github.com/quantbagel/gtinygrad/blob/master/AGENTS.m... given how bloated this demo is.

https://blog.evjang.com/2019/11/jaxpt.html is a better demo of how to render the Cornell Box on a TPU using differentiable path tracing.

hackernudes•1h ago

The agents.md is from the upstream tinygrad repo: https://github.com/tinygrad/tinygrad/blob/master/AGENTS.md

nl•1h ago

Why is this a fork of tinygrad and not just something that imports it?

sixtyj•44m ago

Because forking is new coding /s (What we see is natural entropy of systems. Wannabe codies fork a repo… and instead of contributing to original one they make their own copy. What will happen if you repeat this a few times? ;)

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Show HN: High speed graphics rendering research with tinygrad/tinyJIT

Comments

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