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

  • Posted 1 day ago by quantbagel
  • 28 points
https://github.com/quantbagel/gtinygrad
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.

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