Show HN: High speed graphics rendering research with tinygrad/tinyJIT (opens in new tab)

(github.com)

31 pointsquantbagel2mo ago10 comments

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.

10 comments

nl2mo ago

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

sixtyj2mo 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? ;)

Keyframe2mo ago

That is a legit way of working on contribution. You fork, you work on the fork - if it's not junk then you issue a pull request. What's the deal with belittling and holier-than-thou moralizing?

1 more reply

quantbagelOP2mo ago

Well I wanted to implement light transport papers without having to deal with cpp. I think tinygrad, and more specifically tinyJIT are super useful abstractions. This is def not available in ts

1 more reply

sxp2mo 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.

hackernudes2mo ago

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

nomilk2mo ago

> Never mix functionality changes with whitespace changes.

Whoa.. the cursor rule I didn't know I needed!

suhacker2562mo ago

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

j / k navigate · click thread line to collapse

Show HN: High speed graphics rendering research with tinygrad/tinyJIT (opens in new tab)

(github.com)

31 pointsquantbagel2mo ago10 comments

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.

10 comments

nl2mo ago

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

sixtyj2mo ago

Keyframe2mo ago

That is a legit way of working on contribution. You fork, you work on the fork - if it's not junk then you issue a pull request. What's the deal with belittling and holier-than-thou moralizing?

1 more reply

quantbagelOP2mo ago

Well I wanted to implement light transport papers without having to deal with cpp. I think tinygrad, and more specifically tinyJIT are super useful abstractions. This is def not available in ts

1 more reply

sxp2mo ago

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.

hackernudes2mo ago

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

nomilk2mo ago

> Never mix functionality changes with whitespace changes.

Whoa.. the cursor rule I didn't know I needed!

suhacker2562mo ago

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

j / k navigate · click thread line to collapse