[lostmsu]

It was ok as an educational tool, but now they don't count GPU implementation in 1000 lines, so it is not small. Considering the code style it is closer to 20k+ lines when formatted and GPU code included.

It also doesn't support bfloat16 so is doomed to be 2x slower.

[terafo]

Actual code of tinygrad is less than 5k lines. There is also 1600 lines of tests and around 2k lines of example models. And I didn't count unfinished support for geohot's own unfinished neural network accelerator(verilog for that accelerator sits in repo too), which is abandoned.

[lostmsu]

> Actual code of tinygrad is less than 5k lines

Yeah, not

> Considering the code style

I mean it is possible to read it, but I would not say it is optimized for it. Which I suppose betrays the goal.

[terafo]

> Yeah, not

Provide some evidence. I just ran tokei on freshly cloned tinygrad repo using arguments from[1]. Got 4854 lines of code, which is less than 5k lines.

[1] tokei --exclude *.json --exclude accel/cherry --exclude test --exclude examples

[lostmsu]

After running black it is more like 6.8k. And black does not format C and/or shader code.

But even 5k is closer to 20k on the log scale than to the promised 1k.