alt Hacker News> AMD's hardware might be compelling if it had good software support, but it doesn't. CUDA regularly breaks when I try to use Tensorflow on NVIDIA hardware already.
So it is all shit, but tinygrad saves the day?
> AMD's hardware might be compelling if it had good software support, but it doesn't. CUDA regularly breaks when I try to use Tensorflow on NVIDIA hardware already.
So it is all shit, but tinygrad saves the day?
It works out of the box without jumping through any hoops, and the fact that it has an OpenCL backend means it can run on a wide variety of hardware.
I don't know of any other autograd libraries with a non-CUDA backend, but I'd be interested to learn about them.