On: ROCm Device Support Wishlist

[latchkey]

> 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?

[juliangoldsmith → latchkey]

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.