[domschl]

The project probably at least partially serves as documentation for other platforms to integrate Silicon acceleration. It basically demonstrates how to use macOS Accelerate and Metal MPS (metal performance shaders) using C++ for Machine Learning and training optimization.

Thus other platforms can simply take this backend-code and integrate it. (Pytorch basically did that already with Apple's help).

[yobanate]

Nailed it. I think more than partially. What happens in this repo will spread to the other major frameworks and over time, clever ideas that spawn on other projects will be reimplemented with Apple's adjustments back into the repo. It's a brilliant and efficient way to interact with the community, that can likely be measured in more sales of their hardware over time.

[docfort]

It doesn’t use MPS, so at least that part is more interesting than the usual approach.