The tensorflow-macos repo has been archived and the last commit redirects users to the plugin page; however, this page still instructs users to install the now-archived fork. Are these instructions still up to date? Also, what is the plan long-term for Metal/M1 acceleration in Tensorflow—will the necessary changes eventually be upstreamed, if they haven't already?
I'm working on a Metal/DirectX backend for Swift for TensorFlow while simultaneously resurrecting that archived project. It should be released in a few months, and will be more optimized than Apple's PluggableDevice implementation. It will also allow training on an iPhone or iPad, so you can experience fast GPU-accelerated machine learning on an Apple chip even if you have a low-end Intel Mac. Furthermore, it will support training on the integrated GPUs on Intel Macs, which tensorflow-macos doesn't.
@BigfootLives if this sounds like a solution to your question, I can provide links to GitHub repositories about it.