Add Intel GPU support

Describe the feature you'd like to request

As many probably have a server with something like an old Intel processor with an iGPU (at least I have) it'd be cool to have support for those iGPUs (and also support for the ARC A series for free) to take some burden off the CPU.

Describe the solution you'd like

To work with Intel on tensor flow, you need to use the https://github.com/intel/intel-extension-for-tensorflow package and normally it should just pick up the Intel GPU as an accelerator device if everything is installed correctly. iGPUs aren't quite the first class citizen, but they should work reasonably well (see here) and support seems to go back to Skylake.

It'll probably be needs to be custom built anyway to support certain GPU families, so there's probably not much you need to do from your side, other than some guidance on how to build and where to install the result, to verify that it picks up accelerators other than NVIDIA and maybe to renaming of the NVIDIA GPU support toggle so something like GPU support.

AMD also would be nice to have for a full support, but they don't support their GPUs as an extension to tensorflow, but only as a replacement package, so that's probably a lot harder to realize.

Describe alternatives you've considered

Running it on the CPU. It's passable, but of course it isn't particularly fast, especially if you throw in a bunch of lange images at once and chews on quite some resources that the rest of the system could use.

Depends on: https://github.com/tensorflow/tfjs/issues/8040

Start by reviewing the Intel Extension for TensorFlow package and the linked tensorflow/tfjs issue #8040; this issue does not name repository files or tests. Done would require an agreed approach for Intel iGPU and Arc support, build and installation guidance, accelerator detection beyond NVIDIA, and any GPU-toggle naming change.