Somewhat related: starting a new Ubuntu-pytorch-cuda project? That’ll be 10-15 gigabytes, please. Is there some way to strip down the individual deps? I imagine it’s the way that it is because the drivers and the pytorch source are probably machine generated before compilation, to some extent. Is there any hope for triton becoming a lightweight interstitial frame in the codebase stack that can just allow me to do the hw codegen after pulling, without having to rebuild completely everything, and also simultaneously allowing more accelerators?