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Top-level
@raph @BartWronski @gregmorenz Yeah, there's definitely a lowest common denominator problem with wgpu, but I imagine it'll be "good enough" for the short to medium term. In the future, I hope that an actual standard for this kind of ML acceleration is formulated, but it's not really in Team Green's best interests to facilitate that... 2 comments
@raph @philpax @BartWronski @gregmorenz My experience is that this work needs commercial sponsorship of a particular shape. Research framework users generally will only use something free + open source, yet adequate support for a given piece of hardware is way beyond student or hobbyist work. I started a company that built a performance-portable deep learning framework and learned this and many lessons slowly π |
Gregory's Server
@philpax @BartWronski @gregmorenz I agree. And more to the point, once you actually get it running, then the open source community can incrementally optimizes pieces of it until it runs pretty well. The missing piece (that seems to have very little community interest) is ahead of time compiled shaders, which would also let you do custom WGSL extensions.