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Hi there, 1st of all thanks for this awesome work !
It would be extremely useful - and environmentally friendly, since the computational power required if often heavy - to allow end users to squeeze the full potential of the hardware they use.
Hi there, 1st of all thanks for this awesome work !
It would be extremely useful - and environmentally friendly, since the computational power required if often heavy - to allow end users to squeeze the full potential of the hardware they use.
A cool hw-exploit example comes from @AmusementClub's vs-mlrt project that provides VapourSynth ML filter runtimes for some video enhancing models on x86 CPUs, Intel GPUs (both integrated & discrete), NVidia GPUs and AMD GPUs.
Another one is @styler00dollar's VSGAN-tensorrt-docker that claims to be the fastest inference code that you can find (TensorRT only).
Last but not least, check out our AI-based page where we collected other open projects that may help to evolve yours.
Hope that inspires !
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