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by numbers_guy
125 days ago
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Also in this world of accelerator programming, people are writing very specialized codes that target a specific architecture, datatype, and even input shape. So with that in mind, how useful is it to have a generic kernel? You still need to do all the targetted optimization to make it performant. If you want portablitiy you need a machine learning compiler ala TorchInductor or TinyGrad or OpenXLA. |
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