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PyTorch vs. Tynigrad: A Comparison
Tynigrad solves the problem of porting new ML accelerators quickly. It's really, really hard to write a PyTorch port because you have to write 250 kernels and tune them all for performance. You can also load in Onyx models. We have more Onyx tests passing in core ML.