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When I implemented run time repacking, I required the tensor to be 2D to be eligible for repacking, I guess to simplify the code. But I forgot about MoE models, where expert weights are in 3D tensors.
This PR fixes that. This leads to very significant performance gains. E.g., for DeepSeek-Lite quantized with
IQ4_XS, we getPP-512 = 545t/s on the main branch, andPP-512 = 677 t/swith this PR when using run time repacking.