export and run with bfloat16 weight matrices #407
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…saving the rest as float32. The `--version` value must be set to -1 (preliminary). Added runbf16.c demonstrator how to run the bfloat16 matrix multiply using float32 arithmetics. Speed is ok'ish, not great, but space is halved.
format: attempt to convert into torch.bfloat16, then view it as torch.int16.
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Added export method to save matrix data in weights as bfloat16 while saving the rest as fp32. The
--versionvalue must be set to -1 (preliminary). Only the legacy export was changed so far.Added runbf16.c demonstrator how to run the bfloat16 matrix multiply using float32 arithmetics.
Speed is ok'ish, not great, but space is halved compared to fp32. 12 core skylake gold 6126@2.6GHz runs with 1.3 tokens/s. Maybe somebody cares to optimize the matmul further.
This patch is a prerequisite for a SX-Aurora Vector Engine patch enabling it to run on bfloat16 data with >32 tokens / s (while running only in fp32 arithmetic units, too).