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Support 8 bit weights "unpacked" compute mode in MatmulNBits kernel #24959
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You can commit the suggested changes from lintrunner.
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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PR feedback Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
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Description
MLAS doesn't have optimized kernel implementations for 8-bit weights to support all user requested configurations (as allowed per the
MatMulNBits
op kernel spec) For example, onlyaccuracy_level
of 4 is supported when weights are 8 bits. In this case, provide a "fallback" execution path like the one available for 4 bit weights.This change:
Adds an execution path in the "unpacked compute" mode for 8-bit weights in
MatmulNBits
kernelas MLASDequantize already supports 8 bit weights
1.1 Hitting the non-MLAS de-quantization path which doesn't support 8 bits should be very rare and an enforce is added to guard against hitting that
Added logging to alert users that the non-optimal "unpacked compute" mode is being used in the
MatmulNBits
kernel when MLAS doesn't have an optimized kernel for that configurationMotivation and Context
Prevent users from hitting errors if MLAS doesn't host optimized kernels for 8 bit weights