BF16I4 Preshuffled Grouped Gemm #3917
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Summary: X-link: facebookresearch/FBGEMM#1003 This diff adds a preshuffled BF16I4 mixed dtype kernel using cutlass. Performance is quite compelling and shows substantial speedups for some shapes compared to bf16 x bf16 gemm backed by cublas. Notably, this preshuffle approach is 1.5-2X faster than the standard bf16i4 gemm for most shapes. Compared to other mixed dtype kernels like marlin and machete, we see that this new kernel is probably the best average performer. {F1976677491} Reviewed By: jianyuh, jiawenliu64 Differential Revision: D72270467
Summary: X-link: facebookresearch/FBGEMM#1006 This diff adds a preshuffled variant of BF16I4 Grouped Gemm. Notably, cutlass does not currently support zero points for grouped gemm, so this kernel must be used without them. That said, the accuracy of the kernel appears reasonable and the performance is very compelling. {F1976716898} Reviewed By: jiawenliu64 Differential Revision: D72337760
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Summary: Pull Request resolved: facebookresearch/FBGEMM#1006 X-link: pytorch#3917 This diff adds a preshuffled variant of BF16I4 Grouped Gemm. Notably, cutlass does not currently support zero points for grouped gemm, so this kernel must be used without them. That said, the accuracy of the kernel appears reasonable and the performance is very compelling. {F1976716898} Reviewed By: jiawenliu64 Differential Revision: D72337760 fbshipit-source-id: a2cf9e913d095da42f1cf88a5c08dbbe1f2794c9
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Summary:
This diff adds a preshuffled variant of BF16I4 Grouped Gemm. Notably, cutlass does not currently support zero points for grouped gemm, so this kernel must be used without them. That said, the accuracy of the kernel appears reasonable and the performance is very compelling.
{F1976716898}
Differential Revision: D72337760