Further tune vector-matrix product #253
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The kernel prefers the K dimension to be small if B has unit column stride or large if it has unit row stride. In the case of unit column stride, reducing the K dimension further helped. These changes made GPT-2 medium fp32 about 10% faster on an Ice Lake i5.
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The kernel prefers the K dimension to be small if B has unit column stride or large if it has unit row stride. In the case of unit column stride, reducing the K dimension further helped.
These changes made GPT-2 medium fp32 about 10% faster on an Ice Lake i5.