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adds wvSpltK optimization for skinny gemm. #54
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wvSpltK for skinny gemm |
@@ -69,13 +70,12 @@ def mm(self, inp, weights): | |||
k = inp_view.shape[1] | |||
soltype, solidx = self.query_sol(m=m, n=n, k=k) | |||
if soltype == 1: | |||
#print(">>> found hipblas") | |||
print(">>> found hipblas") |
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Please don't enable these prints
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yup sorry
out = hipb_mm(inp_view, weights.t(), solidx) | ||
elif soltype == 2: | ||
#print(">>> found rocblas") | ||
print(">>> found rocblas") |
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Same here
dtype=inp_view.dtype, | ||
device='cuda') | ||
_custom_C.wvSpltK(weights, inp_view, out, n, self.CuCount) | ||
elif n == 1 and inp_view.dtype == torch.float16: |
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We are never going to reach here now, aren't we? Might as well remove the code path if we are certain that wvSpltK is always superior to LLMM1
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was missing k%8==0 condition. I left in LLMM1 because it was restrictive in passed, and we haven't extensively checked if there are cases where it outperforms.
Adds wvSpltK optimization for skinny gemm; a less restrictive dot2-based solution.
FIX #xxxx (link existing issues this PR will resolve)
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