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I'd like to do the following in CBLAS:
static float a[max_i][max_j]; static float b[max_i][max_j]; static float vec[max_i]; for (size_t i = 0; i < max_i; i++) { for (size_t j = 0; j < max_j; j++) { b+= vec * a ; } }
Is there a single performant function that I can use to do this whole thing (assuming I alter the 2d arrays to be 1d arrays)? I know I can do this with a for loop of cblas_saxpy's.
Thanks!
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Hi James,
It seems no one blas function can do this. Maybe you can take vec as diagonal element of one matrix, other as 0, then call gemm. B=A*V+B
Best Regards,
Ying

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