Comments (1)
BLAS is column-major by convention (stemming from the reference implementation having been written in Fortran), the optional transposition is usually handled in the CBLAS interface. But if you check interface/gemv.c you will notice that OpenBLAS has separate GEMV kernels for the n(otranspose) and t(ranspose) case, so probably you have accidentally written the (equally useful) gemv_t kernel instead of gemv_n
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Related Issues (20)
- ARM performance library comparisons HOT 4
- Build Error: Cannot build OpenBLAS with OpenMP enabled and having NUM_PARALLEL > 30 HOT 4
- AVX2: dgemm on HASWELL leads to invalid results (low accuracy) HOT 3
- Kaldi's NAN assert on Graviton3 HOT 21
- Cross compile problem HOT 7
- Slow performance of function `dsyev` and `dsyevx` (not fully paralleled) HOT 3
- Strange issues importing Numpy/OpenBLAS related to ulimit HOT 5
- Segfault in `sgemm` when used in `open-webui` HOT 24
- Support building with flang on windows HOT 16
- Thread callback for OpenMP backend HOT 9
- cblas.h has incorrect declarations when using HOT 4
- `bench_blas.py::test_gesdd` in Codspeed CI job HOT 9
- SVE support for SGEMV kernel and DGEMV kernel on A64FX HOT 1
- 交叉编译问题 HOT 6
- Remove unconditional `NO_AVX512=1` for flang builds HOT 11
- POWER: Error: unrecognized opcode: `stxv' with clang builds HOT 18
- `NO_CBLAS=1` breaks utests HOT 2
- GCC14 issues on loongarch64 and amd64 HOT 4
- DYNAMIC_ARCH does not support A64FX HOT 1
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