Comments (2)
Rbiessy
commented on September 15, 2024
Thanks for the RFC, I agree this would be nicer. I would suggest using ONEAPI_ONEMKL_ for now. Is this blocking you? We may have the bandwidth to work on this but contributions are welcome if anyone needs this soon.
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al42and
commented on September 15, 2024
Is this blocking you?
Not blocking, just wanted to raise a concern since it's part of public API (I don't have a link at hand, but it was suggested in one of the examples to check these variables).
We may have the bandwidth to work on this but contributions are welcome if anyone needs this soon.
Ok! 😉
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Related Issues (20)
- [BLAS] Wrong namespace usage in BLAS Documentation HOT 5
- pthreads not found HOT 6
- [DFT] compute_forward (forward_ip_rr) function template in forward.hpp overrides compute_forward (forward_op_cc) if in and out types are the same HOT 10
- How to setup CMakeLists to use OneMKL on a GPU (Intel Arc/Nvidia sm_89) HOT 9
- Implement CuBlas/MKL int8, float mixed precision gemm_batch
- Examples fail to build with AdaptiveCpp HOT 1
- [DFT][Unit Tests] External Unit test set fails if either USM or Buffer memory is not supported HOT 4
- MKL FP16 GEMM crash on MTL iGPU HOT 4
- [CMake] Project version does not match release tag
- [CMake] oneMKL version macros HOT 2
- PR workflow for selective testing doesn't work as expected
- When trying to use oneMKL with the portBLAS backend there is a check for Intel, AMD or Nvidia GPU. HOT 3
- v0.5 release notes HOT 9
- [Feature Request] Support value_or_pointer arguments for oneMKL functions HOT 2
- Build with open-source DPC++-LLVM (`clang++`) broken due to compiler removal of `sycl/detail/pi.hpp`
- [ROCFFT] RocFFT fails tests when using ROCm 6.0 or later HOT 4
- gesvd return empty result on cuda backend if M<N
- oneMKL only has `dgmm_batch` variant: doesn't map to cublas
- Using MKL::MKL to resolve the -fsycl issue with AdaptiveCpp fails. HOT 2
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