The old way worked to some degree for C++-mode but in C mode we actually
tried to introduce variants of macros (e.g., isinf). To make both modes
work reliably we get rid of those extra variants and directly use NVIDIA
intrinsics in the complex implementation. While this has to be revisited
as we add other GPU targets which want to reuse the code, it should be
fine for now.
Reviewed By: tra, JonChesterfield, yaxunl
Differential Revision: https://reviews.llvm.org/D83591
To avoid linkage errors we have to ensure the linkage allows multiple
definitions of these compiler inserted functions. Since they are on the
cold path of complex computations, we want to avoid `inline`. Instead,
we opt for `weak` and `noinline` for now.
This simply follows the scheme we have for other wrappers. It resolves
the current link problem, e.g., `__muldc3 not found`, when std::complex
operations are used on a device.
This will not allow complex make math function calls to work properly,
e.g., sin, but that is more complex (pan intended) anyway.
Reviewed By: tra, JonChesterfield
Differential Revision: https://reviews.llvm.org/D80897
For OpenMP target regions to piggy back on the CUDA/AMDGPU/... implementation of math functions,
we include the appropriate definitions inside of an `omp begin/end declare variant match(device={arch(nvptx)})` scope.
This way, the vendor specific math functions will become specialized versions of the system math functions.
When a system math function is called and specialized version is available the selection logic introduced in D75779
instead call the specialized version. In contrast to the code path we used so far, the system header is actually included.
This means functions without specialized versions are available and so are macro definitions.
This should address PR42061, PR42798, and PR42799.
Reviewed By: ye-luo
Differential Revision: https://reviews.llvm.org/D75788
Johannes Doerfert