This is a simplified implementation of std::optional that can be used
in the offload builds for the device code. The methods are properly
marked with RT_API_ATTRS so that the device compilation succedes.
Reviewers: klausler, jeanPerier
Reviewed By: jeanPerier
Pull Request: https://github.com/llvm/llvm-project/pull/85177
This patch enables more numeric (mod, sum, matmul, etc.) APIs,
and some others.
I added new macros to disable warnings about using C++ STD methods
like operators of std::complex, which do not have __device__ attribute.
This may probably result in unresolved references, if the header files
implementation relies on libstdc++. I will need to follow up on this.
This patch mostly affects performance of the code produced by
HLIFR lowering. If MATMUL argument is an array slice, then
HLFIR lowering passes the slice to the runtime, whereas
FIR lowering would create a contiguous temporary for the slice.
Performance might be better than the generic implementation
for cases where the leading dimension is contiguous.
This patch improves CPU2000/178.galgel making HLFIR version
faster than FIR version (due to avoiding the temporary copies
for MATMUL arguments).
Reviewed By: klausler
Differential Revision: https://reviews.llvm.org/D159134
Move the closure of the subset of flang/runtime/*.h header files that
are referenced by source files outside flang/runtime (apart from unit tests)
into a new directory (flang/include/flang/Runtime) so that relative
include paths into ../runtime need not be used.
flang/runtime/pgmath.h.inc is moved to flang/include/flang/Evaluate;
it's not used by the runtime.
Differential Revision: https://reviews.llvm.org/D109107
Define an API for the transformational intrinsic function MATMUL,
implement it, and add some basic unit tests. The large number of
possible argument type combinations are covered by a set of
generalized templates that are instantiated for each valid
pair of possible argument types.
Places where BLAS-2/3 routines could be called for acceleration
are marked with TODOs. Handling for other special cases (e.g.,
known-shape 3x3 matrices and vectors) are deferred.
Some minor tweaks were made to the recent related implementation
of DOT_PRODUCT to reflect lessons learned.
Differential Revision: https://reviews.llvm.org/D102652
