Following nvptx approach, this patch uses complex function
definitions from complex_cmath.h. With this patch, ovo passes
23/34 complex mathematical test cases.
Reviewed By: JonChesterfield
Differential Revision: https://reviews.llvm.org/D109344
With this patch, OpenMP on AMDGCN will use the math functions
provided by ROCm ocml library. Linking device code to the ocml will be
done in the next patch.
Reviewed By: JonChesterfield, jdoerfert, scchan
Differential Revision: https://reviews.llvm.org/D104904
With this patch, OpenMP on AMDGCN will use the math functions
provided by ROCm ocml library. Linking device code to the ocml will be
done in the next patch.
Reviewed By: JonChesterfield, jdoerfert, scchan
Differential Revision: https://reviews.llvm.org/D104904
With this patch, OpenMP on AMDGCN will use the math functions
provided by ROCm ocml library. Linking device code to the ocml will be
done in the next patch.
Reviewed By: JonChesterfield, jdoerfert, scchan
Differential Revision: https://reviews.llvm.org/D104904
The `__CUDA__` macro is already defined for openmp/nvptx and is not used by
`__clang_cuda_complex_builtins.h`, so dropping that macro slightly simplifies
nvptx and avoids defining it on amdgcn (where it is likely to be harmful).
Also dropped a cplusplus test from a C++ header as compilation will have
failed on cmath earlier if it was included from C.
Reviewed By: jdoerfert, fodinabor
Differential Revision: https://reviews.llvm.org/D105221
We do provide `operator delete(void*)` in `<new>` but it should be
available by default. This is mostly boilerplate to test it and the
unconditional include of `<new>` in the header we always in include
on the device.
Reviewed By: JonChesterfield
Differential Revision: https://reviews.llvm.org/D100620
This is very similar to 7f1e6fcff9, just fixing a left-over.
With this, it should be possible to use both, -x cuda and -fopenmp in the same invocation,
enabling to use both OpenMP, targeting CPU, and CUDA, targeting the GPU.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D90415
The last (big) missing piece to get "math" working in OpenMP target
regions (that I know of) was complex math functions, e.g.,
`std::sin(std::complex<double>)`. With this patch we overload the system
template functions for these operations with versions that have been
distilled from `libcxx/include/complex`. We use the same
`omp begin/end declare variant`
mechanism we use for other math functions before, except that we this
time overload templates (via D85735).
Reviewed By: JonChesterfield
Differential Revision: https://reviews.llvm.org/D85777
With this extension the effects of `omp begin declare variant` will be
applied to template function declarations. The behavior is opt-in and
controlled by the `extension(allow_templates)` trait. While generally
useful, this will enable us to implement complex math function calls by
overloading the templates of the standard library with the ones in
libc++.
Reviewed By: JonChesterfield
Differential Revision: https://reviews.llvm.org/D85735
Due to recent changes we cannot use OpenMP in CUDA files anymore
(PR45533) as the math handling of CUDA is different when _OPENMP is
defined. We actually want this different behavior only if we are
offloading with OpenMP to NVIDIA, thus generating NVPTX. With this patch
we do not interfere with the CUDA math handling except if we are in
NVPTX offloading mode, as indicated by the presence of __OPENMP_NVPTX__.
Reviewed By: tra
Differential Revision: https://reviews.llvm.org/D78155
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
If we are in C++ mode and include <math.h> (not <cmath>) first, we still
need to make sure <cmath> is read first. The problem otherwise is that
we haven't seen the declarations of the math.h functions when the system
math.h includes our cmath overlay. However, our cmath overlay, or better
the underlying overlay, e.g. CUDA, uses the math.h functions. Since we
haven't declared them yet we get errors. CUDA avoids this by eagerly
declaring all math functions (in the __device__ space) but we cannot do
this. Instead we break the dependence by forcing cmath to go first.
Reviewed By: JonChesterfield
Differential Revision: https://reviews.llvm.org/D77774
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
Summary:
To use new/delete in NVPTX code we need to define them. Implementation
copied from CUDA wrappers.
Reviewers: hfinkel, jdoerfert
Subscribers: mgorny, guansong, kkwli0, caomhin, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D73128
Summary: This patches fixes an issue in which the __clang_cuda_cmath.h header is being included even when cmath or math.h headers are not included.
Reviewers: jdoerfert, ABataev, hfinkel, caomhin, tra
Reviewed By: tra
Subscribers: tra, mgorny, guansong, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D61765
llvm-svn: 360626
Summary:
In this patch we propose a temporary solution to resolving math functions for the NVPTX toolchain, temporary until OpenMP variant is supported by Clang.
We intercept the inclusion of math.h and cmath headers and if we are in the OpenMP-NVPTX case, we re-use CUDA's math function resolution mechanism.
Authors:
@gtbercea
@jdoerfert
Reviewers: hfinkel, caomhin, ABataev, tra
Reviewed By: hfinkel, ABataev, tra
Subscribers: JDevlieghere, mgorny, guansong, cfe-commits, jdoerfert
Tags: #clang
Differential Revision: https://reviews.llvm.org/D61399
llvm-svn: 360265
This commit appears to be breaking stage-2 builds on GreenDragon. The
OpenMP wrappers for cmath and math.h are copied into the root of the
resource directory and cause a cyclic dependency in module 'Darwin':
Darwin -> std -> Darwin. This blows up when CMake is testing for modules
support and breaks all stage 2 module builds, including the ThinLTO bot
and all LLDB bots.
CMake Error at cmake/modules/HandleLLVMOptions.cmake:497 (message):
LLVM_ENABLE_MODULES is not supported by this compiler
llvm-svn: 360192
Summary:
In this patch we propose a temporary solution to resolving math functions for the NVPTX toolchain, temporary until OpenMP variant is supported by Clang.
We intercept the inclusion of math.h and cmath headers and if we are in the OpenMP-NVPTX case, we re-use CUDA's math function resolution mechanism.
Authors:
@gtbercea
@jdoerfert
Reviewers: hfinkel, caomhin, ABataev, tra
Reviewed By: hfinkel, ABataev, tra
Subscribers: mgorny, guansong, cfe-commits, jdoerfert
Tags: #clang
Differential Revision: https://reviews.llvm.org/D61399
llvm-svn: 360063
Pushpinder Singh