CUDA buildbots complained about a redefinition when I landed D89971.
This is odd and I fail to understand where in the CUDA headers the other
definition is supposed to be. For now, given that CUDA doesn't need the
overload (AFAIKT), we simply restrict it to the OpenMP mode.
Reported by Colleen Bertoni <bertoni@anl.gov> after running the OvO test
suite: https://github.com/TApplencourt/OvO/
The template overload is still hidden behind an ifdef for OpenMP. In the
future we probably want to remove the ifdef but that requires further
testing.
Reviewed By: JonChesterfield, tra
Differential Revision: https://reviews.llvm.org/D89971
`std::isnan` and friends can be found in two variants in the wild, one
returns `bool`, as the standard defines it, one returns `int`, as the C
macros do. So far we kinda hoped the system versions of these functions
will work for people, e.g. they are definitions that can be compiled for
the target. We know that is not the case always so we leverage the
`disable_implicit_base` OpenMP context extension to specialize both
versions of these functions without causing an invalid redeclaration.
Reviewed By: JonChesterfield, tra
Differential Revision: https://reviews.llvm.org/D85879
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
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: When including the random header in C++, some of the math functions it relies on are not present in the CUDA headers. We include this variants in this case.
Reviewers: jdoerfert, hfinkel, tra, caomhin
Reviewed By: tra
Subscribers: efriedma, guansong, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D62046
llvm-svn: 361066
Summary:
This is a fix for the reported bug:
[[ https://bugs.llvm.org/show_bug.cgi?id=41861 | 41861 ]]
abs functions need to be moved under the c++ macro to avoid conflicts with included headers.
Reviewers: tra, jdoerfert, hfinkel, ABataev, caomhin
Reviewed By: jdoerfert
Subscribers: guansong, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D61959
llvm-svn: 360809
Summary: In OpenMP device offloading we must ensure that unde C++ 17, the inclusion of cstdlib will works correctly.
Reviewers: ABataev, tra, jdoerfert, hfinkel, caomhin
Reviewed By: jdoerfert
Subscribers: Hahnfeld, guansong, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D61949
llvm-svn: 360804
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
Summary:
These all had somewhat custom file headers with different text from the
ones I searched for previously, and so I missed them. Thanks to Hal and
Kristina and others who prompted me to fix this, and sorry it took so
long.
Reviewers: hfinkel
Subscribers: mcrosier, javed.absar, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D60406
llvm-svn: 357941
[IMPORTANT]
With that last fix, CUDA has just started being compiling by clang on Windows after nearly a year and two clang’s major releases (7 and 8).
As long as the last LLVM release, in which clang was compiling CUDA on Windows successfully, was 6.0.1, this fix and two previous have to be included into upcoming 7.1.0 and 8.0.1 releases.
[How to repro]
clang++.exe -x cuda "c:\ProgramData\NVIDIA Corporation\CUDA Samples\v9.0\0_Simple\simplePrintf\simplePrintf.cu" -I"c:\ProgramData\NVIDIA Corporation\CUDA Samples\v9.0\common\inc" --cuda-gpu-arch=sm_50 --cuda-path="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0" -L"c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\lib\x64" -lcudart.lib -v
[Output]
In file included from C:\GIT\LLVM\trunk-for-submits\llvm-64-release-vs2017-15.9.9\dist\lib\clang\9.0.0\include\__clang_cuda_runtime_wrapper.h:327:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0/include\crt/math_functions.hpp:390:11: error: no matching function for call to '__isinfl'
return (__isinfl(a) != 0);
^~~~~~~~
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0/include\crt/math_functions.hpp:2662:14: note: candidate function not viable: call to __host__ function from __device__ function
__func__(int __isinfl(long double a))
^
In file included from <built-in>:1:
In file included from C:\GIT\LLVM\trunk-for-submits\llvm-64-release-vs2017-15.9.9\dist\lib\clang\9.0.0\include\__clang_cuda_runtime_wrapper.h:327:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0/include\crt/math_functions.hpp:438:11: error: no matching function for call to '__isnanl'
return (__isnanl(a) != 0);
^~~~~~~~
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0/include\crt/math_functions.hpp:2672:14: note: candidate function not viable: call to __host__ function from __device__ function
__func__(int __isnanl(long double a))
^
In file included from <built-in>:1:
In file included from C:\GIT\LLVM\trunk-for-submits\llvm-64-release-vs2017-15.9.9\dist\lib\clang\9.0.0\include\__clang_cuda_runtime_wrapper.h:327:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0/include\crt/math_functions.hpp:486:11: error: no matching function for call to '__finitel'
return (__finitel(a) != 0);
^~~~~~~~~
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0/include\crt/math_functions.hpp:2652:14: note: candidate function not viable: call to __host__ function from __device__ function
__func__(int __finitel(long double a))
^
3 errors generated when compiling for sm_50.
[Solution]
Add missing long double device functions' declarations. Provide only declarations to prevent any use of long double on the device side, because CUDA does not support long double on the device side.
[Testing]
{Windows 10, Ubuntu 16.04.5}/{Visual C++ 2017 15.9.9, gcc+ 5.4.0}/CUDA {8.0, 9.0, 9.1, 9.2, 10.0, 10.1}
Reviewed by: Artem Belevich
Differential Revision: http://reviews.llvm.org/D60220
llvm-svn: 357779
Summary:
__builtin_nexttoward lowers to a libcall, e.g. nexttowardf(), that CUDA
does not have.
Rather than try to implement it, we simply remove these functions --
nvcc doesn't support them either, and nextafter, which does work, does
essentially the same thing on GPUs, because GPUs don't have long double.
Reviewers: tra
Subscribers: cfe-commits, sanjoy
Differential Revision: https://reviews.llvm.org/D40152
llvm-svn: 318494
Summary:
Currently we declare our inline __device__ math functions in namespace
std. But libstdc++ and libc++ declare these functions in an inline
namespace inside namespace std. We need to match this because, in a
later patch, we want to get e.g. <complex> to use our device overloads,
and it only will if those overloads are in the right inline namespace.
Reviewers: tra
Subscribers: cfe-commits, jhen
Differential Revision: https://reviews.llvm.org/D24977
llvm-svn: 283678
Summary:
We need to add a bunch more "using"s, which weren't necessary with
libstdc++.
Once this is in I can check in a test to the test-suite.
Reviewers: tra
Subscribers: cfe-commits
Differential Revision: https://reviews.llvm.org/D24588
llvm-svn: 281544
Summary:
A bunch of related changes here to our CUDA math headers.
- The second arg to nexttoward is a double (well, technically, long
double, but we don't have that), not a float.
- Add a forward-declare of llround(float), which is defined in the CUDA
headers. We need this for the same reason we need most of the other
forward-declares: To prevent a constexpr function in our standard
library from becoming host+device.
- Add nexttowardf implementation.
- Pull "foobarf" functions defined by the CUDA headers in the global
namespace into namespace std. This lets you do e.g. std::sinf.
- Add overloads for math functions accepting integer types. This lets
you do e.g. std::sin(0) without having an ambiguity between the
overload that takes a float and the one that takes a double.
With these changes, we pass testcases derived from libc++ for cmath and
math.h. We can check these testcases in to the test-suite once support
for CUDA lands there.
Reviewers: tra
Subscribers: cfe-commits
Differential Revision: https://reviews.llvm.org/D23627
llvm-svn: 279140
Summary:
See comments in patch; we were assuming that some stdlib math functions
would be defined in namespace std, when in fact the spec says they
should be defined in the global namespace. libstdc++4.9 became more
conforming and broke us.
This new implementation seems to cover the known knowns.
Reviewers: rsmith
Subscribers: cfe-commits, tra
Differential Revision: http://reviews.llvm.org/D18882
llvm-svn: 265751
CUDA expects math functions in std:: namespace to work on device side.
In order to make it work with clang without allowing device-side code
generation for functions w/o appropriate target attributes, this patch
provides device-side implementations for <cmath> functions. Most of
them call global-scope math functions provided by CUDA headers. In few
cases we use clang builtins.
Tested out-of tree by compiling and running thrust's unit_tests.
https://github.com/thrust/thrust/tree/master/testing
Differential Revision: http://reviews.llvm.org/D16593
llvm-svn: 258880
Johannes Doerfert