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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-21 11:54:28 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-21 11:54:28 +0000
commite6918187568dbd01842d8d1d2c808ce16a894239 (patch)
tree64f88b554b444a49f656b6c656111a145cbbaa28 /src/fmt/test/cuda-test/CMakeLists.txt
parentInitial commit. (diff)
downloadceph-e6918187568dbd01842d8d1d2c808ce16a894239.tar.xz
ceph-e6918187568dbd01842d8d1d2c808ce16a894239.zip
Adding upstream version 18.2.2.upstream/18.2.2
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+# We can find some usecases which follow the guide of CMake which uses
+# `enable_language(CUDA)` instead of `find_package(CUDA)` and let the CMake
+# built-in functions use NVCC.
+
+# See: https://cmake.org/cmake/help/latest/module/FindCUDA.html#replacement
+#
+# However, this requires CMake version 3.10 or higher and we can't be sure most
+# of the CUDA projects are using those.
+#
+# This test relies on `find_package(CUDA)` in the parent CMake config.
+
+# These can be updated when NVCC becomes ready for C++ 17 features
+# https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#cpp14-language-features
+set(CMAKE_CUDA_STANDARD 14)
+set(CMAKE_CUDA_STANDARD_REQUIRED 14)
+
+# In this test, we assume that the user is going to compile CUDA source code
+# with some libraries (fmt in this case).
+#
+# In addition to that, this test invokes both the C++ host compiler and NVCC
+# by providing another (non-CUDA) C++ source code.
+if (${CMAKE_VERSION} VERSION_LESS 3.15)
+ # https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html
+ list(APPEND CUDA_NVCC_FLAGS "-std=c++14")
+ if (MSVC)
+ # This is the solution of pytorch:
+ # https://github.com/pytorch/pytorch/pull/7118
+ list(APPEND CUDA_NVCC_FLAGS "-Xcompiler" "/std:c++14")
+ list(APPEND CUDA_NVCC_FLAGS "-Xcompiler" "/Zc:__cplusplus")
+ # for the reason of this -Xcompiler options, see below.
+ endif ()
+ cuda_add_executable(fmt-in-cuda-test cuda-cpp14.cu cpp14.cc)
+ target_compile_features(fmt-in-cuda-test PRIVATE cxx_std_14)
+ if (MSVC)
+ # This part is for (non-CUDA) C++ code. MSVC can define incorrect
+ # `__cplusplus` macro. Fix for the issue is to use additional compiler flag.
+ #
+ # See Also:
+ # https://devblogs.microsoft.com/cppblog/msvc-now-correctly-reports-__cplusplus/
+ # https://github.com/Microsoft/vscode-cpptools/issues/2595
+ target_compile_options(fmt-in-cuda-test PRIVATE /Zc:__cplusplus /permissive-)
+ endif ()
+else()
+ # now using a "new" way of handling CUDA
+ add_executable(fmt-in-cuda-test cuda-cpp14.cu cpp14.cc)
+ set_target_properties(fmt-in-cuda-test PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
+ target_compile_features(fmt-in-cuda-test PRIVATE cxx_std_14)
+ if (MSVC)
+ # with MSVC, 'cxx_std_14' will only propagate to the host code (MSVC), but will
+ # not set __cplusplus correctly anyway, while nvcc will ignore it.
+ # If specified for nvcc on the command line as '-std=c++14' nvcc will emit this
+ # message instead:
+ # nvcc warning : The -std=c++14 flag is not supported with the configured host
+ # compiler. Flag will be ignored.
+ set_property(SOURCE cuda-cpp14.cu APPEND PROPERTY
+ COMPILE_OPTIONS -Xcompiler /std:c++14 -Xcompiler /Zc:__cplusplus)
+ set_property(SOURCE cpp14.cc APPEND PROPERTY
+ COMPILE_OPTIONS /std:c++14 /Zc:__cplusplus)
+ endif()
+endif()
+
+get_target_property(IN_USE_CUDA_STANDARD fmt-in-cuda-test CUDA_STANDARD)
+message(STATUS "cuda_standard: ${IN_USE_CUDA_STANDARD}")
+
+get_target_property(IN_USE_CUDA_STANDARD_REQUIRED
+ fmt-in-cuda-test CUDA_STANDARD_REQUIRED)
+message(STATUS "cuda_standard_required: ${IN_USE_CUDA_STANDARD_REQUIRED}")
+
+# We don't use PUBLIC or other keyword for reasons explained in the
+# CUDA_LINK_LIBRARIES_KEYWORD section in
+# https://cmake.org/cmake/help/latest/module/FindCUDA.html
+target_link_libraries(fmt-in-cuda-test fmt::fmt)
+