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Make mixing incompatible host compiler/device compiler versions fail.
We experienced weired linker errors when using host compiler version for compilation that were not supported by the nvcc used to compile the cuda code: ``` [ 15%] Linking CXX executable bin/test_timer /usr/bin/ld: /home/mblatt/src/dune/opm-2.6/opm-common/opm-seq/lib/libopmcommon.a(Parser.cpp.o): in function `Opm::(anonymous namespace)::file& std::vector<Opm::(anonymous namespace)::file, std::allocator<Opm::(anonymous namespace)::file> >::emplace_back<std::filesystem::__cxx11::path&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&>(std::filesystem::__cxx11::path&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&)': Parser.cpp:(.text+0x1096): undefined reference to `std::filesystem::__cxx11::path::_M_split_cmpts()' /usr/bin/ld: Parser.cpp:(.text+0x10ad): undefined reference to `std::filesystem::__cxx11::path::_M_split_cmpts()' /usr/bin/ld: /home/mblatt/src/dune/opm-2.6/opm-common/opm-seq/lib/libopmcommon.a(Parser.cpp.o): in function `Opm::(anonymous namespace)::ParserState::loadFile(std::filesystem::__cxx11::path const&)': Parser.cpp:(.text+0x23a1): undefined reference to `std::filesystem::canonical(std::filesystem::__cxx11::path const&)' /usr/bin/ld: Parser.cpp:(.text+0x24e0): undefined reference to `std::filesystem::__cxx11::path::_M_split_cmpts()' ``` The reason turned out to be that the library path was build up by paths of the old (g++-7) compiler used by nvcc and the actual (newer) compiler g++-8. This completely messed up the linker paths for CMake. To detect this situation already when running cmake we have resorted to first setting the CMAKE_CUDA_FLAGS to force cmake to make nvcc use the host compiler and to activate CUDA (if available) before calling `find_package(CUDA)`. If the host compiler is not supported CMake will error out during `enable(CUDA)` Note that we still use (deprecated) FindCUDA later to determine the libraries to link to. The users has the option to either deactivate CUDA by setting `-DCMAKE_DISABLE_FIND_PACKAGE_CUDA=ON` or to use a compiler supported by nvcc (setting `-DCMAKE_CXX_COMPILER=compiler`). Additionally we do not try to activate CUDA the CMake version is < 3.8. Please note that previously CMake would have errored out here anyway since we used the unsupported `enable_language(CUDA)` even in this case. Closes #2363.
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@ -18,12 +18,37 @@ project(opm-simulators C CXX)
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cmake_minimum_required (VERSION 2.8)
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find_package(CUDA)
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# Make sure we are using the same compiler underneath
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# NVCC as for the rest. In the case that NVCC does not support
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# that compiler it will error out. Unfortunately this will only
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# work CMake >= 3.8. We found no way to make FindCUDA.cmake error
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# out. It seems to ignore CMAKE_NVCC_FLAGS and CMAKE. Additionally
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# our way of specifying cuda source files never worked for CMake
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# version < 3.8. Hence we deactivate cuda for these versions.
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if(NOT CMAKE_DISABLE_FIND_PACKAGE_CUDA AND
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CMAKE_VERSION VERSION_GREATER_EQUAL 3.8)
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if(NOT DEFINED ENV{CUDAHOSTCXX} AND
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(NOT CMAKE_CUDA_FLAGS OR NOT CMAKE_CUDA_FLAGS MATCHES ".*-ccbin .*"))
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set(CMAKE_CUDA_FLAGS "-ccbin ${CMAKE_CXX_COMPILER} ${CMAKE_CUDA_FLAGS}")
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endif()
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include(CheckLanguage)
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# Unfortunately check_language(CUDA) will only check whether there is
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# a nvcc compiler. It will not check whether compilation with the above
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# option works. Since the OPTIONAL flag of enable_language is currently
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# ignored CMake will error out below if the options do not work.
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check_language(CUDA)
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if(CMAKE_CUDA_COMPILER)
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enable_language(CUDA OPTIONAL)
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endif()
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# While the documentation says that it is deprecated, FindCUDA seems the
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# only easy way to determine the cublas and cusparse libraries.
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# Hence we call it unconditionally
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find_package(CUDA)
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endif()
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if(CUDA_FOUND)
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include_directories(${CUDA_INCLUDE_DIRS})
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enable_language(CUDA)
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set(HAVE_CUDA 1)
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include_directories(${CUDA_INCLUDE_DIRS})
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endif()
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option(SIBLING_SEARCH "Search for other modules in sibling directories?" ON)
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@ -320,7 +345,7 @@ endif()
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# must link libraries after target 'flow' has been defined
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if(CUDA_FOUND)
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target_link_libraries( opmsimulators ${CUDA_cublas_LIBRARY} )
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target_link_libraries( opmsimulators ${CUDA_cusparse_LIBRARY} )
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target_link_libraries( opmsimulators PUBLIC ${CUDA_cusparse_LIBRARY} )
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target_link_libraries( opmsimulators PUBLIC ${CUDA_cublas_LIBRARY} )
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endif()
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