Editing: CMakeDetermineCUDACompiler.cmake

# Distributed under the OSI-approved BSD 3-Clause License. See accompanying # file Copyright.txt or https://cmake.org/licensing for details. include(${CMAKE_ROOT}/Modules/CMakeDetermineCompiler.cmake) include(${CMAKE_ROOT}/Modules/CMakeParseImplicitLinkInfo.cmake) if( NOT ( ("${CMAKE_GENERATOR}" MATCHES "Make") OR ("${CMAKE_GENERATOR}" MATCHES "Ninja") OR ("${CMAKE_GENERATOR}" MATCHES "Visual Studio (1|[9][0-9])") ) ) message(FATAL_ERROR "CUDA language not currently supported by \"${CMAKE_GENERATOR}\" generator") endif() if(${CMAKE_GENERATOR} MATCHES "Visual Studio") if(DEFINED ENV{CUDAHOSTCXX} OR DEFINED CMAKE_CUDA_HOST_COMPILER) message(WARNING "Visual Studio does not support specifying CUDAHOSTCXX or CMAKE_CUDA_HOST_COMPILER. Using the C++ compiler provided by Visual Studio.") endif() else() if(NOT CMAKE_CUDA_COMPILER) set(CMAKE_CUDA_COMPILER_INIT NOTFOUND) # prefer the environment variable CUDACXX if(NOT $ENV{CUDACXX} STREQUAL "") get_filename_component(CMAKE_CUDA_COMPILER_INIT $ENV{CUDACXX} PROGRAM PROGRAM_ARGS CMAKE_CUDA_FLAGS_ENV_INIT) if(CMAKE_CUDA_FLAGS_ENV_INIT) set(CMAKE_CUDA_COMPILER_ARG1 "${CMAKE_CUDA_FLAGS_ENV_INIT}" CACHE STRING "Arguments to CUDA compiler") endif() if(NOT EXISTS ${CMAKE_CUDA_COMPILER_INIT}) message(FATAL_ERROR "Could not find compiler set in environment variable CUDACXX:\n$ENV{CUDACXX}.\n${CMAKE_CUDA_COMPILER_INIT}") endif() endif() # finally list compilers to try if(NOT CMAKE_CUDA_COMPILER_INIT) set(CMAKE_CUDA_COMPILER_LIST nvcc) endif() set(_CMAKE_CUDA_COMPILER_PATHS "$ENV{CUDA_PATH}/bin") _cmake_find_compiler(CUDA) unset(_CMAKE_CUDA_COMPILER_PATHS) else() _cmake_find_compiler_path(CUDA) endif() mark_as_advanced(CMAKE_CUDA_COMPILER) #Allow the user to specify a host compiler except for Visual Studio if(NOT $ENV{CUDAHOSTCXX} STREQUAL "") get_filename_component(CMAKE_CUDA_HOST_COMPILER $ENV{CUDAHOSTCXX} PROGRAM) if(NOT EXISTS ${CMAKE_CUDA_HOST_COMPILER}) message(FATAL_ERROR "Could not find compiler set in environment variable CUDAHOSTCXX:\n$ENV{CUDAHOSTCXX}.\n${CMAKE_CUDA_HOST_COMPILER}") endif() endif() endif() if(NOT "$ENV{CUDAARCHS}" STREQUAL "") set(CMAKE_CUDA_ARCHITECTURES "$ENV{CUDAARCHS}" CACHE STRING "CUDA architectures") endif() # Build a small source file to identify the compiler. if(NOT CMAKE_CUDA_COMPILER_ID_RUN) set(CMAKE_CUDA_COMPILER_ID_RUN 1) include(${CMAKE_ROOT}/Modules/CMakeDetermineCompilerId.cmake) if(${CMAKE_GENERATOR} MATCHES "Visual Studio") # We will not know CMAKE_CUDA_COMPILER until the main compiler id step # below extracts it, but we do know that the compiler id will be NVIDIA. set(CMAKE_CUDA_COMPILER_ID "NVIDIA") else() # We determine the vendor to help with find the toolkit and use the right flags for detection right away. # The main compiler identification is still needed below to extract other information. list(APPEND CMAKE_CUDA_COMPILER_ID_VENDORS NVIDIA Clang) set(CMAKE_CUDA_COMPILER_ID_VENDOR_REGEX_NVIDIA "nvcc: NVIDIA \\(R\\) Cuda compiler driver") set(CMAKE_CUDA_COMPILER_ID_VENDOR_REGEX_Clang "(clang version)") CMAKE_DETERMINE_COMPILER_ID_VENDOR(CUDA "--version") if(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang" AND WIN32) message(FATAL_ERROR "Clang with CUDA is not yet supported on Windows. See CMake issue #20776.") endif() # Find the CUDA toolkit. We store the CMAKE_CUDA_COMPILER_TOOLKIT_ROOT, CMAKE_CUDA_COMPILER_TOOLKIT_VERSION and # CMAKE_CUDA_COMPILER_LIBRARY_ROOT in CMakeCUDACompiler.cmake so FindCUDAToolkit can avoid searching on future # runs and the toolkit is the same. # This is very similar to FindCUDAToolkit, but somewhat simplified since we can issue fatal errors # if we fail and we don't need to account for searching the libraries. # For NVCC we can easily deduce the SDK binary directory from the compiler path. if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA") set(_CUDA_NVCC_EXECUTABLE "${CMAKE_CUDA_COMPILER}") else() # Search using CUDAToolkit_ROOT and then CUDA_PATH for equivalence with FindCUDAToolkit. # In FindCUDAToolkit CUDAToolkit_ROOT is searched automatically due to being in a find_package(). # First we search candidate non-default paths to give them priority. find_program(_CUDA_NVCC_EXECUTABLE NAMES nvcc nvcc.exe PATHS ${CUDAToolkit_ROOT} ENV CUDAToolkit_ROOT ENV CUDA_PATH PATH_SUFFIXES bin NO_DEFAULT_PATH ) # If we didn't find NVCC, then try the default paths. find_program(_CUDA_NVCC_EXECUTABLE NAMES nvcc nvcc.exe PATH_SUFFIXES bin ) # If the user specified CUDAToolkit_ROOT but nvcc could not be found, this is an error. if(NOT _CUDA_NVCC_EXECUTABLE AND (DEFINED CUDAToolkit_ROOT OR DEFINED ENV{CUDAToolkit_ROOT})) set(fail_base "Could not find nvcc executable in path specified by") if(DEFINED CUDAToolkit_ROOT) message(FATAL_ERROR "${fail_base} CUDAToolkit_ROOT=${CUDAToolkit_ROOT}") elseif(DEFINED ENV{CUDAToolkit_ROOT}) message(FATAL_ERROR "${fail_base} environment variable CUDAToolkit_ROOT=$ENV{CUDAToolkit_ROOT}") endif() endif() # CUDAToolkit_ROOT cmake/env variable not specified, try platform defaults. # # - Linux: /usr/local/cuda-X.Y # - macOS: /Developer/NVIDIA/CUDA-X.Y # - Windows: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y # # We will also search the default symlink location /usr/local/cuda first since # if CUDAToolkit_ROOT is not specified, it is assumed that the symlinked # directory is the desired location. if(NOT _CUDA_NVCC_EXECUTABLE) if(UNIX) if(NOT APPLE) set(platform_base "/usr/local/cuda-") else() set(platform_base "/Developer/NVIDIA/CUDA-") endif() else() set(platform_base "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v") endif() # Build out a descending list of possible cuda installations, e.g. file(GLOB possible_paths "${platform_base}*") # Iterate the glob results and create a descending list. set(versions) foreach(p ${possible_paths}) # Extract version number from end of string string(REGEX MATCH "[0-9][0-9]?\\.[0-9]$" p_version ${p}) if(IS_DIRECTORY ${p} AND p_version) list(APPEND versions ${p_version}) endif() endforeach() # Sort numerically in descending order, so we try the newest versions first. list(SORT versions COMPARE NATURAL ORDER DESCENDING) # With a descending list of versions, populate possible paths to search. set(search_paths) foreach(v ${versions}) list(APPEND search_paths "${platform_base}${v}") endforeach() # Force the global default /usr/local/cuda to the front on Unix. if(UNIX) list(INSERT search_paths 0 "/usr/local/cuda") endif() # Now search for nvcc again using the platform default search paths. find_program(_CUDA_NVCC_EXECUTABLE NAMES nvcc nvcc.exe PATHS ${search_paths} PATH_SUFFIXES bin ) # We are done with these variables now, cleanup. unset(platform_base) unset(possible_paths) unset(versions) unset(search_paths) if(NOT _CUDA_NVCC_EXECUTABLE) message(FATAL_ERROR "Failed to find nvcc.\nCompiler ${CMAKE_CUDA_COMPILER_ID} requires the CUDA toolkit. Please set the CUDAToolkit_ROOT variable.") endif() endif() endif() # Given that NVCC can be provided by multiple different sources (NVIDIA HPC SDK, CUDA Toolkit, distro) # each of which has a different layout, we need to extract the CUDA toolkit root from the compiler # itself, allowing us to support numerous different scattered toolkit layouts execute_process(COMMAND ${_CUDA_NVCC_EXECUTABLE} "-v" "__cmake_determine_cuda" OUTPUT_VARIABLE _CUDA_NVCC_OUT ERROR_VARIABLE _CUDA_NVCC_OUT) if(_CUDA_NVCC_OUT MATCHES "\\#\\$ TOP=([^\r\n]*)") get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_MATCH_1}" ABSOLUTE) else() get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${_CUDA_NVCC_EXECUTABLE}" DIRECTORY) get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}" DIRECTORY) endif() if(_CUDA_NVCC_OUT MATCHES "\\#\\$ NVVMIR_LIBRARY_DIR=([^\r\n]*)") get_filename_component(_CUDA_NVVMIR_LIBRARY_DIR "${CMAKE_MATCH_1}" ABSOLUTE) #We require the path to end in `/nvvm/libdevice' if(_CUDA_NVVMIR_LIBRARY_DIR MATCHES "nvvm/libdevice$") get_filename_component(_CUDA_NVVMIR_LIBRARY_DIR "${_CUDA_NVVMIR_LIBRARY_DIR}/../.." ABSOLUTE) set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR "${_CUDA_NVVMIR_LIBRARY_DIR}") endif() unset(_CUDA_NVVMIR_LIBRARY_DIR) unset(_cuda_nvvmir_dir_name) endif() unset(_CUDA_NVCC_OUT) set(CMAKE_CUDA_DEVICE_LINKER "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/bin/nvlink${CMAKE_EXECUTABLE_SUFFIX}") set(CMAKE_CUDA_FATBINARY "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/bin/fatbinary${CMAKE_EXECUTABLE_SUFFIX}") # In a non-scattered installation the following are equivalent to CMAKE_CUDA_COMPILER_TOOLKIT_ROOT. # We first check for a non-scattered installation to prefer it over a scattered installation. # CMAKE_CUDA_COMPILER_LIBRARY_ROOT contains the device library. if(DEFINED CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR) set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR}") elseif(EXISTS "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/nvvm/libdevice") set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}") elseif(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/cuda/nvvm/libdevice") set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_SYSROOT_LINK}/usr/lib/cuda") elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/cuda/nvvm/libdevice") set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_SYSROOT}/usr/lib/cuda") else() message(FATAL_ERROR "Couldn't find CUDA library root.") endif() unset(CMAKE_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR) # CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT contains the linking stubs necessary for device linking and other low-level library files. if(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/nvidia-cuda-toolkit/bin/crt/link.stub") set(CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT "${CMAKE_SYSROOT_LINK}/usr/lib/nvidia-cuda-toolkit") elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/nvidia-cuda-toolkit/bin/crt/link.stub") set(CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT "${CMAKE_SYSROOT}/usr/lib/nvidia-cuda-toolkit") else() set(CMAKE_CUDA_COMPILER_TOOLKIT_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}") endif() endif() # For regular nvcc we the toolkit version is the same as the compiler version and we can parse it from the vendor test output. # For Clang we need to invoke nvcc to get version output. if(NOT CMAKE_GENERATOR MATCHES "Visual Studio") if(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang") execute_process(COMMAND ${_CUDA_NVCC_EXECUTABLE} "--version" OUTPUT_VARIABLE CMAKE_CUDA_COMPILER_ID_OUTPUT) endif() if(CMAKE_CUDA_COMPILER_ID_OUTPUT MATCHES [=[V([0-9]+\.[0-9]+\.[0-9]+)]=]) set(CMAKE_CUDA_COMPILER_TOOLKIT_VERSION "${CMAKE_MATCH_1}") endif() endif() set(CMAKE_CUDA_COMPILER_ID_FLAGS_ALWAYS "-v") if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA") set(nvcc_test_flags "--keep --keep-dir tmp") if(CMAKE_CUDA_HOST_COMPILER) string(APPEND nvcc_test_flags " -ccbin=\"${CMAKE_CUDA_HOST_COMPILER}\"") endif() # If we have extracted the vendor as NVIDIA we should require detection to # work. If we don't, users will get confusing errors later about failure # to detect a default value for CMAKE_CUDA_ARCHITECTURES set(CMAKE_CUDA_COMPILER_ID_REQUIRE_SUCCESS ON) elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang") set(clang_test_flags "--cuda-path=\"${CMAKE_CUDA_COMPILER_LIBRARY_ROOT}\"") if(CMAKE_CROSSCOMPILING) # Need to pass the host target and include directories if we're crosscompiling. string(APPEND clang_test_flags " --sysroot=\"${CMAKE_SYSROOT}\" --target=${CMAKE_CUDA_COMPILER_TARGET}") endif() endif() # Rest of the code treats an empty value as equivalent to "use the defaults". # Error out early to prevent confusing errors as a result of this. # Note that this also catches invalid non-numerical values such as "a". if(DEFINED CMAKE_CUDA_ARCHITECTURES) if(CMAKE_CUDA_ARCHITECTURES STREQUAL "") message(FATAL_ERROR "CMAKE_CUDA_ARCHITECTURES must be non-empty if set.") elseif(CMAKE_CUDA_ARCHITECTURES AND NOT CMAKE_CUDA_ARCHITECTURES MATCHES "^([0-9]+a?(-real|-virtual)?(;[0-9]+a?(-real|-virtual)?|;)*|all|all-major|native)$") message(FATAL_ERROR "CMAKE_CUDA_ARCHITECTURES:\n" " ${CMAKE_CUDA_ARCHITECTURES}\n" "is not one of the following:\n" " * a semicolon-separated list of integers, each optionally\n" " followed by '-real' or '-virtual'\n" " * a special value: all, all-major, native\n" ) endif() endif() if(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang") # Clang doesn't automatically select an architecture supported by the SDK. # Try in reverse order of deprecation with the most recent at front (i.e. the most likely to work for new setups). foreach(arch "52" "30" "20") list(APPEND CMAKE_CUDA_COMPILER_ID_TEST_FLAGS_FIRST "${clang_test_flags} --cuda-gpu-arch=sm_${arch}") endforeach() elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA") list(APPEND CMAKE_CUDA_COMPILER_ID_TEST_FLAGS_FIRST "${nvcc_test_flags}") endif() # We perform compiler identification for a second time to extract implicit linking info and host compiler for NVCC. # We need to unset the compiler ID otherwise CMAKE_DETERMINE_COMPILER_ID() doesn't work. set(CMAKE_CUDA_COMPILER_ID) set(CMAKE_CUDA_PLATFORM_ID) file(READ ${CMAKE_ROOT}/Modules/CMakePlatformId.h.in CMAKE_CUDA_COMPILER_ID_PLATFORM_CONTENT) CMAKE_DETERMINE_COMPILER_ID(CUDA CUDAFLAGS CMakeCUDACompilerId.cu) if(${CMAKE_GENERATOR} MATCHES "Visual Studio") # Now that we have the path to nvcc, we can compute the toolkit root. get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_CUDA_COMPILER}" DIRECTORY) get_filename_component(CMAKE_CUDA_COMPILER_TOOLKIT_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}" DIRECTORY) set(CMAKE_CUDA_COMPILER_LIBRARY_ROOT "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}") # The compiler comes with the toolkit, so the versions are the same. set(CMAKE_CUDA_COMPILER_TOOLKIT_VERSION ${CMAKE_CUDA_COMPILER_VERSION}) endif() include(${CMAKE_ROOT}/Modules/CUDA/architectures.cmake) _cmake_find_compiler_sysroot(CUDA) endif() set(_CMAKE_PROCESSING_LANGUAGE "CUDA") include(CMakeFindBinUtils) include(Compiler/${CMAKE_CUDA_COMPILER_ID}-FindBinUtils OPTIONAL) unset(_CMAKE_PROCESSING_LANGUAGE) if(MSVC_CUDA_ARCHITECTURE_ID) set(SET_MSVC_CUDA_ARCHITECTURE_ID "set(MSVC_CUDA_ARCHITECTURE_ID ${MSVC_CUDA_ARCHITECTURE_ID})") endif() if(${CMAKE_GENERATOR} MATCHES "Visual Studio") set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${CMAKE_LINKER}") set(CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES "") set(CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES "") set(CMAKE_CUDA_HOST_IMPLICIT_LINK_FRAMEWORK_DIRECTORIES "") # We do not currently detect CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES but we # do need to detect CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT from the compiler by # looking at which cudart library exists in the implicit link libraries passed # to the host linker. if(CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT MATCHES "link\\.exe [^\n]*cudart_static\\.lib") set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "STATIC") elseif(CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT MATCHES "link\\.exe [^\n]*cudart\\.lib") set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "SHARED") else() set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "NONE") endif() set(_SET_CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT \"${CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT}\")") elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "Clang") string(REGEX MATCHALL "-target-cpu sm_([0-9]+)" target_cpus "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}") foreach(cpu ${target_cpus}) string(REGEX MATCH "-target-cpu sm_([0-9]+)" dont_care "${cpu}") list(APPEND architectures_detected "${CMAKE_MATCH_1}") endforeach() # Find target directory when crosscompiling. if(CMAKE_CROSSCOMPILING) if(CMAKE_SYSTEM_PROCESSOR STREQUAL "armv7-a") # Support for NVPACK set(_CUDA_TARGET_NAME "armv7-linux-androideabi") elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "arm") set(_CUDA_TARGET_NAME "armv7-linux-gnueabihf") elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64") if(ANDROID_ARCH_NAME STREQUAL "arm64") set(_CUDA_TARGET_NAME "aarch64-linux-androideabi") else() set(_CUDA_TARGET_NAME "aarch64-linux") endif() elseif(CMAKE_SYSTEM_PROCESSOR STREQUAL "x86_64") set(_CUDA_TARGET_NAME "x86_64-linux") endif() if(EXISTS "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/targets/${_CUDA_TARGET_NAME}") set(_CUDA_TARGET_DIR "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}/targets/${_CUDA_TARGET_NAME}") endif() endif() # If not already set we can simply use the toolkit root or it's a scattered installation. if(NOT _CUDA_TARGET_DIR) set(_CUDA_TARGET_DIR "${CMAKE_CUDA_COMPILER_TOOLKIT_ROOT}") endif() # We can't use find_library() yet at this point, so try a few guesses. if(EXISTS "${_CUDA_TARGET_DIR}/lib64") set(_CUDA_LIBRARY_DIR "${_CUDA_TARGET_DIR}/lib64") elseif(EXISTS "${_CUDA_TARGET_DIR}/lib/x64") set(_CUDA_LIBRARY_DIR "${_CUDA_TARGET_DIR}/lib/x64") elseif(EXISTS "${_CUDA_TARGET_DIR}/lib") set(_CUDA_LIBRARY_DIR "${_CUDA_TARGET_DIR}/lib") else() message(FATAL_ERROR "Unable to find _CUDA_LIBRARY_DIR based on _CUDA_TARGET_DIR=${_CUDA_TARGET_DIR}") endif() # _CUDA_TARGET_DIR always points to the directory containing the include directory. # On a scattered installation /usr, on a non-scattered something like /usr/local/cuda or /usr/local/cuda-10.2/targets/aarch64-linux. if(EXISTS "${_CUDA_TARGET_DIR}/include/cuda_runtime.h") set(_CUDA_INCLUDE_DIR "${_CUDA_TARGET_DIR}/include") else() message(FATAL_ERROR "Unable to find cuda_runtime.h in \"${_CUDA_TARGET_DIR}/include\" for _CUDA_INCLUDE_DIR.") endif() # Clang does not add any CUDA SDK libraries or directories when invoking the host linker. # Add the CUDA toolkit library directory ourselves so that linking works. # The CUDA runtime libraries are handled elsewhere by CMAKE_CUDA_RUNTIME_LIBRARY. set(CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES "${_CUDA_INCLUDE_DIR}") set(CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES "${_CUDA_LIBRARY_DIR}") set(CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES "") set(CMAKE_CUDA_HOST_IMPLICIT_LINK_FRAMEWORK_DIRECTORIES "") elseif(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA") set(_nvcc_log "") string(REPLACE "\r" "" _nvcc_output_orig "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}") if(_nvcc_output_orig MATCHES "#\\\$ +PATH= *([^\n]*)\n") set(_nvcc_path "${CMAKE_MATCH_1}") string(APPEND _nvcc_log " found 'PATH=' string: [${_nvcc_path}]\n") string(REPLACE ":" ";" _nvcc_path "${_nvcc_path}") else() set(_nvcc_path "") string(REPLACE "\n" "\n " _nvcc_output_log "\n${_nvcc_output_orig}") string(APPEND _nvcc_log " no 'PATH=' string found in nvcc output:${_nvcc_output_log}\n") endif() if(_nvcc_output_orig MATCHES "#\\\$ +LIBRARIES= *([^\n]*)\n") set(_nvcc_libraries "${CMAKE_MATCH_1}") string(APPEND _nvcc_log " found 'LIBRARIES=' string: [${_nvcc_libraries}]\n") else() set(_nvcc_libraries "") string(REPLACE "\n" "\n " _nvcc_output_log "\n${_nvcc_output_orig}") string(APPEND _nvcc_log " no 'LIBRARIES=' string found in nvcc output:${_nvcc_output_log}\n") endif() set(_nvcc_link_line "") if(_nvcc_libraries) # Remove variable assignments. string(REGEX REPLACE "#\\\$ *[^= ]+=[^\n]*\n" "" _nvcc_output "${_nvcc_output_orig}") # Encode [] characters that break list expansion. string(REPLACE "[" "{==={" _nvcc_output "${_nvcc_output}") string(REPLACE "]" "}===}" _nvcc_output "${_nvcc_output}") # Split lines. string(REGEX REPLACE "\n+(#\\\$ )?" ";" _nvcc_output "${_nvcc_output}") foreach(line IN LISTS _nvcc_output) set(_nvcc_output_line "${line}") string(REPLACE "{==={" "[" _nvcc_output_line "${_nvcc_output_line}") string(REPLACE "}===}" "]" _nvcc_output_line "${_nvcc_output_line}") string(APPEND _nvcc_log " considering line: [${_nvcc_output_line}]\n") if("${_nvcc_output_line}" MATCHES "^ *nvlink") string(APPEND _nvcc_log " ignoring nvlink line\n") elseif(_nvcc_libraries) if("${_nvcc_output_line}" MATCHES "(@\"?((tmp/)?a\\.exe\\.res)\"?)") set(_nvcc_link_res_arg "${CMAKE_MATCH_1}") set(_nvcc_link_res_file "${CMAKE_MATCH_2}") set(_nvcc_link_res "${CMAKE_PLATFORM_INFO_DIR}/CompilerIdCUDA/${_nvcc_link_res_file}") if(EXISTS "${_nvcc_link_res}") file(READ "${_nvcc_link_res}" _nvcc_link_res_content) string(REPLACE "${_nvcc_link_res_arg}" "${_nvcc_link_res_content}" _nvcc_output_line "${_nvcc_output_line}") endif() endif() string(FIND "${_nvcc_output_line}" "${_nvcc_libraries}" _nvcc_libraries_pos) if(NOT _nvcc_libraries_pos EQUAL -1) set(_nvcc_link_line "${_nvcc_output_line}") string(APPEND _nvcc_log " extracted link line: [${_nvcc_link_line}]\n") endif() endif() endforeach() endif() if(_nvcc_link_line) if("x${CMAKE_CUDA_SIMULATE_ID}" STREQUAL "xMSVC") set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${CMAKE_LINKER}") else() #extract the compiler that is being used for linking separate_arguments(_nvcc_link_line_args UNIX_COMMAND "${_nvcc_link_line}") list(GET _nvcc_link_line_args 0 _nvcc_host_link_launcher) if(IS_ABSOLUTE "${_nvcc_host_link_launcher}") string(APPEND _nvcc_log " extracted link launcher absolute path: [${_nvcc_host_link_launcher}]\n") set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${_nvcc_host_link_launcher}") else() string(APPEND _nvcc_log " extracted link launcher name: [${_nvcc_host_link_launcher}]\n") find_program(_nvcc_find_host_link_launcher NAMES ${_nvcc_host_link_launcher} PATHS ${_nvcc_path} NO_DEFAULT_PATH) find_program(_nvcc_find_host_link_launcher NAMES ${_nvcc_host_link_launcher}) if(_nvcc_find_host_link_launcher) string(APPEND _nvcc_log " found link launcher absolute path: [${_nvcc_find_host_link_launcher}]\n") set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${_nvcc_find_host_link_launcher}") else() string(APPEND _nvcc_log " could not find link launcher absolute path\n") set(CMAKE_CUDA_HOST_LINK_LAUNCHER "${_nvcc_host_link_launcher}") endif() unset(_nvcc_find_host_link_launcher CACHE) endif() endif() #prefix the line with cuda-fake-ld so that implicit link info believes it is #a link line set(_nvcc_link_line "cuda-fake-ld ${_nvcc_link_line}") CMAKE_PARSE_IMPLICIT_LINK_INFO("${_nvcc_link_line}" CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES CMAKE_CUDA_HOST_IMPLICIT_LINK_DIRECTORIES CMAKE_CUDA_HOST_IMPLICIT_LINK_FRAMEWORK_DIRECTORIES log "${CMAKE_CUDA_IMPLICIT_OBJECT_REGEX}" LANGUAGE CUDA) # Detect CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT from the compiler by looking at which # cudart library exists in the implicit link libraries passed to the host linker. # This is required when a project sets the cuda runtime library as part of the # initial flags. if(";${CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES};" MATCHES [[;cudart_static(\.lib)?;]]) set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "STATIC") elseif(";${CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES};" MATCHES [[;cudart(\.lib)?;]]) set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "SHARED") else() set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "NONE") endif() set(_SET_CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT "set(CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT \"${CMAKE_CUDA_RUNTIME_LIBRARY_DEFAULT}\")") message(CONFIGURE_LOG "Parsed CUDA nvcc implicit link information:\n${_nvcc_log}\n${log}\n\n") else() message(CONFIGURE_LOG "Failed to parse CUDA nvcc implicit link information:\n${_nvcc_log}\n\n") message(FATAL_ERROR "Failed to extract nvcc implicit link line.") endif() endif() # CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES is detected above as the list of # libraries that the CUDA compiler implicitly passes to the host linker. # CMake invokes the host linker directly and so needs to pass these libraries. # We filter out those that should not be passed unconditionally both here # and from CMAKE_CUDA_IMPLICIT_LINK_LIBRARIES in CMakeTestCUDACompiler. set(CMAKE_CUDA_IMPLICIT_LINK_LIBRARIES_EXCLUDE # The CUDA runtime libraries are controlled by CMAKE_CUDA_RUNTIME_LIBRARY. cudart cudart.lib cudart_static cudart_static.lib cudadevrt cudadevrt.lib # Dependencies of the CUDA static runtime library on Linux hosts. rt pthread dl ) list(REMOVE_ITEM CMAKE_CUDA_HOST_IMPLICIT_LINK_LIBRARIES ${CMAKE_CUDA_IMPLICIT_LINK_LIBRARIES_EXCLUDE}) if(CMAKE_CUDA_COMPILER_SYSROOT) string(CONCAT _SET_CMAKE_CUDA_COMPILER_SYSROOT "set(CMAKE_CUDA_COMPILER_SYSROOT \"${CMAKE_CUDA_COMPILER_SYSROOT}\")\n" "set(CMAKE_COMPILER_SYSROOT \"${CMAKE_CUDA_COMPILER_SYSROOT}\")") else() set(_SET_CMAKE_CUDA_COMPILER_SYSROOT "") endif() # Determine CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA") set(CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES) string(REPLACE "\r" "" _nvcc_output_orig "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}") if(_nvcc_output_orig MATCHES "#\\\$ +INCLUDES= *([^\n]*)\n") set(_nvcc_includes "${CMAKE_MATCH_1}") string(APPEND _nvcc_log " found 'INCLUDES=' string: [${_nvcc_includes}]\n") else() set(_nvcc_includes "") string(REPLACE "\n" "\n " _nvcc_output_log "\n${_nvcc_output_orig}") string(APPEND _nvcc_log " no 'INCLUDES=' string found in nvcc output:${_nvcc_output_log}\n") endif() if(_nvcc_includes) # across all operating system each include directory is prefixed with -I separate_arguments(_nvcc_output NATIVE_COMMAND "${_nvcc_includes}") foreach(line IN LISTS _nvcc_output) string(REGEX REPLACE "^-I" "" line "${line}") get_filename_component(line "${line}" ABSOLUTE) list(APPEND CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES "${line}") endforeach() message(CONFIGURE_LOG "Parsed CUDA nvcc include information:\n${_nvcc_log}\n${log}\n\n") else() message(CONFIGURE_LOG "Failed to detect CUDA nvcc include information:\n${_nvcc_log}\n\n") endif() string(REGEX MATCHALL "-arch compute_([0-9]+)" target_cpus "${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}") foreach(cpu ${target_cpus}) string(REGEX MATCH "-arch compute_([0-9]+)" dont_care "${cpu}") list(APPEND architectures_detected "${CMAKE_MATCH_1}") endforeach() endif() # If the user didn't set the architectures, then set them to a default. # If the user did, then make sure those architectures worked. if("${CMAKE_CUDA_ARCHITECTURES}" STREQUAL "") cmake_policy(GET CMP0104 _CUDA_CMP0104) if(NOT CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA" OR _CUDA_CMP0104 STREQUAL "NEW") set(CMAKE_CUDA_ARCHITECTURES "${architectures_detected}" CACHE STRING "CUDA architectures") if(NOT CMAKE_CUDA_ARCHITECTURES) message(FATAL_ERROR "Failed to detect a default CUDA architecture.\n\nCompiler output:\n${CMAKE_CUDA_COMPILER_PRODUCED_OUTPUT}") endif() endif() endif() # configure all variables set in this file configure_file(${CMAKE_ROOT}/Modules/CMakeCUDACompiler.cmake.in ${CMAKE_PLATFORM_INFO_DIR}/CMakeCUDACompiler.cmake @ONLY ) # Don't leak variables unnecessarily to user code. unset(_CUDA_INCLUDE_DIR CACHE) unset(_CUDA_NVCC_EXECUTABLE CACHE) unset(_CUDA_LIBRARY_DIR) unset(_CUDA_TARGET_DIR) unset(_CUDA_TARGET_NAME) unset(architectures_detected) set(CMAKE_CUDA_COMPILER_ENV_VAR "CUDACXX") set(CMAKE_CUDA_HOST_COMPILER_ENV_VAR "CUDAHOSTCXX")

SIMPAN [ BATAL ]