if(WIN32 AND NOT MSVC) message(STATUS "CUDA compilation is disabled (due to only Visual Studio compiler supported on your platform).") return() endif() if(NOT UNIX AND CV_CLANG) message(STATUS "CUDA compilation is disabled (due to Clang unsupported on your platform).") return() endif() if(((NOT CMAKE_VERSION VERSION_LESS "3.9.0") # requires https://gitlab.kitware.com/cmake/cmake/merge_requests/663 OR OPENCV_CUDA_FORCE_EXTERNAL_CMAKE_MODULE) AND NOT OPENCV_CUDA_FORCE_BUILTIN_CMAKE_MODULE) ocv_update(CUDA_LINK_LIBRARIES_KEYWORD "PRIVATE") find_host_package(CUDA "${MIN_VER_CUDA}" QUIET) else() # Use OpenCV's patched "FindCUDA" module set(CMAKE_MODULE_PATH "${OpenCV_SOURCE_DIR}/cmake" ${CMAKE_MODULE_PATH}) if(ANDROID) set(CUDA_TARGET_OS_VARIANT "Android") endif() find_host_package(CUDA "${MIN_VER_CUDA}" QUIET) list(REMOVE_AT CMAKE_MODULE_PATH 0) endif() if(CUDA_FOUND) set(HAVE_CUDA 1) if(WITH_CUFFT) set(HAVE_CUFFT 1) endif() if(WITH_CUBLAS) set(HAVE_CUBLAS 1) endif() if(WITH_CUDNN) set(CMAKE_MODULE_PATH "${OpenCV_SOURCE_DIR}/cmake" ${CMAKE_MODULE_PATH}) find_host_package(CUDNN "${MIN_VER_CUDNN}") list(REMOVE_AT CMAKE_MODULE_PATH 0) if(CUDNN_FOUND) set(HAVE_CUDNN 1) endif() endif() if(WITH_NVCUVID) macro(SEARCH_NVCUVID_HEADER _filename _result) # place header file under CUDA_TOOLKIT_TARGET_DIR or CUDA_TOOLKIT_ROOT_DIR find_path(_header_result ${_filename} PATHS "${CUDA_TOOLKIT_TARGET_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}" ENV CUDA_PATH ENV CUDA_INC_PATH PATH_SUFFIXES include NO_DEFAULT_PATH ) if("x${_header_result}" STREQUAL "x_header_result-NOTFOUND") set(${_result} 0) else() set(${_result} 1) endif() unset(_header_result CACHE) endmacro() SEARCH_NVCUVID_HEADER("nvcuvid.h" HAVE_NVCUVID_HEADER) SEARCH_NVCUVID_HEADER("dynlink_nvcuvid.h" HAVE_DYNLINK_NVCUVID_HEADER) find_cuda_helper_libs(nvcuvid) if(WIN32) find_cuda_helper_libs(nvcuvenc) endif() if(CUDA_nvcuvid_LIBRARY AND (${HAVE_NVCUVID_HEADER} OR ${HAVE_DYNLINK_NVCUVID_HEADER})) # make sure to have both header and library before enabling set(HAVE_NVCUVID 1) endif() if(CUDA_nvcuvenc_LIBRARY) set(HAVE_NVCUVENC 1) endif() endif() message(STATUS "CUDA detected: " ${CUDA_VERSION}) set(_generations "Fermi" "Kepler" "Maxwell" "Pascal" "Volta" "Turing" "Ampere") set(_arch_fermi "2.0") set(_arch_kepler "3.0;3.5;3.7") set(_arch_maxwell "5.0;5.2") set(_arch_pascal "6.0;6.1") set(_arch_volta "7.0") set(_arch_turing "7.5") set(_arch_ampere "8.0") if(NOT CMAKE_CROSSCOMPILING) list(APPEND _generations "Auto") endif() set(CUDA_GENERATION "" CACHE STRING "Build CUDA device code only for specific GPU architecture. Leave empty to build for all architectures.") if( CMAKE_VERSION VERSION_GREATER "2.8" ) set_property( CACHE CUDA_GENERATION PROPERTY STRINGS "" ${_generations} ) endif() if(CUDA_GENERATION) if(NOT ";${_generations};" MATCHES ";${CUDA_GENERATION};") string(REPLACE ";" ", " _generations "${_generations}") message(FATAL_ERROR "ERROR: ${_generations} Generations are suppered.") endif() unset(CUDA_ARCH_BIN CACHE) unset(CUDA_ARCH_PTX CACHE) endif() if(CUDA_HOST_COMPILER) LIST(APPEND CUDA_NVCC_FLAGS -ccbin ${CUDA_HOST_COMPILER}) else() if(WIN32 AND CMAKE_LINKER) #Workaround for VS cl.exe not being in the env. path get_filename_component(host_compiler_bindir ${CMAKE_LINKER} DIRECTORY) LIST(APPEND CUDA_NVCC_FLAGS -ccbin ${host_compiler_bindir}) endif() endif() SET(DETECT_ARCHS_COMMAND "${CUDA_NVCC_EXECUTABLE}" ${CUDA_NVCC_FLAGS} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" "--run") macro(ocv_filter_available_architecture result_list) if(DEFINED CUDA_SUPPORTED_CC) set(${result_list} "${CUDA_SUPPORTED_CC}") else() set(CC_LIST ${ARGN}) foreach(target_arch ${CC_LIST}) string(REPLACE "." "" target_arch_short "${target_arch}") set(NVCC_OPTION "-gencode;arch=compute_${target_arch_short},code=sm_${target_arch_short}") execute_process( COMMAND "${CUDA_NVCC_EXECUTABLE}" ${NVCC_OPTION} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/" RESULT_VARIABLE _nvcc_res OUTPUT_VARIABLE _nvcc_out ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE) if(_nvcc_res EQUAL 0) set(${result_list} "${${result_list}} ${target_arch}") endif() endforeach() string(STRIP "${${result_list}}" ${result_list}) set(CUDA_SUPPORTED_CC ${${result_list}} CACHE INTERNAL "List of supported compute capability") endif() endmacro() macro(ocv_detect_native_cuda_arch status output) execute_process( COMMAND ${DETECT_ARCHS_COMMAND} WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/" RESULT_VARIABLE ${status} OUTPUT_VARIABLE _nvcc_out ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE) string(REGEX REPLACE ".*\n" "" ${output} "${_nvcc_out}") #Strip leading warning messages, if any endmacro() macro(ocv_wipeout_deprecated _arch_bin_list) string(REPLACE "2.1" "2.1(2.0)" ${_arch_bin_list} "${${_arch_bin_list}}") endmacro() set(__cuda_arch_ptx "") if(CUDA_GENERATION STREQUAL "Fermi") set(__cuda_arch_bin ${_arch_fermi}) elseif(CUDA_GENERATION STREQUAL "Kepler") set(__cuda_arch_bin ${_arch_kepler}) elseif(CUDA_GENERATION STREQUAL "Maxwell") set(__cuda_arch_bin ${_arch_maxwell}) elseif(CUDA_GENERATION STREQUAL "Pascal") set(__cuda_arch_bin ${_arch_pascal}) elseif(CUDA_GENERATION STREQUAL "Volta") set(__cuda_arch_bin ${_arch_volta}) elseif(CUDA_GENERATION STREQUAL "Turing") set(__cuda_arch_bin ${_arch_turing}) elseif(CUDA_GENERATION STREQUAL "Ampere") set(__cuda_arch_bin ${_arch_ampere}) elseif(CUDA_GENERATION STREQUAL "Auto") ocv_detect_native_cuda_arch(_nvcc_res _nvcc_out) if(NOT _nvcc_res EQUAL 0) message(STATUS "Automatic detection of CUDA generation failed. Going to build for all known architectures.") else() string(REGEX MATCHALL "[0-9]+\\.[0-9]" __cuda_arch_bin "${_nvcc_out}") endif() endif() if(NOT DEFINED __cuda_arch_bin) if(ARM) set(__cuda_arch_bin "3.2") set(__cuda_arch_ptx "") elseif(AARCH64) ocv_detect_native_cuda_arch(_nvcc_res _nvcc_out) if(NOT _nvcc_res EQUAL 0) message(STATUS "Automatic detection of CUDA generation failed. Going to build for all known architectures.") # TX1 (5.3) TX2 (6.2) Xavier (7.2) V100 (7.0) ocv_filter_available_architecture(__cuda_arch_bin 5.3 6.2 7.2 7.0 ) else() set(__cuda_arch_bin "${_nvcc_out}") endif() set(__cuda_arch_ptx "") else() ocv_filter_available_architecture(__cuda_arch_bin ${_arch_fermi} ${_arch_kepler} ${_arch_maxwell} ${_arch_pascal} ${_arch_volta} ${_arch_turing} ${_arch_ampere} ) endif() endif() ocv_wipeout_deprecated(__cuda_arch_bin) set(CUDA_ARCH_BIN ${__cuda_arch_bin} CACHE STRING "Specify 'real' GPU architectures to build binaries for, BIN(PTX) format is supported") set(CUDA_ARCH_PTX ${__cuda_arch_ptx} CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for") string(REGEX REPLACE "\\." "" ARCH_BIN_NO_POINTS "${CUDA_ARCH_BIN}") string(REGEX REPLACE "\\." "" ARCH_PTX_NO_POINTS "${CUDA_ARCH_PTX}") # Ckeck if user specified 1.0 compute capability: we don't support it string(REGEX MATCH "1.0" HAS_ARCH_10 "${CUDA_ARCH_BIN} ${CUDA_ARCH_PTX}") set(CUDA_ARCH_BIN_OR_PTX_10 0) if(NOT ${HAS_ARCH_10} STREQUAL "") set(CUDA_ARCH_BIN_OR_PTX_10 1) endif() # NVCC flags to be set set(NVCC_FLAGS_EXTRA "") # These vars will be passed into the templates set(OPENCV_CUDA_ARCH_BIN "") set(OPENCV_CUDA_ARCH_PTX "") set(OPENCV_CUDA_ARCH_FEATURES "") # Tell NVCC to add binaries for the specified GPUs string(REGEX MATCHALL "[0-9()]+" ARCH_LIST "${ARCH_BIN_NO_POINTS}") foreach(ARCH IN LISTS ARCH_LIST) if(ARCH MATCHES "([0-9]+)\\(([0-9]+)\\)") # User explicitly specified PTX for the concrete BIN set(NVCC_FLAGS_EXTRA ${NVCC_FLAGS_EXTRA} -gencode arch=compute_${CMAKE_MATCH_2},code=sm_${CMAKE_MATCH_1}) set(OPENCV_CUDA_ARCH_BIN "${OPENCV_CUDA_ARCH_BIN} ${CMAKE_MATCH_1}") set(OPENCV_CUDA_ARCH_FEATURES "${OPENCV_CUDA_ARCH_FEATURES} ${CMAKE_MATCH_2}") else() # User didn't explicitly specify PTX for the concrete BIN, we assume PTX=BIN set(NVCC_FLAGS_EXTRA ${NVCC_FLAGS_EXTRA} -gencode arch=compute_${ARCH},code=sm_${ARCH}) set(OPENCV_CUDA_ARCH_BIN "${OPENCV_CUDA_ARCH_BIN} ${ARCH}") set(OPENCV_CUDA_ARCH_FEATURES "${OPENCV_CUDA_ARCH_FEATURES} ${ARCH}") endif() endforeach() set(NVCC_FLAGS_EXTRA ${NVCC_FLAGS_EXTRA} -D_FORCE_INLINES) # Tell NVCC to add PTX intermediate code for the specified architectures string(REGEX MATCHALL "[0-9]+" ARCH_LIST "${ARCH_PTX_NO_POINTS}") foreach(ARCH IN LISTS ARCH_LIST) set(NVCC_FLAGS_EXTRA ${NVCC_FLAGS_EXTRA} -gencode arch=compute_${ARCH},code=compute_${ARCH}) set(OPENCV_CUDA_ARCH_PTX "${OPENCV_CUDA_ARCH_PTX} ${ARCH}") set(OPENCV_CUDA_ARCH_FEATURES "${OPENCV_CUDA_ARCH_FEATURES} ${ARCH}") endforeach() # These vars will be processed in other scripts set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} ${NVCC_FLAGS_EXTRA}) set(OpenCV_CUDA_CC "${NVCC_FLAGS_EXTRA}") if(ANDROID) set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} "-Xptxas;-dlcm=ca") endif() message(STATUS "CUDA NVCC target flags: ${CUDA_NVCC_FLAGS}") OCV_OPTION(CUDA_FAST_MATH "Enable --use_fast_math for CUDA compiler " OFF) if(CUDA_FAST_MATH) set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} --use_fast_math) endif() mark_as_advanced(CUDA_BUILD_CUBIN CUDA_BUILD_EMULATION CUDA_VERBOSE_BUILD CUDA_SDK_ROOT_DIR) macro(ocv_cuda_filter_options) foreach(var CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG) set(${var}_backup_in_cuda_compile_ "${${var}}") if (CV_CLANG) # we remove -Winconsistent-missing-override and -Qunused-arguments # just in case we are compiling CUDA with gcc but OpenCV with clang string(REPLACE "-Winconsistent-missing-override" "" ${var} "${${var}}") string(REPLACE "-Qunused-arguments" "" ${var} "${${var}}") endif() # we remove /EHa as it generates warnings under windows string(REPLACE "/EHa" "" ${var} "${${var}}") # we remove -ggdb3 flag as it leads to preprocessor errors when compiling CUDA files (CUDA 4.1) string(REPLACE "-ggdb3" "" ${var} "${${var}}") # we remove -Wsign-promo as it generates warnings under linux string(REPLACE "-Wsign-promo" "" ${var} "${${var}}") # we remove -Wno-sign-promo as it generates warnings under linux string(REPLACE "-Wno-sign-promo" "" ${var} "${${var}}") # we remove -Wno-delete-non-virtual-dtor because it's used for C++ compiler # but NVCC uses C compiler by default string(REPLACE "-Wno-delete-non-virtual-dtor" "" ${var} "${${var}}") # we remove -frtti because it's used for C++ compiler # but NVCC uses C compiler by default string(REPLACE "-frtti" "" ${var} "${${var}}") string(REPLACE "-fvisibility-inlines-hidden" "" ${var} "${${var}}") # cc1: warning: command line option '-Wsuggest-override' is valid for C++/ObjC++ but not for C string(REPLACE "-Wsuggest-override" "" ${var} "${${var}}") # issue: #11552 (from OpenCVCompilerOptions.cmake) string(REGEX REPLACE "-Wimplicit-fallthrough(=[0-9]+)? " "" ${var} "${${var}}") # removal of custom specified options if(OPENCV_CUDA_NVCC_FILTEROUT_OPTIONS) foreach(__flag ${OPENCV_CUDA_NVCC_FILTEROUT_OPTIONS}) string(REPLACE "${__flag}" "" ${var} "${${var}}") endforeach() endif() endforeach() endmacro() macro(ocv_cuda_compile VAR) ocv_cuda_filter_options() if(BUILD_SHARED_LIBS) set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -Xcompiler -DCVAPI_EXPORTS) endif() if(UNIX OR APPLE) set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -Xcompiler -fPIC --std=c++11) endif() if(APPLE) set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -Xcompiler -fno-finite-math-only) endif() if(CMAKE_CROSSCOMPILING AND (ARM OR AARCH64)) set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -Xlinker --unresolved-symbols=ignore-in-shared-libs) endif() # disabled because of multiple warnings during building nvcc auto generated files if(CV_GCC AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER "4.6.0") ocv_warnings_disable(CMAKE_CXX_FLAGS -Wunused-but-set-variable) endif() CUDA_COMPILE(${VAR} ${ARGN}) foreach(var CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG) set(${var} "${${var}_backup_in_cuda_compile_}") unset(${var}_backup_in_cuda_compile_) endforeach() endmacro() else() unset(CUDA_ARCH_BIN CACHE) unset(CUDA_ARCH_PTX CACHE) endif() if(HAVE_CUDA) set(CUDA_LIBS_PATH "") foreach(p ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY}) get_filename_component(_tmp ${p} PATH) list(APPEND CUDA_LIBS_PATH ${_tmp}) endforeach() if(HAVE_CUBLAS) foreach(p ${CUDA_cublas_LIBRARY}) get_filename_component(_tmp ${p} PATH) list(APPEND CUDA_LIBS_PATH ${_tmp}) endforeach() endif() if(HAVE_CUDNN) foreach(p ${CUDNN_LIBRARIES}) get_filename_component(_tmp ${p} PATH) list(APPEND CUDA_LIBS_PATH ${_tmp}) endforeach() endif() if(HAVE_CUFFT) foreach(p ${CUDA_cufft_LIBRARY}) get_filename_component(_tmp ${p} PATH) list(APPEND CUDA_LIBS_PATH ${_tmp}) endforeach() endif() list(REMOVE_DUPLICATES CUDA_LIBS_PATH) link_directories(${CUDA_LIBS_PATH}) set(CUDA_LIBRARIES_ABS ${CUDA_LIBRARIES}) ocv_convert_to_lib_name(CUDA_LIBRARIES ${CUDA_LIBRARIES}) set(CUDA_npp_LIBRARY_ABS ${CUDA_npp_LIBRARY}) ocv_convert_to_lib_name(CUDA_npp_LIBRARY ${CUDA_npp_LIBRARY}) if(HAVE_CUBLAS) set(CUDA_cublas_LIBRARY_ABS ${CUDA_cublas_LIBRARY}) ocv_convert_to_lib_name(CUDA_cublas_LIBRARY ${CUDA_cublas_LIBRARY}) endif() if(HAVE_CUDNN) set(CUDNN_LIBRARIES_ABS ${CUDNN_LIBRARIES}) ocv_convert_to_lib_name(CUDNN_LIBRARIES ${CUDNN_LIBRARIES}) endif() if(HAVE_CUFFT) set(CUDA_cufft_LIBRARY_ABS ${CUDA_cufft_LIBRARY}) ocv_convert_to_lib_name(CUDA_cufft_LIBRARY ${CUDA_cufft_LIBRARY}) endif() endif() # ---------------------------------------------------------------------------- # Add CUDA libraries (needed for apps/tools, samples) # ---------------------------------------------------------------------------- if(HAVE_CUDA) # details: https://github.com/NVIDIA/nvidia-docker/issues/775 if(" ${CUDA_CUDA_LIBRARY}" MATCHES "/stubs/libcuda.so" AND NOT OPENCV_SKIP_CUDA_STUB_WORKAROUND) set(CUDA_STUB_ENABLED_LINK_WORKAROUND 1) if(EXISTS "${CUDA_CUDA_LIBRARY}" AND NOT OPENCV_SKIP_CUDA_STUB_WORKAROUND_RPATH_LINK) set(CUDA_STUB_TARGET_PATH "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/") execute_process(COMMAND ${CMAKE_COMMAND} -E create_symlink "${CUDA_CUDA_LIBRARY}" "${CUDA_STUB_TARGET_PATH}/libcuda.so.1" RESULT_VARIABLE CUDA_STUB_SYMLINK_RESULT) if(NOT CUDA_STUB_SYMLINK_RESULT EQUAL 0) execute_process(COMMAND ${CMAKE_COMMAND} -E copy_if_different "${CUDA_CUDA_LIBRARY}" "${CUDA_STUB_TARGET_PATH}/libcuda.so.1" RESULT_VARIABLE CUDA_STUB_COPY_RESULT) if(NOT CUDA_STUB_COPY_RESULT EQUAL 0) set(CUDA_STUB_ENABLED_LINK_WORKAROUND 0) endif() endif() if(CUDA_STUB_ENABLED_LINK_WORKAROUND) set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,-rpath-link,\"${CUDA_STUB_TARGET_PATH}\"") endif() else() set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,--allow-shlib-undefined") endif() if(NOT CUDA_STUB_ENABLED_LINK_WORKAROUND) message(WARNING "CUDA: workaround for stubs/libcuda.so.1 is not applied") endif() endif() set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY}) if(HAVE_CUBLAS) set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cublas_LIBRARY}) endif() if(HAVE_CUDNN) set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDNN_LIBRARIES}) endif() if(HAVE_CUFFT) set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cufft_LIBRARY}) endif() foreach(p ${CUDA_LIBS_PATH}) if(MSVC AND CMAKE_GENERATOR MATCHES "Ninja|JOM") set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CMAKE_LIBRARY_PATH_FLAG}"${p}") else() set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CMAKE_LIBRARY_PATH_FLAG}${p}) endif() endforeach() endif()