opencv/cmake/OpenCVDetectCUDA.cmake
2019-08-05 21:42:10 +05:30

389 lines
15 KiB
CMake

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 "LINK_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)
find_cuda_helper_libs(nvcuvid)
if(WIN32)
find_cuda_helper_libs(nvcuvenc)
endif()
if(CUDA_nvcuvid_LIBRARY)
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")
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: ${_generations} Generations are suppered.")
endif()
unset(CUDA_ARCH_BIN CACHE)
unset(CUDA_ARCH_PTX CACHE)
endif()
SET(DETECT_ARCHS_COMMAND "${CUDA_NVCC_EXECUTABLE}" ${CUDA_NVCC_FLAGS} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" "--run")
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)
SET(DETECT_ARCHS_COMMAND ${DETECT_ARCHS_COMMAND} "-ccbin" "${host_compiler_bindir}")
endif()
set(__cuda_arch_ptx "")
if(CUDA_GENERATION STREQUAL "Fermi")
set(__cuda_arch_bin "2.0")
elseif(CUDA_GENERATION STREQUAL "Kepler")
set(__cuda_arch_bin "3.0 3.5 3.7")
elseif(CUDA_GENERATION STREQUAL "Maxwell")
set(__cuda_arch_bin "5.0 5.2")
elseif(CUDA_GENERATION STREQUAL "Pascal")
set(__cuda_arch_bin "6.0 6.1")
elseif(CUDA_GENERATION STREQUAL "Volta")
set(__cuda_arch_bin "7.0")
elseif(CUDA_GENERATION STREQUAL "Turing")
set(__cuda_arch_bin "7.5")
elseif(CUDA_GENERATION STREQUAL "Auto")
execute_process( COMMAND ${DETECT_ARCHS_COMMAND}
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE _nvcc_res OUTPUT_VARIABLE _nvcc_out
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
string(REGEX REPLACE ".*\n" "" _nvcc_out "${_nvcc_out}") #Strip leading warning messages, if any
if(NOT _nvcc_res EQUAL 0)
message(STATUS "Automatic detection of CUDA generation failed. Going to build for all known architectures.")
else()
set(__cuda_arch_bin "${_nvcc_out}")
string(REPLACE "2.1" "2.1(2.0)" __cuda_arch_bin "${__cuda_arch_bin}")
endif()
endif()
if(NOT DEFINED __cuda_arch_bin)
if(ARM)
set(__cuda_arch_bin "3.2")
set(__cuda_arch_ptx "")
elseif(AARCH64)
execute_process( COMMAND ${DETECT_ARCHS_COMMAND}
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE _nvcc_res OUTPUT_VARIABLE _nvcc_out
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
string(REGEX REPLACE ".*\n" "" _nvcc_out "${_nvcc_out}") #Strip leading warning messages, if any
if(NOT _nvcc_res EQUAL 0)
message(STATUS "Automatic detection of CUDA generation failed. Going to build for all known architectures.")
set(__cuda_arch_bin "5.3 6.2 7.2")
else()
set(__cuda_arch_bin "${_nvcc_out}")
string(REPLACE "2.1" "2.1(2.0)" __cuda_arch_bin "${__cuda_arch_bin}")
endif()
set(__cuda_arch_ptx "")
else()
if(CUDA_VERSION VERSION_LESS "9.0")
set(__cuda_arch_bin "2.0 3.0 3.5 3.7 5.0 5.2 6.0 6.1")
elseif(CUDA_VERSION VERSION_LESS "10.0")
set(__cuda_arch_bin "3.0 3.5 3.7 5.0 5.2 6.0 6.1 7.0")
else()
set(__cuda_arch_bin "3.0 3.5 3.7 5.0 5.2 6.0 6.1 7.0 7.5")
endif()
endif()
endif()
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()