FindCUDA: Refactor Android(Tegra) support
Reviewed-by: James Bigler <jamesbigler@gmail.com>
This commit is contained in:
Boris Fomitchev
Brad King
parent
e9bfe8da04
commit
7229ae728f
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@ -199,6 +199,24 @@
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# specified by CUDA_64_BIT_DEVICE_CODE. Note that this is a function
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# instead of a macro.
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#
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# CUDA_SELECT_NVCC_ARCH_FLAGS(out_variable [target_CUDA_architectures])
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# -- Selects GPU arch flags for nvcc based on target_CUDA_architectures
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# target_CUDA_architectures : Auto | Common | All | LIST(ARCH_AND_PTX ...)
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# - "Auto" detects local machine GPU compute arch at runtime.
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# - "Common" and "All" cover common and entire subsets of architectures
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# ARCH_AND_PTX : NAME | NUM.NUM | NUM.NUM(NUM.NUM) | NUM.NUM+PTX
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# NAME: Fermi Kepler Maxwell Kepler+Tegra Kepler+Tesla Maxwell+Tegra Pascal
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# NUM: Any number. Only those pairs are currently accepted by NVCC though:
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# 2.0 2.1 3.0 3.2 3.5 3.7 5.0 5.2 5.3 6.0 6.2
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# Returns LIST of flags to be added to CUDA_NVCC_FLAGS in ${out_variable}
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# Additionally, sets ${out_variable}_readable to the resulting numeric list
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# Example:
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# CUDA_SELECT_NVCC_ARCH_FLAGS(ARCH_FLAGS 3.0 3.5+PTX 5.2(5.0) Maxwell)
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# LIST(APPEND CUDA_NVCC_FLAGS ${ARCH_FLAGS})
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#
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# More info on CUDA architectures: https://en.wikipedia.org/wiki/CUDA
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# Note that this is a function instead of a macro.
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#
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# CUDA_WRAP_SRCS ( cuda_target format generated_files file0 file1 ...
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# [STATIC | SHARED | MODULE] [OPTIONS ...] )
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# -- This is where all the magic happens. CUDA_ADD_EXECUTABLE,
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@ -562,6 +580,7 @@ macro(cuda_unset_include_and_libraries)
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unset(CUDA_nvcuvenc_LIBRARY CACHE)
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unset(CUDA_nvcuvid_LIBRARY CACHE)
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unset(CUDA_USE_STATIC_CUDA_RUNTIME CACHE)
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unset(CUDA_GPU_DETECT_OUTPUT CACHE)
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endmacro()
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# Check to see if the CUDA_TOOLKIT_ROOT_DIR and CUDA_SDK_ROOT_DIR have changed,
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@ -577,21 +596,21 @@ if(NOT "${CUDA_TOOLKIT_TARGET_DIR}" STREQUAL "${CUDA_TOOLKIT_TARGET_DIR_INTERNAL
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cuda_unset_include_and_libraries()
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endif()
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if(NOT "${CUDA_SDK_ROOT_DIR}" STREQUAL "${CUDA_SDK_ROOT_DIR_INTERNAL}")
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# No specific variables to catch. Use this kind of code before calling
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# find_package(CUDA) to clean up any variables that may depend on this path.
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#
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# End of unset()
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#
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# unset(MY_SPECIAL_CUDA_SDK_INCLUDE_DIR CACHE)
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# unset(MY_SPECIAL_CUDA_SDK_LIBRARY CACHE)
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endif()
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#
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# Start looking for things
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#
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# Search for the cuda distribution.
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if(NOT CUDA_TOOLKIT_ROOT_DIR)
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if(NOT CUDA_TOOLKIT_ROOT_DIR AND NOT CMAKE_CROSSCOMPILING)
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# Search in the CUDA_BIN_PATH first.
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find_path(CUDA_TOOLKIT_ROOT_DIR
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NAMES nvcc nvcc.exe
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PATHS
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ENV CUDA_TOOLKIT_ROOT
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ENV CUDA_PATH
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ENV CUDA_BIN_PATH
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PATH_SUFFIXES bin bin64
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@ -611,6 +630,7 @@ if(NOT CUDA_TOOLKIT_ROOT_DIR)
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string(REGEX REPLACE "[/\\\\]?bin[64]*[/\\\\]?$" "" CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT_DIR})
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# We need to force this back into the cache.
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set(CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT_DIR} CACHE PATH "Toolkit location." FORCE)
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set(CUDA_TOOLKIT_TARGET_DIR ${CUDA_TOOLKIT_ROOT_DIR})
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endif()
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if (NOT EXISTS ${CUDA_TOOLKIT_ROOT_DIR})
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@ -622,8 +642,45 @@ if(NOT CUDA_TOOLKIT_ROOT_DIR)
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endif ()
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endif ()
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if(CMAKE_CROSSCOMPILING)
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SET (CUDA_TOOLKIT_ROOT $ENV{CUDA_TOOLKIT_ROOT})
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if(CMAKE_SYSTEM_PROCESSOR STREQUAL "armv7-a")
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# Support for NVPACK
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set (CUDA_TOOLKIT_TARGET_NAME "armv7-linux-androideabi")
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elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "arm")
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# Support for arm cross compilation
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set(CUDA_TOOLKIT_TARGET_NAME "armv7-linux-gnueabihf")
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elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
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# Support for aarch64 cross compilation
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if (ANDROID_ARCH_NAME STREQUAL "arm64")
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set(CUDA_TOOLKIT_TARGET_NAME "aarch64-linux-androideabi")
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else()
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set(CUDA_TOOLKIT_TARGET_NAME "aarch64-linux")
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endif (ANDROID_ARCH_NAME STREQUAL "arm64")
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endif()
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if (EXISTS "${CUDA_TOOLKIT_ROOT}/targets/${CUDA_TOOLKIT_TARGET_NAME}")
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set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT}/targets/${CUDA_TOOLKIT_TARGET_NAME}" CACHE PATH "CUDA Toolkit target location.")
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SET (CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT})
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mark_as_advanced(CUDA_TOOLKIT_TARGET_DIR)
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endif()
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# add known CUDA targetr root path to the set of directories we search for programs, libraries and headers
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set( CMAKE_FIND_ROOT_PATH "${CUDA_TOOLKIT_TARGET_DIR};${CMAKE_FIND_ROOT_PATH}")
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macro( cuda_find_host_program )
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find_host_program( ${ARGN} )
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endmacro()
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else()
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# for non-cross-compile, find_host_program == find_program and CUDA_TOOLKIT_TARGET_DIR == CUDA_TOOLKIT_ROOT_DIR
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macro( cuda_find_host_program )
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find_program( ${ARGN} )
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endmacro()
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SET (CUDA_TOOLKIT_TARGET_DIR ${CUDA_TOOLKIT_ROOT_DIR})
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endif()
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# CUDA_NVCC_EXECUTABLE
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find_program(CUDA_NVCC_EXECUTABLE
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cuda_find_host_program(CUDA_NVCC_EXECUTABLE
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NAMES nvcc
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PATHS "${CUDA_TOOLKIT_ROOT_DIR}"
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ENV CUDA_PATH
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@ -632,7 +689,7 @@ find_program(CUDA_NVCC_EXECUTABLE
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NO_DEFAULT_PATH
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)
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# Search default search paths, after we search our own set of paths.
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find_program(CUDA_NVCC_EXECUTABLE nvcc)
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cuda_find_host_program(CUDA_NVCC_EXECUTABLE nvcc)
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mark_as_advanced(CUDA_NVCC_EXECUTABLE)
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if(CUDA_NVCC_EXECUTABLE AND NOT CUDA_VERSION)
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@ -648,33 +705,14 @@ else()
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string(REGEX REPLACE "([0-9]+)\\.([0-9]+).*" "\\2" CUDA_VERSION_MINOR "${CUDA_VERSION}")
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endif()
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# Always set this convenience variable
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set(CUDA_VERSION_STRING "${CUDA_VERSION}")
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# Support for arm cross compilation with CUDA 5.5
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if(CUDA_VERSION VERSION_GREATER "5.0" AND CMAKE_CROSSCOMPILING AND CMAKE_SYSTEM_PROCESSOR MATCHES "arm" AND EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/armv7-linux-gnueabihf")
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set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT_DIR}/targets/armv7-linux-gnueabihf" CACHE PATH "Toolkit target location.")
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# Support for aarch64 cross compilation with CUDA 7.0
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elseif(CUDA_VERSION VERSION_GREATER "6.5" AND CMAKE_CROSSCOMPILING AND CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64" AND EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/aarch64-linux")
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set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT_DIR}/targets/aarch64-linux" CACHE PATH "Toolkit target location.")
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else()
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set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT_DIR}" CACHE PATH "Toolkit target location.")
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endif()
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mark_as_advanced(CUDA_TOOLKIT_TARGET_DIR)
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# Target CPU architecture
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if(CUDA_VERSION VERSION_GREATER "5.0" AND CMAKE_CROSSCOMPILING AND CMAKE_SYSTEM_PROCESSOR MATCHES "arm")
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set(_cuda_target_cpu_arch_initial "ARM")
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else()
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set(_cuda_target_cpu_arch_initial "")
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endif()
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set(CUDA_TARGET_CPU_ARCH ${_cuda_target_cpu_arch_initial} CACHE STRING "Specify the name of the class of CPU architecture for which the input files must be compiled.")
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mark_as_advanced(CUDA_TARGET_CPU_ARCH)
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# CUDA_TOOLKIT_INCLUDE
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find_path(CUDA_TOOLKIT_INCLUDE
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device_functions.h # Header included in toolkit
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PATHS "${CUDA_TOOLKIT_TARGET_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}"
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PATHS ${CUDA_TOOLKIT_TARGET_DIR}
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ENV CUDA_PATH
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ENV CUDA_INC_PATH
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PATH_SUFFIXES include
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@ -704,19 +742,21 @@ macro(cuda_find_library_local_first_with_path_ext _var _names _doc _path_ext )
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# (lib/Win32) and the old path (lib).
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find_library(${_var}
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NAMES ${_names}
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PATHS "${CUDA_TOOLKIT_TARGET_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}"
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PATHS "${CUDA_TOOLKIT_TARGET_DIR}"
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ENV CUDA_PATH
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ENV CUDA_LIB_PATH
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PATH_SUFFIXES ${_cuda_64bit_lib_dir} "${_path_ext}lib/Win32" "${_path_ext}lib" "${_path_ext}libWin32"
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DOC ${_doc}
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NO_DEFAULT_PATH
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)
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# Search default search paths, after we search our own set of paths.
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find_library(${_var}
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NAMES ${_names}
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PATHS "/usr/lib/nvidia-current"
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DOC ${_doc}
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)
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if (NOT CMAKE_CROSSCOMPILING)
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# Search default search paths, after we search our own set of paths.
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find_library(${_var}
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NAMES ${_names}
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PATHS "/usr/lib/nvidia-current"
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DOC ${_doc}
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)
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endif()
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endmacro()
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macro(cuda_find_library_local_first _var _names _doc)
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@ -737,7 +777,8 @@ if(CUDA_VERSION VERSION_EQUAL "3.0")
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CUDA_CUDARTEMU_LIBRARY
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)
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endif()
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if(NOT CUDA_VERSION VERSION_LESS "5.5")
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if(CUDA_USE_STATIC_CUDA_RUNTIME AND NOT CUDA_VERSION VERSION_LESS "5.5")
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cuda_find_library_local_first(CUDA_cudart_static_LIBRARY cudart_static "static CUDA runtime library")
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mark_as_advanced(CUDA_cudart_static_LIBRARY)
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endif()
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@ -773,12 +814,12 @@ if(CUDA_USE_STATIC_CUDA_RUNTIME)
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else()
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unset(CMAKE_THREAD_PREFER_PTHREAD)
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endif()
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if (NOT APPLE)
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# Here is librt that has things such as, clock_gettime, shm_open, and shm_unlink.
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find_library(CUDA_rt_LIBRARY rt)
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if (NOT CUDA_rt_LIBRARY)
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message(WARNING "Expecting to find librt for libcudart_static, but didn't find it.")
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endif()
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endif()
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if (NOT APPLE AND CUDA_VERSION VERSION_LESS "7.0")
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# Before CUDA 7.0, there was librt that has things such as, clock_gettime, shm_open, and shm_unlink.
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find_library(CUDA_rt_LIBRARY rt)
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if (NOT CUDA_rt_LIBRARY)
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message(WARNING "Expecting to find librt for libcudart_static, but didn't find it.")
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endif()
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endif()
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endif()
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@ -988,6 +1029,7 @@ endmacro()
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cuda_find_helper_file(parse_cubin cmake)
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cuda_find_helper_file(make2cmake cmake)
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cuda_find_helper_file(run_nvcc cmake)
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include("${CMAKE_CURRENT_LIST_DIR}/FindCUDA/select_compute_arch.cmake")
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##############################################################################
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# Separate the OPTIONS out from the sources
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@ -0,0 +1,195 @@
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# Synopsis:
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# CUDA_SELECT_NVCC_ARCH_FLAGS(out_variable [target_CUDA_architectures])
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# -- Selects GPU arch flags for nvcc based on target_CUDA_architectures
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# target_CUDA_architectures : Auto | Common | All | LIST(ARCH_AND_PTX ...)
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# - "Auto" detects local machine GPU compute arch at runtime.
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# - "Common" and "All" cover common and entire subsets of architectures
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# ARCH_AND_PTX : NAME | NUM.NUM | NUM.NUM(NUM.NUM) | NUM.NUM+PTX
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# NAME: Fermi Kepler Maxwell Kepler+Tegra Kepler+Tesla Maxwell+Tegra Pascal
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# NUM: Any number. Only those pairs are currently accepted by NVCC though:
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# 2.0 2.1 3.0 3.2 3.5 3.7 5.0 5.2 5.3 6.0 6.2
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# Returns LIST of flags to be added to CUDA_NVCC_FLAGS in ${out_variable}
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# Additionally, sets ${out_variable}_readable to the resulting numeric list
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# Example:
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# CUDA_SELECT_NVCC_ARCH_FLAGS(ARCH_FLAGS 3.0 3.5+PTX 5.2(5.0) Maxwell)
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# LIST(APPEND CUDA_NVCC_FLAGS ${ARCH_FLAGS})
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#
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# More info on CUDA architectures: https://en.wikipedia.org/wiki/CUDA
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#
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# This list will be used for CUDA_ARCH_NAME = All option
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set(CUDA_KNOWN_GPU_ARCHITECTURES "Fermi" "Kepler" "Maxwell")
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# This list will be used for CUDA_ARCH_NAME = Common option (enabled by default)
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set(CUDA_COMMON_GPU_ARCHITECTURES "3.0" "3.5" "5.0")
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if (CUDA_VERSION VERSION_GREATER "6.5")
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list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Kepler+Tegra" "Kepler+Tesla" "Maxwell+Tegra")
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list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "5.2")
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endif ()
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if (CUDA_VERSION VERSION_GREATER "7.5")
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list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Pascal")
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list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "6.0" "6.1" "6.1+PTX")
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else()
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list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "5.2+PTX")
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endif ()
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################################################################################################
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# A function for automatic detection of GPUs installed (if autodetection is enabled)
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# Usage:
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# CUDA_DETECT_INSTALLED_GPUS(OUT_VARIABLE)
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#
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function(CUDA_DETECT_INSTALLED_GPUS OUT_VARIABLE)
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if(NOT CUDA_GPU_DETECT_OUTPUT)
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set(cufile ${PROJECT_BINARY_DIR}/detect_cuda_archs.cu)
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file(WRITE ${cufile} ""
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"#include <cstdio>\n"
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"int main()\n"
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"{\n"
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" int count = 0;\n"
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" if (cudaSuccess != cudaGetDeviceCount(&count)) return -1;\n"
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" if (count == 0) return -1;\n"
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" for (int device = 0; device < count; ++device)\n"
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" {\n"
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" cudaDeviceProp prop;\n"
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" if (cudaSuccess == cudaGetDeviceProperties(&prop, device))\n"
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" std::printf(\"%d.%d \", prop.major, prop.minor);\n"
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" }\n"
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" return 0;\n"
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"}\n")
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execute_process(COMMAND "${CUDA_NVCC_EXECUTABLE}" "--run" "${cufile}"
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WORKING_DIRECTORY "${PROJECT_BINARY_DIR}/CMakeFiles/"
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RESULT_VARIABLE nvcc_res OUTPUT_VARIABLE nvcc_out
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ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
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if(nvcc_res EQUAL 0)
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string(REPLACE "2.1" "2.1(2.0)" nvcc_out "${nvcc_out}")
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set(CUDA_GPU_DETECT_OUTPUT ${nvcc_out} CACHE INTERNAL "Returned GPU architetures from detect_gpus tool" FORCE)
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endif()
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endif()
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if(NOT CUDA_GPU_DETECT_OUTPUT)
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message(STATUS "Automatic GPU detection failed. Building for common architectures.")
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set(${OUT_VARIABLE} ${CUDA_COMMON_GPU_ARCHITECTURES} PARENT_SCOPE)
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else()
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set(${OUT_VARIABLE} ${CUDA_GPU_DETECT_OUTPUT} PARENT_SCOPE)
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endif()
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endfunction()
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################################################################################################
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# Function for selecting GPU arch flags for nvcc based on CUDA architectures from parameter list
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# Usage:
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# SELECT_NVCC_ARCH_FLAGS(out_variable [list of CUDA compute archs])
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function(CUDA_SELECT_NVCC_ARCH_FLAGS out_variable)
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set(CUDA_ARCH_LIST "${ARGN}")
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if("X${CUDA_ARCH_LIST}" STREQUAL "X" )
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set(CUDA_ARCH_LIST "Auto")
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endif()
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set(cuda_arch_bin)
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set(cuda_arch_ptx)
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if("${CUDA_ARCH_LIST}" STREQUAL "All")
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set(CUDA_ARCH_LIST ${CUDA_KNOWN_GPU_ARCHITECTURES})
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elseif("${CUDA_ARCH_LIST}" STREQUAL "Common")
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set(CUDA_ARCH_LIST ${CUDA_COMMON_GPU_ARCHITECTURES})
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elseif("${CUDA_ARCH_LIST}" STREQUAL "Auto")
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CUDA_DETECT_INSTALLED_GPUS(CUDA_ARCH_LIST)
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message(STATUS "Autodetected CUDA architecture(s): ${cuda_arch_bin}")
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endif()
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# Now process the list and look for names
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string(REGEX REPLACE "[ \t]+" ";" CUDA_ARCH_LIST "${CUDA_ARCH_LIST}")
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list(REMOVE_DUPLICATES CUDA_ARCH_LIST)
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foreach(arch_name ${CUDA_ARCH_LIST})
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set(arch_bin)
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set(add_ptx FALSE)
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# Check to see if we are compiling PTX
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if(arch_name MATCHES "(.*)\\+PTX$")
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set(add_ptx TRUE)
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set(arch_name ${CMAKE_MATCH_1})
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endif()
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if(arch_name MATCHES "([0-9]\\.[0-9])$")
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set(arch_bin ${CMAKE_MATCH_1})
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set(arch_ptx ${arch_bin})
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else()
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# Look for it in our list of known architectures
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if(${arch_name} STREQUAL "Fermi")
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set(arch_bin 2.0 "2.1(2.0)")
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elseif(${arch_name} STREQUAL "Kepler+Tegra")
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set(arch_bin 3.2)
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elseif(${arch_name} STREQUAL "Kepler+Tesla")
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set(arch_bin 3.7)
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elseif(${arch_name} STREQUAL "Kepler")
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set(arch_bin 3.0 3.5)
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set(arch_ptx 3.5)
|
||||
elseif(${arch_name} STREQUAL "Maxwell+Tegra")
|
||||
set(arch_bin 5.3)
|
||||
elseif(${arch_name} STREQUAL "Maxwell")
|
||||
set(arch_bin 5.0 5.2)
|
||||
set(arch_ptx 5.2)
|
||||
elseif(${arch_name} STREQUAL "Pascal")
|
||||
set(arch_bin 6.0 6.1)
|
||||
set(arch_ptx 6.1)
|
||||
else()
|
||||
message(SEND_ERROR "Unknown CUDA Architecture Name ${arch_name} in CUDA_SELECT_NVCC_ARCH_FLAGS")
|
||||
endif()
|
||||
endif()
|
||||
if(NOT arch_bin)
|
||||
message(SEND_ERROR "arch_bin wasn't set for some reason")
|
||||
endif()
|
||||
list(APPEND cuda_arch_bin ${arch_bin})
|
||||
if(add_ptx)
|
||||
if (NOT arch_ptx)
|
||||
set(arch_ptx ${arch_bin})
|
||||
endif()
|
||||
list(APPEND cuda_arch_ptx ${arch_ptx})
|
||||
endif()
|
||||
endforeach()
|
||||
|
||||
# remove dots and convert to lists
|
||||
string(REGEX REPLACE "\\." "" cuda_arch_bin "${cuda_arch_bin}")
|
||||
string(REGEX REPLACE "\\." "" cuda_arch_ptx "${cuda_arch_ptx}")
|
||||
string(REGEX MATCHALL "[0-9()]+" cuda_arch_bin "${cuda_arch_bin}")
|
||||
string(REGEX MATCHALL "[0-9]+" cuda_arch_ptx "${cuda_arch_ptx}")
|
||||
|
||||
if(cuda_arch_bin)
|
||||
list(REMOVE_DUPLICATES cuda_arch_bin)
|
||||
endif()
|
||||
if(cuda_arch_ptx)
|
||||
list(REMOVE_DUPLICATES cuda_arch_ptx)
|
||||
endif()
|
||||
|
||||
set(nvcc_flags "")
|
||||
set(nvcc_archs_readable "")
|
||||
|
||||
# Tell NVCC to add binaries for the specified GPUs
|
||||
foreach(arch ${cuda_arch_bin})
|
||||
if(arch MATCHES "([0-9]+)\\(([0-9]+)\\)")
|
||||
# User explicitly specified PTX for the concrete BIN
|
||||
list(APPEND nvcc_flags -gencode arch=compute_${CMAKE_MATCH_2},code=sm_${CMAKE_MATCH_1})
|
||||
list(APPEND nvcc_archs_readable sm_${CMAKE_MATCH_1})
|
||||
else()
|
||||
# User didn't explicitly specify PTX for the concrete BIN, we assume PTX=BIN
|
||||
list(APPEND nvcc_flags -gencode arch=compute_${arch},code=sm_${arch})
|
||||
list(APPEND nvcc_archs_readable sm_${arch})
|
||||
endif()
|
||||
endforeach()
|
||||
|
||||
# Tell NVCC to add PTX intermediate code for the specified architectures
|
||||
foreach(arch ${cuda_arch_ptx})
|
||||
list(APPEND nvcc_flags -gencode arch=compute_${arch},code=compute_${arch})
|
||||
list(APPEND nvcc_archs_readable compute_${arch})
|
||||
endforeach()
|
||||
|
||||
string(REPLACE ";" " " nvcc_archs_readable "${nvcc_archs_readable}")
|
||||
set(${out_variable} ${nvcc_flags} PARENT_SCOPE)
|
||||
set(${out_variable}_readable ${nvcc_archs_readable} PARENT_SCOPE)
|
||||
endfunction()
|
||||
Loading…
Reference in New Issue