FindCUDA: Refactor Android(Tegra) support

Reviewed-by: James Bigler <jamesbigler@gmail.com>
This commit is contained in:
Boris Fomitchev 2016-04-19 15:13:51 -07:00 committed by Brad King
parent e9bfe8da04
commit 7229ae728f
2 changed files with 282 additions and 45 deletions

View File

@ -199,6 +199,24 @@
# specified by CUDA_64_BIT_DEVICE_CODE. Note that this is a function # specified by CUDA_64_BIT_DEVICE_CODE. Note that this is a function
# instead of a macro. # instead of a macro.
# #
# CUDA_SELECT_NVCC_ARCH_FLAGS(out_variable [target_CUDA_architectures])
# -- Selects GPU arch flags for nvcc based on target_CUDA_architectures
# target_CUDA_architectures : Auto | Common | All | LIST(ARCH_AND_PTX ...)
# - "Auto" detects local machine GPU compute arch at runtime.
# - "Common" and "All" cover common and entire subsets of architectures
# ARCH_AND_PTX : NAME | NUM.NUM | NUM.NUM(NUM.NUM) | NUM.NUM+PTX
# NAME: Fermi Kepler Maxwell Kepler+Tegra Kepler+Tesla Maxwell+Tegra Pascal
# NUM: Any number. Only those pairs are currently accepted by NVCC though:
# 2.0 2.1 3.0 3.2 3.5 3.7 5.0 5.2 5.3 6.0 6.2
# Returns LIST of flags to be added to CUDA_NVCC_FLAGS in ${out_variable}
# Additionally, sets ${out_variable}_readable to the resulting numeric list
# Example:
# CUDA_SELECT_NVCC_ARCH_FLAGS(ARCH_FLAGS 3.0 3.5+PTX 5.2(5.0) Maxwell)
# LIST(APPEND CUDA_NVCC_FLAGS ${ARCH_FLAGS})
#
# More info on CUDA architectures: https://en.wikipedia.org/wiki/CUDA
# Note that this is a function instead of a macro.
#
# CUDA_WRAP_SRCS ( cuda_target format generated_files file0 file1 ... # CUDA_WRAP_SRCS ( cuda_target format generated_files file0 file1 ...
# [STATIC | SHARED | MODULE] [OPTIONS ...] ) # [STATIC | SHARED | MODULE] [OPTIONS ...] )
# -- This is where all the magic happens. CUDA_ADD_EXECUTABLE, # -- This is where all the magic happens. CUDA_ADD_EXECUTABLE,
@ -562,6 +580,7 @@ macro(cuda_unset_include_and_libraries)
unset(CUDA_nvcuvenc_LIBRARY CACHE) unset(CUDA_nvcuvenc_LIBRARY CACHE)
unset(CUDA_nvcuvid_LIBRARY CACHE) unset(CUDA_nvcuvid_LIBRARY CACHE)
unset(CUDA_USE_STATIC_CUDA_RUNTIME CACHE) unset(CUDA_USE_STATIC_CUDA_RUNTIME CACHE)
unset(CUDA_GPU_DETECT_OUTPUT CACHE)
endmacro() endmacro()
# Check to see if the CUDA_TOOLKIT_ROOT_DIR and CUDA_SDK_ROOT_DIR have changed, # Check to see if the CUDA_TOOLKIT_ROOT_DIR and CUDA_SDK_ROOT_DIR have changed,
@ -577,21 +596,21 @@ if(NOT "${CUDA_TOOLKIT_TARGET_DIR}" STREQUAL "${CUDA_TOOLKIT_TARGET_DIR_INTERNAL
cuda_unset_include_and_libraries() cuda_unset_include_and_libraries()
endif() endif()
if(NOT "${CUDA_SDK_ROOT_DIR}" STREQUAL "${CUDA_SDK_ROOT_DIR_INTERNAL}") #
# No specific variables to catch. Use this kind of code before calling # End of unset()
# find_package(CUDA) to clean up any variables that may depend on this path. #
# unset(MY_SPECIAL_CUDA_SDK_INCLUDE_DIR CACHE) #
# unset(MY_SPECIAL_CUDA_SDK_LIBRARY CACHE) # Start looking for things
endif() #
# Search for the cuda distribution. # Search for the cuda distribution.
if(NOT CUDA_TOOLKIT_ROOT_DIR) if(NOT CUDA_TOOLKIT_ROOT_DIR AND NOT CMAKE_CROSSCOMPILING)
# Search in the CUDA_BIN_PATH first. # Search in the CUDA_BIN_PATH first.
find_path(CUDA_TOOLKIT_ROOT_DIR find_path(CUDA_TOOLKIT_ROOT_DIR
NAMES nvcc nvcc.exe NAMES nvcc nvcc.exe
PATHS PATHS
ENV CUDA_TOOLKIT_ROOT
ENV CUDA_PATH ENV CUDA_PATH
ENV CUDA_BIN_PATH ENV CUDA_BIN_PATH
PATH_SUFFIXES bin bin64 PATH_SUFFIXES bin bin64
@ -611,6 +630,7 @@ if(NOT CUDA_TOOLKIT_ROOT_DIR)
string(REGEX REPLACE "[/\\\\]?bin[64]*[/\\\\]?$" "" CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT_DIR}) string(REGEX REPLACE "[/\\\\]?bin[64]*[/\\\\]?$" "" CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT_DIR})
# We need to force this back into the cache. # We need to force this back into the cache.
set(CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT_DIR} CACHE PATH "Toolkit location." FORCE) set(CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT_DIR} CACHE PATH "Toolkit location." FORCE)
set(CUDA_TOOLKIT_TARGET_DIR ${CUDA_TOOLKIT_ROOT_DIR})
endif() endif()
if (NOT EXISTS ${CUDA_TOOLKIT_ROOT_DIR}) if (NOT EXISTS ${CUDA_TOOLKIT_ROOT_DIR})
@ -622,8 +642,45 @@ if(NOT CUDA_TOOLKIT_ROOT_DIR)
endif () endif ()
endif () endif ()
if(CMAKE_CROSSCOMPILING)
SET (CUDA_TOOLKIT_ROOT $ENV{CUDA_TOOLKIT_ROOT})
if(CMAKE_SYSTEM_PROCESSOR STREQUAL "armv7-a")
# Support for NVPACK
set (CUDA_TOOLKIT_TARGET_NAME "armv7-linux-androideabi")
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "arm")
# Support for arm cross compilation
set(CUDA_TOOLKIT_TARGET_NAME "armv7-linux-gnueabihf")
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
# Support for aarch64 cross compilation
if (ANDROID_ARCH_NAME STREQUAL "arm64")
set(CUDA_TOOLKIT_TARGET_NAME "aarch64-linux-androideabi")
else()
set(CUDA_TOOLKIT_TARGET_NAME "aarch64-linux")
endif (ANDROID_ARCH_NAME STREQUAL "arm64")
endif()
if (EXISTS "${CUDA_TOOLKIT_ROOT}/targets/${CUDA_TOOLKIT_TARGET_NAME}")
set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT}/targets/${CUDA_TOOLKIT_TARGET_NAME}" CACHE PATH "CUDA Toolkit target location.")
SET (CUDA_TOOLKIT_ROOT_DIR ${CUDA_TOOLKIT_ROOT})
mark_as_advanced(CUDA_TOOLKIT_TARGET_DIR)
endif()
# add known CUDA targetr root path to the set of directories we search for programs, libraries and headers
set( CMAKE_FIND_ROOT_PATH "${CUDA_TOOLKIT_TARGET_DIR};${CMAKE_FIND_ROOT_PATH}")
macro( cuda_find_host_program )
find_host_program( ${ARGN} )
endmacro()
else()
# for non-cross-compile, find_host_program == find_program and CUDA_TOOLKIT_TARGET_DIR == CUDA_TOOLKIT_ROOT_DIR
macro( cuda_find_host_program )
find_program( ${ARGN} )
endmacro()
SET (CUDA_TOOLKIT_TARGET_DIR ${CUDA_TOOLKIT_ROOT_DIR})
endif()
# CUDA_NVCC_EXECUTABLE # CUDA_NVCC_EXECUTABLE
find_program(CUDA_NVCC_EXECUTABLE cuda_find_host_program(CUDA_NVCC_EXECUTABLE
NAMES nvcc NAMES nvcc
PATHS "${CUDA_TOOLKIT_ROOT_DIR}" PATHS "${CUDA_TOOLKIT_ROOT_DIR}"
ENV CUDA_PATH ENV CUDA_PATH
@ -632,7 +689,7 @@ find_program(CUDA_NVCC_EXECUTABLE
NO_DEFAULT_PATH NO_DEFAULT_PATH
) )
# Search default search paths, after we search our own set of paths. # Search default search paths, after we search our own set of paths.
find_program(CUDA_NVCC_EXECUTABLE nvcc) cuda_find_host_program(CUDA_NVCC_EXECUTABLE nvcc)
mark_as_advanced(CUDA_NVCC_EXECUTABLE) mark_as_advanced(CUDA_NVCC_EXECUTABLE)
if(CUDA_NVCC_EXECUTABLE AND NOT CUDA_VERSION) if(CUDA_NVCC_EXECUTABLE AND NOT CUDA_VERSION)
@ -648,33 +705,14 @@ else()
string(REGEX REPLACE "([0-9]+)\\.([0-9]+).*" "\\2" CUDA_VERSION_MINOR "${CUDA_VERSION}") string(REGEX REPLACE "([0-9]+)\\.([0-9]+).*" "\\2" CUDA_VERSION_MINOR "${CUDA_VERSION}")
endif() endif()
# Always set this convenience variable # Always set this convenience variable
set(CUDA_VERSION_STRING "${CUDA_VERSION}") set(CUDA_VERSION_STRING "${CUDA_VERSION}")
# Support for arm cross compilation with CUDA 5.5
if(CUDA_VERSION VERSION_GREATER "5.0" AND CMAKE_CROSSCOMPILING AND CMAKE_SYSTEM_PROCESSOR MATCHES "arm" AND EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/armv7-linux-gnueabihf")
set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT_DIR}/targets/armv7-linux-gnueabihf" CACHE PATH "Toolkit target location.")
# Support for aarch64 cross compilation with CUDA 7.0
elseif(CUDA_VERSION VERSION_GREATER "6.5" AND CMAKE_CROSSCOMPILING AND CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64" AND EXISTS "${CUDA_TOOLKIT_ROOT_DIR}/targets/aarch64-linux")
set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT_DIR}/targets/aarch64-linux" CACHE PATH "Toolkit target location.")
else()
set(CUDA_TOOLKIT_TARGET_DIR "${CUDA_TOOLKIT_ROOT_DIR}" CACHE PATH "Toolkit target location.")
endif()
mark_as_advanced(CUDA_TOOLKIT_TARGET_DIR)
# Target CPU architecture
if(CUDA_VERSION VERSION_GREATER "5.0" AND CMAKE_CROSSCOMPILING AND CMAKE_SYSTEM_PROCESSOR MATCHES "arm")
set(_cuda_target_cpu_arch_initial "ARM")
else()
set(_cuda_target_cpu_arch_initial "")
endif()
set(CUDA_TARGET_CPU_ARCH ${_cuda_target_cpu_arch_initial} CACHE STRING "Specify the name of the class of CPU architecture for which the input files must be compiled.")
mark_as_advanced(CUDA_TARGET_CPU_ARCH)
# CUDA_TOOLKIT_INCLUDE # CUDA_TOOLKIT_INCLUDE
find_path(CUDA_TOOLKIT_INCLUDE find_path(CUDA_TOOLKIT_INCLUDE
device_functions.h # Header included in toolkit device_functions.h # Header included in toolkit
PATHS "${CUDA_TOOLKIT_TARGET_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}" PATHS ${CUDA_TOOLKIT_TARGET_DIR}
ENV CUDA_PATH ENV CUDA_PATH
ENV CUDA_INC_PATH ENV CUDA_INC_PATH
PATH_SUFFIXES include PATH_SUFFIXES include
@ -704,19 +742,21 @@ macro(cuda_find_library_local_first_with_path_ext _var _names _doc _path_ext )
# (lib/Win32) and the old path (lib). # (lib/Win32) and the old path (lib).
find_library(${_var} find_library(${_var}
NAMES ${_names} NAMES ${_names}
PATHS "${CUDA_TOOLKIT_TARGET_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}" PATHS "${CUDA_TOOLKIT_TARGET_DIR}"
ENV CUDA_PATH ENV CUDA_PATH
ENV CUDA_LIB_PATH ENV CUDA_LIB_PATH
PATH_SUFFIXES ${_cuda_64bit_lib_dir} "${_path_ext}lib/Win32" "${_path_ext}lib" "${_path_ext}libWin32" PATH_SUFFIXES ${_cuda_64bit_lib_dir} "${_path_ext}lib/Win32" "${_path_ext}lib" "${_path_ext}libWin32"
DOC ${_doc} DOC ${_doc}
NO_DEFAULT_PATH NO_DEFAULT_PATH
) )
# Search default search paths, after we search our own set of paths. if (NOT CMAKE_CROSSCOMPILING)
find_library(${_var} # Search default search paths, after we search our own set of paths.
NAMES ${_names} find_library(${_var}
PATHS "/usr/lib/nvidia-current" NAMES ${_names}
DOC ${_doc} PATHS "/usr/lib/nvidia-current"
) DOC ${_doc}
)
endif()
endmacro() endmacro()
macro(cuda_find_library_local_first _var _names _doc) macro(cuda_find_library_local_first _var _names _doc)
@ -737,7 +777,8 @@ if(CUDA_VERSION VERSION_EQUAL "3.0")
CUDA_CUDARTEMU_LIBRARY CUDA_CUDARTEMU_LIBRARY
) )
endif() endif()
if(NOT CUDA_VERSION VERSION_LESS "5.5")
if(CUDA_USE_STATIC_CUDA_RUNTIME AND NOT CUDA_VERSION VERSION_LESS "5.5")
cuda_find_library_local_first(CUDA_cudart_static_LIBRARY cudart_static "static CUDA runtime library") cuda_find_library_local_first(CUDA_cudart_static_LIBRARY cudart_static "static CUDA runtime library")
mark_as_advanced(CUDA_cudart_static_LIBRARY) mark_as_advanced(CUDA_cudart_static_LIBRARY)
endif() endif()
@ -773,12 +814,12 @@ if(CUDA_USE_STATIC_CUDA_RUNTIME)
else() else()
unset(CMAKE_THREAD_PREFER_PTHREAD) unset(CMAKE_THREAD_PREFER_PTHREAD)
endif() endif()
if (NOT APPLE) endif()
# Here is librt that has things such as, clock_gettime, shm_open, and shm_unlink. if (NOT APPLE AND CUDA_VERSION VERSION_LESS "7.0")
find_library(CUDA_rt_LIBRARY rt) # Before CUDA 7.0, there was librt that has things such as, clock_gettime, shm_open, and shm_unlink.
if (NOT CUDA_rt_LIBRARY) find_library(CUDA_rt_LIBRARY rt)
message(WARNING "Expecting to find librt for libcudart_static, but didn't find it.") if (NOT CUDA_rt_LIBRARY)
endif() message(WARNING "Expecting to find librt for libcudart_static, but didn't find it.")
endif() endif()
endif() endif()
endif() endif()
@ -988,6 +1029,7 @@ endmacro()
cuda_find_helper_file(parse_cubin cmake) cuda_find_helper_file(parse_cubin cmake)
cuda_find_helper_file(make2cmake cmake) cuda_find_helper_file(make2cmake cmake)
cuda_find_helper_file(run_nvcc cmake) cuda_find_helper_file(run_nvcc cmake)
include("${CMAKE_CURRENT_LIST_DIR}/FindCUDA/select_compute_arch.cmake")
############################################################################## ##############################################################################
# Separate the OPTIONS out from the sources # Separate the OPTIONS out from the sources

View File

@ -0,0 +1,195 @@
# Synopsis:
# CUDA_SELECT_NVCC_ARCH_FLAGS(out_variable [target_CUDA_architectures])
# -- Selects GPU arch flags for nvcc based on target_CUDA_architectures
# target_CUDA_architectures : Auto | Common | All | LIST(ARCH_AND_PTX ...)
# - "Auto" detects local machine GPU compute arch at runtime.
# - "Common" and "All" cover common and entire subsets of architectures
# ARCH_AND_PTX : NAME | NUM.NUM | NUM.NUM(NUM.NUM) | NUM.NUM+PTX
# NAME: Fermi Kepler Maxwell Kepler+Tegra Kepler+Tesla Maxwell+Tegra Pascal
# NUM: Any number. Only those pairs are currently accepted by NVCC though:
# 2.0 2.1 3.0 3.2 3.5 3.7 5.0 5.2 5.3 6.0 6.2
# Returns LIST of flags to be added to CUDA_NVCC_FLAGS in ${out_variable}
# Additionally, sets ${out_variable}_readable to the resulting numeric list
# Example:
# CUDA_SELECT_NVCC_ARCH_FLAGS(ARCH_FLAGS 3.0 3.5+PTX 5.2(5.0) Maxwell)
# LIST(APPEND CUDA_NVCC_FLAGS ${ARCH_FLAGS})
#
# More info on CUDA architectures: https://en.wikipedia.org/wiki/CUDA
#
# This list will be used for CUDA_ARCH_NAME = All option
set(CUDA_KNOWN_GPU_ARCHITECTURES "Fermi" "Kepler" "Maxwell")
# This list will be used for CUDA_ARCH_NAME = Common option (enabled by default)
set(CUDA_COMMON_GPU_ARCHITECTURES "3.0" "3.5" "5.0")
if (CUDA_VERSION VERSION_GREATER "6.5")
list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Kepler+Tegra" "Kepler+Tesla" "Maxwell+Tegra")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "5.2")
endif ()
if (CUDA_VERSION VERSION_GREATER "7.5")
list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Pascal")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "6.0" "6.1" "6.1+PTX")
else()
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "5.2+PTX")
endif ()
################################################################################################
# A function for automatic detection of GPUs installed (if autodetection is enabled)
# Usage:
# CUDA_DETECT_INSTALLED_GPUS(OUT_VARIABLE)
#
function(CUDA_DETECT_INSTALLED_GPUS OUT_VARIABLE)
if(NOT CUDA_GPU_DETECT_OUTPUT)
set(cufile ${PROJECT_BINARY_DIR}/detect_cuda_archs.cu)
file(WRITE ${cufile} ""
"#include <cstdio>\n"
"int main()\n"
"{\n"
" int count = 0;\n"
" if (cudaSuccess != cudaGetDeviceCount(&count)) return -1;\n"
" if (count == 0) return -1;\n"
" for (int device = 0; device < count; ++device)\n"
" {\n"
" cudaDeviceProp prop;\n"
" if (cudaSuccess == cudaGetDeviceProperties(&prop, device))\n"
" std::printf(\"%d.%d \", prop.major, prop.minor);\n"
" }\n"
" return 0;\n"
"}\n")
execute_process(COMMAND "${CUDA_NVCC_EXECUTABLE}" "--run" "${cufile}"
WORKING_DIRECTORY "${PROJECT_BINARY_DIR}/CMakeFiles/"
RESULT_VARIABLE nvcc_res OUTPUT_VARIABLE nvcc_out
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
if(nvcc_res EQUAL 0)
string(REPLACE "2.1" "2.1(2.0)" nvcc_out "${nvcc_out}")
set(CUDA_GPU_DETECT_OUTPUT ${nvcc_out} CACHE INTERNAL "Returned GPU architetures from detect_gpus tool" FORCE)
endif()
endif()
if(NOT CUDA_GPU_DETECT_OUTPUT)
message(STATUS "Automatic GPU detection failed. Building for common architectures.")
set(${OUT_VARIABLE} ${CUDA_COMMON_GPU_ARCHITECTURES} PARENT_SCOPE)
else()
set(${OUT_VARIABLE} ${CUDA_GPU_DETECT_OUTPUT} PARENT_SCOPE)
endif()
endfunction()
################################################################################################
# Function for selecting GPU arch flags for nvcc based on CUDA architectures from parameter list
# Usage:
# SELECT_NVCC_ARCH_FLAGS(out_variable [list of CUDA compute archs])
function(CUDA_SELECT_NVCC_ARCH_FLAGS out_variable)
set(CUDA_ARCH_LIST "${ARGN}")
if("X${CUDA_ARCH_LIST}" STREQUAL "X" )
set(CUDA_ARCH_LIST "Auto")
endif()
set(cuda_arch_bin)
set(cuda_arch_ptx)
if("${CUDA_ARCH_LIST}" STREQUAL "All")
set(CUDA_ARCH_LIST ${CUDA_KNOWN_GPU_ARCHITECTURES})
elseif("${CUDA_ARCH_LIST}" STREQUAL "Common")
set(CUDA_ARCH_LIST ${CUDA_COMMON_GPU_ARCHITECTURES})
elseif("${CUDA_ARCH_LIST}" STREQUAL "Auto")
CUDA_DETECT_INSTALLED_GPUS(CUDA_ARCH_LIST)
message(STATUS "Autodetected CUDA architecture(s): ${cuda_arch_bin}")
endif()
# Now process the list and look for names
string(REGEX REPLACE "[ \t]+" ";" CUDA_ARCH_LIST "${CUDA_ARCH_LIST}")
list(REMOVE_DUPLICATES CUDA_ARCH_LIST)
foreach(arch_name ${CUDA_ARCH_LIST})
set(arch_bin)
set(add_ptx FALSE)
# Check to see if we are compiling PTX
if(arch_name MATCHES "(.*)\\+PTX$")
set(add_ptx TRUE)
set(arch_name ${CMAKE_MATCH_1})
endif()
if(arch_name MATCHES "([0-9]\\.[0-9])$")
set(arch_bin ${CMAKE_MATCH_1})
set(arch_ptx ${arch_bin})
else()
# Look for it in our list of known architectures
if(${arch_name} STREQUAL "Fermi")
set(arch_bin 2.0 "2.1(2.0)")
elseif(${arch_name} STREQUAL "Kepler+Tegra")
set(arch_bin 3.2)
elseif(${arch_name} STREQUAL "Kepler+Tesla")
set(arch_bin 3.7)
elseif(${arch_name} STREQUAL "Kepler")
set(arch_bin 3.0 3.5)
set(arch_ptx 3.5)
elseif(${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()