cmake 3.16.2 is required

This commit is contained in:
kleuter
2023-10-31 23:20:22 +01:00
parent bc5ac068d8
commit 595eafc085
2806 changed files with 20730 additions and 9028 deletions

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# James Bigler, NVIDIA Corp (nvidia.com - jbigler)
# Abe Stephens, SCI Institute -- http://www.sci.utah.edu/~abe/FindCuda.html
#
# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved.
#
# Copyright (c) 2007-2009
# Scientific Computing and Imaging Institute, University of Utah
#
# This code is licensed under the MIT License. See the FindCUDA.cmake script
# for the text of the license.
# The MIT License
#
# License for the specific language governing rights and limitations under
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
#
#######################################################################
# This converts a file written in makefile syntax into one that can be included
# by CMake.
# Input variables
#
# verbose:BOOL=<> OFF: Be as quiet as possible (default)
# ON : Extra output
#
# input_file:FILEPATH=<> Path to dependency file in makefile format
#
# output_file:FILEPATH=<> Path to file with dependencies in CMake readable variable
#
file(READ ${input_file} depend_text)
if (NOT "${depend_text}" STREQUAL "")
# message("FOUND DEPENDS")
string(REPLACE "\\ " " " depend_text ${depend_text})
# This works for the nvcc -M generated dependency files.
string(REGEX REPLACE "^.* : " "" depend_text ${depend_text})
string(REGEX REPLACE "[ \\\\]*\n" ";" depend_text ${depend_text})
set(dependency_list "")
foreach(file ${depend_text})
string(REGEX REPLACE "^ +" "" file ${file})
# OK, now if we had a UNC path, nvcc has a tendency to only output the first '/'
# instead of '//'. Here we will test to see if the file exists, if it doesn't then
# try to prepend another '/' to the path and test again. If it still fails remove the
# path.
if(NOT EXISTS "${file}")
if (EXISTS "/${file}")
set(file "/${file}")
else()
if(verbose)
message(WARNING " Removing non-existent dependency file: ${file}")
endif()
set(file "")
endif()
endif()
# Make sure we check to see if we have a file, before asking if it is not a directory.
# if(NOT IS_DIRECTORY "") will return TRUE.
if(file AND NOT IS_DIRECTORY "${file}")
# If softlinks start to matter, we should change this to REALPATH. For now we need
# to flatten paths, because nvcc can generate stuff like /bin/../include instead of
# just /include.
get_filename_component(file_absolute "${file}" ABSOLUTE)
list(APPEND dependency_list "${file_absolute}")
endif()
endforeach()
else()
# message("FOUND NO DEPENDS")
endif()
# Remove the duplicate entries and sort them.
list(REMOVE_DUPLICATES dependency_list)
list(SORT dependency_list)
foreach(file ${dependency_list})
string(APPEND cuda_nvcc_depend " \"${file}\"\n")
endforeach()
file(WRITE ${output_file} "# Generated by: make2cmake.cmake\nSET(CUDA_NVCC_DEPEND\n ${cuda_nvcc_depend})\n\n")

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# James Bigler, NVIDIA Corp (nvidia.com - jbigler)
# Abe Stephens, SCI Institute -- http://www.sci.utah.edu/~abe/FindCuda.html
#
# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved.
#
# Copyright (c) 2007-2009
# Scientific Computing and Imaging Institute, University of Utah
#
# This code is licensed under the MIT License. See the FindCUDA.cmake script
# for the text of the license.
# The MIT License
#
# License for the specific language governing rights and limitations under
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
#
#######################################################################
# Parses a .cubin file produced by nvcc and reports statistics about the file.
file(READ ${input_file} file_text)
if (NOT "${file_text}" STREQUAL "")
string(REPLACE ";" "\\;" file_text ${file_text})
string(REPLACE "\ncode" ";code" file_text ${file_text})
list(LENGTH file_text len)
foreach(line ${file_text})
# Only look at "code { }" blocks.
if(line MATCHES "^code")
# Break into individual lines.
string(REGEX REPLACE "\n" ";" line ${line})
foreach(entry ${line})
# Extract kernel names.
if (${entry} MATCHES "[^g]name = ([^ ]+)")
set(entry "${CMAKE_MATCH_1}")
# Check to see if the kernel name starts with "_"
set(skip FALSE)
# if (${entry} MATCHES "^_")
# Skip the rest of this block.
# message("Skipping ${entry}")
# set(skip TRUE)
# else ()
message("Kernel: ${entry}")
# endif ()
endif()
# Skip the rest of the block if necessary
if(NOT skip)
# Registers
if (${entry} MATCHES "reg([ ]+)=([ ]+)([^ ]+)")
set(entry "${CMAKE_MATCH_3}")
message("Registers: ${entry}")
endif()
# Local memory
if (${entry} MATCHES "lmem([ ]+)=([ ]+)([^ ]+)")
set(entry "${CMAKE_MATCH_3}")
message("Local: ${entry}")
endif()
# Shared memory
if (${entry} MATCHES "smem([ ]+)=([ ]+)([^ ]+)")
set(entry "${CMAKE_MATCH_3}")
message("Shared: ${entry}")
endif()
if (${entry} MATCHES "^}")
message("")
endif()
endif()
endforeach()
endif()
endforeach()
else()
# message("FOUND NO DEPENDS")
endif()

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# James Bigler, NVIDIA Corp (nvidia.com - jbigler)
#
# Copyright (c) 2008 - 2009 NVIDIA Corporation. All rights reserved.
#
# This code is licensed under the MIT License. See the FindCUDA.cmake script
# for the text of the license.
# The MIT License
#
# License for the specific language governing rights and limitations under
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
##########################################################################
# This file runs the nvcc commands to produce the desired output file along with
# the dependency file needed by CMake to compute dependencies. In addition the
# file checks the output of each command and if the command fails it deletes the
# output files.
# Input variables
#
# verbose:BOOL=<> OFF: Be as quiet as possible (default)
# ON : Describe each step
#
# build_configuration:STRING=<> Typically one of Debug, MinSizeRel, Release, or
# RelWithDebInfo, but it should match one of the
# entries in CUDA_HOST_FLAGS. This is the build
# configuration used when compiling the code. If
# blank or unspecified Debug is assumed as this is
# what CMake does.
#
# generated_file:STRING=<> File to generate. This argument must be passed in.
#
# generated_cubin_file:STRING=<> File to generate. This argument must be passed
# in if build_cubin is true.
cmake_policy(PUSH)
cmake_policy(SET CMP0007 NEW)
if(NOT generated_file)
message(FATAL_ERROR "You must specify generated_file on the command line")
endif()
# Set these up as variables to make reading the generated file easier
set(CMAKE_COMMAND "@CMAKE_COMMAND@") # path
set(source_file "@source_file@") # path
set(NVCC_generated_dependency_file "@NVCC_generated_dependency_file@") # path
set(cmake_dependency_file "@cmake_dependency_file@") # path
set(CUDA_make2cmake "@CUDA_make2cmake@") # path
set(CUDA_parse_cubin "@CUDA_parse_cubin@") # path
set(build_cubin @build_cubin@) # bool
set(CUDA_HOST_COMPILER "@CUDA_HOST_COMPILER@") # path
# We won't actually use these variables for now, but we need to set this, in
# order to force this file to be run again if it changes.
set(generated_file_path "@generated_file_path@") # path
set(generated_file_internal "@generated_file@") # path
set(generated_cubin_file_internal "@generated_cubin_file@") # path
set(CUDA_NVCC_EXECUTABLE "@CUDA_NVCC_EXECUTABLE@") # path
set(CUDA_NVCC_FLAGS @CUDA_NVCC_FLAGS@ ;; @CUDA_WRAP_OPTION_NVCC_FLAGS@) # list
@CUDA_NVCC_FLAGS_CONFIG@
set(nvcc_flags @nvcc_flags@) # list
set(CUDA_NVCC_INCLUDE_DIRS [==[@CUDA_NVCC_INCLUDE_DIRS@]==]) # list (needs to be in lua quotes to address backslashes)
string(REPLACE "\\" "/" CUDA_NVCC_INCLUDE_DIRS "${CUDA_NVCC_INCLUDE_DIRS}")
set(CUDA_NVCC_COMPILE_DEFINITIONS [==[@CUDA_NVCC_COMPILE_DEFINITIONS@]==]) # list (needs to be in lua quotes see #16510 ).
set(format_flag "@format_flag@") # string
set(cuda_language_flag @cuda_language_flag@) # list
# Clean up list of include directories and add -I flags
list(REMOVE_DUPLICATES CUDA_NVCC_INCLUDE_DIRS)
set(CUDA_NVCC_INCLUDE_ARGS)
foreach(dir ${CUDA_NVCC_INCLUDE_DIRS})
# Extra quotes are added around each flag to help nvcc parse out flags with spaces.
list(APPEND CUDA_NVCC_INCLUDE_ARGS "-I${dir}")
endforeach()
# Clean up list of compile definitions, add -D flags, and append to nvcc_flags
list(REMOVE_DUPLICATES CUDA_NVCC_COMPILE_DEFINITIONS)
foreach(def ${CUDA_NVCC_COMPILE_DEFINITIONS})
list(APPEND nvcc_flags "-D${def}")
endforeach()
if(build_cubin AND NOT generated_cubin_file)
message(FATAL_ERROR "You must specify generated_cubin_file on the command line")
endif()
# This is the list of host compilation flags. It C or CXX should already have
# been chosen by FindCUDA.cmake.
@CUDA_HOST_FLAGS@
# Take the compiler flags and package them up to be sent to the compiler via -Xcompiler
set(nvcc_host_compiler_flags "")
# If we weren't given a build_configuration, use Debug.
if(NOT build_configuration)
set(build_configuration Debug)
endif()
string(TOUPPER "${build_configuration}" build_configuration)
#message("CUDA_NVCC_HOST_COMPILER_FLAGS = ${CUDA_NVCC_HOST_COMPILER_FLAGS}")
foreach(flag ${CMAKE_HOST_FLAGS} ${CMAKE_HOST_FLAGS_${build_configuration}})
# Extra quotes are added around each flag to help nvcc parse out flags with spaces.
string(APPEND nvcc_host_compiler_flags ",\"${flag}\"")
endforeach()
if (nvcc_host_compiler_flags)
set(nvcc_host_compiler_flags "-Xcompiler" ${nvcc_host_compiler_flags})
endif()
#message("nvcc_host_compiler_flags = \"${nvcc_host_compiler_flags}\"")
# Add the build specific configuration flags
list(APPEND CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS_${build_configuration}})
# Any -ccbin existing in CUDA_NVCC_FLAGS gets highest priority
list( FIND CUDA_NVCC_FLAGS "-ccbin" ccbin_found0 )
list( FIND CUDA_NVCC_FLAGS "--compiler-bindir" ccbin_found1 )
if( ccbin_found0 LESS 0 AND ccbin_found1 LESS 0 AND CUDA_HOST_COMPILER )
if (CUDA_HOST_COMPILER STREQUAL "@_CUDA_MSVC_HOST_COMPILER@" AND DEFINED CCBIN)
set(CCBIN -ccbin "${CCBIN}")
else()
set(CCBIN -ccbin "${CUDA_HOST_COMPILER}")
endif()
endif()
# cuda_execute_process - Executes a command with optional command echo and status message.
#
# status - Status message to print if verbose is true
# command - COMMAND argument from the usual execute_process argument structure
# ARGN - Remaining arguments are the command with arguments
#
# CUDA_result - return value from running the command
#
# Make this a macro instead of a function, so that things like RESULT_VARIABLE
# and other return variables are present after executing the process.
macro(cuda_execute_process status command)
set(_command ${command})
if(NOT "x${_command}" STREQUAL "xCOMMAND")
message(FATAL_ERROR "Malformed call to cuda_execute_process. Missing COMMAND as second argument. (command = ${command})")
endif()
if(verbose)
execute_process(COMMAND "${CMAKE_COMMAND}" -E echo -- ${status})
# Now we need to build up our command string. We are accounting for quotes
# and spaces, anything else is left up to the user to fix if they want to
# copy and paste a runnable command line.
set(cuda_execute_process_string)
foreach(arg ${ARGN})
# If there are quotes, excape them, so they come through.
string(REPLACE "\"" "\\\"" arg ${arg})
# Args with spaces need quotes around them to get them to be parsed as a single argument.
if(arg MATCHES " ")
list(APPEND cuda_execute_process_string "\"${arg}\"")
else()
list(APPEND cuda_execute_process_string ${arg})
endif()
endforeach()
# Echo the command
execute_process(COMMAND ${CMAKE_COMMAND} -E echo ${cuda_execute_process_string})
endif()
# Run the command
execute_process(COMMAND ${ARGN} RESULT_VARIABLE CUDA_result )
endmacro()
# Delete the target file
cuda_execute_process(
"Removing ${generated_file}"
COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}"
)
# For CUDA 2.3 and below, -G -M doesn't work, so remove the -G flag
# for dependency generation and hope for the best.
set(depends_CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS}")
set(CUDA_VERSION @CUDA_VERSION@)
if(CUDA_VERSION VERSION_LESS "3.0")
# Note that this will remove all occurrences of -G.
list(REMOVE_ITEM depends_CUDA_NVCC_FLAGS "-G")
endif()
# nvcc doesn't define __CUDACC__ for some reason when generating dependency files. This
# can cause incorrect dependencies when #including files based on this macro which is
# defined in the generating passes of nvcc invocation. We will go ahead and manually
# define this for now until a future version fixes this bug.
set(CUDACC_DEFINE -D__CUDACC__)
# Generate the dependency file
cuda_execute_process(
"Generating dependency file: ${NVCC_generated_dependency_file}"
COMMAND "${CUDA_NVCC_EXECUTABLE}"
-M
${CUDACC_DEFINE}
"${source_file}"
-o "${NVCC_generated_dependency_file}"
${CCBIN}
${nvcc_flags}
${nvcc_host_compiler_flags}
${depends_CUDA_NVCC_FLAGS}
-DNVCC
${CUDA_NVCC_INCLUDE_ARGS}
)
if(CUDA_result)
message(FATAL_ERROR "Error generating ${generated_file}")
endif()
# Generate the cmake readable dependency file to a temp file. Don't put the
# quotes just around the filenames for the input_file and output_file variables.
# CMake will pass the quotes through and not be able to find the file.
cuda_execute_process(
"Generating temporary cmake readable file: ${cmake_dependency_file}.tmp"
COMMAND "${CMAKE_COMMAND}"
-D "input_file:FILEPATH=${NVCC_generated_dependency_file}"
-D "output_file:FILEPATH=${cmake_dependency_file}.tmp"
-D "verbose=${verbose}"
-P "${CUDA_make2cmake}"
)
if(CUDA_result)
message(FATAL_ERROR "Error generating ${generated_file}")
endif()
# Copy the file if it is different
cuda_execute_process(
"Copy if different ${cmake_dependency_file}.tmp to ${cmake_dependency_file}"
COMMAND "${CMAKE_COMMAND}" -E copy_if_different "${cmake_dependency_file}.tmp" "${cmake_dependency_file}"
)
if(CUDA_result)
message(FATAL_ERROR "Error generating ${generated_file}")
endif()
# Delete the temporary file
cuda_execute_process(
"Removing ${cmake_dependency_file}.tmp and ${NVCC_generated_dependency_file}"
COMMAND "${CMAKE_COMMAND}" -E remove "${cmake_dependency_file}.tmp" "${NVCC_generated_dependency_file}"
)
if(CUDA_result)
message(FATAL_ERROR "Error generating ${generated_file}")
endif()
# Generate the code
cuda_execute_process(
"Generating ${generated_file}"
COMMAND "${CUDA_NVCC_EXECUTABLE}"
"${source_file}"
${cuda_language_flag}
${format_flag} -o "${generated_file}"
${CCBIN}
${nvcc_flags}
${nvcc_host_compiler_flags}
${CUDA_NVCC_FLAGS}
-DNVCC
${CUDA_NVCC_INCLUDE_ARGS}
)
if(CUDA_result)
# Since nvcc can sometimes leave half done files make sure that we delete the output file.
cuda_execute_process(
"Removing ${generated_file}"
COMMAND "${CMAKE_COMMAND}" -E remove "${generated_file}"
)
message(FATAL_ERROR "Error generating file ${generated_file}")
else()
if(verbose)
message("Generated ${generated_file} successfully.")
endif()
endif()
# Cubin resource report commands.
if( build_cubin )
# Run with -cubin to produce resource usage report.
cuda_execute_process(
"Generating ${generated_cubin_file}"
COMMAND "${CUDA_NVCC_EXECUTABLE}"
"${source_file}"
${CUDA_NVCC_FLAGS}
${nvcc_flags}
${CCBIN}
${nvcc_host_compiler_flags}
-DNVCC
-cubin
-o "${generated_cubin_file}"
${CUDA_NVCC_INCLUDE_ARGS}
)
# Execute the parser script.
cuda_execute_process(
"Executing the parser script"
COMMAND "${CMAKE_COMMAND}"
-D "input_file:STRING=${generated_cubin_file}"
-P "${CUDA_parse_cubin}"
)
endif()
cmake_policy(POP)

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# 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 Volta Turing
# 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 7.0 7.2 7.5
# 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 ${ARCH_FLAGS})
#
# More info on CUDA architectures: https://en.wikipedia.org/wiki/CUDA
#
if(CMAKE_CUDA_COMPILER_LOADED) # CUDA as a language
if(CMAKE_CUDA_COMPILER_ID STREQUAL "NVIDIA"
AND CMAKE_CUDA_COMPILER_VERSION MATCHES "^([0-9]+\\.[0-9]+)")
set(CUDA_VERSION "${CMAKE_MATCH_1}")
endif()
endif()
# See: https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#gpu-feature-list
# 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_LESS "7.0")
set(CUDA_LIMIT_GPU_ARCHITECTURE "5.2")
endif()
# This list is used to filter CUDA archs when autodetecting
set(CUDA_ALL_GPU_ARCHITECTURES "3.0" "3.2" "3.5" "5.0")
if(CUDA_VERSION VERSION_GREATER_EQUAL "7.0")
list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Kepler+Tegra" "Kepler+Tesla" "Maxwell+Tegra")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "5.2")
if(CUDA_VERSION VERSION_LESS "8.0")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "5.2+PTX")
set(CUDA_LIMIT_GPU_ARCHITECTURE "6.0")
endif()
endif()
if(CUDA_VERSION VERSION_GREATER_EQUAL "8.0")
list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Pascal")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "6.0" "6.1")
list(APPEND CUDA_ALL_GPU_ARCHITECTURES "6.0" "6.1" "6.2")
if(CUDA_VERSION VERSION_LESS "9.0")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "6.1+PTX")
set(CUDA_LIMIT_GPU_ARCHITECTURE "7.0")
endif()
endif ()
if(CUDA_VERSION VERSION_GREATER_EQUAL "9.0")
list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Volta")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "7.0" "7.0+PTX")
list(APPEND CUDA_ALL_GPU_ARCHITECTURES "7.0" "7.0+PTX" "7.2" "7.2+PTX")
if(CUDA_VERSION VERSION_LESS "10.0")
set(CUDA_LIMIT_GPU_ARCHITECTURE "8.0")
endif()
endif()
if(CUDA_VERSION VERSION_GREATER_EQUAL "10.0")
list(APPEND CUDA_KNOWN_GPU_ARCHITECTURES "Turing")
list(APPEND CUDA_COMMON_GPU_ARCHITECTURES "7.5" "7.5+PTX")
list(APPEND CUDA_ALL_GPU_ARCHITECTURES "7.5" "7.5+PTX")
if(CUDA_VERSION VERSION_LESS "11.0")
set(CUDA_LIMIT_GPU_ARCHITECTURE "9.0")
endif()
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)
if(CMAKE_CUDA_COMPILER_LOADED) # CUDA as a language
set(file "${PROJECT_BINARY_DIR}/detect_cuda_compute_capabilities.cu")
else()
set(file "${PROJECT_BINARY_DIR}/detect_cuda_compute_capabilities.cpp")
endif()
file(WRITE ${file} ""
"#include <cuda_runtime.h>\n"
"#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")
if(CMAKE_CUDA_COMPILER_LOADED) # CUDA as a language
try_run(run_result compile_result ${PROJECT_BINARY_DIR} ${file}
RUN_OUTPUT_VARIABLE compute_capabilities)
else()
try_run(run_result compile_result ${PROJECT_BINARY_DIR} ${file}
CMAKE_FLAGS "-DINCLUDE_DIRECTORIES=${CUDA_INCLUDE_DIRS}"
LINK_LIBRARIES ${CUDA_LIBRARIES}
RUN_OUTPUT_VARIABLE compute_capabilities)
endif()
# Filter unrelated content out of the output.
string(REGEX MATCHALL "[0-9]+\\.[0-9]+" compute_capabilities "${compute_capabilities}")
if(run_result EQUAL 0)
string(REPLACE "2.1" "2.1(2.0)" compute_capabilities "${compute_capabilities}")
set(CUDA_GPU_DETECT_OUTPUT ${compute_capabilities}
CACHE INTERNAL "Returned GPU architectures from detect_gpus tool" FORCE)
endif()
endif()
if(NOT CUDA_GPU_DETECT_OUTPUT)
message(STATUS "Automatic GPU detection failed. Building for common architectures.")
set(${OUT_VARIABLE} ${CUDA_COMMON_GPU_ARCHITECTURES} PARENT_SCOPE)
else()
# Filter based on CUDA version supported archs
set(CUDA_GPU_DETECT_OUTPUT_FILTERED "")
separate_arguments(CUDA_GPU_DETECT_OUTPUT)
foreach(ITEM IN ITEMS ${CUDA_GPU_DETECT_OUTPUT})
if(CUDA_LIMIT_GPU_ARCHITECTURE AND ITEM VERSION_GREATER_EQUAL CUDA_LIMIT_GPU_ARCHITECTURE)
list(GET CUDA_COMMON_GPU_ARCHITECTURES -1 NEWITEM)
string(APPEND CUDA_GPU_DETECT_OUTPUT_FILTERED " ${NEWITEM}")
else()
string(APPEND CUDA_GPU_DETECT_OUTPUT_FILTERED " ${ITEM}")
endif()
endforeach()
set(${OUT_VARIABLE} ${CUDA_GPU_DETECT_OUTPUT_FILTERED} PARENT_SCOPE)
endif()
endfunction()
################################################################################################
# Function for selecting GPU arch flags for nvcc based on CUDA architectures from parameter list
# Usage:
# SELECT_NVCC_ARCH_FLAGS(out_variable [list of CUDA compute archs])
function(CUDA_SELECT_NVCC_ARCH_FLAGS out_variable)
set(CUDA_ARCH_LIST "${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): ${CUDA_ARCH_LIST}")
endif()
# Now process the list and look for names
string(REGEX REPLACE "[ \t]+" ";" CUDA_ARCH_LIST "${CUDA_ARCH_LIST}")
list(REMOVE_DUPLICATES CUDA_ARCH_LIST)
foreach(arch_name ${CUDA_ARCH_LIST})
set(arch_bin)
set(arch_ptx)
set(add_ptx FALSE)
# Check to see if we are compiling PTX
if(arch_name MATCHES "(.*)\\+PTX$")
set(add_ptx TRUE)
set(arch_name ${CMAKE_MATCH_1})
endif()
if(arch_name MATCHES "^([0-9]\\.[0-9](\\([0-9]\\.[0-9]\\))?)$")
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)
elseif(${arch_name} STREQUAL "Volta")
set(arch_bin 7.0 7.0)
set(arch_ptx 7.0)
elseif(${arch_name} STREQUAL "Turing")
set(arch_bin 7.5)
set(arch_ptx 7.5)
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 ${cuda_arch_bin})
if(arch MATCHES "([0-9]+)\\(([0-9]+)\\)")
# User explicitly specified ARCH for the concrete CODE
list(APPEND nvcc_flags -gencode arch=compute_${CMAKE_MATCH_2},code=sm_${CMAKE_MATCH_1})
list(APPEND nvcc_archs_readable sm_${CMAKE_MATCH_1})
else()
# User didn't explicitly specify ARCH for the concrete CODE, we assume ARCH=CODE
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()