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authorBrad King <brad.king@kitware.com>2023-09-14 15:49:20 (GMT)
committerBrad King <brad.king@kitware.com>2023-09-21 19:34:28 (GMT)
commitc16f1e2b938918c4c8c917c713d09eb6af36ce3b (patch)
treed7278d331cd0a036598c845717bd07465aa1cc1d /Modules/Internal
parenta6841a967bc933101a351597b5b09363287ddfa6 (diff)
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CUDA: Factor out helper to find CUDA Toolkit for compiler
Prepare to use it for other languages.
Diffstat (limited to 'Modules/Internal')
-rw-r--r--Modules/Internal/CMakeCUDAFindToolkit.cmake173
1 files changed, 173 insertions, 0 deletions
diff --git a/Modules/Internal/CMakeCUDAFindToolkit.cmake b/Modules/Internal/CMakeCUDAFindToolkit.cmake
new file mode 100644
index 0000000..58d1e55
--- /dev/null
+++ b/Modules/Internal/CMakeCUDAFindToolkit.cmake
@@ -0,0 +1,173 @@
+# Distributed under the OSI-approved BSD 3-Clause License. See accompanying
+# file Copyright.txt or https://cmake.org/licensing for details.
+
+macro(cmake_cuda_find_toolkit lang lang_var_)
+ # This is very similar to FindCUDAToolkit, but somewhat simplified since we can issue fatal errors
+ # if we fail and we don't need to account for searching the libraries.
+
+ # For NVCC we can easily deduce the SDK binary directory from the compiler path.
+ if(CMAKE_${lang}_COMPILER_ID STREQUAL "NVIDIA")
+ set(_CUDA_NVCC_EXECUTABLE "${CMAKE_${lang}_COMPILER}")
+ else()
+ # Search using CUDAToolkit_ROOT and then CUDA_PATH for equivalence with FindCUDAToolkit.
+ # In FindCUDAToolkit CUDAToolkit_ROOT is searched automatically due to being in a find_package().
+ # First we search candidate non-default paths to give them priority.
+ find_program(_CUDA_NVCC_EXECUTABLE
+ NAMES nvcc nvcc.exe
+ PATHS ${CUDAToolkit_ROOT}
+ ENV CUDAToolkit_ROOT
+ ENV CUDA_PATH
+ PATH_SUFFIXES bin
+ NO_DEFAULT_PATH
+ NO_CACHE
+ )
+
+ # If we didn't find NVCC, then try the default paths.
+ find_program(_CUDA_NVCC_EXECUTABLE
+ NAMES nvcc nvcc.exe
+ PATH_SUFFIXES bin
+ NO_CACHE
+ )
+
+ # If the user specified CUDAToolkit_ROOT but nvcc could not be found, this is an error.
+ if(NOT _CUDA_NVCC_EXECUTABLE AND (DEFINED CUDAToolkit_ROOT OR DEFINED ENV{CUDAToolkit_ROOT}))
+ set(fail_base "Could not find nvcc executable in path specified by")
+
+ if(DEFINED CUDAToolkit_ROOT)
+ message(FATAL_ERROR "${fail_base} CUDAToolkit_ROOT=${CUDAToolkit_ROOT}")
+ elseif(DEFINED ENV{CUDAToolkit_ROOT})
+ message(FATAL_ERROR "${fail_base} environment variable CUDAToolkit_ROOT=$ENV{CUDAToolkit_ROOT}")
+ endif()
+ endif()
+
+ # CUDAToolkit_ROOT cmake/env variable not specified, try platform defaults.
+ #
+ # - Linux: /usr/local/cuda-X.Y
+ # - macOS: /Developer/NVIDIA/CUDA-X.Y
+ # - Windows: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y
+ #
+ # We will also search the default symlink location /usr/local/cuda first since
+ # if CUDAToolkit_ROOT is not specified, it is assumed that the symlinked
+ # directory is the desired location.
+ if(NOT _CUDA_NVCC_EXECUTABLE)
+ if(UNIX)
+ if(NOT APPLE)
+ set(platform_base "/usr/local/cuda-")
+ else()
+ set(platform_base "/Developer/NVIDIA/CUDA-")
+ endif()
+ else()
+ set(platform_base "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v")
+ endif()
+
+ # Build out a descending list of possible cuda installations, e.g.
+ file(GLOB possible_paths "${platform_base}*")
+ # Iterate the glob results and create a descending list.
+ set(versions)
+ foreach(p ${possible_paths})
+ # Extract version number from end of string
+ string(REGEX MATCH "[0-9][0-9]?\\.[0-9]$" p_version ${p})
+ if(IS_DIRECTORY ${p} AND p_version)
+ list(APPEND versions ${p_version})
+ endif()
+ endforeach()
+
+ # Sort numerically in descending order, so we try the newest versions first.
+ list(SORT versions COMPARE NATURAL ORDER DESCENDING)
+
+ # With a descending list of versions, populate possible paths to search.
+ set(search_paths)
+ foreach(v ${versions})
+ list(APPEND search_paths "${platform_base}${v}")
+ endforeach()
+
+ # Force the global default /usr/local/cuda to the front on Unix.
+ if(UNIX)
+ list(INSERT search_paths 0 "/usr/local/cuda")
+ endif()
+
+ # Now search for nvcc again using the platform default search paths.
+ find_program(_CUDA_NVCC_EXECUTABLE
+ NAMES nvcc nvcc.exe
+ PATHS ${search_paths}
+ PATH_SUFFIXES bin
+ NO_CACHE
+ )
+
+ # We are done with these variables now, cleanup.
+ unset(platform_base)
+ unset(possible_paths)
+ unset(versions)
+ unset(search_paths)
+
+ if(NOT _CUDA_NVCC_EXECUTABLE)
+ message(FATAL_ERROR "Failed to find nvcc.\nCompiler ${CMAKE_${lang}_COMPILER_ID} requires the CUDA toolkit. Please set the CUDAToolkit_ROOT variable.")
+ endif()
+ endif()
+ endif()
+
+ # Given that NVCC can be provided by multiple different sources (NVIDIA HPC SDK, CUDA Toolkit, distro)
+ # each of which has a different layout, we need to extract the CUDA toolkit root from the compiler
+ # itself, allowing us to support numerous different scattered toolkit layouts
+ execute_process(COMMAND ${_CUDA_NVCC_EXECUTABLE} "-v" "__cmake_determine_cuda"
+ OUTPUT_VARIABLE _CUDA_NVCC_OUT ERROR_VARIABLE _CUDA_NVCC_OUT)
+ if(_CUDA_NVCC_OUT MATCHES "\\#\\$ TOP=([^\r\n]*)")
+ get_filename_component(${lang_var_}TOOLKIT_ROOT "${CMAKE_MATCH_1}" ABSOLUTE)
+ else()
+ get_filename_component(${lang_var_}TOOLKIT_ROOT "${_CUDA_NVCC_EXECUTABLE}" DIRECTORY)
+ get_filename_component(${lang_var_}TOOLKIT_ROOT "${${lang_var_}TOOLKIT_ROOT}" DIRECTORY)
+ endif()
+
+ if(_CUDA_NVCC_OUT MATCHES "\\#\\$ NVVMIR_LIBRARY_DIR=([^\r\n]*)")
+ get_filename_component(_CUDA_NVVMIR_LIBRARY_DIR "${CMAKE_MATCH_1}" ABSOLUTE)
+
+ #We require the path to end in `/nvvm/libdevice'
+ if(_CUDA_NVVMIR_LIBRARY_DIR MATCHES "nvvm/libdevice$")
+ get_filename_component(_CUDA_NVVMIR_LIBRARY_DIR "${_CUDA_NVVMIR_LIBRARY_DIR}/../.." ABSOLUTE)
+ set(_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR "${_CUDA_NVVMIR_LIBRARY_DIR}")
+ endif()
+
+ unset(_CUDA_NVVMIR_LIBRARY_DIR)
+ unset(_cuda_nvvmir_dir_name)
+ endif()
+ unset(_CUDA_NVCC_OUT)
+
+ # In a non-scattered installation the following are equivalent to ${lang_var_}TOOLKIT_ROOT.
+ # We first check for a non-scattered installation to prefer it over a scattered installation.
+
+ # ${lang_var_}LIBRARY_ROOT contains the device library.
+ if(DEFINED _CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR)
+ set(${lang_var_}LIBRARY_ROOT "${_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR}")
+ elseif(EXISTS "${${lang_var_}TOOLKIT_ROOT}/nvvm/libdevice")
+ set(${lang_var_}LIBRARY_ROOT "${${lang_var_}TOOLKIT_ROOT}")
+ elseif(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/cuda/nvvm/libdevice")
+ set(${lang_var_}LIBRARY_ROOT "${CMAKE_SYSROOT_LINK}/usr/lib/cuda")
+ elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/cuda/nvvm/libdevice")
+ set(${lang_var_}LIBRARY_ROOT "${CMAKE_SYSROOT}/usr/lib/cuda")
+ else()
+ message(FATAL_ERROR "Couldn't find CUDA library root.")
+ endif()
+ unset(_CUDA_COMPILER_LIBRARY_ROOT_FROM_NVVMIR_LIBRARY_DIR)
+
+ # ${lang_var_}TOOLKIT_LIBRARY_ROOT contains the linking stubs necessary for device linking and other low-level library files.
+ if(CMAKE_SYSROOT_LINK AND EXISTS "${CMAKE_SYSROOT_LINK}/usr/lib/nvidia-cuda-toolkit/bin/crt/link.stub")
+ set(${lang_var_}TOOLKIT_LIBRARY_ROOT "${CMAKE_SYSROOT_LINK}/usr/lib/nvidia-cuda-toolkit")
+ elseif(EXISTS "${CMAKE_SYSROOT}/usr/lib/nvidia-cuda-toolkit/bin/crt/link.stub")
+ set(${lang_var_}TOOLKIT_LIBRARY_ROOT "${CMAKE_SYSROOT}/usr/lib/nvidia-cuda-toolkit")
+ else()
+ set(${lang_var_}TOOLKIT_LIBRARY_ROOT "${${lang_var_}TOOLKIT_ROOT}")
+ endif()
+
+ # For regular nvcc we the toolkit version is the same as the compiler version and we can parse it from the vendor test output.
+ # For Clang we need to invoke nvcc to get version output.
+ if(CMAKE_${lang}_COMPILER_ID STREQUAL "Clang")
+ execute_process(COMMAND ${_CUDA_NVCC_EXECUTABLE} "--version" OUTPUT_VARIABLE CMAKE_${lang}_COMPILER_ID_OUTPUT)
+ endif()
+
+ if(CMAKE_${lang}_COMPILER_ID_OUTPUT MATCHES [=[V([0-9]+\.[0-9]+\.[0-9]+)]=])
+ set(${lang_var_}TOOLKIT_VERSION "${CMAKE_MATCH_1}")
+ endif()
+
+ # Don't leak variables unnecessarily to user code.
+ unset(_CUDA_NVCC_EXECUTABLE)
+endmacro()