cmake_minimum_required(VERSION 3.20) list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules") project(cubDeviceTransform LANGUAGES C CXX CUDA) # Disable response file for libraries on QNX as qcc does not support lib paths with double quotes if(CMAKE_SYSTEM_NAME STREQUAL "QNX") set(CMAKE_CUDA_USE_RESPONSE_FILE_FOR_LIBRARIES OFF) endif() find_package(CUDAToolkit REQUIRED) set(CMAKE_POSITION_INDEPENDENT_CODE ON) set(CMAKE_CUDA_ARCHITECTURES 75 80 86 87 89 90 100 110 120) set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wno-deprecated-gpu-targets") if(ENABLE_CUDA_DEBUG) set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G") # enable cuda-gdb (may significantly affect performance on some targets) else() set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -lineinfo") # add line information to all builds for debug tools (exclusive to -G option) endif() # Fetch CCCL via CPM. # Override with -DCCCL_SOURCE_DIR=/path/to/cccl to use a local checkout set(CCCL_SAMPLES_CCCL_TAG "v3.3.3" CACHE STRING "Tag/branch of NVIDIA/cccl to fetch for the CCCL samples") if(NOT TARGET CCCL::CCCL) include("${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/CPM.cmake") if(DEFINED CCCL_SOURCE_DIR AND NOT CCCL_SOURCE_DIR STREQUAL "") CPMAddPackage(NAME CCCL SOURCE_DIR "${CCCL_SOURCE_DIR}") else() CPMAddPackage( NAME CCCL GIT_REPOSITORY "https://github.com/NVIDIA/cccl" GIT_TAG "${CCCL_SAMPLES_CCCL_TAG}" ) endif() endif() # Include directories and libraries include_directories(../../../Common) # Source file # Add target for cubDeviceTransform add_executable(cubDeviceTransform cubDeviceTransform.cu) target_compile_options(cubDeviceTransform PRIVATE $<$:--extended-lambda>) target_compile_features(cubDeviceTransform PRIVATE cxx_std_17 cuda_std_17) set_target_properties(cubDeviceTransform PROPERTIES CUDA_SEPARABLE_COMPILATION ON) target_link_libraries(cubDeviceTransform PRIVATE CUDA::cudart CCCL::CCCL ) # Include installation configuration include(${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/InstallSamples.cmake) setup_samples_install()