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https://github.com/NVIDIA/cuda-samples.git
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59 lines
1.8 KiB
CMake
59 lines
1.8 KiB
CMake
cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/../../../cmake/Modules")
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project(imageDenoising LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_POSITION_INDEPENDENT_CODE ON)
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set(CMAKE_CUDA_ARCHITECTURES 50 52 60 61 70 72 75 80 86 87 89 90 100 101 120)
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set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Wno-deprecated-gpu-targets")
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G") # enable cuda-gdb (expensive)
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endif()
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# Include directories and libraries
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include_directories(../../../Common)
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find_package(OpenGL)
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find_package(GLUT)
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# Source file
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if(${OpenGL_FOUND})
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if (${GLUT_FOUND})
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# Add target for imageDenoising
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add_executable(imageDenoising bmploader.cpp imageDenoising.cu imageDenoisingGL.cpp)
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target_compile_options(imageDenoising PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(imageDenoising PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(imageDenoising PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(imageDenoising PUBLIC
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${OPENGL_INCLUDE_DIR}
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${CUDAToolkit_INCLUDE_DIRS}
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${GLUT_INCLUDE_DIRS}
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)
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target_link_libraries(imageDenoising
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${OPENGL_LIBRARIES}
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${GLUT_LIBRARIES}
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)
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# Copy clock_kernel.cu to the output directory
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add_custom_command(TARGET imageDenoising POST_BUILD
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COMMAND ${CMAKE_COMMAND} -E copy_directory
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${CMAKE_CURRENT_SOURCE_DIR}/data
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${CMAKE_CURRENT_BINARY_DIR}/data
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)
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else()
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message(STATUS "GLUT not found - will not build sample 'imageDenoising'")
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endif()
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else()
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message(STATUS "OpenGL not found - will not build sample 'imageDenoising'")
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endif()
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