mirror of
https://github.com/NVIDIA/cuda-samples.git
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Merge pull request #5 from XSShawnZeng/tegra_samples_cmake_transition
Tegra samples cmake transition for cudaNvSci and cuDLA samples
This commit is contained in:
Rob Armstrong
GitHub
commit
e8492d1a78
@ -1,3 +1,10 @@
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add_subdirectory(cudaNvSci)
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add_subdirectory(cuDLAErrorReporting)
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add_subdirectory(cuDLAHybridMode)
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add_subdirectory(cuDLALayerwiseStatsHybrid)
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add_subdirectory(cuDLALayerwiseStatsStandalone)
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add_subdirectory(cuDLAStandaloneMode)
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add_subdirectory(fluidsGLES)
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add_subdirectory(nbody_opengles)
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add_subdirectory(nbody_screen)
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add_subdirectory(simpleGLES)
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@ -0,0 +1,43 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(cuDLAErrorReporting LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CUDA_ARCHITECTURES 53 61 70 72 75 80 86 87 90)
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${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_library(CUDLA_LIB cudla PATHS ${CUDAToolkit_LIBRARY_DIR})
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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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if(CUDLA_LIB)
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# Source file
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# Add target for cuDLAErrorReporting
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add_executable(cuDLAErrorReporting main.cu)
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target_compile_options(cuDLAErrorReporting PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(cuDLAErrorReporting PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(cuDLAErrorReporting PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(cuDLAErrorReporting PUBLIC
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${CUDAToolkit_INCLUDE_DIRS}
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)
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target_link_libraries(cuDLAErrorReporting
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${CUDLA_LIB}
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)
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else()
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message(STATUS "CUDLA not found - will not build sample 'cuDLAErrorReporting'")
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endif()
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else()
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message(STATUS "Will not build sample cuDLAErrorReporting - requires Linux OS")
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endif()
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@ -0,0 +1,43 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(cuDLAHybridMode LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CUDA_ARCHITECTURES 53 61 70 72 75 80 86 87 90)
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${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_library(CUDLA_LIB cudla PATHS ${CUDAToolkit_LIBRARY_DIR})
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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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if(CUDLA_LIB)
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# Source file
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# Add target for cuDLAHybridMode
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add_executable(cuDLAHybridMode main.cu)
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target_compile_options(cuDLAHybridMode PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(cuDLAHybridMode PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(cuDLAHybridMode PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(cuDLAHybridMode PUBLIC
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${CUDAToolkit_INCLUDE_DIRS}
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)
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target_link_libraries(cuDLAHybridMode
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${CUDLA_LIB}
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)
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else()
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message(STATUS "CUDLA not found - will not build sample 'cuDLAHybridMode'")
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endif()
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else()
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message(STATUS "Will not build sample cuDLAHybridMode - requires Linux OS")
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endif()
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@ -0,0 +1,43 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(cuDLALayerwiseStatsHybrid LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CUDA_ARCHITECTURES 53 61 70 72 75 80 86 87 90)
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${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_library(CUDLA_LIB cudla PATHS ${CUDAToolkit_LIBRARY_DIR})
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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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if(CUDLA_LIB)
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# Source file
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# Add target for cuDLALayerwiseStatsHybrid
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add_executable(cuDLALayerwiseStatsHybrid main.cu)
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target_compile_options(cuDLALayerwiseStatsHybrid PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(cuDLALayerwiseStatsHybrid PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(cuDLALayerwiseStatsHybrid PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(cuDLALayerwiseStatsHybrid PUBLIC
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${CUDAToolkit_INCLUDE_DIRS}
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)
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target_link_libraries(cuDLALayerwiseStatsHybrid
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${CUDLA_LIB}
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)
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else()
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message(STATUS "CUDLA not found - will not build sample 'cuDLALayerwiseStatsHybrid'")
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endif()
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else()
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message(STATUS "Will not build sample cuDLALayerwiseStatsHybrid - requires Linux OS")
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endif()
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@ -0,0 +1,67 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(cuDLALayerwiseStatsStandalone LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CUDA_ARCHITECTURES 53 61 70 72 75 80 86 87 90)
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${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_library(CUDLA_LIB cudla PATHS ${CUDAToolkit_LIBRARY_DIR})
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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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if(CUDLA_LIB)
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# Find the NVSCI libraries
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# use CMAKE_LIBRARY_PATH so that users can also specify the NVSCI lib path in cmake command
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set(CMAKE_LIBRARY_PATH "/usr/lib" ${CMAKE_LIBRARY_PATH})
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file(GLOB_RECURSE NVSCIBUF_LIB
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${CMAKE_LIBRARY_PATH}/*/libnvscibuf.so
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)
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file(GLOB_RECURSE NVSCISYNC_LIB
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${CMAKE_LIBRARY_PATH}/*/libnvscisync.so
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)
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# Find the NVSCI header files
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# use CMAKE_INCLUDE_PATH so that users can also specify the NVSCI include path in cmake command
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set(CMAKE_INCLUDE_PATH "/usr/include" ${CMAKE_LIBRARY_PATH})
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find_path(NVSCIBUF_INCLUDE_DIR nvscibuf.h PATHS ${CMAKE_INCLUDE_PATH})
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find_path(NVSCISYNC_INCLUDE_DIR nvscisync.h PATHS ${CMAKE_INCLUDE_PATH})
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if(NVSCIBUF_LIB AND NVSCISYNC_LIB AND NVSCIBUF_INCLUDE_DIR AND NVSCISYNC_INCLUDE_DIR)
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# Source file
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# Add target for cuDLALayerwiseStatsStandalone
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add_executable(cuDLALayerwiseStatsStandalone main.cpp)
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target_compile_options(cuDLALayerwiseStatsStandalone PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(cuDLALayerwiseStatsStandalone PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(cuDLALayerwiseStatsStandalone PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(cuDLALayerwiseStatsStandalone PUBLIC
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${CUDAToolkit_INCLUDE_DIRS}
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${NVSCIBUF_INCLUDE_DIR}
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${NVSCISYNC_INCLUDE_DIR}
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)
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target_link_libraries(cuDLALayerwiseStatsStandalone
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${CUDLA_LIB}
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${NVSCIBUF_LIB}
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${NVSCISYNC_LIB}
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)
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else()
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message(STATUS "NvSCI not found - will not build sample 'cuDLALayerwiseStatsStandalone'")
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endif()
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else()
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message(STATUS "CUDLA not found - will not build sample 'cuDLALayerwiseStatsStandalone'")
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endif()
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else()
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message(STATUS "Will not build sample cuDLALayerwiseStatsStandalone - requires Linux OS")
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endif()
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@ -0,0 +1,67 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(cuDLAStandaloneMode LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CUDA_ARCHITECTURES 53 61 70 72 75 80 86 87 90)
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${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_library(CUDLA_LIB cudla PATHS ${CUDAToolkit_LIBRARY_DIR})
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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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if(CUDLA_LIB)
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# Find the NVSCI libraries
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# use CMAKE_LIBRARY_PATH so that users can also specify the NVSCI lib path in cmake command
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set(CMAKE_LIBRARY_PATH "/usr/lib" ${CMAKE_LIBRARY_PATH})
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file(GLOB_RECURSE NVSCIBUF_LIB
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${CMAKE_LIBRARY_PATH}/*/libnvscibuf.so
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)
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file(GLOB_RECURSE NVSCISYNC_LIB
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${CMAKE_LIBRARY_PATH}/*/libnvscisync.so
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)
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# Find the NVSCI header files
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# use CMAKE_INCLUDE_PATH so that users can also specify the NVSCI include path in cmake command
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set(CMAKE_INCLUDE_PATH "/usr/include" ${CMAKE_LIBRARY_PATH})
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find_path(NVSCIBUF_INCLUDE_DIR nvscibuf.h PATHS ${CMAKE_INCLUDE_PATH})
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find_path(NVSCISYNC_INCLUDE_DIR nvscisync.h PATHS ${CMAKE_INCLUDE_PATH})
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if(NVSCIBUF_LIB AND NVSCISYNC_LIB AND NVSCIBUF_INCLUDE_DIR AND NVSCISYNC_INCLUDE_DIR)
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# Source file
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# Add target for cuDLAStandaloneMode
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add_executable(cuDLAStandaloneMode main.cpp)
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target_compile_options(cuDLAStandaloneMode PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(cuDLAStandaloneMode PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(cuDLAStandaloneMode PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(cuDLAStandaloneMode PUBLIC
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${CUDAToolkit_INCLUDE_DIRS}
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${NVSCIBUF_INCLUDE_DIR}
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${NVSCISYNC_INCLUDE_DIR}
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)
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target_link_libraries(cuDLAStandaloneMode
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${CUDLA_LIB}
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${NVSCIBUF_LIB}
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${NVSCISYNC_LIB}
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)
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else()
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message(STATUS "NvSCI not found - will not build sample 'cuDLAStandaloneMode'")
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endif()
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else()
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message(STATUS "CUDLA not found - will not build sample 'cuDLAStandaloneMode'")
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endif()
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else()
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message(STATUS "Will not build sample cuDLAStandaloneMode - requires Linux OS")
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endif()
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73
Samples/8_Platform_Specific/Tegra/cudaNvSci/CMakeLists.txt
Normal file
73
Samples/8_Platform_Specific/Tegra/cudaNvSci/CMakeLists.txt
Normal file
@ -0,0 +1,73 @@
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cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(cudaNvSci LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CUDA_ARCHITECTURES 53 61 70 72 75 80 86 87 90)
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${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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if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
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# Find the NVSCI libraries
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# use CMAKE_LIBRARY_PATH so that users can also specify the NVSCI lib path in cmake command
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set(CMAKE_LIBRARY_PATH "/usr/lib" ${CMAKE_LIBRARY_PATH})
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file(GLOB_RECURSE NVSCIBUF_LIB
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${CMAKE_LIBRARY_PATH}/*/libnvscibuf.so
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)
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file(GLOB_RECURSE NVSCISYNC_LIB
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${CMAKE_LIBRARY_PATH}/*/libnvscisync.so
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)
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# Find the NVSCI header files
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# use CMAKE_INCLUDE_PATH so that users can also specify the NVSCI include path in cmake command
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set(CMAKE_INCLUDE_PATH "/usr/include" ${CMAKE_LIBRARY_PATH})
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find_path(NVSCIBUF_INCLUDE_DIR nvscibuf.h PATHS ${CMAKE_INCLUDE_PATH})
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find_path(NVSCISYNC_INCLUDE_DIR nvscisync.h PATHS ${CMAKE_INCLUDE_PATH})
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if(NVSCIBUF_LIB AND NVSCISYNC_LIB AND NVSCIBUF_INCLUDE_DIR AND NVSCISYNC_INCLUDE_DIR)
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message(STATUS "FOUND NVSCI libs: ${NVSCIBUF_LIB} ${NVSCISYNC_LIB}")
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message(STATUS "Using NVSCI headers path: ${NVSCIBUF_INCLUDE_DIR} ${NVSCIBUF_INCLUDE_DIR}")
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# Source file
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# Add target for cudaNvSci
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add_executable(cudaNvSci imageKernels.cu cudaNvSci.cpp main.cpp)
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target_compile_options(cudaNvSci PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:--extended-lambda>)
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target_compile_features(cudaNvSci PRIVATE cxx_std_17 cuda_std_17)
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set_target_properties(cudaNvSci PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(cudaNvSci PUBLIC
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${CUDAToolkit_INCLUDE_DIRS}
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${NVSCIBUF_INCLUDE_DIR}
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${NVSCISYNC_INCLUDE_DIR}
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)
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target_link_libraries(cudaNvSci
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CUDA::cuda_driver
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${NVSCIBUF_LIB}
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${NVSCISYNC_LIB}
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)
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# Copy teapot1024.ppm to the output directory
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add_custom_command(TARGET cudaNvSci POST_BUILD
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COMMAND ${CMAKE_COMMAND} -E copy_if_different
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${CMAKE_CURRENT_SOURCE_DIR}/teapot1024.ppm ${CMAKE_CURRENT_BINARY_DIR}/teapot1024.ppm
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)
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# Specify additional clean files
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set_target_properties(cudaNvSci PROPERTIES
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ADDITIONAL_CLEAN_FILES "teapot1024_out.ppm"
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)
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else()
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message(STATUS "NvSCI not found - will not build sample 'cudaNvSci'")
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endif()
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else()
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message(STATUS "Will not build sample cudaNvSci - requires Linux OS")
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endif()
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