dmlc--dgl
xiangyuzhi
0c3a4428c1
Co-authored-by: Ubuntu <ubuntu@ip-172-31-40-250.ap-northeast-1.compute.internal>
97 行
3.5 KiB
CMake
97 行
3.5 KiB
CMake
cmake_minimum_required(VERSION 3.18)
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project(graphbolt C CXX)
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set (CMAKE_CXX_STANDARD 17)
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if(USE_CUDA)
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message(STATUS "Build graphbolt with CUDA support")
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enable_language(CUDA)
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add_definitions(-DGRAPHBOLT_USE_CUDA)
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endif()
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# For windows, define NOMINMAX to avoid conflict with std::min/max
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if(MSVC)
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add_definitions(-DNOMINMAX)
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endif()
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# Find PyTorch cmake files and PyTorch versions with the python interpreter
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# $PYTHON_INTERP ("python3" or "python" if empty)
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if(NOT PYTHON_INTERP)
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find_program(PYTHON_INTERP NAMES python3 python)
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endif()
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message(STATUS "Using Python interpreter: ${PYTHON_INTERP}")
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file(TO_NATIVE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/find_cmake.py FIND_CMAKE_PY)
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execute_process(
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COMMAND ${PYTHON_INTERP} ${FIND_CMAKE_PY}
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OUTPUT_VARIABLE TORCH_PREFIX_VER
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OUTPUT_STRIP_TRAILING_WHITESPACE
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)
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message(STATUS "find_cmake.py output: ${TORCH_PREFIX_VER}")
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list(GET TORCH_PREFIX_VER 0 TORCH_PREFIX)
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list(GET TORCH_PREFIX_VER 1 TORCH_VER)
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message(STATUS "Configuring for PyTorch ${TORCH_VER}")
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string(REPLACE "." ";" TORCH_VERSION_LIST ${TORCH_VER})
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set(Torch_DIR "${TORCH_PREFIX}/Torch")
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message(STATUS "Setting directory to ${Torch_DIR}")
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find_package(Torch REQUIRED)
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set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${TORCH_C_FLAGS}")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
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set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -O0 -g3 -ggdb")
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set(LIB_GRAPHBOLT_NAME "graphbolt_pytorch_${TORCH_VER}")
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set(BOLT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/src")
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set(BOLT_INCLUDE "${CMAKE_CURRENT_SOURCE_DIR}/include")
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file(GLOB BOLT_HEADERS ${BOLT_INCLUDE})
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file(GLOB BOLT_SRC ${BOLT_DIR}/*.cc)
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if(USE_CUDA)
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file(GLOB BOLT_CUDA_SRC
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${BOLT_DIR}/cuda/*.cu
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${BOLT_DIR}/cuda/*.cc
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)
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list(APPEND BOLT_SRC ${BOLT_CUDA_SRC})
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if(DEFINED ENV{CUDAARCHS})
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set(CMAKE_CUDA_ARCHITECTURES $ENV{CUDAARCHS})
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endif()
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endif()
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add_library(${LIB_GRAPHBOLT_NAME} SHARED ${BOLT_SRC} ${BOLT_HEADERS})
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target_include_directories(${LIB_GRAPHBOLT_NAME} PRIVATE ${BOLT_DIR}
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${BOLT_HEADERS}
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"../third_party/dmlc-core/include"
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"../third_party/pcg/include")
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target_link_libraries(${LIB_GRAPHBOLT_NAME} "${TORCH_LIBRARIES}")
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if(USE_CUDA)
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set_target_properties(${LIB_GRAPHBOLT_NAME} PROPERTIES CUDA_STANDARD 17)
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message(STATUS "Use external CCCL library for a consistent API and performance for graphbolt.")
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target_include_directories(${LIB_GRAPHBOLT_NAME} PRIVATE
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"../third_party/cccl/thrust"
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"../third_party/cccl/cub"
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"../third_party/cccl/libcudacxx/include")
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message(STATUS "Use HugeCTR gpu_cache for graphbolt with INCLUDE_DIRS $ENV{GPU_CACHE_INCLUDE_DIRS}.")
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target_include_directories(${LIB_GRAPHBOLT_NAME} PRIVATE $ENV{GPU_CACHE_INCLUDE_DIRS})
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target_link_directories(${LIB_GRAPHBOLT_NAME} PRIVATE ${GPU_CACHE_BUILD_DIR})
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target_link_libraries(${LIB_GRAPHBOLT_NAME} gpu_cache)
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get_property(archs TARGET ${LIB_GRAPHBOLT_NAME} PROPERTY CUDA_ARCHITECTURES)
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message(STATUS "CUDA_ARCHITECTURES for graphbolt: ${archs}")
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endif()
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# The Torch CMake configuration only sets up the path for the MKL library when
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# using the conda distribution. The following is a workaround to address this
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# when using a standalone installation of MKL.
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if(DEFINED MKL_LIBRARIES)
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target_link_directories(${LIB_GRAPHBOLT_NAME} PRIVATE
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${MKL_ROOT}/lib/${MKL_ARCH})
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endif()
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target_include_directories(${LIB_GRAPHBOLT_NAME} PRIVATE ${LIBURING_INCLUDE})
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target_link_libraries(${LIB_GRAPHBOLT_NAME} ${LIBURING})
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