mirror of
https://github.com/NVIDIA/nvbench.git
synced 2026-04-19 22:38:52 +00:00
afb9951ed8
1. Download and include CPM.cmake, version 0.42.0 2. Use CPM.make to get Pybind11 3. Update to use pybind11=3.0.0 4. Also use CPM to configure/build nvbench
43 lines
1.5 KiB
CMake
43 lines
1.5 KiB
CMake
cmake_minimum_required(VERSION 3.30...4.0)
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# CUDA is transitive dependency of nvbench
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project(${SKBUILD_PROJECT_NAME} LANGUAGES CXX CUDA)
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find_package(Python REQUIRED COMPONENTS Development.Module)
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find_package(CUDAToolkit REQUIRED)
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# Get CMake package manager
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set(_cpm_download_location ${CMAKE_CURRENT_BINARY_DIR}/cmake/CPM.cmake)
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file(
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DOWNLOAD
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https://github.com/cpm-cmake/CPM.cmake/releases/download/v0.42.0/CPM.cmake
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${_cpm_download_location}
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EXPECTED_HASH SHA256=2020b4fc42dba44817983e06342e682ecfc3d2f484a581f11cc5731fbe4dce8a
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)
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include(${_cpm_download_location})
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CPMAddPackage(
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NAME nvbench
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SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/..
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OPTIONS "NVBench_INSTALL_RULES ON"
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FIND_PACKAGE_ARGS CONFIG REQUIRED
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)
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CPMAddPackage("gh:pybind/pybind11@3.0.0")
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pybind11_add_module(_nvbench MODULE src/py_nvbench.cpp)
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target_link_libraries(_nvbench PUBLIC nvbench::nvbench)
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target_link_libraries(_nvbench PRIVATE CUDA::cudart_static)
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set_target_properties(_nvbench PROPERTIES INSTALL_RPATH "$ORIGIN")
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set_target_properties(_nvbench PROPERTIES INTERPROCEDURAL_OPTIMIZATION ON)
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set_target_properties(_nvbench PROPERTIES POSITION_INDEPENDENT_CODE ON)
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set_target_properties(_nvbench PROPERTIES CXX_STANDARD 20)
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install(TARGETS _nvbench DESTINATION cuda/nvbench)
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# Determine target that nvbench::nvbench is an alias of,
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# necessary because ALIAS targets cannot be installed
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get_target_property(_aliased_target_name nvbench::nvbench ALIASED_TARGET)
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install(IMPORTED_RUNTIME_ARTIFACTS ${_aliased_target_name} DESTINATION cuda/nvbench)
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