44 lines
1.8 KiB
CMake
44 lines
1.8 KiB
CMake
cmake_minimum_required(VERSION 3.21)
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project(llama_cpp)
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option(LLAMA_BUILD "Build llama.cpp shared library and install alongside python package" ON)
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if (LLAMA_BUILD)
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set(BUILD_SHARED_LIBS "On")
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if (APPLE AND NOT CMAKE_SYSTEM_PROCESSOR MATCHES "arm64")
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# Need to disable these llama.cpp flags on Apple x86_64,
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# otherwise users may encounter invalid instruction errors
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set(LLAMA_AVX "Off" CACHE BOOL "llama: enable AVX" FORCE)
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set(LLAMA_AVX2 "Off" CACHE BOOL "llama: enable AVX2" FORCE)
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set(LLAMA_FMA "Off" CACHE BOOL "llama: enable FMA" FORCE)
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set(LLAMA_F16C "Off" CACHE BOOL "llama: enable F16C" FORCE)
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endif()
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add_subdirectory(vendor/llama.cpp)
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install(
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TARGETS llama
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LIBRARY DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp
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RUNTIME DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp
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ARCHIVE DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp
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FRAMEWORK DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp
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RESOURCE DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp
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)
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# Temporary fix for https://github.com/scikit-build/scikit-build-core/issues/374
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install(
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TARGETS llama
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LIBRARY DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp
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RUNTIME DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp
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ARCHIVE DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp
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FRAMEWORK DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp
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RESOURCE DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp
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)
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# Workaround for Windows + CUDA https://github.com/abetlen/llama-cpp-python/issues/563
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install(
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FILES $<TARGET_RUNTIME_DLLS:llama>
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DESTINATION ${SKBUILD_PLATLIB_DIR}/llama_cpp
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)
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install(
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FILES $<TARGET_RUNTIME_DLLS:llama>
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DESTINATION ${CMAKE_CURRENT_SOURCE_DIR}/llama_cpp
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)
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endif()
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