CMakeLists.txt

cmake_minimum_required(VERSION 3.21)

project(llama_cpp)

option(LLAMA_BUILD "Build llama.cpp shared library and install alongside python package" ON)


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