llama.cpp/CMakeLists.txt
2023-09-29 23:28:45 -04:00

44 lines
1.8 KiB
CMake

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()