cmake_minimum_required(VERSION 3.14) # for add_link_options and implicit target directories. project("llama.cpp" C CXX) set(CMAKE_EXPORT_COMPILE_COMMANDS ON) if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE) set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE) set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo") endif() set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin) if (CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR) set(LLAMA_STANDALONE ON) # configure project version # TODO else() set(LLAMA_STANDALONE OFF) endif() if (EMSCRIPTEN) set(BUILD_SHARED_LIBS_DEFAULT OFF) option(LLAMA_WASM_SINGLE_FILE "llama: embed WASM inside the generated llama.js" ON) else() if (MINGW) set(BUILD_SHARED_LIBS_DEFAULT OFF) else() set(BUILD_SHARED_LIBS_DEFAULT ON) endif() endif() # # Option list # if (APPLE) set(LLAMA_METAL_DEFAULT ON) else() set(LLAMA_METAL_DEFAULT OFF) endif() # general option(BUILD_SHARED_LIBS "build shared libraries" OFF) option(LLAMA_STATIC "llama: static link libraries" OFF) option(LLAMA_NATIVE "llama: enable -march=native flag" ON) option(LLAMA_LTO "llama: enable link time optimization" OFF) # debug option(LLAMA_ALL_WARNINGS "llama: enable all compiler warnings" ON) option(LLAMA_ALL_WARNINGS_3RD_PARTY "llama: enable all compiler warnings in 3rd party libs" OFF) option(LLAMA_GPROF "llama: enable gprof" OFF) # sanitizers option(LLAMA_SANITIZE_THREAD "llama: enable thread sanitizer" OFF) option(LLAMA_SANITIZE_ADDRESS "llama: enable address sanitizer" OFF) option(LLAMA_SANITIZE_UNDEFINED "llama: enable undefined sanitizer" OFF) # instruction set specific if (LLAMA_NATIVE) set(INS_ENB OFF) else() set(INS_ENB ON) endif() option(LLAMA_AVX "llama: enable AVX" ${INS_ENB}) option(LLAMA_AVX2 "llama: enable AVX2" ${INS_ENB}) option(LLAMA_AVX512 "llama: enable AVX512" OFF) option(LLAMA_AVX512_VBMI "llama: enable AVX512-VBMI" OFF) option(LLAMA_AVX512_VNNI "llama: enable AVX512-VNNI" OFF) option(LLAMA_FMA "llama: enable FMA" ${INS_ENB}) # in MSVC F16C is implied with AVX2/AVX512 if (NOT MSVC) option(LLAMA_F16C "llama: enable F16C" ${INS_ENB}) endif() if (WIN32) option(LLAMA_WIN_VER "llama: Windows Version" 0x602) endif() # 3rd party libs option(LLAMA_ACCELERATE "llama: enable Accelerate framework" ON) option(LLAMA_BLAS "llama: use BLAS" OFF) set(LLAMA_BLAS_VENDOR "Generic" CACHE STRING "llama: BLAS library vendor") option(LLAMA_CUBLAS "llama: use CUDA" OFF) #option(LLAMA_CUDA_CUBLAS "llama: use cuBLAS for prompt processing" OFF) option(LLAMA_CUDA_FORCE_DMMV "llama: use dmmv instead of mmvq CUDA kernels" OFF) option(LLAMA_CUDA_FORCE_MMQ "llama: use mmq kernels instead of cuBLAS" OFF) set(LLAMA_CUDA_DMMV_X "32" CACHE STRING "llama: x stride for dmmv CUDA kernels") set(LLAMA_CUDA_MMV_Y "1" CACHE STRING "llama: y block size for mmv CUDA kernels") option(LLAMA_CUDA_F16 "llama: use 16 bit floats for some calculations" OFF) set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K") set(LLAMA_CUDA_PEER_MAX_BATCH_SIZE "128" CACHE STRING "llama: max. batch size for using peer access") option(LLAMA_HIPBLAS "llama: use hipBLAS" OFF) option(LLAMA_HIP_UMA "llama: use HIP unified memory architecture" OFF) option(LLAMA_CLBLAST "llama: use CLBlast" OFF) option(LLAMA_METAL "llama: use Metal" ${LLAMA_METAL_DEFAULT}) option(LLAMA_METAL_NDEBUG "llama: disable Metal debugging" OFF) option(LLAMA_METAL_SHADER_DEBUG "llama: compile Metal with -fno-fast-math" OFF) option(LLAMA_MPI "llama: use MPI" OFF) option(LLAMA_QKK_64 "llama: use super-block size of 64 for k-quants" OFF) option(LLAMA_BUILD_TESTS "llama: build tests" ${LLAMA_STANDALONE}) option(LLAMA_BUILD_EXAMPLES "llama: build examples" ${LLAMA_STANDALONE}) option(LLAMA_BUILD_SERVER "llama: build server example" ON) # Required for relocatable CMake package include(${CMAKE_CURRENT_SOURCE_DIR}/scripts/build-info.cmake) # # Compile flags # set(CMAKE_CXX_STANDARD 11) set(CMAKE_CXX_STANDARD_REQUIRED true) set(CMAKE_C_STANDARD 11) set(CMAKE_C_STANDARD_REQUIRED true) set(THREADS_PREFER_PTHREAD_FLAG ON) find_package(Threads REQUIRED) include(CheckCXXCompilerFlag) # enable libstdc++ assertions for debug builds if (CMAKE_SYSTEM_NAME MATCHES "Linux") add_compile_definitions($<$:_GLIBCXX_ASSERTIONS>) endif() if (NOT MSVC) if (LLAMA_SANITIZE_THREAD) add_compile_options(-fsanitize=thread) link_libraries(-fsanitize=thread) endif() if (LLAMA_SANITIZE_ADDRESS) add_compile_options(-fsanitize=address -fno-omit-frame-pointer) link_libraries(-fsanitize=address) endif() if (LLAMA_SANITIZE_UNDEFINED) add_compile_options(-fsanitize=undefined) link_libraries(-fsanitize=undefined) endif() endif() if (APPLE AND LLAMA_ACCELERATE) find_library(ACCELERATE_FRAMEWORK Accelerate) if (ACCELERATE_FRAMEWORK) message(STATUS "Accelerate framework found") add_compile_definitions(GGML_USE_ACCELERATE) add_compile_definitions(ACCELERATE_NEW_LAPACK) add_compile_definitions(ACCELERATE_LAPACK_ILP64) set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${ACCELERATE_FRAMEWORK}) else() message(WARNING "Accelerate framework not found") endif() endif() if (LLAMA_METAL) find_library(FOUNDATION_LIBRARY Foundation REQUIRED) find_library(METAL_FRAMEWORK Metal REQUIRED) find_library(METALKIT_FRAMEWORK MetalKit REQUIRED) message(STATUS "Metal framework found") set(GGML_HEADERS_METAL ggml-metal.h) set(GGML_SOURCES_METAL ggml-metal.m) add_compile_definitions(GGML_USE_METAL) if (LLAMA_METAL_NDEBUG) add_compile_definitions(GGML_METAL_NDEBUG) endif() # get full path to the file #add_compile_definitions(GGML_METAL_DIR_KERNELS="${CMAKE_CURRENT_SOURCE_DIR}/") # copy ggml-metal.metal to bin directory configure_file(ggml-metal.metal ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/ggml-metal.metal COPYONLY) if (LLAMA_METAL_SHADER_DEBUG) # custom command to do the following: # xcrun -sdk macosx metal -fno-fast-math -c ggml-metal.metal -o ggml-metal.air # xcrun -sdk macosx metallib ggml-metal.air -o default.metallib # # note: this is the only way I found to disable fast-math in Metal. it's ugly, but at least it works # disabling fast math is needed in order to pass tests/test-backend-ops # note: adding -fno-inline fixes the tests when using MTL_SHADER_VALIDATION=1 # note: unfortunately, we have to call it default.metallib instead of ggml.metallib # ref: https://github.com/ggerganov/whisper.cpp/issues/1720 set(XC_FLAGS -fno-fast-math -fno-inline -g) if (LLAMA_QKK_64) set(XC_FLAGS ${XC_FLAGS} -DQK_K=64) endif() add_custom_command( OUTPUT ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/default.metallib COMMAND xcrun -sdk macosx metal ${XC_FLAGS} -c ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/ggml-metal.metal -o ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/ggml-metal.air COMMAND xcrun -sdk macosx metallib ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/ggml-metal.air -o ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/default.metallib DEPENDS ggml-metal.metal COMMENT "Compiling Metal kernels" ) add_custom_target( ggml-metal ALL DEPENDS ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/default.metallib ) endif() set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${FOUNDATION_LIBRARY} ${METAL_FRAMEWORK} ${METALKIT_FRAMEWORK} ) endif() if (LLAMA_BLAS) if (LLAMA_STATIC) set(BLA_STATIC ON) endif() if ($(CMAKE_VERSION) VERSION_GREATER_EQUAL 3.22) set(BLA_SIZEOF_INTEGER 8) endif() set(BLA_VENDOR ${LLAMA_BLAS_VENDOR}) find_package(BLAS) if (BLAS_FOUND) message(STATUS "BLAS found, Libraries: ${BLAS_LIBRARIES}") if ("${BLAS_INCLUDE_DIRS}" STREQUAL "") # BLAS_INCLUDE_DIRS is missing in FindBLAS.cmake. # see https://gitlab.kitware.com/cmake/cmake/-/issues/20268 find_package(PkgConfig REQUIRED) if (${LLAMA_BLAS_VENDOR} MATCHES "Generic") pkg_check_modules(DepBLAS REQUIRED blas) elseif (${LLAMA_BLAS_VENDOR} MATCHES "OpenBLAS") # As of openblas v0.3.22, the 64-bit is named openblas64.pc pkg_check_modules(DepBLAS openblas64) if (NOT DepBLAS_FOUND) pkg_check_modules(DepBLAS REQUIRED openblas) endif() elseif (${LLAMA_BLAS_VENDOR} MATCHES "FLAME") pkg_check_modules(DepBLAS REQUIRED blis) elseif (${LLAMA_BLAS_VENDOR} MATCHES "ATLAS") pkg_check_modules(DepBLAS REQUIRED blas-atlas) elseif (${LLAMA_BLAS_VENDOR} MATCHES "FlexiBLAS") pkg_check_modules(DepBLAS REQUIRED flexiblas_api) elseif (${LLAMA_BLAS_VENDOR} MATCHES "Intel") # all Intel* libraries share the same include path pkg_check_modules(DepBLAS REQUIRED mkl-sdl) elseif (${LLAMA_BLAS_VENDOR} MATCHES "NVHPC") # this doesn't provide pkg-config # suggest to assign BLAS_INCLUDE_DIRS on your own if ("${NVHPC_VERSION}" STREQUAL "") message(WARNING "Better to set NVHPC_VERSION") else() set(DepBLAS_FOUND ON) set(DepBLAS_INCLUDE_DIRS "/opt/nvidia/hpc_sdk/${CMAKE_SYSTEM_NAME}_${CMAKE_SYSTEM_PROCESSOR}/${NVHPC_VERSION}/math_libs/include") endif() endif() if (DepBLAS_FOUND) set(BLAS_INCLUDE_DIRS ${DepBLAS_INCLUDE_DIRS}) else() message(WARNING "BLAS_INCLUDE_DIRS neither been provided nor been automatically" " detected by pkgconfig, trying to find cblas.h from possible paths...") find_path(BLAS_INCLUDE_DIRS NAMES cblas.h HINTS /usr/include /usr/local/include /usr/include/openblas /opt/homebrew/opt/openblas/include /usr/local/opt/openblas/include /usr/include/x86_64-linux-gnu/openblas/include ) endif() endif() message(STATUS "BLAS found, Includes: ${BLAS_INCLUDE_DIRS}") add_compile_options(${BLAS_LINKER_FLAGS}) add_compile_definitions(GGML_USE_OPENBLAS) if (${BLAS_INCLUDE_DIRS} MATCHES "mkl" AND (${LLAMA_BLAS_VENDOR} MATCHES "Generic" OR ${LLAMA_BLAS_VENDOR} MATCHES "Intel")) add_compile_definitions(GGML_BLAS_USE_MKL) endif() set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${BLAS_LIBRARIES}) set(LLAMA_EXTRA_INCLUDES ${LLAMA_EXTRA_INCLUDES} ${BLAS_INCLUDE_DIRS}) else() message(WARNING "BLAS not found, please refer to " "https://cmake.org/cmake/help/latest/module/FindBLAS.html#blas-lapack-vendors" " to set correct LLAMA_BLAS_VENDOR") endif() endif() if (LLAMA_QKK_64) add_compile_definitions(GGML_QKK_64) endif() if (LLAMA_CUBLAS) cmake_minimum_required(VERSION 3.17) find_package(CUDAToolkit) if (CUDAToolkit_FOUND) message(STATUS "cuBLAS found") enable_language(CUDA) set(GGML_HEADERS_CUDA ggml-cuda.h) set(GGML_SOURCES_CUDA ggml-cuda.cu) add_compile_definitions(GGML_USE_CUBLAS) # if (LLAMA_CUDA_CUBLAS) # add_compile_definitions(GGML_CUDA_CUBLAS) # endif() if (LLAMA_CUDA_FORCE_DMMV) add_compile_definitions(GGML_CUDA_FORCE_DMMV) endif() if (LLAMA_CUDA_FORCE_MMQ) add_compile_definitions(GGML_CUDA_FORCE_MMQ) endif() add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X}) add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y}) if (DEFINED LLAMA_CUDA_DMMV_Y) add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_DMMV_Y}) # for backwards compatibility endif() if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16) add_compile_definitions(GGML_CUDA_F16) endif() add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER}) add_compile_definitions(GGML_CUDA_PEER_MAX_BATCH_SIZE=${LLAMA_CUDA_PEER_MAX_BATCH_SIZE}) if (LLAMA_STATIC) if (WIN32) # As of 12.3.1 CUDA Tookit for Windows does not offer a static cublas library set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas CUDA::cublasLt) else () set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static) endif() else() set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt) endif() set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cuda_driver) if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES) # 52 == lowest CUDA 12 standard # 60 == f16 CUDA intrinsics # 61 == integer CUDA intrinsics # 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16) set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics else() set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics #set(CMAKE_CUDA_ARCHITECTURES "") # use this to compile much faster, but only F16 models work endif() endif() message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}") else() message(WARNING "cuBLAS not found") endif() endif() if (LLAMA_MPI) cmake_minimum_required(VERSION 3.10) find_package(MPI) if (MPI_C_FOUND) message(STATUS "MPI found") set(GGML_HEADERS_MPI ggml-mpi.h) set(GGML_SOURCES_MPI ggml-mpi.c ggml-mpi.h) add_compile_definitions(GGML_USE_MPI) add_compile_definitions(${MPI_C_COMPILE_DEFINITIONS}) if (NOT MSVC) add_compile_options(-Wno-cast-qual) endif() set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${MPI_C_LIBRARIES}) set(LLAMA_EXTRA_INCLUDES ${LLAMA_EXTRA_INCLUDES} ${MPI_C_INCLUDE_DIRS}) # Even if you're only using the C header, C++ programs may bring in MPI # C++ functions, so more linkage is needed if (MPI_CXX_FOUND) set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${MPI_CXX_LIBRARIES}) endif() else() message(WARNING "MPI not found") endif() endif() if (LLAMA_CLBLAST) find_package(CLBlast) if (CLBlast_FOUND) message(STATUS "CLBlast found") set(GGML_HEADERS_OPENCL ggml-opencl.h) set(GGML_SOURCES_OPENCL ggml-opencl.cpp) add_compile_definitions(GGML_USE_CLBLAST) set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} clblast) else() message(WARNING "CLBlast not found") endif() endif() if (LLAMA_HIPBLAS) list(APPEND CMAKE_PREFIX_PATH /opt/rocm) if (NOT ${CMAKE_C_COMPILER_ID} MATCHES "Clang") message(WARNING "Only LLVM is supported for HIP, hint: CC=/opt/rocm/llvm/bin/clang") endif() if (NOT ${CMAKE_CXX_COMPILER_ID} MATCHES "Clang") message(WARNING "Only LLVM is supported for HIP, hint: CXX=/opt/rocm/llvm/bin/clang++") endif() find_package(hip) find_package(hipblas) find_package(rocblas) if (${hipblas_FOUND} AND ${hip_FOUND}) message(STATUS "HIP and hipBLAS found") add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUBLAS) if (LLAMA_HIP_UMA) add_compile_definitions(GGML_HIP_UMA) endif() add_library(ggml-rocm OBJECT ggml-cuda.cu ggml-cuda.h) if (BUILD_SHARED_LIBS) set_target_properties(ggml-rocm PROPERTIES POSITION_INDEPENDENT_CODE ON) endif() if (LLAMA_CUDA_FORCE_DMMV) target_compile_definitions(ggml-rocm PRIVATE GGML_CUDA_FORCE_DMMV) endif() if (LLAMA_CUDA_FORCE_MMQ) target_compile_definitions(ggml-rocm PRIVATE GGML_CUDA_FORCE_MMQ) endif() target_compile_definitions(ggml-rocm PRIVATE GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X}) target_compile_definitions(ggml-rocm PRIVATE GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y}) target_compile_definitions(ggml-rocm PRIVATE K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER}) set_source_files_properties(ggml-cuda.cu PROPERTIES LANGUAGE CXX) target_link_libraries(ggml-rocm PRIVATE hip::device PUBLIC hip::host roc::rocblas roc::hipblas) if (LLAMA_STATIC) message(FATAL_ERROR "Static linking not supported for HIP/ROCm") endif() set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ggml-rocm) else() message(WARNING "hipBLAS or HIP not found. Try setting CMAKE_PREFIX_PATH=/opt/rocm") endif() endif() function(get_flags CCID CCVER) set(C_FLAGS "") set(CXX_FLAGS "") if (CCID MATCHES "Clang") set(C_FLAGS -Wunreachable-code-break -Wunreachable-code-return) set(CXX_FLAGS -Wunreachable-code-break -Wunreachable-code-return -Wmissing-prototypes -Wextra-semi) if ( (CCID STREQUAL "Clang" AND CCVER VERSION_GREATER_EQUAL 3.8.0) OR (CCID STREQUAL "AppleClang" AND CCVER VERSION_GREATER_EQUAL 7.3.0) ) set(C_FLAGS ${C_FLAGS} -Wdouble-promotion) endif() elseif (CCID STREQUAL "GNU") set(C_FLAGS -Wdouble-promotion) set(CXX_FLAGS -Wno-array-bounds) if (CCVER VERSION_GREATER_EQUAL 7.1.0) set(CXX_FLAGS ${CXX_FLAGS} -Wno-format-truncation) endif() if (CCVER VERSION_GREATER_EQUAL 8.1.0) set(CXX_FLAGS ${CXX_FLAGS} -Wextra-semi) endif() endif() set(GF_C_FLAGS ${C_FLAGS} PARENT_SCOPE) set(GF_CXX_FLAGS ${CXX_FLAGS} PARENT_SCOPE) endfunction() if (LLAMA_ALL_WARNINGS) if (NOT MSVC) set(WARNING_FLAGS -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function) set(C_FLAGS -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes -Werror=implicit-int -Werror=implicit-function-declaration) set(CXX_FLAGS -Wmissing-declarations -Wmissing-noreturn) set(C_FLAGS ${WARNING_FLAGS} ${C_FLAGS}) set(CXX_FLAGS ${WARNING_FLAGS} ${CXX_FLAGS}) get_flags(${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION}) add_compile_options("$<$:${C_FLAGS};${GF_C_FLAGS}>" "$<$:${CXX_FLAGS};${GF_CXX_FLAGS}>") else() # todo : msvc set(C_FLAGS "") set(CXX_FLAGS "") endif() endif() if (LLAMA_CUBLAS) set(CUDA_FLAGS ${CXX_FLAGS} -use_fast_math) if (NOT MSVC) set(CUDA_FLAGS ${CUDA_FLAGS} -Wno-pedantic) endif() if (LLAMA_ALL_WARNINGS AND NOT MSVC) set(NVCC_CMD ${CMAKE_CUDA_COMPILER} .c) if (NOT CMAKE_CUDA_HOST_COMPILER STREQUAL "") set(NVCC_CMD ${NVCC_CMD} -ccbin ${CMAKE_CUDA_HOST_COMPILER}) endif() execute_process( COMMAND ${NVCC_CMD} -Xcompiler --version OUTPUT_VARIABLE CUDA_CCFULLVER ERROR_QUIET ) if (NOT CUDA_CCFULLVER MATCHES clang) set(CUDA_CCID "GNU") execute_process( COMMAND ${NVCC_CMD} -Xcompiler "-dumpfullversion -dumpversion" OUTPUT_VARIABLE CUDA_CCVER ERROR_QUIET ) else() if (CUDA_CCFULLVER MATCHES Apple) set(CUDA_CCID "AppleClang") else() set(CUDA_CCID "Clang") endif() string(REGEX REPLACE "^.* version ([0-9.]*).*$" "\\1" CUDA_CCVER ${CUDA_CCFULLVER}) endif() message("-- CUDA host compiler is ${CUDA_CCID} ${CUDA_CCVER}") get_flags(${CUDA_CCID} ${CUDA_CCVER}) list(JOIN GF_CXX_FLAGS " " CUDA_CXX_FLAGS) # pass host compiler flags as a single argument if (NOT CUDA_CXX_FLAGS STREQUAL "") set(CUDA_FLAGS ${CUDA_FLAGS} -Xcompiler ${CUDA_CXX_FLAGS}) endif() endif() add_compile_options("$<$:${CUDA_FLAGS}>") endif() if (WIN32) add_compile_definitions(_CRT_SECURE_NO_WARNINGS) if (BUILD_SHARED_LIBS) set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ON) endif() endif() if (LLAMA_LTO) include(CheckIPOSupported) check_ipo_supported(RESULT result OUTPUT output) if (result) set(CMAKE_INTERPROCEDURAL_OPTIMIZATION TRUE) else() message(WARNING "IPO is not supported: ${output}") endif() endif() # this version of Apple ld64 is buggy execute_process( COMMAND ${CMAKE_C_COMPILER} ${CMAKE_EXE_LINKER_FLAGS} -Wl,-v ERROR_VARIABLE output OUTPUT_QUIET ) if (output MATCHES "dyld-1015\.7") add_compile_definitions(HAVE_BUGGY_APPLE_LINKER) endif() # Architecture specific # TODO: probably these flags need to be tweaked on some architectures # feel free to update the Makefile for your architecture and send a pull request or issue message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}") if (MSVC) string(TOLOWER "${CMAKE_GENERATOR_PLATFORM}" CMAKE_GENERATOR_PLATFORM_LWR) message(STATUS "CMAKE_GENERATOR_PLATFORM: ${CMAKE_GENERATOR_PLATFORM}") else () set(CMAKE_GENERATOR_PLATFORM_LWR "") endif () if (NOT MSVC) if (LLAMA_STATIC) add_link_options(-static) if (MINGW) add_link_options(-static-libgcc -static-libstdc++) endif() endif() if (LLAMA_GPROF) add_compile_options(-pg) endif() endif() if ((${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm") OR (${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64") OR ("${CMAKE_GENERATOR_PLATFORM_LWR}" MATCHES "arm64")) message(STATUS "ARM detected") if (MSVC) add_compile_definitions(__ARM_NEON) add_compile_definitions(__ARM_FEATURE_FMA) add_compile_definitions(__ARM_FEATURE_DOTPROD) # add_compile_definitions(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) # MSVC doesn't support vdupq_n_f16, vld1q_f16, vst1q_f16 add_compile_definitions(__aarch64__) # MSVC defines _M_ARM64 instead else() check_cxx_compiler_flag(-mfp16-format=ieee COMPILER_SUPPORTS_FP16_FORMAT_I3E) if (NOT "${COMPILER_SUPPORTS_FP16_FORMAT_I3E}" STREQUAL "") add_compile_options(-mfp16-format=ieee) endif() if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv6") # Raspberry Pi 1, Zero add_compile_options(-mfpu=neon-fp-armv8 -mno-unaligned-access) endif() if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv7") # Raspberry Pi 2 add_compile_options(-mfpu=neon-fp-armv8 -mno-unaligned-access -funsafe-math-optimizations) endif() if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv8") # Raspberry Pi 3, 4, Zero 2 (32-bit) add_compile_options(-mno-unaligned-access) endif() endif() elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "^(x86_64|i686|AMD64)$" OR "${CMAKE_GENERATOR_PLATFORM_LWR}" MATCHES "^(x86_64|i686|amd64|x64)$" ) message(STATUS "x86 detected") if (MSVC) # instruction set detection for MSVC only if (LLAMA_NATIVE) include(cmake/FindSIMD.cmake) endif () if (LLAMA_AVX512) add_compile_options($<$:/arch:AVX512>) add_compile_options($<$:/arch:AVX512>) # MSVC has no compile-time flags enabling specific # AVX512 extensions, neither it defines the # macros corresponding to the extensions. # Do it manually. if (LLAMA_AVX512_VBMI) add_compile_definitions($<$:__AVX512VBMI__>) add_compile_definitions($<$:__AVX512VBMI__>) endif() if (LLAMA_AVX512_VNNI) add_compile_definitions($<$:__AVX512VNNI__>) add_compile_definitions($<$:__AVX512VNNI__>) endif() elseif (LLAMA_AVX2) add_compile_options($<$:/arch:AVX2>) add_compile_options($<$:/arch:AVX2>) elseif (LLAMA_AVX) add_compile_options($<$:/arch:AVX>) add_compile_options($<$:/arch:AVX>) endif() else() if (LLAMA_NATIVE) add_compile_options(-march=native) endif() if (LLAMA_F16C) add_compile_options(-mf16c) endif() if (LLAMA_FMA) add_compile_options(-mfma) endif() if (LLAMA_AVX) add_compile_options(-mavx) endif() if (LLAMA_AVX2) add_compile_options(-mavx2) endif() if (LLAMA_AVX512) add_compile_options(-mavx512f) add_compile_options(-mavx512bw) endif() if (LLAMA_AVX512_VBMI) add_compile_options(-mavx512vbmi) endif() if (LLAMA_AVX512_VNNI) add_compile_options(-mavx512vnni) endif() endif() elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64") message(STATUS "PowerPC detected") if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64le") add_compile_options(-mcpu=powerpc64le) else() add_compile_options(-mcpu=native -mtune=native) #TODO: Add targets for Power8/Power9 (Altivec/VSX) and Power10(MMA) and query for big endian systems (ppc64/le/be) endif() else() message(STATUS "Unknown architecture") endif() if (MINGW) # Target Windows 8 for PrefetchVirtualMemory add_compile_definitions(_WIN32_WINNT=${LLAMA_WIN_VER}) endif() # # POSIX conformance # # clock_gettime came in POSIX.1b (1993) # CLOCK_MONOTONIC came in POSIX.1-2001 / SUSv3 as optional # posix_memalign came in POSIX.1-2001 / SUSv3 # M_PI is an XSI extension since POSIX.1-2001 / SUSv3, came in XPG1 (1985) add_compile_definitions(_XOPEN_SOURCE=600) # Somehow in OpenBSD whenever POSIX conformance is specified # some string functions rely on locale_t availability, # which was introduced in POSIX.1-2008, forcing us to go higher if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD") remove_definitions(-D_XOPEN_SOURCE=600) add_compile_definitions(_XOPEN_SOURCE=700) endif() # Data types, macros and functions related to controlling CPU affinity and # some memory allocation are available on Linux through GNU extensions in libc if (CMAKE_SYSTEM_NAME MATCHES "Linux") add_compile_definitions(_GNU_SOURCE) endif() # RLIMIT_MEMLOCK came in BSD, is not specified in POSIX.1, # and on macOS its availability depends on enabling Darwin extensions # similarly on DragonFly, enabling BSD extensions is necessary if ( CMAKE_SYSTEM_NAME MATCHES "Darwin" OR CMAKE_SYSTEM_NAME MATCHES "iOS" OR CMAKE_SYSTEM_NAME MATCHES "tvOS" OR CMAKE_SYSTEM_NAME MATCHES "DragonFly" ) add_compile_definitions(_DARWIN_C_SOURCE) endif() # alloca is a non-standard interface that is not visible on BSDs when # POSIX conformance is specified, but not all of them provide a clean way # to enable it in such cases if (CMAKE_SYSTEM_NAME MATCHES "FreeBSD") add_compile_definitions(__BSD_VISIBLE) endif() if (CMAKE_SYSTEM_NAME MATCHES "NetBSD") add_compile_definitions(_NETBSD_SOURCE) endif() if (CMAKE_SYSTEM_NAME MATCHES "OpenBSD") add_compile_definitions(_BSD_SOURCE) endif() # # libraries # # ggml if (GGML_USE_CPU_HBM) add_definitions(-DGGML_USE_CPU_HBM) find_library(memkind memkind REQUIRED) endif() add_library(ggml OBJECT ggml.c ggml.h ggml-alloc.c ggml-alloc.h ggml-backend.c ggml-backend.h ggml-quants.c ggml-quants.h ${GGML_SOURCES_CUDA} ${GGML_HEADERS_CUDA} ${GGML_SOURCES_OPENCL} ${GGML_HEADERS_OPENCL} ${GGML_SOURCES_METAL} ${GGML_HEADERS_METAL} ${GGML_SOURCES_MPI} ${GGML_HEADERS_MPI} ${GGML_SOURCES_EXTRA} ${GGML_HEADERS_EXTRA} ) target_include_directories(ggml PUBLIC . ${LLAMA_EXTRA_INCLUDES}) target_compile_features(ggml PUBLIC c_std_11) # don't bump target_link_libraries(ggml PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS}) if (GGML_USE_CPU_HBM) target_link_libraries(ggml PUBLIC memkind) endif() add_library(ggml_static STATIC $) if (BUILD_SHARED_LIBS) set_target_properties(ggml PROPERTIES POSITION_INDEPENDENT_CODE ON) add_library(ggml_shared SHARED $) target_link_libraries(ggml_shared PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS}) install(TARGETS ggml_shared LIBRARY) endif() # llama add_library(llama llama.cpp llama.h ) target_include_directories(llama PUBLIC .) target_compile_features(llama PUBLIC cxx_std_11) # don't bump target_link_libraries(llama PRIVATE ggml ${LLAMA_EXTRA_LIBS} ) if (BUILD_SHARED_LIBS) set_target_properties(llama PROPERTIES POSITION_INDEPENDENT_CODE ON) target_compile_definitions(llama PRIVATE LLAMA_SHARED LLAMA_BUILD) if (LLAMA_METAL) set_target_properties(llama PROPERTIES RESOURCE "${CMAKE_CURRENT_SOURCE_DIR}/ggml-metal.metal") endif() endif() # # install # include(GNUInstallDirs) include(CMakePackageConfigHelpers) set(LLAMA_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header files") set(LLAMA_LIB_INSTALL_DIR ${CMAKE_INSTALL_LIBDIR} CACHE PATH "Location of library files") set(LLAMA_BIN_INSTALL_DIR ${CMAKE_INSTALL_BINDIR} CACHE PATH "Location of binary files") set(LLAMA_BUILD_NUMBER ${BUILD_NUMBER}) set(LLAMA_BUILD_COMMIT ${BUILD_COMMIT}) set(LLAMA_INSTALL_VERSION 0.0.${BUILD_NUMBER}) get_directory_property(LLAMA_TRANSIENT_DEFINES COMPILE_DEFINITIONS) configure_package_config_file( ${CMAKE_CURRENT_SOURCE_DIR}/scripts/LlamaConfig.cmake.in ${CMAKE_CURRENT_BINARY_DIR}/LlamaConfig.cmake INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/Llama PATH_VARS LLAMA_INCLUDE_INSTALL_DIR LLAMA_LIB_INSTALL_DIR LLAMA_BIN_INSTALL_DIR ) write_basic_package_version_file( ${CMAKE_CURRENT_BINARY_DIR}/LlamaConfigVersion.cmake VERSION ${LLAMA_INSTALL_VERSION} COMPATIBILITY SameMajorVersion) install(FILES ${CMAKE_CURRENT_BINARY_DIR}/LlamaConfig.cmake ${CMAKE_CURRENT_BINARY_DIR}/LlamaConfigVersion.cmake DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/Llama) set(GGML_PUBLIC_HEADERS "ggml.h" "${GGML_HEADERS_CUDA}" "${GGML_HEADERS_OPENCL}" "${GGML_HEADERS_METAL}" "${GGML_HEADERS_MPI}" "${GGML_HEADERS_EXTRA}") set_target_properties(ggml PROPERTIES PUBLIC_HEADER "${GGML_PUBLIC_HEADERS}") install(TARGETS ggml PUBLIC_HEADER) set_target_properties(llama PROPERTIES PUBLIC_HEADER ${CMAKE_CURRENT_SOURCE_DIR}/llama.h) install(TARGETS llama LIBRARY PUBLIC_HEADER) install( FILES convert.py PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ GROUP_EXECUTE WORLD_READ WORLD_EXECUTE DESTINATION ${CMAKE_INSTALL_BINDIR}) install( FILES convert-lora-to-ggml.py PERMISSIONS OWNER_READ OWNER_WRITE OWNER_EXECUTE GROUP_READ GROUP_EXECUTE WORLD_READ WORLD_EXECUTE DESTINATION ${CMAKE_INSTALL_BINDIR}) if (LLAMA_METAL) install( FILES ggml-metal.metal PERMISSIONS OWNER_READ OWNER_WRITE GROUP_READ WORLD_READ DESTINATION ${CMAKE_INSTALL_BINDIR}) endif() # # programs, examples and tests # add_subdirectory(common) if (LLAMA_BUILD_TESTS AND NOT CMAKE_JS_VERSION) include(CTest) add_subdirectory(tests) endif () if (LLAMA_BUILD_EXAMPLES) add_subdirectory(examples) add_subdirectory(pocs) endif()