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CMakeLists.txt
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CMakeLists.txt
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# DO NOT USE THIS FILE.
# IT'S ONLY FOR CUBLAS BUILD PURPOSES ON WINDOWS VISUAL STUDIO.
# IT WILL NOT BE UPDATED OR MAINTAINED !!!
message(STATUS "============== ============== ==============")
message(STATUS "WARNING! Recommend NOT to use this file. It is UNSUPPORTED for normal users. Use MAKE instead.")
message(STATUS "It is ONLY for CUBLAS builds on windows visual studio. IT WILL OVERWRITE YOUR EXISTING MAKEFILE !!!")
message(STATUS "IF YOU ARE SEEING THIS, you MUST ONLY be building CUBLAS BUILDS! NOTHING ELSE WILL BE SUPPORTED !!!")
message(STATUS "============== ============== ==============")
cmake_minimum_required(VERSION 3.12) # Don't bump this version for no reason
project("llama.cpp" C CXX)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS 1)
set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Release")
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
set(LLAMA_STANDALONE ON)
set(BUILD_SHARED_LIBS_DEFAULT ON)
set(LLAMA_STATIC OFF)
set(LLAMA_NATIVE OFF)
set(LLAMA_LTO OFF)
set(LLAMA_ALL_WARNINGS OFF)
set(LLAMA_ALL_WARNINGS_3RD_PARTY OFF)
set(LLAMA_GPROF OFF)
set(LLAMA_SANITIZE_THREAD OFF)
set(LLAMA_SANITIZE_ADDRESS OFF)
set(LLAMA_SANITIZE_UNDEFINED OFF)
option(MAKE_MISC_FILES "MAKE_MISC_FILES" OFF)
# instruction set specific
option(LLAMA_AVX "llama: enable AVX" ON)
option(LLAMA_AVX2 "llama: enable AVX2" ON)
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" ON)
# in MSVC F16C is implied with AVX2/AVX512
if (NOT MSVC)
option(LLAMA_F16C "llama: enable F16C" ON)
endif()
# 3rd party libs
option(LLAMA_CUBLAS "llama: use CUDA" ON)
set(LLAMA_CUDA_MMQ_Y "64" CACHE STRING "llama: y tile size for mmq CUDA kernels")
set(LLAMA_CUDA_DMMV_X "32" CACHE STRING "llama: x stride for dmmv CUDA kernels")
set(LLAMA_CUDA_DMMV_Y "1" CACHE STRING "llama: y block size 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 dmmv CUDA kernels" OFF)
set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K")
option(LLAMA_K_QUANTS "llama: use k-quants" ON)
#
# 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)
add_compile_definitions(GGML_USE_K_QUANTS)
if (LLAMA_CUBLAS)
cmake_minimum_required(VERSION 3.17)
find_package(CUDAToolkit)
if (CUDAToolkit_FOUND)
message(STATUS "cuBLAS found")
enable_language(CUDA)
set(GGML_SOURCES_CUDA ggml-cuda.cu ggml-cuda.h)
set(GGML_V2_CUDA_SOURCES otherarch/ggml_v2-cuda.cu otherarch/ggml_v2-cuda.h)
set(GGML_V2_LEGACY_CUDA_SOURCES otherarch/ggml_v2-cuda-legacy.cu otherarch/ggml_v2-cuda-legacy.h)
add_compile_definitions(GGML_USE_CUBLAS)
#add_compile_definitions(GGML_CUDA_CUBLAS) #remove to not use cublas
add_compile_definitions(GGML_CUDA_MMQ_Y=${LLAMA_CUDA_MMQ_Y})
#add_compile_definitions(GGML_CUDA_FORCE_DMMV) #non dmmv broken for me
add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
add_compile_definitions(GGML_CUDA_DMMV_Y=${LLAMA_CUDA_DMMV_Y})
add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16)
add_compile_definitions(GGML_CUDA_F16)
endif()
add_compile_definitions(K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
if (LLAMA_STATIC)
set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
else()
set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
endif()
if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
# 52 == lowest CUDA 12 standard
# 60 == f16 CUDA intrinsics
# 61 == integer CUDA intrinsics
# 70 == (assumed) 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()
message("CUDA Toolkit Version: ${CUDAToolkit_VERSION}")
if(CUDAToolkit_VERSION VERSION_GREATER 12)
set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
else()
set(CMAKE_CUDA_ARCHITECTURES "37;52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
endif()
endif()
endif()
message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
else()
message(WARNING "cuBLAS not found")
endif()
endif()
if (LLAMA_ALL_WARNINGS)
if (NOT MSVC)
set(c_flags
-Wall
-Wextra
-Wpedantic
-Wcast-qual
-Wdouble-promotion
-Wshadow
-Wstrict-prototypes
-Wpointer-arith
-Wmissing-prototypes
)
set(cxx_flags
-Wall
-Wextra
-Wpedantic
-Wcast-qual
-Wno-unused-function
-Wno-multichar
)
else()
# todo : msvc
endif()
add_compile_options(
"$<$<COMPILE_LANGUAGE:C>:${c_flags}>"
"$<$<COMPILE_LANGUAGE:CXX>:${cxx_flags}>"
)
endif()
if (MSVC)
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()
# 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: ${CMAKE_SYSTEM_PROCESSOR}")
if (NOT MSVC)
if (LLAMA_STATIC)
add_link_options(-static)
if (MINGW)
add_link_options(-static-libgcc -static-libstdc++)
endif()
endif()
if (LLAMA_GPROF)
add_compile_options(-pg)
endif()
if (LLAMA_NATIVE)
add_compile_options(-march=native)
endif()
endif()
if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64")
message(STATUS "ARM detected")
if (MSVC)
# TODO: arm msvc?
else()
if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv6")
# Raspberry Pi 1, Zero
add_compile_options(-mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access)
endif()
if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv7")
# Raspberry Pi 2
add_compile_options(-mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations)
endif()
if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "armv8")
# Raspberry Pi 3, 4, Zero 2 (32-bit)
add_compile_options(-mfp16-format=ieee -mno-unaligned-access)
endif()
endif()
elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "^(x86_64|i686|AMD64)$")
message(STATUS "x86 detected")
if (MSVC)
if (LLAMA_AVX512)
add_compile_options($<$<COMPILE_LANGUAGE:C>:/arch:AVX512>)
add_compile_options($<$<COMPILE_LANGUAGE:CXX>:/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($<$<COMPILE_LANGUAGE:C>:__AVX512VBMI__>)
add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VBMI__>)
endif()
if (LLAMA_AVX512_VNNI)
add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VNNI__>)
add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VNNI__>)
endif()
elseif (LLAMA_AVX2)
add_compile_options($<$<COMPILE_LANGUAGE:C>:/arch:AVX2>)
add_compile_options($<$<COMPILE_LANGUAGE:CXX>:/arch:AVX2>)
elseif (LLAMA_AVX)
add_compile_options($<$<COMPILE_LANGUAGE:C>:/arch:AVX>)
add_compile_options($<$<COMPILE_LANGUAGE:CXX>:/arch:AVX>)
endif()
else()
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")
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)
else()
message(STATUS "Unknown architecture")
endif()
#
# Build libraries
#
add_library(ggml OBJECT
ggml.c
ggml.h
ggml-alloc.c
ggml-alloc.h
k_quants.h
k_quants.c
${GGML_SOURCES_CUDA})
target_include_directories(ggml PUBLIC . ./otherarch ./otherarch/tools)
target_compile_features(ggml PUBLIC c_std_11) # don't bump
target_link_libraries(ggml PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS})
set_target_properties(ggml PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(ggml_v1 OBJECT
otherarch/ggml_v1.c
otherarch/ggml_v1.h)
target_include_directories(ggml_v1 PUBLIC . ./otherarch ./otherarch/tools)
target_compile_features(ggml_v1 PUBLIC c_std_11) # don't bump
target_link_libraries(ggml_v1 PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS})
set_target_properties(ggml_v1 PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(ggml_v2 OBJECT
otherarch/ggml_v2.c
otherarch/ggml_v2.h
${GGML_V2_CUDA_SOURCES}
${GGML_V2_LEGACY_CUDA_SOURCES})
target_include_directories(ggml_v2 PUBLIC . ./otherarch ./otherarch/tools)
target_compile_features(ggml_v2 PUBLIC c_std_11) # don't bump
target_link_libraries(ggml_v2 PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS})
set_target_properties(ggml_v2 PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(common2
examples/common.cpp
examples/common.h)
target_include_directories(common2 PUBLIC . ./otherarch ./otherarch/tools ./examples)
target_compile_features(common2 PUBLIC cxx_std_11) # don't bump
target_link_libraries(common2 PRIVATE ggml ${LLAMA_EXTRA_LIBS})
set_target_properties(common2 PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(gpttype_adapter
gpttype_adapter.cpp)
target_include_directories(gpttype_adapter PUBLIC . ./otherarch ./otherarch/tools ./examples)
target_compile_features(gpttype_adapter PUBLIC cxx_std_11) # don't bump
target_link_libraries(gpttype_adapter PRIVATE common2 ggml ${LLAMA_EXTRA_LIBS})
set_target_properties(gpttype_adapter PROPERTIES POSITION_INDEPENDENT_CODE ON)
set(TARGET koboldcpp_cublas)
add_library(${TARGET} SHARED expose.cpp expose.h)
target_include_directories(${TARGET} PUBLIC . ./otherarch ./otherarch/tools ./examples)
target_compile_features(${TARGET} PUBLIC cxx_std_11) # don't bump
set_target_properties(${TARGET} PROPERTIES PREFIX "")
set_target_properties(${TARGET} PROPERTIES OUTPUT_NAME "koboldcpp_cublas")
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
target_link_libraries(${TARGET} PUBLIC ggml ggml_v1 ggml_v2 common2 gpttype_adapter ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_11)
if (MAKE_MISC_FILES)
add_library(llama
llama.cpp
llama.h
llama-util.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}
)
add_subdirectory(examples)
endif()