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CMakeLists.txt
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CMakeLists.txt
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# THIS FILE IS ONLY INTENDED CUBLAS BUILD PURPOSES ON WINDOWS VISUAL STUDIO.
# YOU'RE NOT RECOMMENDED TO USE IT
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)
# 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_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")
set(LLAMA_CUDA_PEER_MAX_BATCH_SIZE "128" CACHE STRING
"llama: max. batch size for using peer access")
set(GGML_CUDA_USE_GRAPHS OFF)
option(LLAMA_HIPBLAS "llama: use hipBLAS" OFF)
# Other
option(LLAMA_OPENMP "llama: use OpenMP" OFF)
#
# 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(LOG_DISABLE_LOGS)
file(GLOB GGML_SOURCES_CUDA "ggml/src/ggml-cuda/*.cu")
list(APPEND GGML_SOURCES_CUDA "ggml/src/ggml-cuda.cu")
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-wmma*.cu")
list(APPEND GGML_SOURCES_CUDA ${SRCS})
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/mmq*.cu")
list(APPEND GGML_SOURCES_CUDA ${SRCS})
set(GGML_V3_CUDA_SOURCES otherarch/ggml_v3-cuda.cu otherarch/ggml_v3-cuda.h)
set(GGML_V2_CUDA_SOURCES otherarch/ggml_v2-cuda.cu otherarch/ggml_v2-cuda.h)
set(GGML_V2_LEGACY_CUDA_SOURCES otherarch/ggml_v2-cuda-legacy.cu otherarch/ggml_v2-cuda-legacy.h)
if (GGML_CUDA_USE_GRAPHS)
add_compile_definitions(GGML_CUDA_USE_GRAPHS)
endif()
if (LLAMA_CUBLAS)
cmake_minimum_required(VERSION 3.17)
find_package(CUDAToolkit)
if (CUDAToolkit_FOUND)
message(STATUS "cuBLAS found")
enable_language(CUDA)
add_compile_definitions(GGML_USE_LLAMAFILE)
add_compile_definitions(GGML_USE_CUDA)
add_compile_definitions(SD_USE_CUBLAS)
add_compile_definitions(GGML_CUDA_DMMV_X=${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=${LLAMA_CUDA_KQUANTS_ITER})
add_compile_definitions(GGML_CUDA_PEER_MAX_BATCH_SIZE=${LLAMA_CUDA_PEER_MAX_BATCH_SIZE})
# only build minimal quants required for fattn quant kv
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu")
list(APPEND GGML_SOURCES_CUDA ${SRCS})
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu")
list(APPEND GGML_SOURCES_CUDA ${SRCS})
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-vec*f16-f16.cu")
list(APPEND GGML_SOURCES_CUDA ${SRCS})
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 == (assumed) compute capability at which unrolling a loop in mul_mat_q kernels is faster
# 75 == int8 tensor cores
if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16)
set(CMAKE_CUDA_ARCHITECTURES "60;61;70;75") # 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;75") # lowest CUDA 12 standard + lowest for integer intrinsics
else()
set(CMAKE_CUDA_ARCHITECTURES "37;52;61;70;75") # 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_HIPBLAS)
if (MSVC)
list(APPEND CMAKE_PREFIX_PATH "C:/Program Files/AMD/ROCm/5.5")
else()
list(APPEND CMAKE_PREFIX_PATH /opt/rocm)
endif()
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")
file(GLOB GGML_SOURCES_ROCM "ggml/src/ggml-cuda/*.cu")
list(APPEND GGML_SOURCES_ROCM "ggml/src/ggml-cuda.cu")
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-wmma*.cu")
list(APPEND GGML_SOURCES_ROCM ${SRCS})
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/mmq*.cu")
list(APPEND GGML_SOURCES_ROCM ${SRCS})
add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUDA SD_USE_CUBLAS)
add_library(ggml-rocm ${GGML_SOURCES_CUDA})
if (LLAMA_CUDA_FORCE_DMMV)
target_compile_definitions(ggml-rocm PUBLIC GGML_CUDA_FORCE_DMMV)
endif()
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-vec*q4_0-q4_0.cu")
list(APPEND GGML_SOURCES_ROCM ${SRCS})
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-vec*q8_0-q8_0.cu")
list(APPEND GGML_SOURCES_ROCM ${SRCS})
file(GLOB SRCS "ggml/src/ggml-cuda/template-instances/fattn-vec*f16-f16.cu")
list(APPEND GGML_SOURCES_ROCM ${SRCS})
# only build minimal quants required for fattn quant kv
target_compile_definitions(ggml-rocm PUBLIC GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
target_compile_definitions(ggml-rocm PUBLIC GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
target_compile_definitions(ggml-rocm PUBLIC K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
set_source_files_properties(${GGML_SOURCES_ROCM} PROPERTIES LANGUAGE CXX)
target_link_libraries(ggml-rocm PUBLIC hip::device hip::host roc::rocblas roc::hipblas)
add_library(ggml-v2-rocm ${GGML_V2_CUDA_SOURCES})
if (LLAMA_CUDA_FORCE_DMMV)
target_compile_definitions(ggml-v2-rocm PUBLIC GGML_CUDA_FORCE_DMMV)
endif()
target_compile_definitions(ggml-v2-rocm PUBLIC GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
target_compile_definitions(ggml-v2-rocm PUBLIC GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
target_compile_definitions(ggml-v2-rocm PUBLIC K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
set_source_files_properties(otherarch/ggml_v2-cuda.cu PROPERTIES LANGUAGE CXX)
target_link_libraries(ggml-v2-rocm PUBLIC hip::device hip::host roc::rocblas roc::hipblas)
add_library(ggml-v3-rocm ${GGML_V3_CUDA_SOURCES})
if (LLAMA_CUDA_FORCE_DMMV)
target_compile_definitions(ggml-v3-rocm PUBLIC GGML_CUDA_FORCE_DMMV)
endif()
target_compile_definitions(ggml-v3-rocm PUBLIC GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
target_compile_definitions(ggml-v3-rocm PUBLIC GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
target_compile_definitions(ggml-v3-rocm PUBLIC K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
set_source_files_properties(otherarch/ggml_v3-cuda.cu PROPERTIES LANGUAGE CXX)
target_link_libraries(ggml-v3-rocm PUBLIC hip::device hip::host roc::rocblas roc::hipblas)
add_library(ggml-v2-legacy-rocm ${GGML_V2_LEGACY_CUDA_SOURCES})
if (LLAMA_CUDA_FORCE_DMMV)
target_compile_definitions(ggml-v2-legacy-rocm PUBLIC GGML_CUDA_FORCE_DMMV)
endif()
target_compile_definitions(ggml-v2-legacy-rocm PUBLIC GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X})
target_compile_definitions(ggml-v2-legacy-rocm PUBLIC GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y})
target_compile_definitions(ggml-v2-legacy-rocm PUBLIC K_QUANTS_PER_ITERATION=${LLAMA_CUDA_KQUANTS_ITER})
set_source_files_properties(otherarch/ggml_v2-cuda-legacy.cu PROPERTIES LANGUAGE CXX)
target_link_libraries(ggml-v2-legacy-rocm PUBLIC hip::device 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 ggml-v2-rocm ggml-v2-legacy-rocm)
else()
message(WARNING "hipBLAS or HIP not found. Try setting CMAKE_PREFIX_PATH=/opt/rocm")
endif()
endif()
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)
if (CMAKE_C_COMPILER_ID MATCHES "Clang")
set(warning_flags ${warning_flags} -Wunreachable-code-break -Wunreachable-code-return)
set(cxx_flags ${cxx_flags} -Wmissing-prototypes -Wextra-semi)
if (
(CMAKE_C_COMPILER_ID STREQUAL "Clang" AND CMAKE_C_COMPILER_VERSION VERSION_GREATER_EQUAL 3.8.0) OR
(CMAKE_C_COMPILER_ID STREQUAL "AppleClang" AND CMAKE_C_COMPILER_VERSION VERSION_GREATER_EQUAL 7.3.0)
)
set(c_flags ${c_flags} -Wdouble-promotion)
endif()
elseif (CMAKE_C_COMPILER_ID STREQUAL "GNU")
set(c_flags ${c_flags} -Wdouble-promotion)
set(cxx_flags ${cxx_flags} -Wno-array-bounds)
if (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 7.1.0)
set(cxx_flags ${cxx_flags} -Wno-format-truncation)
endif()
if (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 8.1.0)
set(cxx_flags ${cxx_flags} -Wextra-semi)
endif()
endif()
else()
# todo : msvc
endif()
add_compile_options(
${warning_flags}
"$<$<COMPILE_LANGUAGE:C>:${c_flags}>"
"$<$<COMPILE_LANGUAGE:CXX>:${cxx_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()
if (LLAMA_OPENMP)
find_package(OpenMP)
if (OpenMP_FOUND)
message(STATUS "OpenMP found")
add_compile_definitions(GGML_USE_OPENMP)
set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} OpenMP::OpenMP_C OpenMP::OpenMP_CXX)
else()
message(WARNING "OpenMP not found")
endif()
endif()
# this version of Apple ld64 is buggy
execute_process(
COMMAND ${CMAKE_C_COMPILER} ${CMAKE_EXE_LINKER_FLAGS} -Wl,-v
ERROR_VARIABLE output
)
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: ${CMAKE_SYSTEM_PROCESSOR}")
if (NOT MSVC)
if (LLAMA_STATIC)
add_link_options(-static)
if (MINGW)
add_link_options(-static-libgcc -static-libstdc++)
endif()
endif()
if (LLAMA_GPROF)
add_compile_options(-pg)
endif()
if (LLAMA_NATIVE)
add_compile_options(-march=native)
endif()
endif()
if ((${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 (${CMAKE_SYSTEM_PROCESSOR} MATCHES "ppc64")
message(STATUS "PowerPC detected")
if (${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=0x602)
endif()
#
# Build libraries
#
add_library(ggml
ggml/src/ggml.c
ggml/include/ggml.h
ggml/src/ggml-alloc.c
ggml/include/ggml-alloc.h
ggml/src/ggml-backend.c
ggml/include/ggml-backend.h
ggml/src/ggml-quants.c
ggml/src/ggml-quants.h
ggml/src/llamafile/sgemm.cpp
ggml/src/llamafile/sgemm.h
ggml/src/ggml-aarch64.c
ggml/src/ggml-aarch64.h
${GGML_SOURCES_CUDA})
target_include_directories(ggml PUBLIC . ./ggml/include ./ggml/src ./include ./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
otherarch/ggml_v1.c
otherarch/ggml_v1.h)
target_include_directories(ggml_v1 PUBLIC . ./ggml/include ./ggml/src ./include ./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
otherarch/ggml_v2.c
otherarch/ggml_v2.h
${GGML_V2_CUDA_SOURCES}
${GGML_V2_LEGACY_CUDA_SOURCES})
target_include_directories(ggml_v2 PUBLIC . ./ggml/include ./ggml/src ./include ./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(ggml_v3
otherarch/ggml_v3.c
otherarch/ggml_v3.h
${GGML_V3_CUDA_SOURCES})
target_include_directories(ggml_v3 PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools)
target_compile_features(ggml_v3 PUBLIC c_std_11) # don't bump
target_link_libraries(ggml_v3 PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS})
set_target_properties(ggml_v3 PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(common2
common/common.cpp
common/common.h
common/sampling.cpp
common/sampling.h
common/grammar-parser.h
common/grammar-parser.cpp
examples/llava/llava.cpp
examples/llava/llava.h
examples/llava/clip.cpp
examples/llava/clip.h
src/unicode.h
src/unicode.cpp
src/unicode-data.cpp)
target_include_directories(common2 PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools ./otherarch/sdcpp ./otherarch/sdcpp/thirdparty ./examples ./common)
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(sdtype_adapter
otherarch/sdcpp/sdtype_adapter.cpp)
target_include_directories(sdtype_adapter PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools ./otherarch/sdcpp ./otherarch/sdcpp/thirdparty ./examples ./common)
target_compile_features(sdtype_adapter PUBLIC cxx_std_11) # don't bump
target_link_libraries(sdtype_adapter PRIVATE common2 ggml ${LLAMA_EXTRA_LIBS})
set_target_properties(sdtype_adapter PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(whisper_adapter
otherarch/whispercpp/whisper_adapter.cpp)
target_include_directories(whisper_adapter PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools ./otherarch/whispercpp ./examples ./common)
target_compile_features(whisper_adapter PUBLIC cxx_std_11) # don't bump
target_link_libraries(whisper_adapter PRIVATE common2 ggml ${LLAMA_EXTRA_LIBS})
set_target_properties(whisper_adapter PROPERTIES POSITION_INDEPENDENT_CODE ON)
add_library(gpttype_adapter
gpttype_adapter.cpp)
target_include_directories(gpttype_adapter PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools ./otherarch/sdcpp ./otherarch/sdcpp/thirdparty ./examples ./common)
target_compile_features(gpttype_adapter PUBLIC cxx_std_11) # don't bump
target_link_libraries(gpttype_adapter PRIVATE common2 ggml ${LLAMA_EXTRA_LIBS})
set_target_properties(gpttype_adapter PROPERTIES POSITION_INDEPENDENT_CODE ON)
if (LLAMA_CUBLAS)
set(TARGET koboldcpp_cublas)
add_library(${TARGET} SHARED expose.cpp expose.h)
target_include_directories(${TARGET} PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools ./otherarch/sdcpp ./otherarch/sdcpp/thirdparty ./examples ./common)
target_compile_features(${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 Threads::Threads ggml ggml_v1 ggml_v2 ggml_v3 common2 gpttype_adapter whisper_adapter sdtype_adapter ${LLAMA_EXTRA_LIBS})
target_compile_features(${TARGET} PRIVATE cxx_std_11)
endif()
if (LLAMA_HIPBLAS)
set(TARGET koboldcpp_hipblas)
add_library(${TARGET} SHARED expose.cpp expose.h)
target_include_directories(${TARGET} PUBLIC . ./ggml/include ./ggml/src ./include ./otherarch ./otherarch/tools ./otherarch/sdcpp ./otherarch/sdcpp/thirdparty ./examples ./common)
target_compile_features(${TARGET} PUBLIC cxx_std_11) # don't bump
set_target_properties(${TARGET} PROPERTIES PREFIX "")
set_target_properties(${TARGET} PROPERTIES OUTPUT_NAME "koboldcpp_hipblas")
set_target_properties(${TARGET} PROPERTIES POSITION_INDEPENDENT_CODE ON)
target_link_libraries(${TARGET} PUBLIC Threads::Threads ggml ggml_v1 ggml_v2 ggml_v3 common2 gpttype_adapter whisper_adapter sdtype_adapter ${LLAMA_EXTRA_LIBS})
target_compile_features(${TARGET} PRIVATE cxx_std_11)
endif()