mirror of https://github.com/nomic-ai/gpt4all
Dlopen backend 5 (#779)
Major change to the backend that allows for pluggable versions of llama.cpp/ggml. This was squashed merged from dlopen_backend_5 where the history is preserved.pull/913/head
parent
5dea13af51
commit
9c6c09cbd2
@ -1,3 +1,9 @@
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[submodule "llama.cpp"]
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path = gpt4all-backend/llama.cpp
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[submodule "llama.cpp-230519"]
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path = gpt4all-backend/llama.cpp-230519
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url = https://github.com/ggerganov/llama.cpp.git
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[submodule "llama.cpp-230511"]
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path = gpt4all-backend/llama.cpp-230511
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url = https://github.com/manyoso/llama.cpp.git
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[submodule "llama.cpp-mainline"]
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path = gpt4all-backend/llama.cpp-mainline
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url = https://github.com/ggerganov/llama.cpp.git
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@ -0,0 +1,101 @@
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#ifndef DLHANDLE_H
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#define DLHANDLE_H
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#ifndef _WIN32
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#include <string>
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#include <stdexcept>
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#include <utility>
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#include <dlfcn.h>
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class Dlhandle {
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void *chandle;
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public:
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class Exception : public std::runtime_error {
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public:
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using std::runtime_error::runtime_error;
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};
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Dlhandle() : chandle(nullptr) {}
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Dlhandle(const std::string& fpath, int flags = RTLD_LAZY) {
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chandle = dlopen(fpath.c_str(), flags);
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if (!chandle) {
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throw Exception("dlopen(\""+fpath+"\"): "+dlerror());
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}
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}
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Dlhandle(const Dlhandle& o) = delete;
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Dlhandle(Dlhandle&& o) : chandle(o.chandle) {
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o.chandle = nullptr;
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}
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~Dlhandle() {
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if (chandle) dlclose(chandle);
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}
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auto operator =(Dlhandle&& o) {
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chandle = std::exchange(o.chandle, nullptr);
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}
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bool is_valid() const {
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return chandle != nullptr;
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}
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operator bool() const {
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return is_valid();
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}
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template<typename T>
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T* get(const std::string& fname) {
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auto fres = reinterpret_cast<T*>(dlsym(chandle, fname.c_str()));
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return (dlerror()==NULL)?fres:nullptr;
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}
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auto get_fnc(const std::string& fname) {
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return get<void*(...)>(fname);
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}
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};
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#else
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#include <string>
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#include <exception>
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#include <stdexcept>
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#include <windows.h>
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#include <libloaderapi.h>
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class Dlhandle {
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HMODULE chandle;
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public:
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class Exception : public std::runtime_error {
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public:
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using std::runtime_error::runtime_error;
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};
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Dlhandle() : chandle(nullptr) {}
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Dlhandle(const std::string& fpath) {
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chandle = LoadLibraryA(fpath.c_str());
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if (!chandle) {
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throw Exception("dlopen(\""+fpath+"\"): Error");
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}
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}
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Dlhandle(const Dlhandle& o) = delete;
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Dlhandle(Dlhandle&& o) : chandle(o.chandle) {
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o.chandle = nullptr;
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}
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~Dlhandle() {
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if (chandle) FreeLibrary(chandle);
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}
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bool is_valid() const {
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return chandle != nullptr;
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}
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template<typename T>
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T* get(const std::string& fname) {
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return reinterpret_cast<T*>(GetProcAddress(chandle, fname.c_str()));
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}
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auto get_fnc(const std::string& fname) {
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return get<void*(...)>(fname);
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}
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};
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#endif
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#endif // DLHANDLE_H
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@ -0,0 +1 @@
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Subproject commit 5ea43392731040b454c293123839b90e159cbb99
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@ -0,0 +1 @@
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Subproject commit ea600071cb005267e9e8f2629c1e406dd5fde083
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@ -0,0 +1,364 @@
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cmake_minimum_required(VERSION 3.12) # Don't bump this version for no reason
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set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
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if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE)
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set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
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set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo")
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endif()
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set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
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if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
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set(LLAMA_STANDALONE ON)
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# configure project version
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# TODO
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else()
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set(LLAMA_STANDALONE OFF)
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endif()
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if (EMSCRIPTEN)
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set(BUILD_SHARED_LIBS_DEFAULT OFF)
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option(LLAMA_WASM_SINGLE_FILE "llama: embed WASM inside the generated llama.js" ON)
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else()
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if (MINGW)
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set(BUILD_SHARED_LIBS_DEFAULT OFF)
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else()
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set(BUILD_SHARED_LIBS_DEFAULT ON)
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endif()
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endif()
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#
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# Option list
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#
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# general
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option(LLAMA_STATIC "llama: static link libraries" OFF)
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option(LLAMA_NATIVE "llama: enable -march=native flag" OFF)
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option(LLAMA_LTO "llama: enable link time optimization" OFF)
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# debug
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option(LLAMA_ALL_WARNINGS "llama: enable all compiler warnings" ON)
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option(LLAMA_ALL_WARNINGS_3RD_PARTY "llama: enable all compiler warnings in 3rd party libs" OFF)
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option(LLAMA_GPROF "llama: enable gprof" OFF)
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# sanitizers
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option(LLAMA_SANITIZE_THREAD "llama: enable thread sanitizer" OFF)
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option(LLAMA_SANITIZE_ADDRESS "llama: enable address sanitizer" OFF)
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option(LLAMA_SANITIZE_UNDEFINED "llama: enable undefined sanitizer" OFF)
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# instruction set specific
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#option(LLAMA_AVX "llama: enable AVX" ON)
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#option(LLAMA_AVX2 "llama: enable AVX2" ON)
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#option(LLAMA_AVX512 "llama: enable AVX512" OFF)
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#option(LLAMA_AVX512_VBMI "llama: enable AVX512-VBMI" OFF)
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#option(LLAMA_AVX512_VNNI "llama: enable AVX512-VNNI" OFF)
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#option(LLAMA_FMA "llama: enable FMA" ON)
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# in MSVC F16C is implied with AVX2/AVX512
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#if (NOT MSVC)
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# option(LLAMA_F16C "llama: enable F16C" ON)
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#endif()
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# 3rd party libs
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option(LLAMA_ACCELERATE "llama: enable Accelerate framework" ON)
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option(LLAMA_OPENBLAS "llama: use OpenBLAS" OFF)
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option(LLAMA_CUBLAS "llama: use cuBLAS" OFF)
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option(LLAMA_CLBLAST "llama: use CLBlast" OFF)
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#
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# Compile flags
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#
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set(CMAKE_C_STANDARD 11)
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set(CMAKE_C_STANDARD_REQUIRED true)
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set(THREADS_PREFER_PTHREAD_FLAG ON)
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find_package(Threads REQUIRED)
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if (NOT MSVC)
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if (LLAMA_SANITIZE_THREAD)
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add_compile_options(-fsanitize=thread)
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link_libraries(-fsanitize=thread)
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endif()
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if (LLAMA_SANITIZE_ADDRESS)
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add_compile_options(-fsanitize=address -fno-omit-frame-pointer)
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link_libraries(-fsanitize=address)
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endif()
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if (LLAMA_SANITIZE_UNDEFINED)
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add_compile_options(-fsanitize=undefined)
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link_libraries(-fsanitize=undefined)
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endif()
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endif()
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if (APPLE AND LLAMA_ACCELERATE)
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find_library(ACCELERATE_FRAMEWORK Accelerate)
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if (ACCELERATE_FRAMEWORK)
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message(STATUS "Accelerate framework found")
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add_compile_definitions(GGML_USE_ACCELERATE)
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ${ACCELERATE_FRAMEWORK})
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else()
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message(WARNING "Accelerate framework not found")
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endif()
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endif()
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if (LLAMA_OPENBLAS)
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if (LLAMA_STATIC)
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set(BLA_STATIC ON)
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endif()
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set(BLA_VENDOR OpenBLAS)
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find_package(BLAS)
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if (BLAS_FOUND)
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message(STATUS "OpenBLAS found")
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add_compile_definitions(GGML_USE_OPENBLAS)
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add_link_options(${BLAS_LIBRARIES})
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} openblas)
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# find header file
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set(OPENBLAS_INCLUDE_SEARCH_PATHS
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/usr/include
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/usr/include/openblas
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/usr/include/openblas-base
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/usr/local/include
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/usr/local/include/openblas
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/usr/local/include/openblas-base
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/opt/OpenBLAS/include
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$ENV{OpenBLAS_HOME}
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$ENV{OpenBLAS_HOME}/include
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)
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find_path(OPENBLAS_INC NAMES cblas.h PATHS ${OPENBLAS_INCLUDE_SEARCH_PATHS})
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add_compile_options(-I${OPENBLAS_INC})
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else()
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message(WARNING "OpenBLAS not found")
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endif()
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endif()
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if (LLAMA_ALL_WARNINGS)
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if (NOT MSVC)
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set(c_flags
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-Wall
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-Wextra
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-Wpedantic
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-Wcast-qual
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-Wdouble-promotion
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-Wshadow
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-Wstrict-prototypes
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-Wpointer-arith
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)
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set(cxx_flags
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-Wall
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-Wextra
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-Wpedantic
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-Wcast-qual
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-Wno-unused-function
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-Wno-multichar
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)
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else()
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# todo : msvc
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endif()
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add_compile_options(
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"$<$<COMPILE_LANGUAGE:C>:${c_flags}>"
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"$<$<COMPILE_LANGUAGE:CXX>:${cxx_flags}>"
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)
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endif()
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if (MSVC)
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add_compile_definitions(_CRT_SECURE_NO_WARNINGS)
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if (BUILD_SHARED_LIBS)
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set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ON)
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endif()
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endif()
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if (LLAMA_LTO)
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include(CheckIPOSupported)
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check_ipo_supported(RESULT result OUTPUT output)
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if (result)
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set(CMAKE_INTERPROCEDURAL_OPTIMIZATION TRUE)
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else()
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message(WARNING "IPO is not supported: ${output}")
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endif()
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endif()
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# Architecture specific
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# TODO: probably these flags need to be tweaked on some architectures
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# feel free to update the Makefile for your architecture and send a pull request or issue
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message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}")
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if (NOT MSVC)
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if (LLAMA_STATIC)
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add_link_options(-static)
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if (MINGW)
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add_link_options(-static-libgcc -static-libstdc++)
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endif()
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endif()
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if (LLAMA_GPROF)
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add_compile_options(-pg)
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endif()
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if (LLAMA_NATIVE)
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add_compile_options(-march=native)
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endif()
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endif()
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function(include_ggml DIRECTORY SUFFIX WITH_LLAMA)
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message(STATUS "Configuring ggml implementation target llama${SUFFIX} in ${CMAKE_CURRENT_SOURCE_DIR}/${DIRECTORY}")
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if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64")
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message(STATUS "ARM detected")
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if (MSVC)
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# TODO: arm msvc?
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else()
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if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64")
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add_compile_options(-mcpu=native)
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endif()
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# TODO: armv6,7,8 version specific flags
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endif()
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elseif (${CMAKE_SYSTEM_PROCESSOR} MATCHES "^(x86_64|i686|AMD64)$")
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message(STATUS "x86 detected")
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if (MSVC)
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if (LLAMA_AVX512)
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add_compile_options($<$<COMPILE_LANGUAGE:C>:/arch:AVX512>)
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add_compile_options($<$<COMPILE_LANGUAGE:CXX>:/arch:AVX512>)
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# MSVC has no compile-time flags enabling specific
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# AVX512 extensions, neither it defines the
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# macros corresponding to the extensions.
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# Do it manually.
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if (LLAMA_AVX512_VBMI)
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add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VBMI__>)
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add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VBMI__>)
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endif()
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if (LLAMA_AVX512_VNNI)
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add_compile_definitions($<$<COMPILE_LANGUAGE:C>:__AVX512VNNI__>)
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add_compile_definitions($<$<COMPILE_LANGUAGE:CXX>:__AVX512VNNI__>)
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endif()
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elseif (LLAMA_AVX2)
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add_compile_options($<$<COMPILE_LANGUAGE:C>:/arch:AVX2>)
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add_compile_options($<$<COMPILE_LANGUAGE:CXX>:/arch:AVX2>)
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elseif (LLAMA_AVX)
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add_compile_options($<$<COMPILE_LANGUAGE:C>:/arch:AVX>)
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add_compile_options($<$<COMPILE_LANGUAGE:CXX>:/arch:AVX>)
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endif()
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else()
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if (LLAMA_F16C)
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add_compile_options(-mf16c)
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endif()
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if (LLAMA_FMA)
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add_compile_options(-mfma)
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endif()
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if (LLAMA_AVX)
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add_compile_options(-mavx)
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endif()
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if (LLAMA_AVX2)
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add_compile_options(-mavx2)
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endif()
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if (LLAMA_AVX512)
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add_compile_options(-mavx512f)
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add_compile_options(-mavx512bw)
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endif()
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if (LLAMA_AVX512_VBMI)
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add_compile_options(-mavx512vbmi)
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endif()
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if (LLAMA_AVX512_VNNI)
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add_compile_options(-mavx512vnni)
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endif()
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endif()
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else()
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# TODO: support PowerPC
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message(STATUS "Unknown architecture")
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endif()
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#
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# Build libraries
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#
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if (LLAMA_CUBLAS AND EXISTS ${DIRECTORY}/ggml-cuda.h)
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cmake_minimum_required(VERSION 3.17)
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find_package(CUDAToolkit)
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if (CUDAToolkit_FOUND)
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message(STATUS "cuBLAS found")
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enable_language(CUDA)
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set(GGML_CUDA_SOURCES ${DIRECTORY}/ggml-cuda.cu ${DIRECTORY}/ggml-cuda.h)
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add_compile_definitions(GGML_USE_CUBLAS)
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if (LLAMA_STATIC)
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart_static CUDA::cublas_static CUDA::cublasLt_static)
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else()
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cudart CUDA::cublas CUDA::cublasLt)
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endif()
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else()
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message(WARNING "cuBLAS not found")
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endif()
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endif()
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if (LLAMA_CLBLAST AND EXISTS ${DIRECTORY}/ggml-opencl.h)
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find_package(CLBlast)
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if (CLBlast_FOUND)
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message(STATUS "CLBlast found")
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set(GGML_OPENCL_SOURCES ${DIRECTORY}/ggml-opencl.c ${DIRECTORY}/ggml-opencl.h)
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add_compile_definitions(GGML_USE_CLBLAST)
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set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} clblast)
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else()
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message(WARNING "CLBlast not found")
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endif()
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endif()
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add_library(ggml${SUFFIX} OBJECT
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${DIRECTORY}/ggml.c
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${DIRECTORY}/ggml.h
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${GGML_CUDA_SOURCES}
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${GGML_OPENCL_SOURCES})
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target_include_directories(ggml${SUFFIX} PUBLIC ${DIRECTORY})
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target_compile_features(ggml${SUFFIX} PUBLIC c_std_11) # don't bump
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target_link_libraries(ggml${SUFFIX} PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS})
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if (BUILD_SHARED_LIBS)
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set_target_properties(ggml${SUFFIX} PROPERTIES POSITION_INDEPENDENT_CODE ON)
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endif()
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||||
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if (WITH_LLAMA)
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# Backwards compatibility with old llama.cpp versions
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set(LLAMA_UTIL_SOURCE_FILE llama-util.h)
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if (NOT EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${DIRECTORY}/${LLAMA_UTIL_SOURCE_FILE})
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set(LLAMA_UTIL_SOURCE_FILE llama_util.h)
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endif()
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add_library(llama${SUFFIX}
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${DIRECTORY}/llama.cpp
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${DIRECTORY}/llama.h
|
||||
${DIRECTORY}/${LLAMA_UTIL_SOURCE_FILE})
|
||||
|
||||
target_include_directories(llama${SUFFIX} PUBLIC ${DIRECTORY})
|
||||
target_compile_features(llama${SUFFIX} PUBLIC cxx_std_11) # don't bump
|
||||
target_link_libraries(llama${SUFFIX} PRIVATE ggml${SUFFIX} ${LLAMA_EXTRA_LIBS})
|
||||
|
||||
if (BUILD_SHARED_LIBS)
|
||||
set_target_properties(llama${SUFFIX} PROPERTIES POSITION_INDEPENDENT_CODE ON)
|
||||
target_compile_definitions(llama${SUFFIX} PRIVATE LLAMA_SHARED LLAMA_BUILD)
|
||||
endif()
|
||||
endif()
|
||||
|
||||
if (GGML_CUDA_SOURCES)
|
||||
message(STATUS "GGML CUDA sources found, configuring CUDA architecture")
|
||||
set_property(TARGET ggml${SUFFIX} PROPERTY CUDA_ARCHITECTURES OFF)
|
||||
set_property(TARGET ggml${SUFFIX} PROPERTY CUDA_SELECT_NVCC_ARCH_FLAGS "Auto")
|
||||
if (WITH_LLAMA)
|
||||
set_property(TARGET llama${SUFFIX} PROPERTY CUDA_ARCHITECTURES OFF)
|
||||
endif()
|
||||
endif()
|
||||
endfunction()
|
@ -0,0 +1,90 @@
|
||||
#include "llmodel.h"
|
||||
#include "dlhandle.h"
|
||||
|
||||
#include <string>
|
||||
#include <vector>
|
||||
#include <fstream>
|
||||
#include <filesystem>
|
||||
|
||||
static Dlhandle *get_implementation(std::ifstream& f, const std::string& buildVariant) {
|
||||
// Collect all model implementation libraries
|
||||
// NOTE: allocated on heap so we leak intentionally on exit so we have a chance to clean up the
|
||||
// individual models without the cleanup of the static list interfering
|
||||
static auto* libs = new std::vector<Dlhandle>([] () {
|
||||
std::vector<Dlhandle> fres;
|
||||
|
||||
auto search_in_directory = [&](const std::filesystem::path& path) {
|
||||
// Iterate over all libraries
|
||||
for (const auto& f : std::filesystem::directory_iterator(path)) {
|
||||
// Get path
|
||||
const auto& p = f.path();
|
||||
// Check extension
|
||||
if (p.extension() != LIB_FILE_EXT) continue;
|
||||
// Add to list if model implementation
|
||||
try {
|
||||
Dlhandle dl(p.string());
|
||||
if (dl.get<bool(uint32_t)>("is_g4a_backend_model_implementation")) {
|
||||
fres.emplace_back(std::move(dl));
|
||||
}
|
||||
} catch (...) {}
|
||||
}
|
||||
};
|
||||
|
||||
search_in_directory(".");
|
||||
#if defined(__APPLE__)
|
||||
search_in_directory("../../../");
|
||||
#endif
|
||||
return fres;
|
||||
}());
|
||||
// Iterate over all libraries
|
||||
for (auto& dl : *libs) {
|
||||
f.seekg(0);
|
||||
// Check that magic matches
|
||||
auto magic_match = dl.get<bool(std::ifstream&)>("magic_match");
|
||||
if (!magic_match || !magic_match(f)) {
|
||||
continue;
|
||||
}
|
||||
// Check that build variant is correct
|
||||
auto get_build_variant = dl.get<const char *()>("get_build_variant");
|
||||
if (buildVariant != (get_build_variant?get_build_variant():"default")) {
|
||||
continue;
|
||||
}
|
||||
// Looks like we're good to go, return this dlhandle
|
||||
return &dl;
|
||||
}
|
||||
// Nothing found, so return nothing
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
static bool requires_avxonly() {
|
||||
#ifdef __x86_64__
|
||||
return !__builtin_cpu_supports("avx2") && !__builtin_cpu_supports("fma");
|
||||
#else
|
||||
return false; // Don't know how to handle ARM
|
||||
#endif
|
||||
}
|
||||
|
||||
LLModel *LLModel::construct(const std::string &modelPath, std::string buildVariant) {
|
||||
//TODO: Auto-detect
|
||||
if (buildVariant == "auto") {
|
||||
if (requires_avxonly()) {
|
||||
buildVariant = "avxonly";
|
||||
} else {
|
||||
buildVariant = "default";
|
||||
}
|
||||
}
|
||||
// Read magic
|
||||
std::ifstream f(modelPath, std::ios::binary);
|
||||
if (!f) return nullptr;
|
||||
// Get correct implementation
|
||||
auto impl = get_implementation(f, buildVariant);
|
||||
if (!impl) return nullptr;
|
||||
f.close();
|
||||
// Get inference constructor
|
||||
auto constructor = impl->get<LLModel *()>("construct");
|
||||
if (!constructor) return nullptr;
|
||||
// Construct llmodel implementation
|
||||
auto fres = constructor();
|
||||
// Return final instance
|
||||
return fres;
|
||||
}
|
Loading…
Reference in New Issue