mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-08 07:10:32 +00:00
119 lines
3.7 KiB
C++
119 lines
3.7 KiB
C++
#include "llmodel.h"
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#include "dlhandle.h"
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#include <iostream>
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#include <string>
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#include <vector>
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#include <fstream>
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#include <filesystem>
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#include <cassert>
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#include <cstdlib>
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std::string LLModel::m_implementations_search_path = ".";
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static bool requires_avxonly() {
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#ifdef __x86_64__
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#ifndef _MSC_VER
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return !__builtin_cpu_supports("avx2");
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#else
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int cpuInfo[4];
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__cpuidex(cpuInfo, 7, 0);
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return !(cpuInfo[1] & (1 << 5));
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#endif
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#else
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return false; // Don't know how to handle non-x86_64
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#endif
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}
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LLModel::Implementation::Implementation(Dlhandle &&dlhandle_) : dlhandle(new Dlhandle(std::move(dlhandle_))) {
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auto get_model_type = dlhandle->get<const char *()>("get_model_type");
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assert(get_model_type);
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modelType = get_model_type();
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auto get_build_variant = dlhandle->get<const char *()>("get_build_variant");
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assert(get_build_variant);
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buildVariant = get_build_variant();
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magicMatch = dlhandle->get<bool(std::ifstream&)>("magic_match");
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assert(magicMatch);
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construct_ = dlhandle->get<LLModel *()>("construct");
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assert(construct_);
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}
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LLModel::Implementation::Implementation(Implementation &&o)
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: construct_(o.construct_)
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, modelType(o.modelType)
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, buildVariant(o.buildVariant)
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, magicMatch(o.magicMatch)
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, dlhandle(o.dlhandle) {
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o.dlhandle = nullptr;
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}
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LLModel::Implementation::~Implementation() {
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if (dlhandle) delete dlhandle;
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}
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bool LLModel::Implementation::isImplementation(const Dlhandle &dl) {
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return dl.get<bool(uint32_t)>("is_g4a_backend_model_implementation");
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}
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const std::vector<LLModel::Implementation> &LLModel::implementationList() {
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// NOTE: allocated on heap so we leak intentionally on exit so we have a chance to clean up the
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// individual models without the cleanup of the static list interfering
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static auto* libs = new std::vector<LLModel::Implementation>([] () {
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std::vector<LLModel::Implementation> fres;
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auto search_in_directory = [&](const std::filesystem::path& path) {
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// Iterate over all libraries
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for (const auto& f : std::filesystem::directory_iterator(path)) {
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const std::filesystem::path& p = f.path();
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if (p.extension() != LIB_FILE_EXT) continue;
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// Add to list if model implementation
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try {
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Dlhandle dl(p.string());
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if (!Implementation::isImplementation(dl)) {
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continue;
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}
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fres.emplace_back(Implementation(std::move(dl)));
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} catch (...) {}
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}
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};
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search_in_directory(m_implementations_search_path);
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#if defined(__APPLE__)
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search_in_directory("../../../");
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#endif
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return fres;
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}());
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// Return static result
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return *libs;
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}
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const LLModel::Implementation* LLModel::implementation(std::ifstream& f, const std::string& buildVariant) {
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for (const auto& i : implementationList()) {
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f.seekg(0);
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if (!i.magicMatch(f)) continue;
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if (buildVariant != i.buildVariant) continue;
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return &i;
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}
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return nullptr;
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}
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LLModel *LLModel::construct(const std::string &modelPath, std::string buildVariant) {
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//TODO: Auto-detect CUDA/OpenCL
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if (buildVariant == "auto") {
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if (requires_avxonly()) {
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buildVariant = "avxonly";
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} else {
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buildVariant = "default";
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}
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}
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// Read magic
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std::ifstream f(modelPath, std::ios::binary);
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if (!f) return nullptr;
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// Get correct implementation
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auto impl = implementation(f, buildVariant);
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if (!impl) return nullptr;
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f.close();
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// Construct and return llmodel implementation
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return impl->construct();
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}
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