mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-06 09:20:33 +00:00
9c6c09cbd2
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.
91 lines
2.9 KiB
C++
91 lines
2.9 KiB
C++
#include "llmodel.h"
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#include "dlhandle.h"
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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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static Dlhandle *get_implementation(std::ifstream& f, const std::string& buildVariant) {
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// Collect all model implementation libraries
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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<Dlhandle>([] () {
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std::vector<Dlhandle> 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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// Get path
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const auto& p = f.path();
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// Check extension
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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 (dl.get<bool(uint32_t)>("is_g4a_backend_model_implementation")) {
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fres.emplace_back(std::move(dl));
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}
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} catch (...) {}
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}
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};
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search_in_directory(".");
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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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// Iterate over all libraries
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for (auto& dl : *libs) {
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f.seekg(0);
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// Check that magic matches
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auto magic_match = dl.get<bool(std::ifstream&)>("magic_match");
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if (!magic_match || !magic_match(f)) {
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continue;
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}
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// Check that build variant is correct
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auto get_build_variant = dl.get<const char *()>("get_build_variant");
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if (buildVariant != (get_build_variant?get_build_variant():"default")) {
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continue;
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}
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// Looks like we're good to go, return this dlhandle
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return &dl;
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}
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// Nothing found, so return nothing
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return nullptr;
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}
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static bool requires_avxonly() {
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#ifdef __x86_64__
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return !__builtin_cpu_supports("avx2") && !__builtin_cpu_supports("fma");
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#else
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return false; // Don't know how to handle ARM
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#endif
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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
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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 = get_implementation(f, buildVariant);
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if (!impl) return nullptr;
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f.close();
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// Get inference constructor
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auto constructor = impl->get<LLModel *()>("construct");
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if (!constructor) return nullptr;
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// Construct llmodel implementation
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auto fres = constructor();
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// Return final instance
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return fres;
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}
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