mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-08 07:10:32 +00:00
289 lines
9.7 KiB
C++
289 lines
9.7 KiB
C++
#include "llmodel_c.h"
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#include "llmodel.h"
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#include <cerrno>
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#include <cstring>
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#include <iostream>
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#include <memory>
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#include <optional>
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#include <utility>
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struct LLModelWrapper {
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LLModel *llModel = nullptr;
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LLModel::PromptContext promptContext;
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~LLModelWrapper() { delete llModel; }
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};
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llmodel_model llmodel_model_create(const char *model_path) {
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const char *error;
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auto fres = llmodel_model_create2(model_path, "auto", &error);
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if (!fres) {
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fprintf(stderr, "Unable to instantiate model: %s\n", error);
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}
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return fres;
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}
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static void llmodel_set_error(const char **errptr, const char *message) {
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thread_local static std::string last_error_message;
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if (errptr) {
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last_error_message = message;
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*errptr = last_error_message.c_str();
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}
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}
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llmodel_model llmodel_model_create2(const char *model_path, const char *build_variant, const char **error) {
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LLModel *llModel;
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try {
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llModel = LLModel::Implementation::construct(model_path, build_variant);
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} catch (const std::exception& e) {
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llmodel_set_error(error, e.what());
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return nullptr;
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}
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if (!llModel) {
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llmodel_set_error(error, "Model format not supported (no matching implementation found)");
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return nullptr;
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}
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auto wrapper = new LLModelWrapper;
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wrapper->llModel = llModel;
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return wrapper;
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}
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void llmodel_model_destroy(llmodel_model model) {
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delete static_cast<LLModelWrapper *>(model);
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}
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size_t llmodel_required_mem(llmodel_model model, const char *model_path, int n_ctx, int ngl)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->requiredMem(model_path, n_ctx, ngl);
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}
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bool llmodel_loadModel(llmodel_model model, const char *model_path, int n_ctx, int ngl)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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std::string modelPath(model_path);
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if (wrapper->llModel->isModelBlacklisted(modelPath)) {
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size_t slash = modelPath.find_last_of("/\\");
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auto basename = slash == std::string::npos ? modelPath : modelPath.substr(slash + 1);
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std::cerr << "warning: model '" << basename << "' is out-of-date, please check for an updated version\n";
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}
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return wrapper->llModel->loadModel(modelPath, n_ctx, ngl);
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}
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bool llmodel_isModelLoaded(llmodel_model model)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->isModelLoaded();
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}
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uint64_t llmodel_get_state_size(llmodel_model model)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->stateSize();
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}
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uint64_t llmodel_save_state_data(llmodel_model model, uint8_t *dest)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->saveState(dest);
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}
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uint64_t llmodel_restore_state_data(llmodel_model model, const uint8_t *src)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->restoreState(src);
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}
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void llmodel_prompt(llmodel_model model, const char *prompt,
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const char *prompt_template,
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llmodel_prompt_callback prompt_callback,
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llmodel_response_callback response_callback,
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llmodel_recalculate_callback recalculate_callback,
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llmodel_prompt_context *ctx,
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bool special,
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const char *fake_reply)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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auto response_func = [response_callback](int32_t token_id, const std::string &response) {
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return response_callback(token_id, response.c_str());
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};
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if (size_t(ctx->n_past) < wrapper->promptContext.tokens.size())
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wrapper->promptContext.tokens.resize(ctx->n_past);
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// Copy the C prompt context
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wrapper->promptContext.n_past = ctx->n_past;
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wrapper->promptContext.n_ctx = ctx->n_ctx;
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wrapper->promptContext.n_predict = ctx->n_predict;
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wrapper->promptContext.top_k = ctx->top_k;
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wrapper->promptContext.top_p = ctx->top_p;
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wrapper->promptContext.min_p = ctx->min_p;
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wrapper->promptContext.temp = ctx->temp;
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wrapper->promptContext.n_batch = ctx->n_batch;
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wrapper->promptContext.repeat_penalty = ctx->repeat_penalty;
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wrapper->promptContext.repeat_last_n = ctx->repeat_last_n;
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wrapper->promptContext.contextErase = ctx->context_erase;
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std::string fake_reply_str;
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if (fake_reply) { fake_reply_str = fake_reply; }
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auto *fake_reply_p = fake_reply ? &fake_reply_str : nullptr;
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// Call the C++ prompt method
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wrapper->llModel->prompt(prompt, prompt_template, prompt_callback, response_func, recalculate_callback,
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wrapper->promptContext, special, fake_reply_p);
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// Update the C context by giving access to the wrappers raw pointers to std::vector data
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// which involves no copies
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ctx->logits = wrapper->promptContext.logits.data();
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ctx->logits_size = wrapper->promptContext.logits.size();
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ctx->tokens = wrapper->promptContext.tokens.data();
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ctx->tokens_size = wrapper->promptContext.tokens.size();
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// Update the rest of the C prompt context
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ctx->n_past = wrapper->promptContext.n_past;
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ctx->n_ctx = wrapper->promptContext.n_ctx;
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ctx->n_predict = wrapper->promptContext.n_predict;
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ctx->top_k = wrapper->promptContext.top_k;
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ctx->top_p = wrapper->promptContext.top_p;
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ctx->min_p = wrapper->promptContext.min_p;
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ctx->temp = wrapper->promptContext.temp;
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ctx->n_batch = wrapper->promptContext.n_batch;
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ctx->repeat_penalty = wrapper->promptContext.repeat_penalty;
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ctx->repeat_last_n = wrapper->promptContext.repeat_last_n;
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ctx->context_erase = wrapper->promptContext.contextErase;
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}
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float *llmodel_embed(
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llmodel_model model, const char **texts, size_t *embedding_size, const char *prefix, int dimensionality,
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size_t *token_count, bool do_mean, bool atlas, llmodel_emb_cancel_callback cancel_cb, const char **error
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) {
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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if (!texts || !*texts) {
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llmodel_set_error(error, "'texts' is NULL or empty");
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return nullptr;
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}
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std::vector<std::string> textsVec;
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while (*texts) { textsVec.emplace_back(*texts++); }
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size_t embd_size;
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float *embedding;
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try {
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embd_size = wrapper->llModel->embeddingSize();
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if (dimensionality > 0 && dimensionality < int(embd_size))
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embd_size = dimensionality;
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embd_size *= textsVec.size();
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std::optional<std::string> prefixStr;
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if (prefix) { prefixStr = prefix; }
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embedding = new float[embd_size];
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wrapper->llModel->embed(textsVec, embedding, prefixStr, dimensionality, token_count, do_mean, atlas, cancel_cb);
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} catch (std::exception const &e) {
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llmodel_set_error(error, e.what());
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return nullptr;
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}
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*embedding_size = embd_size;
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return embedding;
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}
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void llmodel_free_embedding(float *ptr)
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{
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delete[] ptr;
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}
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void llmodel_setThreadCount(llmodel_model model, int32_t n_threads)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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wrapper->llModel->setThreadCount(n_threads);
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}
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int32_t llmodel_threadCount(llmodel_model model)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->threadCount();
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}
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void llmodel_set_implementation_search_path(const char *path)
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{
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LLModel::Implementation::setImplementationsSearchPath(path);
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}
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const char *llmodel_get_implementation_search_path()
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{
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return LLModel::Implementation::implementationsSearchPath().c_str();
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}
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// RAII wrapper around a C-style struct
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struct llmodel_gpu_device_cpp: llmodel_gpu_device {
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llmodel_gpu_device_cpp() = default;
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llmodel_gpu_device_cpp(const llmodel_gpu_device_cpp &) = delete;
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llmodel_gpu_device_cpp( llmodel_gpu_device_cpp &&) = delete;
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const llmodel_gpu_device_cpp &operator=(const llmodel_gpu_device_cpp &) = delete;
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llmodel_gpu_device_cpp &operator=( llmodel_gpu_device_cpp &&) = delete;
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~llmodel_gpu_device_cpp() {
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free(const_cast<char *>(name));
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free(const_cast<char *>(vendor));
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}
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};
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static_assert(sizeof(llmodel_gpu_device_cpp) == sizeof(llmodel_gpu_device));
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struct llmodel_gpu_device *llmodel_available_gpu_devices(size_t memoryRequired, int *num_devices)
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{
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static thread_local std::unique_ptr<llmodel_gpu_device_cpp[]> c_devices;
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auto devices = LLModel::Implementation::availableGPUDevices(memoryRequired);
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*num_devices = devices.size();
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if (devices.empty()) { return nullptr; /* no devices */ }
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c_devices = std::make_unique<llmodel_gpu_device_cpp[]>(devices.size());
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for (unsigned i = 0; i < devices.size(); i++) {
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const auto &dev = devices[i];
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auto &cdev = c_devices[i];
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cdev.index = dev.index;
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cdev.type = dev.type;
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cdev.heapSize = dev.heapSize;
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cdev.name = strdup(dev.name.c_str());
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cdev.vendor = strdup(dev.vendor.c_str());
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}
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return c_devices.get();
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}
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bool llmodel_gpu_init_gpu_device_by_string(llmodel_model model, size_t memoryRequired, const char *device)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->initializeGPUDevice(memoryRequired, std::string(device));
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}
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bool llmodel_gpu_init_gpu_device_by_struct(llmodel_model model, const llmodel_gpu_device *device)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->initializeGPUDevice(device->index);
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}
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bool llmodel_gpu_init_gpu_device_by_int(llmodel_model model, int device)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->initializeGPUDevice(device);
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}
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bool llmodel_has_gpu_device(llmodel_model model)
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{
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auto *wrapper = static_cast<LLModelWrapper *>(model);
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return wrapper->llModel->hasGPUDevice();
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}
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