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https://github.com/mudler/LocalAI.git
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1c57f8d077
* feat(sycl): Add sycl support (#1647) * onekit: install without prompts * set cmake args only in grpc-server Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * cleanup * fixup sycl source env * Cleanup docs * ci: runs on self-hosted * fix typo * bump llama.cpp * llama.cpp: update server * adapt to upstream changes * adapt to upstream changes * docs: add sycl --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
510 lines
14 KiB
C++
510 lines
14 KiB
C++
// https://github.com/ggerganov/llama.cpp/blob/master/examples/server/utils.hpp
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#pragma once
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#include <string>
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#include <vector>
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#include <set>
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#include <mutex>
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#include <condition_variable>
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#include <unordered_map>
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#include "json.hpp"
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#include "../llava/clip.h"
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using json = nlohmann::json;
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extern bool server_verbose;
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#ifndef SERVER_VERBOSE
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#define SERVER_VERBOSE 1
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#endif
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#if SERVER_VERBOSE != 1
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#define LOG_VERBOSE(MSG, ...)
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#else
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#define LOG_VERBOSE(MSG, ...) \
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do \
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{ \
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if (server_verbose) \
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{ \
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server_log("VERBOSE", __func__, __LINE__, MSG, __VA_ARGS__); \
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} \
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} while (0)
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#endif
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#define LOG_ERROR( MSG, ...) server_log("ERROR", __func__, __LINE__, MSG, __VA_ARGS__)
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#define LOG_WARNING(MSG, ...) server_log("WARNING", __func__, __LINE__, MSG, __VA_ARGS__)
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#define LOG_INFO( MSG, ...) server_log("INFO", __func__, __LINE__, MSG, __VA_ARGS__)
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//
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// parallel
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//
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enum server_state {
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SERVER_STATE_LOADING_MODEL, // Server is starting up, model not fully loaded yet
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SERVER_STATE_READY, // Server is ready and model is loaded
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SERVER_STATE_ERROR // An error occurred, load_model failed
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};
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enum task_type {
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TASK_TYPE_COMPLETION,
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TASK_TYPE_CANCEL,
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TASK_TYPE_NEXT_RESPONSE
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};
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struct task_server {
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int id = -1; // to be filled by llama_server_queue
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int target_id;
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task_type type;
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json data;
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bool infill_mode = false;
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bool embedding_mode = false;
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int multitask_id = -1;
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};
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struct task_result {
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int id;
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int multitask_id = -1;
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bool stop;
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bool error;
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json result_json;
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};
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struct task_multi {
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int id;
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std::set<int> subtasks_remaining{};
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std::vector<task_result> results{};
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};
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// TODO: can become bool if we can't find use of more states
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enum slot_state
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{
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IDLE,
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PROCESSING,
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};
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enum slot_command
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{
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NONE,
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LOAD_PROMPT,
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RELEASE,
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};
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struct slot_params
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{
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bool stream = true;
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bool cache_prompt = false; // remember the prompt to avoid reprocessing all prompt
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uint32_t seed = -1; // RNG seed
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int32_t n_keep = 0; // number of tokens to keep from initial prompt
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int32_t n_predict = -1; // new tokens to predict
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std::vector<std::string> antiprompt;
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json input_prefix;
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json input_suffix;
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};
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struct slot_image
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{
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int32_t id;
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bool request_encode_image = false;
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float * image_embedding = nullptr;
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int32_t image_tokens = 0;
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clip_image_u8 * img_data;
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std::string prefix_prompt; // before of this image
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};
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// completion token output with probabilities
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struct completion_token_output
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{
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struct token_prob
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{
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llama_token tok;
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float prob;
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};
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std::vector<token_prob> probs;
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llama_token tok;
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std::string text_to_send;
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};
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static inline void server_log(const char *level, const char *function, int line,
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const char *message, const nlohmann::ordered_json &extra)
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{
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nlohmann::ordered_json log
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{
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{"timestamp", time(nullptr)},
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{"level", level},
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{"function", function},
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{"line", line},
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{"message", message},
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};
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if (!extra.empty())
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{
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log.merge_patch(extra);
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}
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const std::string str = log.dump(-1, ' ', false, json::error_handler_t::replace);
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printf("%.*s\n", (int)str.size(), str.data());
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fflush(stdout);
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}
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//
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// server utils
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//
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template <typename T>
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static T json_value(const json &body, const std::string &key, const T &default_value)
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{
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// Fallback null to default value
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return body.contains(key) && !body.at(key).is_null()
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? body.value(key, default_value)
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: default_value;
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}
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inline std::string format_chatml(std::vector<json> messages)
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{
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std::ostringstream chatml_msgs;
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for (auto it = messages.begin(); it != messages.end(); ++it) {
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chatml_msgs << "<|im_start|>"
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<< json_value(*it, "role", std::string("user")) << '\n';
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chatml_msgs << json_value(*it, "content", std::string(""))
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<< "<|im_end|>\n";
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}
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chatml_msgs << "<|im_start|>assistant" << '\n';
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return chatml_msgs.str();
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}
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//
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// work queue utils
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//
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struct llama_server_queue {
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int id = 0;
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std::mutex mutex_tasks;
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// queues
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std::vector<task_server> queue_tasks;
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std::vector<task_server> queue_tasks_deferred;
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std::vector<task_multi> queue_multitasks;
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std::condition_variable condition_tasks;
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// callback functions
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std::function<void(task_server&)> callback_new_task;
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std::function<void(task_multi&)> callback_finish_multitask;
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std::function<void(void)> callback_all_task_finished;
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// Add a new task to the end of the queue
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int post(task_server task) {
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std::unique_lock<std::mutex> lock(mutex_tasks);
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if (task.id == -1) {
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task.id = id++;
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}
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queue_tasks.push_back(std::move(task));
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condition_tasks.notify_one();
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return task.id;
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}
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// Add a new task, but defer until one slot is available
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void defer(task_server task) {
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std::unique_lock<std::mutex> lock(mutex_tasks);
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queue_tasks_deferred.push_back(std::move(task));
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}
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// Get the next id for creating anew task
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int get_new_id() {
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std::unique_lock<std::mutex> lock(mutex_tasks);
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return id++;
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}
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// Register function to process a new task
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void on_new_task(std::function<void(task_server&)> callback) {
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callback_new_task = callback;
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}
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// Register function to process a multitask
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void on_finish_multitask(std::function<void(task_multi&)> callback) {
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callback_finish_multitask = callback;
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}
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// Register the function to be called when the batch of tasks is finished
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void on_all_tasks_finished(std::function<void(void)> callback) {
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callback_all_task_finished = callback;
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}
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// Call when the state of one slot is changed
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void notify_slot_changed() {
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// move deferred tasks back to main loop
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std::unique_lock<std::mutex> lock(mutex_tasks);
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for (auto & task : queue_tasks_deferred) {
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queue_tasks.push_back(std::move(task));
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}
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queue_tasks_deferred.clear();
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}
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// Start the main loop. This call is blocking
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[[noreturn]]
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void start_loop() {
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while (true) {
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// new task arrived
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LOG_VERBOSE("have new task", {});
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{
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while (true)
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{
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std::unique_lock<std::mutex> lock(mutex_tasks);
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if (queue_tasks.empty()) {
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lock.unlock();
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break;
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}
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task_server task = queue_tasks.front();
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queue_tasks.erase(queue_tasks.begin());
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lock.unlock();
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LOG_VERBOSE("callback_new_task", {});
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callback_new_task(task);
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}
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LOG_VERBOSE("callback_all_task_finished", {});
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// process and update all the multitasks
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auto queue_iterator = queue_multitasks.begin();
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while (queue_iterator != queue_multitasks.end())
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{
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if (queue_iterator->subtasks_remaining.empty())
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{
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// all subtasks done == multitask is done
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task_multi current_multitask = *queue_iterator;
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callback_finish_multitask(current_multitask);
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// remove this multitask
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queue_iterator = queue_multitasks.erase(queue_iterator);
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}
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else
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{
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++queue_iterator;
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}
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}
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// all tasks in the current loop is finished
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callback_all_task_finished();
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}
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LOG_VERBOSE("wait for new task", {});
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// wait for new task
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{
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std::unique_lock<std::mutex> lock(mutex_tasks);
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if (queue_tasks.empty()) {
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condition_tasks.wait(lock, [&]{
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return !queue_tasks.empty();
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});
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}
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}
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}
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}
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//
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// functions to manage multitasks
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//
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// add a multitask by specifying the id of all subtask (subtask is a task_server)
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void add_multitask(int multitask_id, std::vector<int>& sub_ids)
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{
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std::lock_guard<std::mutex> lock(mutex_tasks);
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task_multi multi;
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multi.id = multitask_id;
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std::copy(sub_ids.begin(), sub_ids.end(), std::inserter(multi.subtasks_remaining, multi.subtasks_remaining.end()));
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queue_multitasks.push_back(multi);
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}
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// updatethe remaining subtasks, while appending results to multitask
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void update_multitask(int multitask_id, int subtask_id, task_result& result)
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{
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std::lock_guard<std::mutex> lock(mutex_tasks);
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for (auto& multitask : queue_multitasks)
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{
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if (multitask.id == multitask_id)
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{
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multitask.subtasks_remaining.erase(subtask_id);
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multitask.results.push_back(result);
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}
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}
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}
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};
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struct llama_server_response {
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typedef std::function<void(int, int, task_result&)> callback_multitask_t;
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callback_multitask_t callback_update_multitask;
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// for keeping track of all tasks waiting for the result
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std::set<int> waiting_task_ids;
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// the main result queue
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std::vector<task_result> queue_results;
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std::mutex mutex_results;
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std::condition_variable condition_results;
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void add_waiting_task_id(int task_id) {
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std::unique_lock<std::mutex> lock(mutex_results);
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waiting_task_ids.insert(task_id);
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}
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void remove_waiting_task_id(int task_id) {
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std::unique_lock<std::mutex> lock(mutex_results);
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waiting_task_ids.erase(task_id);
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}
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// This function blocks the thread until there is a response for this task_id
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task_result recv(int task_id) {
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while (true)
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{
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std::unique_lock<std::mutex> lock(mutex_results);
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condition_results.wait(lock, [&]{
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return !queue_results.empty();
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});
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LOG_VERBOSE("condition_results unblock", {});
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for (int i = 0; i < (int) queue_results.size(); i++)
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{
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if (queue_results[i].id == task_id)
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{
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assert(queue_results[i].multitask_id == -1);
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task_result res = queue_results[i];
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queue_results.erase(queue_results.begin() + i);
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return res;
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}
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}
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}
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// should never reach here
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}
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// Register the function to update multitask
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void on_multitask_update(callback_multitask_t callback) {
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callback_update_multitask = callback;
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}
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// Send a new result to a waiting task_id
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void send(task_result result) {
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std::unique_lock<std::mutex> lock(mutex_results);
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LOG_VERBOSE("send new result", {});
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for (auto& task_id : waiting_task_ids) {
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// LOG_TEE("waiting task id %i \n", task_id);
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// for now, tasks that have associated parent multitasks just get erased once multitask picks up the result
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if (result.multitask_id == task_id)
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{
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LOG_VERBOSE("callback_update_multitask", {});
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callback_update_multitask(task_id, result.id, result);
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continue;
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}
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if (result.id == task_id)
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{
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LOG_VERBOSE("queue_results.push_back", {});
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queue_results.push_back(result);
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condition_results.notify_one();
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return;
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}
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}
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}
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};
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//
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// base64 utils (TODO: move to common in the future)
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//
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static const std::string base64_chars =
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"ABCDEFGHIJKLMNOPQRSTUVWXYZ"
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"abcdefghijklmnopqrstuvwxyz"
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"0123456789+/";
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static inline bool is_base64(uint8_t c)
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{
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return (isalnum(c) || (c == '+') || (c == '/'));
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}
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static inline std::vector<uint8_t> base64_decode(const std::string & encoded_string)
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{
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int i = 0;
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int j = 0;
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int in_ = 0;
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int in_len = encoded_string.size();
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uint8_t char_array_4[4];
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uint8_t char_array_3[3];
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std::vector<uint8_t> ret;
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while (in_len-- && (encoded_string[in_] != '=') && is_base64(encoded_string[in_]))
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{
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char_array_4[i++] = encoded_string[in_]; in_++;
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if (i == 4)
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{
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for (i = 0; i <4; i++)
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{
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char_array_4[i] = base64_chars.find(char_array_4[i]);
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}
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char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
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char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
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char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
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for (i = 0; (i < 3); i++)
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{
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ret.push_back(char_array_3[i]);
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}
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i = 0;
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}
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}
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if (i)
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{
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for (j = i; j <4; j++)
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{
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char_array_4[j] = 0;
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}
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for (j = 0; j <4; j++)
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{
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char_array_4[j] = base64_chars.find(char_array_4[j]);
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}
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char_array_3[0] = ((char_array_4[0] ) << 2) + ((char_array_4[1] & 0x30) >> 4);
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char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
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char_array_3[2] = ((char_array_4[2] & 0x3) << 6) + char_array_4[3];
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for (j = 0; (j < i - 1); j++)
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{
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ret.push_back(char_array_3[j]);
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}
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}
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return ret;
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}
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//
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// random string / id
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//
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static std::string random_string()
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{
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static const std::string str("0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz");
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std::random_device rd;
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std::mt19937 generator(rd());
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std::string result(32, ' ');
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for (int i = 0; i < 32; ++i) {
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result[i] = str[generator() % str.size()];
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}
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return result;
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}
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static std::string gen_chatcmplid()
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{
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std::stringstream chatcmplid;
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chatcmplid << "chatcmpl-" << random_string();
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return chatcmplid.str();
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} |