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https://github.com/ggerganov/llama.cpp.git
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server : minor style
This commit is contained in:
Georgi Gerganov
parent
a4d69d8b81
commit
dd1af2ed35
@ -403,6 +403,7 @@ struct llama_client_slot
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sent_count = 0;
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sent_token_probs_index = 0;
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infill = false;
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generated_token_probs.clear();
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for (slot_image &img : images)
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@ -882,7 +883,8 @@ struct llama_server_context
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// wait until system prompt load
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system_need_update = true;
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while (system_need_update) {
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while (system_need_update)
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{
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std::this_thread::sleep_for(std::chrono::milliseconds(5));
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}
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// system prompt loaded, continue
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@ -997,26 +999,31 @@ struct llama_server_context
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const std::string str_test = slot.generated_text.substr(pos);
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bool is_stop_full = false;
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size_t stop_pos = find_stopping_strings(str_test, token_str.size(), STOP_FULL, slot);
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if (stop_pos != std::string::npos) {
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if (stop_pos != std::string::npos)
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{
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is_stop_full = true;
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slot.generated_text.erase(
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slot.generated_text.begin() + pos + stop_pos,
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slot.generated_text.end());
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pos = std::min(slot.sent_count, slot.generated_text.size());
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} else {
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}
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else
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{
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is_stop_full = false;
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stop_pos = find_stopping_strings(str_test, token_str.size(), STOP_PARTIAL, slot);
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}
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// check if there is any token to predict
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if(stop_pos == std::string::npos || (!slot.has_next_token && !is_stop_full && stop_pos > 0)) {
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if (stop_pos == std::string::npos || (!slot.has_next_token && !is_stop_full && stop_pos > 0))
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{
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// no send the stop word in the response
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result.text_to_send = slot.generated_text.substr(pos, std::string::npos);
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slot.sent_count += result.text_to_send.size();
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// add the token to slot queue and cache
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}
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slot.add_token_string(result);
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if (slot.params.stream) {
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if (slot.params.stream)
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{
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send_partial_response(slot, result);
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}
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}
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@ -1051,6 +1058,7 @@ struct llama_server_context
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{"stopped_limit", slot.stopped_limit},
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{"stopping_word", slot.stopping_word},
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});
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return slot.has_next_token; // continue
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}
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@ -1089,7 +1097,8 @@ struct llama_server_context
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return slot.images.size() > 0;
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}
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void send_error(int id, std::string error) {
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void send_error(int id, std::string error)
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{
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std::lock_guard<std::mutex> lock(mutex_results);
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task_result res;
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res.id = id;
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@ -1098,11 +1107,13 @@ struct llama_server_context
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queue_results.push_back(res);
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}
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json get_model_props() {
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json get_model_props()
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{
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return get_formated_generation(slots[0]);
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}
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json get_formated_generation(llama_client_slot &slot) {
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json get_formated_generation(llama_client_slot &slot)
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{
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const auto eos_bias = slot.sparams.logit_bias.find(llama_token_eos(ctx));
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const bool ignore_eos = eos_bias != slot.sparams.logit_bias.end() &&
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eos_bias->second < 0.0f && std::isinf(eos_bias->second);
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@ -1134,12 +1145,14 @@ struct llama_server_context
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};
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}
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void send_partial_response(llama_client_slot & slot, completion_token_output tkn) {
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void send_partial_response(llama_client_slot &slot, completion_token_output tkn)
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{
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std::lock_guard<std::mutex> lock(mutex_results);
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task_result res;
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res.id = slot.task_id;
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res.error = false;
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res.stop = false;
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res.result_json = json
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{
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{"content", tkn.text_to_send},
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@ -1147,6 +1160,7 @@ struct llama_server_context
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{"slot_id", slot.id},
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{"multimodal", multimodal}
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};
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if (slot.sparams.n_probs > 0)
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{
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std::vector<completion_token_output> probs_output = {};
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@ -1160,15 +1174,18 @@ struct llama_server_context
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slot.sent_token_probs_index = probs_stop_pos;
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res.result_json["completion_probabilities"] = probs_vector_to_json(ctx, probs_output);
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}
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queue_results.push_back(res);
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}
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void send_final_response(llama_client_slot & slot) {
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void send_final_response(llama_client_slot &slot)
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{
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std::lock_guard<std::mutex> lock(mutex_results);
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task_result res;
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res.id = slot.task_id;
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res.error = false;
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res.stop = true;
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res.result_json = json
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{
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{"content", !slot.params.stream ? slot.generated_text : ""},
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@ -1191,20 +1208,25 @@ struct llama_server_context
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if (slot.sparams.n_probs > 0)
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{
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std::vector<completion_token_output> probs = {};
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if(!slot.params.stream && slot.stopped_word) {
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if (!slot.params.stream && slot.stopped_word)
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{
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const std::vector<llama_token> stop_word_toks = llama_tokenize(ctx, slot.stopping_word, false);
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probs = std::vector<completion_token_output>(slot.generated_token_probs.begin(), slot.generated_token_probs.end() - stop_word_toks.size());
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} else {
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}
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else
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{
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probs = std::vector<completion_token_output>(
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slot.generated_token_probs.begin(),
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slot.generated_token_probs.begin() + slot.sent_token_probs_index);
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}
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res.result_json["completion_probabilities"] = probs_vector_to_json(ctx, probs);
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}
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queue_results.push_back(res);
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}
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void send_embedding(llama_client_slot & slot) {
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void send_embedding(llama_client_slot &slot)
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{
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std::lock_guard<std::mutex> lock(mutex_results);
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task_result res;
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res.id = slot.task_id;
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@ -1234,7 +1256,8 @@ struct llama_server_context
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queue_results.push_back(res);
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}
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int request_completion(json data, bool infill) {
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int request_completion(json data, bool infill)
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{
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std::lock_guard<std::mutex> lock(mutex_tasks);
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task_server task;
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task.id = id_gen++;
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@ -1245,17 +1268,22 @@ struct llama_server_context
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return task.id;
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}
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task_result next_result(int task_id) {
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while (true) {
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task_result next_result(int task_id)
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{
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while (true)
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{
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std::this_thread::sleep_for(std::chrono::microseconds(5));
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std::lock_guard<std::mutex> lock(mutex_results);
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if (queue_results.empty()) {
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if (queue_results.empty())
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{
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continue;
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}
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for (int i = 0; i < (int) queue_results.size(); i++) {
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if (queue_results[i].id == task_id) {
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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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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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@ -1335,7 +1363,8 @@ struct llama_server_context
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return true;
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}
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void request_cancel(int task_id) {
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void request_cancel(int task_id)
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{
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std::lock_guard<std::mutex> lock(mutex_tasks);
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task_server task;
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task.id = id_gen++;
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@ -1344,9 +1373,11 @@ struct llama_server_context
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queue_tasks.push_back(task);
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}
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void process_tasks() {
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void process_tasks()
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{
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std::lock_guard<std::mutex> lock(mutex_tasks);
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while (!queue_tasks.empty()) {
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while (!queue_tasks.empty())
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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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switch (task.type)
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@ -1379,8 +1410,10 @@ struct llama_server_context
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}
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} break;
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case CANCEL_TASK: { // release slot linked with the task id
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for (auto & slot : slots) {
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if (slot.task_id == task.target_id) {
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for (auto & slot : slots)
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{
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if (slot.task_id == task.target_id)
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{
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slot.release();
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break;
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}
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@ -2006,7 +2039,8 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
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else if (arg == "--embedding")
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{
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params.embedding = true;
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} else if (arg == "-cb" || arg == "--cont-batching")
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}
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else if (arg == "-cb" || arg == "--cont-batching")
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{
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params.cont_batching = true;
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}
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@ -2047,7 +2081,8 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
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);
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llama.process_system_prompt_data(json::parse(systm_content));
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}
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else if(arg == "--mmproj") {
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else if(arg == "--mmproj")
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{
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if (++i >= argc)
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{
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invalid_param = true;
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@ -2163,6 +2198,7 @@ int main(int argc, char **argv)
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LOG_INFO("build info", {{"build", BUILD_NUMBER},
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{"commit", BUILD_COMMIT}});
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LOG_INFO("system info", {
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{"n_threads", params.n_threads},
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{"n_threads_batch", params.n_threads_batch},
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@ -2239,10 +2275,12 @@ int main(int argc, char **argv)
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return;
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}
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} else {
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const auto chunked_content_provider = [task_id, &llama](size_t, httplib::DataSink & sink) {
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while(true) {
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const auto chunked_content_provider = [task_id, &llama](size_t, httplib::DataSink & sink)
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{
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while (true)
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{
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task_result result = llama.next_result(task_id);
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if(!result.error) {
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if (!result.error) {
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const std::string str =
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"data: " +
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result.result_json.dump(-1, ' ', false, json::error_handler_t::replace) +
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@ -2264,10 +2302,13 @@ int main(int argc, char **argv)
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sink.done();
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return true;
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};
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auto on_complete = [task_id, &llama] (bool) {
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auto on_complete = [task_id, &llama] (bool)
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{
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// cancel
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llama.request_cancel(task_id);
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};
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res.set_chunked_content_provider("text/event-stream", chunked_content_provider, on_complete);
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}
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});
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@ -2279,7 +2320,8 @@ int main(int argc, char **argv)
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if (!json_value(data, "stream", false)) {
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std::string completion_text;
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task_result result = llama.next_result(task_id);
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if(!result.error && result.stop) {
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if (!result.error && result.stop)
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{
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res.set_content(result.result_json.dump(-1, ' ', false, json::error_handler_t::replace), "application/json");
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}
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else
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@ -2290,9 +2332,10 @@ int main(int argc, char **argv)
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}
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} else {
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const auto chunked_content_provider = [task_id, &llama](size_t, httplib::DataSink & sink) {
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while(true) {
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while (true)
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{
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task_result result = llama.next_result(task_id);
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if(!result.error) {
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if (!result.error) {
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const std::string str =
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"data: " +
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result.result_json.dump(-1, ' ', false, json::error_handler_t::replace) +
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@ -2304,20 +2347,28 @@ int main(int argc, char **argv)
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{
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return false;
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}
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if(result.stop) {
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break;
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}
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} else {
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if (result.stop)
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{
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break;
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}
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}
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else
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{
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break;
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}
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}
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sink.done();
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return true;
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};
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auto on_complete = [task_id, &llama] (bool) {
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auto on_complete = [task_id, &llama] (bool)
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{
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// cancel
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llama.request_cancel(task_id);
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};
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res.set_chunked_content_provider("text/event-stream", chunked_content_provider, on_complete);
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}
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});
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