Compare commits

..

4 Commits

Author SHA1 Message Date
Jared Van Bortel
5b74310e6e build : enable libstdc++ assertions for debug builds 2023-11-30 18:18:24 -05:00
Ziad Ben Hadj-Alouane
1d144112c0 server : add --log-disable to disable logging to file (#4260)
* * add --log-disable to disable logging to file in the server example

* * typo fix
2023-12-01 00:25:49 +02:00
Ziad Ben Hadj-Alouane
f43f09366d server : add single-client multi-prompt support (#4232)
* * add multiprompt support

* * cleanup

* * more cleanup

* * remove atomicity of id_gen, and change lock_guard to unique_lock on completion requests

* * remove all references to mutex_multitasks

* Update examples/server/server.cpp

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* Update examples/server/server.cpp

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* Update examples/server/server.cpp

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* Update examples/server/server.cpp

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* * change to set

---------

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
2023-12-01 00:25:04 +02:00
WillCorticesAI
d2809a3ba2 make : fix Apple clang determination bug (#4272)
Co-authored-by: Will Findley <findley@gmail.com>
2023-12-01 00:23:44 +02:00
3 changed files with 144 additions and 12 deletions

View File

@@ -116,6 +116,11 @@ set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads REQUIRED)
include(CheckCXXCompilerFlag)
# enable libstdc++ assertions for debug builds
if (CMAKE_SYSTEM_NAME MATCHES "Linux")
add_compile_definitions($<$<CONFIG:Debug>:_GLIBCXX_ASSERTIONS>)
endif()
if (NOT MSVC)
if (LLAMA_SANITIZE_THREAD)
add_compile_options(-fsanitize=thread)

View File

@@ -30,7 +30,7 @@ ifeq '' '$(findstring clang,$(shell $(CC) --version))'
CC_VER := $(shell $(CC) -dumpfullversion -dumpversion | awk -F. '{ printf("%02d%02d%02d", $$1, $$2, $$3) }')
else
CC_IS_CLANG=1
ifeq '' '$(findstring Apple LLVM,$(shell $(CC) --version))'
ifeq '' '$(findstring Apple,$(shell $(CC) --version))'
CC_IS_LLVM_CLANG=1
else
CC_IS_APPLE_CLANG=1
@@ -174,6 +174,10 @@ ifdef LLAMA_DEBUG
MK_CFLAGS += -O0 -g
MK_CXXFLAGS += -O0 -g
MK_LDFLAGS += -g
ifeq ($(UNAME_S),Linux)
MK_CXXFLAGS += -Wp,-D_GLIBCXX_ASSERTIONS
endif
else
MK_CPPFLAGS += -DNDEBUG
endif

View File

@@ -155,15 +155,23 @@ struct task_server {
json data;
bool infill_mode = false;
bool embedding_mode = false;
int multitask_id = -1;
};
struct task_result {
int id;
int multitask_id = -1;
bool stop;
bool error;
json result_json;
};
struct task_multi {
int id;
std::set<int> subtasks_remaining{};
std::vector<task_result> results{};
};
// TODO: can become bool if we can't find use of more states
enum slot_state
{
@@ -406,6 +414,9 @@ struct llama_client_slot
double t_prompt_processing; // ms
double t_token_generation; // ms
// multitasks
int multitask_id = -1;
void reset() {
num_prompt_tokens = 0;
generated_text = "";
@@ -529,7 +540,8 @@ struct llama_server_context
std::vector<task_server> queue_tasks;
std::vector<task_result> queue_results;
std::mutex mutex_tasks;
std::vector<task_multi> queue_multitasks;
std::mutex mutex_tasks; // also guards id_gen, and queue_multitasks
std::mutex mutex_results;
~llama_server_context()
@@ -1112,17 +1124,40 @@ struct llama_server_context
return slot.images.size() > 0;
}
void send_error(int id, std::string error)
void send_error(task_server& task, std::string error)
{
std::lock_guard<std::mutex> lock(mutex_results);
task_result res;
res.id = id;
res.id = task.id;
res.multitask_id = task.multitask_id;
res.stop = false;
res.error = true;
res.result_json = { { "content", error } };
queue_results.push_back(res);
}
void add_multi_task(int id, std::vector<int>& sub_ids)
{
std::lock_guard<std::mutex> lock(mutex_tasks);
task_multi multi;
multi.id = id;
std::copy(sub_ids.begin(), sub_ids.end(), std::inserter(multi.subtasks_remaining, multi.subtasks_remaining.end()));
queue_multitasks.push_back(multi);
}
void update_multi_task(int multitask_id, int subtask_id, task_result& result)
{
std::lock_guard<std::mutex> lock(mutex_tasks);
for (auto& multitask : queue_multitasks)
{
if (multitask.id == multitask_id)
{
multitask.subtasks_remaining.erase(subtask_id);
multitask.results.push_back(result);
}
}
}
json get_model_props()
{
return get_formated_generation(slots[0]);
@@ -1167,6 +1202,7 @@ struct llama_server_context
std::lock_guard<std::mutex> lock(mutex_results);
task_result res;
res.id = slot.task_id;
res.multitask_id = slot.multitask_id;
res.error = false;
res.stop = false;
@@ -1206,6 +1242,7 @@ struct llama_server_context
std::lock_guard<std::mutex> lock(mutex_results);
task_result res;
res.id = slot.task_id;
res.multitask_id = slot.multitask_id;
res.error = false;
res.stop = true;
@@ -1251,6 +1288,12 @@ struct llama_server_context
res.result_json["model"] = slot.oaicompat_model;
}
// parent multitask, if any, needs to be updated
if (slot.multitask_id != -1)
{
update_multi_task(slot.multitask_id, slot.task_id, res);
}
queue_results.push_back(res);
}
@@ -1259,6 +1302,7 @@ struct llama_server_context
std::lock_guard<std::mutex> lock(mutex_results);
task_result res;
res.id = slot.task_id;
res.multitask_id = slot.multitask_id;
res.error = false;
res.stop = true;
@@ -1285,9 +1329,9 @@ struct llama_server_context
queue_results.push_back(res);
}
int request_completion(json data, bool infill, bool embedding)
int request_completion(json data, bool infill, bool embedding, int multitask_id)
{
std::lock_guard<std::mutex> lock(mutex_tasks);
std::unique_lock<std::mutex> lock(mutex_tasks);
task_server task;
task.id = id_gen++;
task.target_id = 0;
@@ -1295,6 +1339,16 @@ struct llama_server_context
task.infill_mode = infill;
task.embedding_mode = embedding;
task.type = COMPLETION_TASK;
task.multitask_id = multitask_id;
// when a completion task's prompt array is not a singleton, we split it into multiple requests
if (task.data.at("prompt").size() > 1)
{
lock.unlock(); // entering new func scope
return split_multiprompt_task(task);
}
// otherwise, it's a single-prompt task, we actually queue it
queue_tasks.push_back(task);
return task.id;
}
@@ -1313,8 +1367,17 @@ struct llama_server_context
for (int i = 0; i < (int) queue_results.size(); i++)
{
// for now, tasks that have associated parent multitasks just get erased once multitask picks up the result
if (queue_results[i].multitask_id == task_id)
{
update_multi_task(task_id, queue_results[i].id, queue_results[i]);
queue_results.erase(queue_results.begin() + i);
continue;
}
if (queue_results[i].id == task_id)
{
assert(queue_results[i].multitask_id == -1);
task_result res = queue_results[i];
queue_results.erase(queue_results.begin() + i);
return res;
@@ -1404,6 +1467,27 @@ struct llama_server_context
queue_tasks.push_back(task);
}
int split_multiprompt_task(task_server& multiprompt_task)
{
auto prompt_count = multiprompt_task.data.at("prompt").size();
assert(prompt_count > 1);
int multitask_id = id_gen++;
std::vector<int> subtask_ids(prompt_count);
for (int i = 0; i < prompt_count; i++)
{
json subtask_data = multiprompt_task.data;
subtask_data["prompt"] = subtask_data["prompt"][i];
// subtasks inherit everything else (infill mode, embedding mode, etc.)
subtask_ids[i] = request_completion(subtask_data, multiprompt_task.infill_mode, multiprompt_task.embedding_mode, multitask_id);
}
// queue up the multitask so we can track its subtask progression
add_multi_task(multitask_id, subtask_ids);
return multitask_id;
}
void process_tasks()
{
std::lock_guard<std::mutex> lock(mutex_tasks);
@@ -1419,7 +1503,7 @@ struct llama_server_context
{
LOG_TEE("slot unavailable\n");
// send error result
send_error(task.id, "slot unavailable");
send_error(task, "slot unavailable");
return;
}
@@ -1433,11 +1517,12 @@ struct llama_server_context
slot->infill = task.infill_mode;
slot->embedding = task.embedding_mode;
slot->task_id = task.id;
slot->multitask_id = task.multitask_id;
if (!launch_slot_with_data(slot, task.data))
{
// send error result
send_error(task.id, "internal_error");
send_error(task, "internal_error");
break;
}
} break;
@@ -1453,6 +1538,38 @@ struct llama_server_context
} break;
}
}
// remove finished multitasks from the queue of multitasks, and add the corresponding result to the result queue
auto queue_iterator = queue_multitasks.begin();
while (queue_iterator != queue_multitasks.end())
{
if (queue_iterator->subtasks_remaining.empty())
{
// all subtasks done == multitask is done
task_result aggregate_result;
aggregate_result.id = queue_iterator->id;
aggregate_result.stop = true;
aggregate_result.error = false;
// collect json results into one json result
std::vector<json> result_jsons;
for (auto& subres : queue_iterator->results)
{
result_jsons.push_back(subres.result_json);
aggregate_result.error = aggregate_result.error && subres.error;
}
aggregate_result.result_json = json{ "results", result_jsons };
std::lock_guard<std::mutex> lock(mutex_results);
queue_results.push_back(aggregate_result);
queue_iterator = queue_multitasks.erase(queue_iterator);
}
else
{
++queue_iterator;
}
}
}
bool update_slots() {
@@ -1844,6 +1961,7 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
printf(" -spf FNAME, --system-prompt-file FNAME\n");
printf(" Set a file to load a system prompt (initial prompt of all slots), this is useful for chat applications.\n");
printf(" --mmproj MMPROJ_FILE path to a multimodal projector file for LLaVA.\n");
printf(" --log-disable disables logging to a file.\n");
printf("\n");
}
@@ -2198,6 +2316,11 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
}
params.mmproj = argv[i];
}
else if (arg == "--log-disable")
{
log_set_target(stdout);
LOG_INFO("logging to file is disabled.", {});
}
else
{
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
@@ -2596,7 +2719,7 @@ int main(int argc, char **argv)
svr.Post("/completion", [&llama](const httplib::Request &req, httplib::Response &res)
{
json data = json::parse(req.body);
const int task_id = llama.request_completion(data, false, false);
const int task_id = llama.request_completion(data, false, false, -1);
if (!json_value(data, "stream", false)) {
std::string completion_text;
task_result result = llama.next_result(task_id);
@@ -2685,7 +2808,7 @@ int main(int argc, char **argv)
{
json data = oaicompat_completion_params_parse(json::parse(req.body));
const int task_id = llama.request_completion(data, false, false);
const int task_id = llama.request_completion(data, false, false, -1);
if (!json_value(data, "stream", false)) {
std::string completion_text;
@@ -2754,7 +2877,7 @@ int main(int argc, char **argv)
svr.Post("/infill", [&llama](const httplib::Request &req, httplib::Response &res)
{
json data = json::parse(req.body);
const int task_id = llama.request_completion(data, true, false);
const int task_id = llama.request_completion(data, true, false, -1);
if (!json_value(data, "stream", false)) {
std::string completion_text;
task_result result = llama.next_result(task_id);
@@ -2858,7 +2981,7 @@ int main(int argc, char **argv)
{
prompt = "";
}
const int task_id = llama.request_completion({ {"prompt", prompt}, { "n_predict", 0} }, false, true);
const int task_id = llama.request_completion({ {"prompt", prompt}, { "n_predict", 0} }, false, true, -1);
task_result result = llama.next_result(task_id);
return res.set_content(result.result_json.dump(), "application/json");
});