Merge pull request #4380 from ollama/mxyng/tokenize

use tokenize/detokenize

llm/ext_server/server.cpp

@@ -140,7 +140,6 @@ struct server_slot {
     std::vector<llama_token> cache_tokens;
     std::vector<completion_token_output> generated_token_probs;
 
-    bool infill = false;
     bool embedding = false;
     bool has_next_token = true;
     bool truncated = false;
@@ -187,7 +186,6 @@ struct server_slot {
         n_past                 = 0;
         n_sent_text            = 0;
         n_sent_token_probs     = 0;
-        infill                 = false;
         ga_i                   = 0;
         n_past_se              = 0;
 
@@ -600,16 +598,6 @@ struct llama_server_context
             slot->params.n_predict = slot->n_predict;
         }
 
-        // infill
-        if (data.count("input_prefix") != 0)
-        {
-            slot->params.input_prefix = data["input_prefix"];
-        }
-        else
-        {
-            slot->params.input_prefix = "";
-        }
-
         if (data.count("input_suffix") != 0)
         {
             slot->params.input_suffix = data["input_suffix"];
@@ -897,15 +885,6 @@ struct llama_server_context
         system_need_update = true;
     }
 
-    void system_prompt_process(const json &sys_props) {
-        system_prompt  = sys_props.value("prompt", "");
-        name_user      = sys_props.value("anti_prompt", "");
-        name_assistant = sys_props.value("assistant_name", "");
-
-
-        system_prompt_notify();
-    }
-
     static size_t find_stopping_strings(const std::string &text, const size_t last_token_size,
                                         const stop_type type, server_slot &slot)
     {
@@ -1263,13 +1242,12 @@ struct llama_server_context
         queue_results.send(res);
     }
 
-    void request_completion(int task_id, json data, bool infill, bool embedding, int multitask_id)
+    void request_completion(int task_id, json data, bool embedding, int multitask_id)
     {
         task_server task;
         task.id = task_id;
         task.target_id = 0;
         task.data = std::move(data);
-        task.infill_mode = infill;
         task.embedding_mode = embedding;
         task.type = TASK_TYPE_COMPLETION;
         task.multitask_id = multitask_id;
@@ -1415,8 +1393,8 @@ struct llama_server_context
             json subtask_data = multiprompt_task.data;
             subtask_data["prompt"] = subtask_data["prompt"][i];
 
-            // subtasks inherit everything else (infill mode, embedding mode, etc.)
-            request_completion(subtask_ids[i], subtask_data, multiprompt_task.infill_mode, multiprompt_task.embedding_mode, multitask_id);
+            // subtasks inherit everything else (embedding mode, etc.)
+            request_completion(subtask_ids[i], subtask_data, multiprompt_task.embedding_mode, multitask_id);
         }
     }
 
@@ -1434,26 +1412,8 @@ struct llama_server_context
                     break;
                 }
 
-                if (task.data.contains("system_prompt"))
-                {
-                    if (!all_slots_are_idle) {
-                        send_error(task, "system prompt can only be updated when all slots are idle");
-                        break;
-                    }
-                    system_prompt_process(task.data["system_prompt"]);
-
-                    // reset cache_tokens for all slots
-                    for (server_slot &slot : slots)
-                    {
-                        slot.cache_tokens.clear();
-                        slot.n_past    = 0;
-                        slot.n_past_se = 0;
-                    }
-                }
-
                 slot->reset();
 
-                slot->infill       = task.infill_mode;
                 slot->embedding    = task.embedding_mode;
                 slot->task_id      = task.id;
                 slot->multitask_id = task.multitask_id;
@@ -1679,8 +1639,7 @@ struct llama_server_context
                 const bool has_prompt = slot.prompt.is_array() || (slot.prompt.is_string() && !slot.prompt.get<std::string>().empty()) || !slot.images.empty();
 
                 // empty prompt passed -> release the slot and send empty response
-                // note: infill mode allows empty prompt
-                if (slot.state == IDLE && slot.command == LOAD_PROMPT && !has_prompt && !slot.infill)
+                if (slot.state == IDLE && slot.command == LOAD_PROMPT && !has_prompt)
                 {
                     slot.release();
                     slot.print_timings();
@@ -1697,33 +1656,7 @@ struct llama_server_context
                     slot.t_start_process_prompt = ggml_time_us();
                     slot.t_start_genereration = 0;
 
-                    if (slot.infill)
-                    {
-                        bool suff_rm_leading_spc = true;
-                        if (params.input_suffix.find_first_of(' ') == 0 && params.input_suffix.size() > 1)
-                        {
-                            params.input_suffix.erase(0, 1);
-                            suff_rm_leading_spc = false;
-                        }
-                        auto prefix_tokens = tokenize(slot.params.input_prefix, false);
-                        auto suffix_tokens = tokenize(slot.params.input_suffix, false);
-
-                        const int space_token = 29871; // TODO: this should not be hardcoded
-                        if (suff_rm_leading_spc && !suffix_tokens.empty() && suffix_tokens[0] == space_token) {
-                            suffix_tokens.erase(suffix_tokens.begin());
-                        }
-
-                        prefix_tokens.insert(prefix_tokens.begin(), llama_token_prefix(model));
-                        prefix_tokens.insert(prefix_tokens.begin(), llama_token_bos(model)); // always add BOS
-                        prefix_tokens.insert(prefix_tokens.end(),   llama_token_suffix(model));
-                        prefix_tokens.insert(prefix_tokens.end(),   suffix_tokens.begin(), suffix_tokens.end());
-                        prefix_tokens.push_back(llama_token_middle(model));
-                        prompt_tokens = prefix_tokens;
-                    }
-                    else
-                    {
                     prompt_tokens = tokenize(slot.prompt, system_prompt.empty() && add_bos_token);  // add BOS if there isn't system prompt
-                    }
 
                     slot.n_prompt_tokens = prompt_tokens.size();
 
@@ -2130,8 +2063,7 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
     printf("\n");
 }
 
-static void server_params_parse(int argc, char **argv, server_params &sparams,
-                                gpt_params &params, llama_server_context& llama)
+static void server_params_parse(int argc, char **argv, server_params &sparams, gpt_params &params)
 {
     gpt_params default_params;
     server_params default_sparams;
@@ -2546,27 +2478,6 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
             }
             params.n_predict = std::stoi(argv[i]);
         }
-        else if (arg == "-spf" || arg == "--system-prompt-file")
-        {
-            if (++i >= argc)
-            {
-                invalid_param = true;
-                break;
-            }
-            std::ifstream file(argv[i]);
-            if (!file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-            std::string systm_content;
-            std::copy(
-                std::istreambuf_iterator<char>(file),
-                std::istreambuf_iterator<char>(),
-                std::back_inserter(systm_content)
-            );
-            llama.system_prompt_process(json::parse(systm_content));
-        }
         else if (arg == "-ctk" || arg == "--cache-type-k") {
             params.cache_type_k = argv[++i];
         }
@@ -2714,21 +2625,6 @@ static json format_partial_response(
     return res;
 }
 
-static json format_tokenizer_response(const std::vector<llama_token> &tokens)
-{
-    return json {
-        {"tokens", tokens}
-    };
-}
-
-static json format_detokenized_response(std::string content)
-{
-    return json {
-        {"content", content}
-    };
-}
-
-
 static void log_server_request(const httplib::Request &req, const httplib::Response &res)
 {
     // skip GH copilot requests when using default port
@@ -2818,7 +2714,7 @@ int main(int argc, char **argv) {
     // struct that contains llama context and inference
     llama_server_context llama;
 
-    server_params_parse(argc, argv, sparams, params, llama);
+    server_params_parse(argc, argv, sparams, params);
 
     if (params.model_alias == "unknown")
     {
@@ -3150,7 +3046,7 @@ int main(int argc, char **argv) {
                 json data = json::parse(req.body);
                 const int task_id = llama.queue_tasks.get_new_id();
                 llama.queue_results.add_waiting_task_id(task_id);
-                llama.request_completion(task_id, data, false, false, -1);
+                llama.request_completion(task_id, data, false, -1);
                 if (!json_value(data, "stream", false)) {
                     std::string completion_text;
                     task_result result = llama.queue_results.recv(task_id);
@@ -3218,34 +3114,6 @@ int main(int argc, char **argv) {
                 }
             });
 
-    svr.Post("/tokenize", [&llama](const httplib::Request &req, httplib::Response &res)
-            {
-                res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
-                const json body = json::parse(req.body);
-                std::vector<llama_token> tokens;
-                if (body.count("content") != 0)
-                {
-                    tokens = llama.tokenize(body["content"], false);
-                }
-                const json data = format_tokenizer_response(tokens);
-                return res.set_content(data.dump(), "application/json; charset=utf-8");
-            });
-
-    svr.Post("/detokenize", [&llama](const httplib::Request &req, httplib::Response &res)
-            {
-                res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
-                const json body = json::parse(req.body);
-                std::string content;
-                if (body.count("tokens") != 0)
-                {
-                    const std::vector<llama_token> tokens = body["tokens"];
-                    content = tokens_to_str(llama.ctx, tokens.cbegin(), tokens.cend());
-                }
-
-                const json data = format_detokenized_response(content);
-                return res.set_content(data.dump(), "application/json; charset=utf-8");
-            });
-
     svr.Post("/embedding", [&llama](const httplib::Request &req, httplib::Response &res)
             {
                 res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
@@ -3272,7 +3140,7 @@ int main(int argc, char **argv) {
                 // create and queue the task
                 const int task_id = llama.queue_tasks.get_new_id();
                 llama.queue_results.add_waiting_task_id(task_id);
-                llama.request_completion(task_id, { {"prompt", prompt}, { "n_predict", 0}, {"image_data", image_data} }, false, true, -1);
+                llama.request_completion(task_id, { {"prompt", prompt}, { "n_predict", 0}, {"image_data", image_data} }, true, -1);
 
                 // get the result
                 task_result result = llama.queue_results.recv(task_id);

llm/llm.go

@@ -12,6 +12,7 @@ package llm
 import "C"
 import (
 	"fmt"
+	"strings"
 	"unsafe"
 )
 
@@ -37,3 +38,47 @@ func Quantize(infile, outfile string, ftype fileType) error {
 
 	return nil
 }
+
+type llamaModel struct {
+	m *C.struct_llama_model
+}
+
+func newLlamaModel(p string) *llamaModel {
+	cs := C.CString(p)
+	defer C.free(unsafe.Pointer(cs))
+
+	return &llamaModel{
+		C.llama_load_model_from_file(
+			cs,
+			C.llama_model_default_params(),
+		),
+	}
+}
+
+func (llm *llamaModel) Close() {
+	C.llama_free_model(llm.m)
+}
+
+func (llm *llamaModel) Tokenize(s string) []int {
+	cs := C.CString(s)
+	defer C.free(unsafe.Pointer(cs))
+
+	tokens := make([]int, len(s)+2)
+	if n := C.llama_tokenize(llm.m, cs, C.int(len(s)), (*C.llama_token)(unsafe.Pointer(&tokens[0])), C.int(len(s)+2), false, true); n > 0 {
+		return tokens[:n]
+	}
+
+	return nil
+}
+
+func (llm *llamaModel) Detokenize(i32s []int) string {
+	var sb strings.Builder
+	for _, i32 := range i32s {
+		c := make([]byte, 512)
+		if n := C.llama_token_to_piece(llm.m, C.llama_token(i32), (*C.char)(unsafe.Pointer(&c[0])), C.int(len(c)), false); n > 0 {
+			sb.WriteString(unsafe.String(&c[0], n))
+		}
+	}
+
+	return sb.String()
+}

llm/server.go

@@ -57,6 +57,8 @@ type llmServer struct {
 	loadDuration   time.Duration // Record how long it took the model to load
 	loadProgress   float32
 
+	*llamaModel
+
 	sem *semaphore.Weighted
 }
 
@@ -306,6 +308,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 			totalLayers:    ggml.KV().BlockCount() + 1,
 			gpuCount:       gpuCount,
 			done:           make(chan error, 1),
+			llamaModel:     newLlamaModel(model),
 		}
 
 		s.cmd.Env = os.Environ()
@@ -843,12 +846,12 @@ func (s *llmServer) Embedding(ctx context.Context, prompt string) ([]float64, er
 		return nil, fmt.Errorf("unexpected server status: %s", status.ToString())
 	}
 
-	data, err := json.Marshal(TokenizeRequest{Content: prompt})
-	if err != nil {
+	var b bytes.Buffer
+	if err := json.NewEncoder(&b).Encode(EmbeddingRequest{Content: prompt}); err != nil {
 		return nil, fmt.Errorf("error marshaling embed data: %w", err)
 	}
 
-	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/embedding", s.port), bytes.NewBuffer(data))
+	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/embedding", s.port), &b)
 	if err != nil {
 		return nil, fmt.Errorf("error creating embed request: %w", err)
 	}
@@ -878,108 +881,12 @@ func (s *llmServer) Embedding(ctx context.Context, prompt string) ([]float64, er
 	return embedding.Embedding, nil
 }
 
-type TokenizeRequest struct {
-	Content string `json:"content"`
-}
-
-type TokenizeResponse struct {
-	Tokens []int `json:"tokens"`
-}
-
 func (s *llmServer) Tokenize(ctx context.Context, content string) ([]int, error) {
-	// Make sure the server is ready
-	status, err := s.getServerStatus(ctx)
-	if err != nil {
-		return nil, err
-	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvailable {
-		return nil, fmt.Errorf("unexpected server status: %s", status.ToString())
-	}
-
-	data, err := json.Marshal(TokenizeRequest{Content: content})
-	if err != nil {
-		return nil, fmt.Errorf("marshaling encode data: %w", err)
-	}
-
-	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/tokenize", s.port), bytes.NewBuffer(data))
-	if err != nil {
-		return nil, fmt.Errorf("encode request: %w", err)
-	}
-	req.Header.Set("Content-Type", "application/json")
-
-	resp, err := http.DefaultClient.Do(req)
-	if err != nil {
-		return nil, fmt.Errorf("do encode request: %w", err)
-	}
-	defer resp.Body.Close()
-
-	body, err := io.ReadAll(resp.Body)
-	if err != nil {
-		return nil, fmt.Errorf("read encode request: %w", err)
-	}
-
-	if resp.StatusCode >= 400 {
-		log.Printf("llm encode error: %s", body)
-		return nil, fmt.Errorf("%s", body)
-	}
-
-	var encoded TokenizeResponse
-	if err := json.Unmarshal(body, &encoded); err != nil {
-		return nil, fmt.Errorf("unmarshal encode response: %w", err)
-	}
-
-	return encoded.Tokens, nil
-}
-
-type DetokenizeRequest struct {
-	Tokens []int `json:"tokens"`
-}
-
-type DetokenizeResponse struct {
-	Content string `json:"content"`
+	return s.llamaModel.Tokenize(content), nil
 }
 
 func (s *llmServer) Detokenize(ctx context.Context, tokens []int) (string, error) {
-	// Make sure the server is ready
-	status, err := s.getServerStatus(ctx)
-	if err != nil {
-		return "", err
-	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvailable {
-		return "", fmt.Errorf("unexpected server status: %s", status.ToString())
-	}
-
-	data, err := json.Marshal(DetokenizeRequest{Tokens: tokens})
-	if err != nil {
-		return "", fmt.Errorf("marshaling decode data: %w", err)
-	}
-
-	req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/detokenize", s.port), bytes.NewBuffer(data))
-	if err != nil {
-		return "", fmt.Errorf("decode request: %w", err)
-	}
-	req.Header.Set("Content-Type", "application/json")
-
-	resp, err := http.DefaultClient.Do(req)
-	if err != nil {
-		return "", fmt.Errorf("do decode request: %w", err)
-	}
-	defer resp.Body.Close()
-
-	body, err := io.ReadAll(resp.Body)
-	if err != nil {
-		return "", fmt.Errorf("read decode request: %w", err)
-	}
-
-	if resp.StatusCode >= 400 {
-		log.Printf("llm decode error: %s", body)
-		return "", fmt.Errorf("%s", body)
-	}
-
-	var decoded DetokenizeResponse
-	if err := json.Unmarshal(body, &decoded); err != nil {
-		return "", fmt.Errorf("unmarshal encode response: %w", err)
-	}
-
-	return decoded.Content, nil
+	return s.llamaModel.Detokenize(tokens), nil
 }
 
 func (s *llmServer) Close() error {
@@ -997,6 +904,10 @@ func (s *llmServer) Close() error {
 		slog.Debug("llama server stopped")
 	}
 
+	if s.llamaModel != nil {
+		s.llamaModel.Close()
+	}
+
 	return nil
 }