ext_server.cpp 10 KB

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  1. #include "ext_server.h"
  2. // Necessary evil since the server types are not defined in a header
  3. #include "server.cpp"
  4. // Low level API access to verify GPU access
  5. #if defined(GGML_USE_CUBLAS)
  6. #if defined(GGML_USE_HIPBLAS)
  7. #include <hip/hip_runtime.h>
  8. #include <hipblas/hipblas.h>
  9. #include <hip/hip_fp16.h>
  10. #ifdef __HIP_PLATFORM_AMD__
  11. // for rocblas_initialize()
  12. #include "rocblas/rocblas.h"
  13. #endif // __HIP_PLATFORM_AMD__
  14. #define cudaGetDevice hipGetDevice
  15. #define cudaError_t hipError_t
  16. #define cudaSuccess hipSuccess
  17. #define cudaGetErrorString hipGetErrorString
  18. #else
  19. #include <cuda_runtime.h>
  20. #include <cublas_v2.h>
  21. #include <cuda_fp16.h>
  22. #endif // defined(GGML_USE_HIPBLAS)
  23. #endif // GGML_USE_CUBLAS
  24. // Expose the llama server as a callable extern "C" API
  25. llama_server_context *llama = NULL;
  26. std::atomic<bool> ext_server_running(false);
  27. std::thread ext_server_thread;
  28. void llama_server_init(ext_server_params *sparams, ext_server_resp_t *err) {
  29. assert(err != NULL && sparams != NULL);
  30. log_set_target(stderr);
  31. if (!sparams->verbose_logging) {
  32. log_disable();
  33. }
  34. LOG_TEE("system info: %s\n", llama_print_system_info());
  35. err->id = 0;
  36. err->msg[0] = '\0';
  37. try {
  38. llama = new llama_server_context;
  39. gpt_params params;
  40. params.n_ctx = sparams->n_ctx;
  41. params.n_batch = sparams->n_batch;
  42. if (sparams->n_threads > 0) {
  43. params.n_threads = sparams->n_threads;
  44. }
  45. params.n_parallel = sparams->n_parallel;
  46. params.rope_freq_base = sparams->rope_freq_base;
  47. params.rope_freq_scale = sparams->rope_freq_scale;
  48. if (sparams->memory_f16) {
  49. params.cache_type_k = "f16";
  50. params.cache_type_v = "f16";
  51. } else {
  52. params.cache_type_k = "f32";
  53. params.cache_type_v = "f32";
  54. }
  55. params.n_gpu_layers = sparams->n_gpu_layers;
  56. params.main_gpu = sparams->main_gpu;
  57. params.use_mlock = sparams->use_mlock;
  58. params.use_mmap = sparams->use_mmap;
  59. params.numa = sparams->numa;
  60. params.embedding = sparams->embedding;
  61. if (sparams->model != NULL) {
  62. params.model = sparams->model;
  63. }
  64. if (sparams->lora_adapters != NULL) {
  65. for (ext_server_lora_adapter *la = sparams->lora_adapters; la != NULL;
  66. la = la->next) {
  67. params.lora_adapter.push_back(std::make_tuple(la->adapter, la->scale));
  68. }
  69. params.use_mmap = false;
  70. }
  71. if (sparams->mmproj != NULL) {
  72. params.mmproj = std::string(sparams->mmproj);
  73. }
  74. #if defined(GGML_USE_CUBLAS)
  75. // Before attempting to init the backend which will assert on error, verify the CUDA/ROCM GPU is accessible
  76. LOG_TEE("Performing pre-initialization of GPU\n");
  77. int id;
  78. cudaError_t cudaErr = cudaGetDevice(&id);
  79. if (cudaErr != cudaSuccess) {
  80. err->id = -1;
  81. snprintf(err->msg, err->msg_len, "Unable to init GPU: %s", cudaGetErrorString(cudaErr));
  82. return;
  83. }
  84. #endif
  85. llama_backend_init(params.numa);
  86. // load the model
  87. if (!llama->load_model(params)) {
  88. // TODO - consider modifying the logging logic or patching load_model so
  89. // we can capture more detailed error messages and pass them back to the
  90. // caller for better UX
  91. err->id = -1;
  92. snprintf(err->msg, err->msg_len, "error loading model %s",
  93. params.model.c_str());
  94. return;
  95. }
  96. llama->initialize();
  97. } catch (std::exception &e) {
  98. err->id = -1;
  99. snprintf(err->msg, err->msg_len, "exception %s", e.what());
  100. } catch (...) {
  101. err->id = -1;
  102. snprintf(err->msg, err->msg_len,
  103. "Unknown exception initializing llama server");
  104. }
  105. }
  106. void llama_server_start() {
  107. assert(llama != NULL);
  108. // TODO mutex to protect thread creation
  109. ext_server_thread = std::thread([&]() {
  110. ext_server_running = true;
  111. try {
  112. LOG_TEE("llama server main loop starting\n");
  113. ggml_time_init();
  114. while (ext_server_running.load()) {
  115. if (!llama->update_slots()) {
  116. LOG_TEE(
  117. "unexpected error in llama server update_slots - exiting main "
  118. "loop\n");
  119. break;
  120. }
  121. }
  122. } catch (std::exception &e) {
  123. LOG_TEE("caught exception in llama server main loop: %s\n", e.what());
  124. } catch (...) {
  125. LOG_TEE("caught unknown exception in llama server main loop\n");
  126. }
  127. LOG_TEE("\nllama server shutting down\n");
  128. llama_backend_free();
  129. });
  130. }
  131. void llama_server_stop() {
  132. assert(llama != NULL);
  133. // TODO - too verbose, remove once things are solid
  134. LOG_TEE("requesting llama server shutdown\n");
  135. ext_server_running = false;
  136. // unblocks the update_slots() loop so it can clean up and exit
  137. llama->request_cancel(0);
  138. ext_server_thread.join();
  139. delete llama;
  140. llama = NULL;
  141. LOG_TEE("llama server shutdown complete\n");
  142. }
  143. void llama_server_completion(const char *json_req, ext_server_resp_t *resp) {
  144. assert(llama != NULL && json_req != NULL && resp != NULL);
  145. resp->id = -1;
  146. resp->msg[0] = '\0';
  147. try {
  148. json data = json::parse(json_req);
  149. resp->id = llama->request_completion(data, false, false, -1);
  150. } catch (std::exception &e) {
  151. snprintf(resp->msg, resp->msg_len, "exception %s", e.what());
  152. } catch (...) {
  153. snprintf(resp->msg, resp->msg_len, "Unknown exception during completion");
  154. }
  155. }
  156. void llama_server_completion_next_result(const int task_id,
  157. ext_server_task_result_t *resp) {
  158. assert(llama != NULL && resp != NULL);
  159. std::string msg;
  160. resp->id = -1;
  161. resp->stop = false;
  162. resp->error = false;
  163. resp->json_resp = NULL;
  164. std::string result_json;
  165. try {
  166. task_result result = llama->next_result(task_id);
  167. result_json =
  168. result.result_json.dump(-1, ' ', false, json::error_handler_t::replace);
  169. resp->id = result.id;
  170. resp->stop = result.stop;
  171. resp->error = result.error;
  172. if (result.error) {
  173. llama->request_cancel(task_id);
  174. } else if (result.stop) {
  175. llama->request_cancel(task_id);
  176. }
  177. } catch (std::exception &e) {
  178. resp->error = true;
  179. resp->id = -1;
  180. result_json = "{\"error\":\"exception " + std::string(e.what()) + "\"}";
  181. LOG_TEE("llama server completion exception %s\n", e.what());
  182. } catch (...) {
  183. resp->error = true;
  184. resp->id = -1;
  185. result_json = "{\"error\":\"Unknown exception during completion\"}";
  186. LOG_TEE("llama server completion unknown exception\n");
  187. }
  188. const std::string::size_type size = result_json.size() + 1;
  189. resp->json_resp = new char[size];
  190. snprintf(resp->json_resp, size, "%s", result_json.c_str());
  191. }
  192. void llama_server_release_task_result(ext_server_task_result_t *result) {
  193. if (result == NULL || result->json_resp == NULL) {
  194. return;
  195. }
  196. delete[] result->json_resp;
  197. }
  198. void llama_server_completion_cancel(const int task_id, ext_server_resp_t *err) {
  199. assert(llama != NULL && err != NULL);
  200. err->id = 0;
  201. err->msg[0] = '\0';
  202. try {
  203. llama->request_cancel(task_id);
  204. } catch (std::exception &e) {
  205. err->id = -1;
  206. snprintf(err->msg, err->msg_len, "exception %s", e.what());
  207. } catch (...) {
  208. err->id = -1;
  209. snprintf(err->msg, err->msg_len,
  210. "Unknown exception completion cancel in llama server");
  211. }
  212. }
  213. void llama_server_tokenize(const char *json_req, char **json_resp,
  214. ext_server_resp_t *err) {
  215. assert(llama != NULL && json_req != NULL && json_resp != NULL && err != NULL);
  216. *json_resp = NULL;
  217. err->id = 0;
  218. err->msg[0] = '\0';
  219. try {
  220. const json body = json::parse(json_req);
  221. std::vector<llama_token> tokens;
  222. if (body.count("content") != 0) {
  223. tokens = llama->tokenize(body["content"], false);
  224. }
  225. const json data = format_tokenizer_response(tokens);
  226. std::string result_json = data.dump();
  227. const std::string::size_type size = result_json.size() + 1;
  228. *json_resp = new char[size];
  229. snprintf(*json_resp, size, "%s", result_json.c_str());
  230. } catch (std::exception &e) {
  231. err->id = -1;
  232. snprintf(err->msg, err->msg_len, "exception %s", e.what());
  233. } catch (...) {
  234. err->id = -1;
  235. snprintf(err->msg, err->msg_len, "Unknown exception during tokenize");
  236. }
  237. }
  238. void llama_server_release_json_resp(char **json_resp) {
  239. if (json_resp == NULL || *json_resp == NULL) {
  240. return;
  241. }
  242. delete[] *json_resp;
  243. }
  244. void llama_server_detokenize(const char *json_req, char **json_resp,
  245. ext_server_resp_t *err) {
  246. assert(llama != NULL && json_req != NULL && json_resp != NULL && err != NULL);
  247. *json_resp = NULL;
  248. err->id = 0;
  249. err->msg[0] = '\0';
  250. try {
  251. const json body = json::parse(json_req);
  252. std::string content;
  253. if (body.count("tokens") != 0) {
  254. const std::vector<llama_token> tokens = body["tokens"];
  255. content = tokens_to_str(llama->ctx, tokens.cbegin(), tokens.cend());
  256. }
  257. const json data = format_detokenized_response(content);
  258. std::string result_json = data.dump();
  259. const std::string::size_type size = result_json.size() + 1;
  260. *json_resp = new char[size];
  261. snprintf(*json_resp, size, "%s", result_json.c_str());
  262. } catch (std::exception &e) {
  263. err->id = -1;
  264. snprintf(err->msg, err->msg_len, "exception %s", e.what());
  265. } catch (...) {
  266. err->id = -1;
  267. snprintf(err->msg, err->msg_len, "Unknown exception during detokenize");
  268. }
  269. }
  270. void llama_server_embedding(const char *json_req, char **json_resp,
  271. ext_server_resp_t *err) {
  272. assert(llama != NULL && json_req != NULL && json_resp != NULL && err != NULL);
  273. *json_resp = NULL;
  274. err->id = 0;
  275. err->msg[0] = '\0';
  276. try {
  277. const json body = json::parse(json_req);
  278. json prompt;
  279. if (body.count("content") != 0) {
  280. prompt = body["content"];
  281. } else {
  282. prompt = "";
  283. }
  284. const int task_id = llama->request_completion(
  285. {{"prompt", prompt}, {"n_predict", 0}}, false, true, -1);
  286. task_result result = llama->next_result(task_id);
  287. std::string result_json = result.result_json.dump();
  288. const std::string::size_type size = result_json.size() + 1;
  289. *json_resp = new char[size];
  290. snprintf(*json_resp, size, "%s", result_json.c_str());
  291. } catch (std::exception &e) {
  292. err->id = -1;
  293. snprintf(err->msg, err->msg_len, "exception %s", e.what());
  294. } catch (...) {
  295. err->id = -1;
  296. snprintf(err->msg, err->msg_len, "Unknown exception during embedding");
  297. }
  298. }