main.cpp 17 KB

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  1. // Defines sigaction on msys:
  2. #ifndef _GNU_SOURCE
  3. #define _GNU_SOURCE
  4. #endif
  5. #include "common.h"
  6. #include "llama.h"
  7. #include <cassert>
  8. #include <cinttypes>
  9. #include <cmath>
  10. #include <cstdio>
  11. #include <cstring>
  12. #include <ctime>
  13. #include <fstream>
  14. #include <iostream>
  15. #include <string>
  16. #include <vector>
  17. #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
  18. #include <signal.h>
  19. #include <unistd.h>
  20. #elif defined (_WIN32)
  21. #include <signal.h>
  22. #endif
  23. static console_state con_st;
  24. static llama_context ** g_ctx;
  25. static bool is_interacting = false;
  26. #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
  27. void sigint_handler(int signo) {
  28. set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
  29. printf("\n"); // this also force flush stdout.
  30. if (signo == SIGINT) {
  31. if (!is_interacting) {
  32. is_interacting=true;
  33. } else {
  34. llama_print_timings(*g_ctx);
  35. _exit(130);
  36. }
  37. }
  38. }
  39. #endif
  40. int main(int argc, char ** argv) {
  41. gpt_params params;
  42. params.model = "models/llama-7B/ggml-model.bin";
  43. if (gpt_params_parse(argc, argv, params) == false) {
  44. return 1;
  45. }
  46. // save choice to use color for later
  47. // (note for later: this is a slightly awkward choice)
  48. con_st.use_color = params.use_color;
  49. #if defined (_WIN32)
  50. win32_console_init(params.use_color);
  51. #endif
  52. if (params.perplexity) {
  53. printf("\n************\n");
  54. printf("%s: please use the 'perplexity' tool for perplexity calculations\n", __func__);
  55. printf("************\n\n");
  56. return 0;
  57. }
  58. if (params.embedding) {
  59. printf("\n************\n");
  60. printf("%s: please use the 'embedding' tool for embedding calculations\n", __func__);
  61. printf("************\n\n");
  62. return 0;
  63. }
  64. if (params.n_ctx > 2048) {
  65. fprintf(stderr, "%s: warning: model does not support context sizes greater than 2048 tokens (%d specified);"
  66. "expect poor results\n", __func__, params.n_ctx);
  67. }
  68. if (params.seed <= 0) {
  69. params.seed = time(NULL);
  70. }
  71. fprintf(stderr, "%s: seed = %d\n", __func__, params.seed);
  72. std::mt19937 rng(params.seed);
  73. if (params.random_prompt) {
  74. params.prompt = gpt_random_prompt(rng);
  75. }
  76. // params.prompt = R"(// this function checks if the number n is prime
  77. //bool is_prime(int n) {)";
  78. llama_context * ctx;
  79. g_ctx = &ctx;
  80. // load the model
  81. {
  82. auto lparams = llama_context_default_params();
  83. lparams.n_ctx = params.n_ctx;
  84. lparams.n_parts = params.n_parts;
  85. lparams.seed = params.seed;
  86. lparams.f16_kv = params.memory_f16;
  87. lparams.use_mmap = params.use_mmap;
  88. lparams.use_mlock = params.use_mlock;
  89. ctx = llama_init_from_file(params.model.c_str(), lparams);
  90. if (ctx == NULL) {
  91. fprintf(stderr, "%s: error: failed to load model '%s'\n", __func__, params.model.c_str());
  92. return 1;
  93. }
  94. }
  95. if (!params.lora_adapter.empty()) {
  96. int err = llama_apply_lora_from_file(ctx,
  97. params.lora_adapter.c_str(),
  98. params.lora_base.empty() ? NULL : params.lora_base.c_str(),
  99. params.n_threads);
  100. if (err != 0) {
  101. fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
  102. return 1;
  103. }
  104. }
  105. // print system information
  106. {
  107. fprintf(stderr, "\n");
  108. fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
  109. params.n_threads, std::thread::hardware_concurrency(), llama_print_system_info());
  110. }
  111. // determine the maximum memory usage needed to do inference for the given n_batch and n_predict parameters
  112. // uncomment the "used_mem" line in llama.cpp to see the results
  113. if (params.mem_test) {
  114. {
  115. const std::vector<llama_token> tmp(params.n_batch, 0);
  116. llama_eval(ctx, tmp.data(), tmp.size(), 0, params.n_threads);
  117. }
  118. {
  119. const std::vector<llama_token> tmp = { 0, };
  120. llama_eval(ctx, tmp.data(), tmp.size(), params.n_predict - 1, params.n_threads);
  121. }
  122. llama_print_timings(ctx);
  123. llama_free(ctx);
  124. return 0;
  125. }
  126. // Add a space in front of the first character to match OG llama tokenizer behavior
  127. params.prompt.insert(0, 1, ' ');
  128. // tokenize the prompt
  129. auto embd_inp = ::llama_tokenize(ctx, params.prompt, true);
  130. const int n_ctx = llama_n_ctx(ctx);
  131. if ((int) embd_inp.size() > n_ctx - 4) {
  132. fprintf(stderr, "%s: error: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4);
  133. return 1;
  134. }
  135. // number of tokens to keep when resetting context
  136. if (params.n_keep < 0 || params.n_keep > (int)embd_inp.size() || params.instruct) {
  137. params.n_keep = (int)embd_inp.size();
  138. }
  139. // prefix & suffix for instruct mode
  140. const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true);
  141. const auto inp_sfx = ::llama_tokenize(ctx, "\n\n### Response:\n\n", false);
  142. // in instruct mode, we inject a prefix and a suffix to each input by the user
  143. if (params.instruct) {
  144. params.interactive_start = true;
  145. params.antiprompt.push_back("### Instruction:\n\n");
  146. }
  147. // enable interactive mode if reverse prompt or interactive start is specified
  148. if (params.antiprompt.size() != 0 || params.interactive_start) {
  149. params.interactive = true;
  150. }
  151. // determine newline token
  152. auto llama_token_newline = ::llama_tokenize(ctx, "\n", false);
  153. if (params.verbose_prompt) {
  154. fprintf(stderr, "\n");
  155. fprintf(stderr, "%s: prompt: '%s'\n", __func__, params.prompt.c_str());
  156. fprintf(stderr, "%s: number of tokens in prompt = %zu\n", __func__, embd_inp.size());
  157. for (int i = 0; i < (int) embd_inp.size(); i++) {
  158. fprintf(stderr, "%6d -> '%s'\n", embd_inp[i], llama_token_to_str(ctx, embd_inp[i]));
  159. }
  160. if (params.n_keep > 0) {
  161. fprintf(stderr, "%s: static prompt based on n_keep: '", __func__);
  162. for (int i = 0; i < params.n_keep; i++) {
  163. fprintf(stderr, "%s", llama_token_to_str(ctx, embd_inp[i]));
  164. }
  165. fprintf(stderr, "'\n");
  166. }
  167. fprintf(stderr, "\n");
  168. }
  169. if (params.interactive) {
  170. #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
  171. struct sigaction sigint_action;
  172. sigint_action.sa_handler = sigint_handler;
  173. sigemptyset (&sigint_action.sa_mask);
  174. sigint_action.sa_flags = 0;
  175. sigaction(SIGINT, &sigint_action, NULL);
  176. #elif defined (_WIN32)
  177. signal(SIGINT, sigint_handler);
  178. #endif
  179. fprintf(stderr, "%s: interactive mode on.\n", __func__);
  180. if (params.antiprompt.size()) {
  181. for (auto antiprompt : params.antiprompt) {
  182. fprintf(stderr, "Reverse prompt: '%s'\n", antiprompt.c_str());
  183. }
  184. }
  185. if (!params.input_prefix.empty()) {
  186. fprintf(stderr, "Input prefix: '%s'\n", params.input_prefix.c_str());
  187. }
  188. }
  189. fprintf(stderr, "sampling: temp = %f, top_k = %d, top_p = %f, repeat_last_n = %i, repeat_penalty = %f\n",
  190. params.temp, params.top_k, params.top_p, params.repeat_last_n, params.repeat_penalty);
  191. fprintf(stderr, "generate: n_ctx = %d, n_batch = %d, n_predict = %d, n_keep = %d\n", n_ctx, params.n_batch, params.n_predict, params.n_keep);
  192. fprintf(stderr, "\n\n");
  193. // TODO: replace with ring-buffer
  194. std::vector<llama_token> last_n_tokens(n_ctx);
  195. std::fill(last_n_tokens.begin(), last_n_tokens.end(), 0);
  196. if (params.interactive) {
  197. fprintf(stderr, "== Running in interactive mode. ==\n"
  198. #if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__)) || defined (_WIN32)
  199. " - Press Ctrl+C to interject at any time.\n"
  200. #endif
  201. " - Press Return to return control to LLaMa.\n"
  202. " - If you want to submit another line, end your input in '\\'.\n\n");
  203. is_interacting = params.interactive_start;
  204. }
  205. bool is_antiprompt = false;
  206. bool input_noecho = false;
  207. int n_past = 0;
  208. int n_remain = params.n_predict;
  209. int n_consumed = 0;
  210. // the first thing we will do is to output the prompt, so set color accordingly
  211. set_console_color(con_st, CONSOLE_COLOR_PROMPT);
  212. std::vector<llama_token> embd;
  213. while (n_remain != 0 || params.interactive) {
  214. // predict
  215. if (embd.size() > 0) {
  216. // infinite text generation via context swapping
  217. // if we run out of context:
  218. // - take the n_keep first tokens from the original prompt (via n_past)
  219. // - take half of the last (n_ctx - n_keep) tokens and recompute the logits in batches
  220. if (n_past + (int) embd.size() > n_ctx) {
  221. const int n_left = n_past - params.n_keep;
  222. n_past = params.n_keep;
  223. // insert n_left/2 tokens at the start of embd from last_n_tokens
  224. embd.insert(embd.begin(), last_n_tokens.begin() + n_ctx - n_left/2 - embd.size(), last_n_tokens.end() - embd.size());
  225. //printf("\n---\n");
  226. //printf("resetting: '");
  227. //for (int i = 0; i < (int) embd.size(); i++) {
  228. // printf("%s", llama_token_to_str(ctx, embd[i]));
  229. //}
  230. //printf("'\n");
  231. //printf("\n---\n");
  232. }
  233. // evaluate tokens in batches
  234. // embd is typically prepared beforehand to fit within a batch, but not always
  235. for (int i = 0; i < (int) embd.size(); i += params.n_batch) {
  236. int n_eval = (int) embd.size() - i;
  237. if (n_eval > params.n_batch) {
  238. n_eval = params.n_batch;
  239. }
  240. if (llama_eval(ctx, &embd[i], n_eval, n_past, params.n_threads)) {
  241. fprintf(stderr, "%s : failed to eval\n", __func__);
  242. return 1;
  243. }
  244. n_past += n_eval;
  245. }
  246. }
  247. embd.clear();
  248. if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
  249. // out of user input, sample next token
  250. const int32_t top_k = params.top_k;
  251. const float top_p = params.top_p;
  252. const float temp = params.temp;
  253. const float repeat_penalty = params.repeat_penalty;
  254. llama_token id = 0;
  255. {
  256. auto logits = llama_get_logits(ctx);
  257. if (params.ignore_eos) {
  258. logits[llama_token_eos()] = 0;
  259. }
  260. id = llama_sample_top_p_top_k(ctx,
  261. last_n_tokens.data() + n_ctx - params.repeat_last_n,
  262. params.repeat_last_n, top_k, top_p, temp, repeat_penalty);
  263. last_n_tokens.erase(last_n_tokens.begin());
  264. last_n_tokens.push_back(id);
  265. }
  266. // replace end of text token with newline token when in interactive mode
  267. if (id == llama_token_eos() && params.interactive && !params.instruct) {
  268. id = llama_token_newline.front();
  269. if (params.antiprompt.size() != 0) {
  270. // tokenize and inject first reverse prompt
  271. const auto first_antiprompt = ::llama_tokenize(ctx, params.antiprompt.front(), false);
  272. embd_inp.insert(embd_inp.end(), first_antiprompt.begin(), first_antiprompt.end());
  273. }
  274. }
  275. // add it to the context
  276. embd.push_back(id);
  277. // echo this to console
  278. input_noecho = false;
  279. // decrement remaining sampling budget
  280. --n_remain;
  281. } else {
  282. // some user input remains from prompt or interaction, forward it to processing
  283. while ((int) embd_inp.size() > n_consumed) {
  284. embd.push_back(embd_inp[n_consumed]);
  285. last_n_tokens.erase(last_n_tokens.begin());
  286. last_n_tokens.push_back(embd_inp[n_consumed]);
  287. ++n_consumed;
  288. if ((int) embd.size() >= params.n_batch) {
  289. break;
  290. }
  291. }
  292. }
  293. // display text
  294. if (!input_noecho) {
  295. for (auto id : embd) {
  296. printf("%s", llama_token_to_str(ctx, id));
  297. }
  298. fflush(stdout);
  299. }
  300. // reset color to default if we there is no pending user input
  301. if (!input_noecho && (int)embd_inp.size() == n_consumed) {
  302. set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
  303. }
  304. // in interactive mode, and not currently processing queued inputs;
  305. // check if we should prompt the user for more
  306. if (params.interactive && (int) embd_inp.size() <= n_consumed) {
  307. // check for reverse prompt
  308. if (params.antiprompt.size()) {
  309. std::string last_output;
  310. for (auto id : last_n_tokens) {
  311. last_output += llama_token_to_str(ctx, id);
  312. }
  313. is_antiprompt = false;
  314. // Check if each of the reverse prompts appears at the end of the output.
  315. for (std::string & antiprompt : params.antiprompt) {
  316. if (last_output.find(antiprompt.c_str(), last_output.length() - antiprompt.length(), antiprompt.length()) != std::string::npos) {
  317. is_interacting = true;
  318. is_antiprompt = true;
  319. set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
  320. fflush(stdout);
  321. break;
  322. }
  323. }
  324. }
  325. if (n_past > 0 && is_interacting) {
  326. // potentially set color to indicate we are taking user input
  327. set_console_color(con_st, CONSOLE_COLOR_USER_INPUT);
  328. #if defined (_WIN32)
  329. // Windows: must reactivate sigint handler after each signal
  330. signal(SIGINT, sigint_handler);
  331. #endif
  332. if (params.instruct) {
  333. printf("\n> ");
  334. }
  335. std::string buffer;
  336. if (!params.input_prefix.empty()) {
  337. buffer += params.input_prefix;
  338. printf("%s", buffer.c_str());
  339. }
  340. std::string line;
  341. bool another_line = true;
  342. do {
  343. #if defined(_WIN32)
  344. std::wstring wline;
  345. if (!std::getline(std::wcin, wline)) {
  346. // input stream is bad or EOF received
  347. return 0;
  348. }
  349. win32_utf8_encode(wline, line);
  350. #else
  351. if (!std::getline(std::cin, line)) {
  352. // input stream is bad or EOF received
  353. return 0;
  354. }
  355. #endif
  356. if (line.empty() || line.back() != '\\') {
  357. another_line = false;
  358. } else {
  359. line.pop_back(); // Remove the continue character
  360. }
  361. buffer += line + '\n'; // Append the line to the result
  362. } while (another_line);
  363. // done taking input, reset color
  364. set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
  365. // Add tokens to embd only if the input buffer is non-empty
  366. // Entering a empty line lets the user pass control back
  367. if (buffer.length() > 1) {
  368. // instruct mode: insert instruction prefix
  369. if (params.instruct && !is_antiprompt) {
  370. n_consumed = embd_inp.size();
  371. embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
  372. }
  373. auto line_inp = ::llama_tokenize(ctx, buffer, false);
  374. embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
  375. // instruct mode: insert response suffix
  376. if (params.instruct) {
  377. embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
  378. }
  379. n_remain -= line_inp.size();
  380. }
  381. input_noecho = true; // do not echo this again
  382. }
  383. if (n_past > 0) {
  384. is_interacting = false;
  385. }
  386. }
  387. // end of text token
  388. if (!embd.empty() && embd.back() == llama_token_eos()) {
  389. if (params.instruct) {
  390. is_interacting = true;
  391. } else {
  392. fprintf(stderr, " [end of text]\n");
  393. break;
  394. }
  395. }
  396. // In interactive mode, respect the maximum number of tokens and drop back to user input when reached.
  397. if (params.interactive && n_remain <= 0 && params.n_predict != -1) {
  398. n_remain = params.n_predict;
  399. is_interacting = true;
  400. }
  401. }
  402. #if defined (_WIN32)
  403. signal(SIGINT, SIG_DFL);
  404. #endif
  405. llama_print_timings(ctx);
  406. llama_free(ctx);
  407. set_console_color(con_st, CONSOLE_COLOR_DEFAULT);
  408. return 0;
  409. }