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