KBaba7/llama.cpp
0
1#include "llama.h"2#include "common.h"3#include "unicode.h"4#include "console.h"5 6#include <cassert>7#include <codecvt>8#include <cstdio>9#include <cstring>10#include <locale>11#include <string>12#include <thread>13#include <vector>14#include <atomic>15 16int main(int argc, char **argv) {17 if (argc < 2 || argc > 3) {18 fprintf(stderr, "Usage: %s <vocab-file> [--ignore-merges]\n", argv[0]);19 return 1;20 }21 22 const std::string fname = argv[1];23 bool ignore_merges = false;24 if (argc == 3) {25 if (std::strcmp(argv[2], "--ignore-merges") != 0) {26 fprintf(stderr, "Usage: %s <vocab-file> [--ignore-merges]\n", argv[0]);27 return 1;28 }29 ignore_merges = true;30 }31 32 fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());33 34 if (ignore_merges) {35 fprintf(stderr, "%s : ignoring merges for tokens inside vocab\n", __func__);36 }37 38 llama_model * model;39 llama_context * ctx;40 41 llama_backend_init();42 43 // load the vocab44 {45 auto mparams = llama_model_default_params();46 47 mparams.vocab_only = true;48 49 model = llama_model_load_from_file(fname.c_str(), mparams);50 51 if (model == NULL) {52 fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());53 return 1;54 }55 56 auto cparams = llama_context_default_params();57 58 ctx = llama_init_from_model(model, cparams);59 60 if (ctx == NULL) {61 fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());62 llama_model_free(model);63 return 1;64 }65 }66 67 const llama_vocab * vocab = llama_model_get_vocab(model);68 69 //GGML_ASSERT(llama_vocab_type(vocab) == LLAMA_VOCAB_TYPE_BPE);70 if (llama_vocab_type(vocab) != LLAMA_VOCAB_TYPE_BPE) {71 return 99;72 }73 74#ifdef _WIN3275 // We need this for unicode console support76 console::init(false, false);77 atexit([]() { console::cleanup(); });78#endif79 80 const int n_vocab = llama_vocab_n_tokens(vocab);81 82 for (int i = 0; i < n_vocab; ++i) {83 std::string str = common_detokenize(ctx, std::vector<int>(1, i));84 try {85 auto cps = unicode_cpts_from_utf8(str);86 std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);87 if (ignore_merges && tokens.size() > 1) {88 fprintf(stderr,89 "%s : error: token %d detokenizes to '%s'(%zu) but "90 "tokenization of this to multiple tokens: [",91 __func__, i, str.c_str(), str.length());92 fprintf(stderr, "%d", tokens[0]);93 for (size_t i = 1; i < tokens.size(); i++) {94 fprintf(stderr, ", %d", tokens[i]);95 }96 fprintf(stderr, "]\n");97 return 2;98 }99 std::string check = common_detokenize(ctx, tokens);100 if (check != str) {101 fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",102 __func__, i, str.c_str(), str.length(), check.c_str(), check.length());103 return 2;104 }105 }106 catch (const std::invalid_argument &) {107 //fprintf(stderr, "%s : info: utf8 conversion %d '%s'\n", __func__, i, str.c_str());108 }109 }110 111 // unicode112 {113 const int nthread = std::thread::hardware_concurrency();114 115 std::vector<std::thread> threads(nthread);116 117 std::atomic_int errcode = {};118 119 for (int i = 0; i < nthread; ++i) {120 threads[i] = std::thread([i, nthread, ctx, &errcode]() {121 for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {122 if ((0x0000D800 <= cp && cp <= 0x0000DFFF) || // surrogates \p{Cs}123 (0x00040000 <= cp && cp <= 0x000E0000)) { // undefined \p{Cn}124 continue;125 }126 127 std::string str = unicode_cpt_to_utf8(cp);128 std::vector<llama_token> tokens = common_tokenize(ctx, str, false);129 std::string check = common_detokenize(ctx, tokens);130 if (cp != 9601 && str != check) {131 fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",132 cp, check.c_str(), check.length(), str.c_str(), str.length());133 errcode = 3;134 }135 }136 });137 }138 139 for (auto & t : threads) {140 t.join();141 }142 143 if (errcode) {144 return errcode;145 }146 }147 148 llama_model_free(model);149 llama_free(ctx);150 151 llama_backend_free();152 153 return 0;154}155 