Felipe97/llama-cpp-compiled

1#include "llama.h"2#include "common.h"3#include "console.h"4 5#include "../src/unicode.h"6 7#include <cassert>8#include <codecvt>9#include <cstdio>10#include <cstring>11#include <locale>12#include <string>13#include <thread>14#include <vector>15#include <atomic>16 17int main(int argc, char ** argv) {18    if (argc < 2) {19        fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);20        return 1;21    }22 23    const std::string fname = argv[1];24 25    fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());26 27    llama_model * model;28    llama_context * ctx;29 30    llama_backend_init();31 32    // load the vocab33    {34        auto mparams = llama_model_default_params();35 36        mparams.vocab_only = true;37 38        model = llama_model_load_from_file(fname.c_str(), mparams);39 40        if (model == NULL) {41            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());42            return 1;43        }44 45        auto cparams = llama_context_default_params();46 47        ctx = llama_init_from_model(model, cparams);48 49        if (ctx == NULL) {50            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());51            llama_model_free(model);52            return 1;53        }54    }55 56    const llama_vocab * vocab = llama_model_get_vocab(model);57 58    //GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);59    if (llama_vocab_type(vocab) != LLAMA_VOCAB_TYPE_SPM) {60        return 99;61    }62 63#ifdef _WIN3264    // We need this for unicode console support65    console::init(false, false);66    atexit([]() { console::cleanup(); });67#endif68 69    const int n_vocab = llama_vocab_n_tokens(vocab);70 71    for (int i = 0; i < n_vocab; ++i) {72        std::string str = common_detokenize(ctx, std::vector<int>(1, i), true);73        std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);74        std::string check = common_detokenize(ctx, tokens);75        if (check != str) {76            fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",77                __func__, i, str.c_str(), str.length(), check.c_str(), check.length());78            return 2;79        }80    }81 82    // unicode83    {84        const int nthread = std::thread::hardware_concurrency();85 86        std::vector<std::thread> threads(nthread);87 88        std::atomic_int errcode = {};89 90        for (int i = 0; i < nthread; ++i) {91            threads[i] = std::thread([i, nthread, ctx, &errcode]() {92                for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {93                    if ((0x0000D800 <= cp && cp <= 0x0000DFFF) ||  // surrogates \p{Cs}94                        (0x00040000 <= cp && cp <= 0x000E0000)) {  // undefined \p{Cn}95                        continue;96                    }97 98                    std::string str = unicode_cpt_to_utf8(cp);99                    std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);100                    std::string check = common_detokenize(ctx, tokens);101                    if (cp != 9601 && str != check) {102                        fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",103                                cp, check.c_str(), check.length(), str.c_str(), str.length());104                        errcode = 3;105                    }106                }107            });108        }109 110        for (auto & t : threads) {111            t.join();112        }113 114        if(errcode) {115            return errcode;116        }117    }118 119    llama_free(ctx);120    llama_model_free(model);121 122    llama_backend_free();123 124    return 0;125}126