llama.cpp/tests/test-tokenizer-0-llama.cpp

#include "llama.h"
#include "common.h"
#include "console.h"

#include <cstdio>
#include <string>
#include <map>
#include <vector>
#include <fstream>

// generate using test-tokenizer-0-llama.py
static const std::map<std::string, std::vector<llama_token>> & k_tests() {
    static std::map<std::string, std::vector<llama_token>> _k_tests = {
        { ""                      , {  }, },
        { " "                     , {     259, }, },
        { "  "                    , {    1678, }, },
        { "   "                   , {     268, }, },
        { "\t"                    , {   29871,     12, }, },
        { "\n"                    , {   29871,     13, }, },
        { "\t\n"                  , {   29871,     12,     13, }, },
        { "Hello world"           , {   15043,   3186, }, },
        { " Hello world"          , {   29871,  15043,   3186, }, },
        { "Hello World"           , {   15043,   2787, }, },
        { " Hello World"          , {   29871,  15043,   2787, }, },
        { " Hello World!"         , {   29871,  15043,   2787,  29991, }, },
        { "Hello, world!"         , {   15043,  29892,   3186,  29991, }, },
        { " Hello, world!"        , {   29871,  15043,  29892,   3186,  29991, }, },
        { " this is 🦙.cpp"        , {   29871,    445,    338,  29871,    243,    162,    169,    156,  29889,   8223, }, },
        { "w048 7tuijk dsdfhu"    , {     281,  29900,  29946,  29947,  29871,  29955,   9161,  13535,  18031,   2176,   6905, }, },
        { "нещо на Български"     , {    1538,   4851,    665,   1386,  29713,   1305, }, },
        { "កាន់តែពិសេសអាចខលចេញ"   , {   29871,  31849,  31324,  31934,    228,    162,    142,    228,    161,    146,    228,    162,    133,    228,    161,    153,    228,    161,    186,  31708,    228,    162,    132,  31708,    228,    161,    165,  31324,    228,    161,    136,    228,    161,    132,    228,    161,    158,    228,    161,    136,    228,    162,    132,    228,    161,    140, }, },
        { "🚀 (normal) 😶‍🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)", {   29871,    243,    162,    157,    131,    313,   8945,  29897,  29871,    243,    162,    155,    185,  30722,    243,    162,    143,    174,  30598,    313,  20787,    953,   3848,    275,  16125,    630,  29897,  29871,  31681,    313,   6194,    953,  29877,   2397,    393,    756,    967,   1914,   5993,  29897, }, },
        { "Hello"                 , {   15043, }, },
        { " Hello"                , {   29871,  15043, }, },
        { "  Hello"               , {     259,  15043, }, },
        { "   Hello"              , {    1678,  15043, }, },
        { "    Hello"             , {     268,  15043, }, },
        { "    Hello\n    Hello"  , {     268,  15043,     13,   1678,  15043, }, },
        { " ("                    , {   29871,  313, }, },
    };

    return _k_tests;
}

int main(int argc, char **argv) {
    if (argc < 2) {
        fprintf(stderr, "Usage: %s vocab-file [text-file]\n", argv[0]);
        return 1;
    }

    const std::string fname = argv[1];

    std::string fname_text;
    if (argc > 2) {
        fname_text = argv[2];
    }

    fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());

    llama_model * model;
    llama_context * ctx;

    llama_backend_init(false);

    // load the vocab
    {
        auto mparams = llama_model_default_params();

        mparams.vocab_only = true;

        model = llama_load_model_from_file(fname.c_str(), mparams);

        if (model == NULL) {
            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
            return 1;
        }

        auto cparams = llama_context_default_params();

        ctx = llama_new_context_with_model(model, cparams);

        if (ctx == NULL) {
            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
            llama_free_model(model);
            return 1;
        }
    }

    if (llama_vocab_type(model) != LLAMA_VOCAB_TYPE_SPM) {
        fprintf(stderr, "%s : error: vocab type is not SPM\n", __func__);
        llama_free_model(model);
        llama_free(ctx);
        return 2;
    }

#ifdef _WIN32
    // We need this for unicode console support
    console::init(false, false);
    atexit([]() { console::cleanup(); });
#endif

    bool success = true;

    for (const auto & test_kv : k_tests()) {
        const std::vector<llama_token> res_bos   = llama_tokenize(ctx, test_kv.first, true);
        const std::vector<llama_token> res_nobos = llama_tokenize(ctx, test_kv.first, false);

        printf("\n");
        printf("src: '%s'\n", test_kv.first.c_str());
        printf("res: '%s'\n", llama_detokenize_spm(ctx, res_bos).c_str());
        printf("tok: ");
        for (const auto & tok : res_bos) {
            printf("%d ", tok);
        }
        printf("\n");

        bool correct = res_nobos.size() == test_kv.second.size() && res_bos.size() == res_nobos.size() + 1 && res_bos[0] == 1;

        for (int i = 0; i < (int) res_nobos.size() && correct; ++i) {
            if (test_kv.second[i] != res_bos[i + 1]) {
                correct = false;
            }
            if (test_kv.second[i] != res_nobos[i]) {
                correct = false;
            }
        }

        if (!correct) {
            fprintf(stderr, "%s : failed test:    '%s'\n", __func__, test_kv.first.c_str());
            fprintf(stderr, "%s : detokenized to: '%s' instead of '%s'\n", __func__,
                llama_detokenize_spm(ctx, res_nobos).c_str(),
                llama_detokenize_spm(ctx, test_kv.second).c_str());
            fprintf(stderr, "%s : expected tokens: ", __func__);
            for (const auto & t : test_kv.second) {
                fprintf(stderr, "%6d, ", t);
            }
            fprintf(stderr, "\n");
            fprintf(stderr, "%s : got tokens:      ", __func__);
            for (const auto & t : res_nobos) {
                fprintf(stderr, "%6d, ", t);
            }
            fprintf(stderr, "\n");

            success = false;
        }
    }

    if (!fname_text.empty()) {
        fprintf(stderr, "%s : tokenizing: '%s'\n", __func__, fname_text.c_str());

        std::string text;
        {
            std::ifstream ifs(fname_text);
            if (!ifs) {
                fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_text.c_str());
                return 1;
            }
            text = std::string(std::istreambuf_iterator<char>(ifs), std::istreambuf_iterator<char>());
        }

        fprintf(stderr, "%s : text size: %zu\n", __func__, text.size());

        const std::vector<llama_token> res = llama_tokenize(ctx, text, true);

        fprintf(stderr, "%s : tokens: %zu\n", __func__, res.size());

        {
            const std::string fname_out = fname_text + ".tokcpp";

            std::ofstream ofs(fname_out);
            if (!ofs) {
                fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_out.c_str());
                return 1;
            }

            for (const auto & tok : res) {
                ofs << tok << " '" << llama_detokenize_spm(ctx, std::vector<int>{tok}) << "'" << std::endl;
            }
        }

        fprintf(stderr, "%s : tokens written to '%s'\n", __func__, (fname_text + ".tokcpp").c_str());
    }

    llama_free_model(model);
    llama_free(ctx);

    llama_backend_free();

    return success ? 0 : 3;
}