mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-26 11:24:35 +00:00
ff5a3f0c09
* Work on the BPE tokenizer Tokenizer tests work for Falcon-7B * Try to fix build problem * Fix debug assertion failure * Fix MSVC Unicode BOM problem * Cleanup and an improvement * Fix compiler warning * Cleanup * Test doesn't work over the full range of Unicodes * Update .gitignore and Makefile * Another Makefile rule * Testing Aquila * Moving byte decoding back to `token_to_piece` ... ... because everyone is using it. * Guarding some unusable code pathes * Streamlining code and adding some more assertions Important change: I'm classifying added tokens as control tokens now for BPE. * Adding a comment * Adding another assertion * Fixed vocabulary guarding assertions * Fix PR for recent change * Fix PR for recent change * Fix for compiler warning * Fix PR for recent change * Fix PR for recent change * Fix PR for recent change * Fix for compiler warning * Fixes for more compiler warnings * Remove unused code * Fix initialization of static maps * Add scores and token types back, adapt gptneox * Update llama.cpp Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update unicode.h Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Update unicode.h Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * Ported Starcoder and added some assertions * Fix coding style * Apply @jploski 's fix for missing tokens --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
188 lines
6.9 KiB
C++
188 lines
6.9 KiB
C++
#include "llama.h"
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#include "common.h"
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#include "console.h"
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#include <cstdio>
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#include <string>
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#include <map>
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#include <vector>
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#include <fstream>
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// generate using test-tokenizer-0-falcon.py
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static const std::map<std::string, std::vector<llama_token>> & k_tests() {
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static std::map<std::string, std::vector<llama_token>> _k_tests = {
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{ "" , { }, },
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{ " " , { 204, }, },
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{ " " , { 258, }, },
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{ " " , { 466, }, },
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{ "\t" , { 192, }, },
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{ "\n" , { 193, }, },
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{ "\t\n" , { 19125, }, },
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{ "Hello world" , { 9856, 1079, }, },
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{ " Hello world" , { 23090, 1079, }, },
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{ "Hello World" , { 9856, 2889, }, },
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{ " Hello World" , { 23090, 2889, }, },
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{ " Hello World!" , { 23090, 2889, 12, }, },
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{ "Hello, world!" , { 9856, 23, 1079, 12, }, },
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{ " Hello, world!" , { 23090, 23, 1079, 12, }, },
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{ " this is 🦙.cpp" , { 414, 304, 3346, 111, 231, 25, 29247, }, },
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{ "w048 7tuijk dsdfhu" , { 98, 55866, 204, 34, 16682, 7149, 36190, 6869, 11481, }, },
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{ "нещо на Български" , { 150, 133, 6207, 151, 215, 150, 134, 5052, 133, 6279, 5052, 223, 151, 216, 49679, 123, 53110, 47043, 7795, }, },
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{ "កាន់តែពិសេសអាចខលចេញ" , { 38154, 206, 38154, 126, 38154, 225, 167, 237, 217, 38154, 221, 167, 237, 208, 38154, 228, 38154, 127, 38154, 237, 167, 237, 207, 38154, 237, 38154, 107, 38154, 126, 38154, 211, 38154, 207, 38154, 233, 38154, 211, 167, 237, 207, 38154, 215, }, },
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{ "🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)", { 2571, 232, 206, 204, 19, 11003, 20, 8196, 126, 283, 219, 48778, 116, 13392, 204, 19, 51831, 732, 63209, 1741, 7955, 522, 20, 22438, 211, 204, 19, 7927, 53360, 325, 504, 701, 946, 10930, 20, }, },
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{ "Hello" , { 9856, }, },
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{ " Hello" , { 23090, }, },
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{ " Hello" , { 204, 23090, }, },
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{ " Hello" , { 258, 23090, }, },
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{ " Hello" , { 466, 23090, }, },
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{ " Hello\n Hello" , { 466, 23090, 742, 23090, }, },
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};
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return _k_tests;
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}
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int main(int argc, char **argv) {
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if (argc < 2) {
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fprintf(stderr, "Usage: %s vocab-file [text-file]\n", argv[0]);
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return 1;
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}
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const std::string fname = argv[1];
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std::string fname_text;
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if (argc > 2) {
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fname_text = argv[2];
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}
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fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
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llama_model * model;
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llama_context * ctx;
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llama_backend_init(false);
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// load the vocab
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{
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auto mparams = llama_model_default_params();
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mparams.vocab_only = true;
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model = llama_load_model_from_file(fname.c_str(), mparams);
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if (model == NULL) {
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fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
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return 1;
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}
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auto cparams = llama_context_default_params();
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ctx = llama_new_context_with_model(model, cparams);
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if (ctx == NULL) {
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fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
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llama_free_model(model);
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return 1;
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}
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}
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if (llama_vocab_type(model) != LLAMA_VOCAB_TYPE_BPE) {
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fprintf(stderr, "%s : error: vocab type is not BPE\n", __func__);
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llama_free_model(model);
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llama_free(ctx);
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return 2;
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}
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#ifdef _WIN32
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// We need this for unicode console support
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console::init(false, false);
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atexit([]() { console::cleanup(); });
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#endif
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bool success = true;
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for (const auto & test_kv : k_tests()) {
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const std::vector<llama_token> res = llama_tokenize(ctx, test_kv.first, false);
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printf("\n");
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printf("src: '%s'\n", test_kv.first.c_str());
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printf("res: '%s'\n", llama_detokenize_bpe(ctx, res).c_str());
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printf("tok: ");
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for (const auto & tok : res) {
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printf("%d ", tok);
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}
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printf("\n");
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bool correct = res.size() == test_kv.second.size();
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for (int i = 0; i < (int) res.size() && correct; ++i) {
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if (test_kv.second[i] != res[i]) {
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correct = false;
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}
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}
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if (!correct) {
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fprintf(stderr, "%s : failed test: '%s'\n", __func__, test_kv.first.c_str());
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fprintf(stderr, "%s : detokenized to: '%s' instead of '%s'\n", __func__,
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llama_detokenize_bpe(ctx, res).c_str(),
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llama_detokenize_bpe(ctx, test_kv.second).c_str());
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fprintf(stderr, "%s : expected tokens: ", __func__);
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for (const auto & t : test_kv.second) {
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fprintf(stderr, "%6d, ", t);
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}
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fprintf(stderr, "\n");
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fprintf(stderr, "%s : got tokens: ", __func__);
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for (const auto & t : res) {
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fprintf(stderr, "%6d, ", t);
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}
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fprintf(stderr, "\n");
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success = false;
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}
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}
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if (!fname_text.empty()) {
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fprintf(stderr, "%s : tokenizing: '%s'\n", __func__, fname_text.c_str());
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std::string text;
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{
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std::ifstream ifs(fname_text);
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if (!ifs) {
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fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_text.c_str());
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return 1;
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}
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text = std::string(std::istreambuf_iterator<char>(ifs), std::istreambuf_iterator<char>());
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}
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fprintf(stderr, "%s : text size: %zu\n", __func__, text.size());
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const std::vector<llama_token> res = llama_tokenize(ctx, text, true);
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fprintf(stderr, "%s : tokens: %zu\n", __func__, res.size());
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{
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const std::string fname_out = fname_text + ".tokcpp";
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std::ofstream ofs(fname_out);
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if (!ofs) {
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fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_out.c_str());
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return 1;
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}
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for (const auto & tok : res) {
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ofs << tok << " ";
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}
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ofs << "\n";
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}
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fprintf(stderr, "%s : tokens written to '%s'\n", __func__, (fname_text + ".tokcpp").c_str());
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}
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llama_free_model(model);
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llama_free(ctx);
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llama_backend_free();
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return success ? 0 : 3;
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}
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