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https://github.com/ggerganov/llama.cpp.git
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7eee341bee
* common : use common_ prefix for common library functions --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
153 lines
4.7 KiB
C++
153 lines
4.7 KiB
C++
#include "llama.h"
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#include "common.h"
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#include "unicode.h"
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#include "console.h"
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#include <cassert>
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#include <codecvt>
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#include <cstdio>
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#include <cstring>
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#include <locale>
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#include <string>
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#include <thread>
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#include <vector>
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#include <atomic>
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int main(int argc, char **argv) {
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if (argc < 2 || argc > 3) {
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fprintf(stderr, "Usage: %s <vocab-file> [--ignore-merges]\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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bool ignore_merges = false;
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if (argc == 3) {
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if (std::strcmp(argv[2], "--ignore-merges") != 0) {
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fprintf(stderr, "Usage: %s <vocab-file> [--ignore-merges]\n", argv[0]);
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return 1;
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}
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ignore_merges = true;
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}
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fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
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if (ignore_merges) {
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fprintf(stderr, "%s : ignoring merges for tokens inside vocab\n", __func__);
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}
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llama_model * model;
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llama_context * ctx;
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llama_backend_init();
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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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//GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_BPE);
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if (llama_vocab_type(model) != LLAMA_VOCAB_TYPE_BPE) {
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return 99;
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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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const int n_vocab = llama_n_vocab(model);
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for (int i = 0; i < n_vocab; ++i) {
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std::string str = common_detokenize(ctx, std::vector<int>(1, i));
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try {
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auto cps = unicode_cpts_from_utf8(str);
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std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
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if (ignore_merges && tokens.size() > 1) {
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fprintf(stderr,
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"%s : error: token %d detokenizes to '%s'(%zu) but "
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"tokenization of this to multiple tokens: [",
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__func__, i, str.c_str(), str.length());
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fprintf(stderr, "%d", tokens[0]);
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for (size_t i = 1; i < tokens.size(); i++) {
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fprintf(stderr, ", %d", tokens[i]);
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}
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fprintf(stderr, "]\n");
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return 2;
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}
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std::string check = common_detokenize(ctx, tokens);
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if (check != str) {
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fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",
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__func__, i, str.c_str(), str.length(), check.c_str(), check.length());
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return 2;
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}
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}
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catch (const std::invalid_argument &) {
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//fprintf(stderr, "%s : info: utf8 conversion %d '%s'\n", __func__, i, str.c_str());
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}
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}
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// unicode
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{
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const int nthread = std::thread::hardware_concurrency();
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std::vector<std::thread> threads(nthread);
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std::atomic_int errcode = {};
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for (int i = 0; i < nthread; ++i) {
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threads[i] = std::thread([i, nthread, ctx, &errcode]() {
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for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {
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if ((0x0000D800 <= cp && cp <= 0x0000DFFF) || // surrogates \p{Cs}
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(0x00040000 <= cp && cp <= 0x000E0000)) { // undefined \p{Cn}
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continue;
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}
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std::string str = unicode_cpt_to_utf8(cp);
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std::vector<llama_token> tokens = common_tokenize(ctx, str, false);
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std::string check = common_detokenize(ctx, tokens);
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if (cp != 9601 && str != check) {
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fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
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cp, check.c_str(), check.length(), str.c_str(), str.length());
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errcode = 3;
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}
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}
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});
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}
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for (auto & t : threads) {
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t.join();
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}
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if (errcode) {
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return errcode;
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}
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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 0;
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}
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