mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-04 09:32:00 +00:00
daab3d7f45
* Add more tokenizer tests * Add starcoder * Update test vocab files * Restrict bpe tokenizer tests to unicode planes * Update comment * Comment cosmetics * Remove bloom vocab/test
123 lines
4.3 KiB
C++
123 lines
4.3 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 <cstdio>
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#include <cstring>
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#include <string>
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#include <codecvt>
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#include <map>
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#include <vector>
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#include <locale>
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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>\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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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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GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_BPE);
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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 = llama_detokenize_bpe(ctx, std::vector<int>(1, i));
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try {
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auto cps = codepoints_from_utf8(str);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(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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for (uint32_t cp = 0x0000; cp < 0xffff; ++cp) {
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// NOTE: these exceptions seem to be necessary, because the GPT2 tokenizer doesn't want to interfere with some ASCII control characters
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if ((cp < 0x03 || cp > 0x05) && cp != 0x0b && cp != 0x11 && (cp < 0x13 || cp > 0x17) && cp != 0x19 && (cp < 0x1c || cp > 0x1e) && (cp < 0xd800 || cp > 0xdfff)) {
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std::string str = " " + codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(ctx, tokens);
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if (str != check) {
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fprintf(stderr, "%s : error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
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__func__, cp, check.c_str(), check.length(), str.c_str(), str.length());
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return 3;
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}
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}
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}
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// Restrict to assigned unicode planes
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// for (uint32_t cp = 0x10000; cp < 0x0010ffff; ++cp) {
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for (uint32_t cp = 0x10000; cp < 0x00040000; ++cp) {
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std::string str = codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(ctx, tokens);
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if (str != check) {
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fprintf(stderr, "%s : error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
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__func__, cp, check.c_str(), check.length(), str.c_str(), str.length());
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return 4;
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}
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}
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for (uint32_t cp = 0x000e0000; cp < 0x0010ffff; ++cp) {
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std::string str = codepoint_to_utf8(cp);
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_bpe(ctx, tokens);
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if (str != check) {
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fprintf(stderr, "%s : error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
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__func__, cp, check.c_str(), check.length(), str.c_str(), str.length());
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return 4;
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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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