mirror of
				https://github.com/ggml-org/llama.cpp.git
				synced 2025-10-28 08:31:25 +00:00 
			
		
		
		
	 13b4548877
			
		
	
	13b4548877
	
	
	
		
			
			* cmake : do not include ./src as public for libllama ggml-ci * cmake : rework tests ggml-ci * llguidance : remove unicode include ggml-ci * cmake : make c++17 private ggml-ci
		
			
				
	
	
		
			126 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			126 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| #include "llama.h"
 | |
| #include "common.h"
 | |
| #include "console.h"
 | |
| 
 | |
| #include "../src/unicode.h"
 | |
| 
 | |
| #include <cassert>
 | |
| #include <codecvt>
 | |
| #include <cstdio>
 | |
| #include <cstring>
 | |
| #include <locale>
 | |
| #include <string>
 | |
| #include <thread>
 | |
| #include <vector>
 | |
| #include <atomic>
 | |
| 
 | |
| int main(int argc, char ** argv) {
 | |
|     if (argc < 2) {
 | |
|         fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);
 | |
|         return 1;
 | |
|     }
 | |
| 
 | |
|     const std::string fname = argv[1];
 | |
| 
 | |
|     fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
 | |
| 
 | |
|     llama_model * model;
 | |
|     llama_context * ctx;
 | |
| 
 | |
|     llama_backend_init();
 | |
| 
 | |
|     // load the vocab
 | |
|     {
 | |
|         auto mparams = llama_model_default_params();
 | |
| 
 | |
|         mparams.vocab_only = true;
 | |
| 
 | |
|         model = llama_model_load_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_init_from_model(model, cparams);
 | |
| 
 | |
|         if (ctx == NULL) {
 | |
|             fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
 | |
|             llama_model_free(model);
 | |
|             return 1;
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     const llama_vocab * vocab = llama_model_get_vocab(model);
 | |
| 
 | |
|     //GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
 | |
|     if (llama_vocab_type(vocab) != LLAMA_VOCAB_TYPE_SPM) {
 | |
|         return 99;
 | |
|     }
 | |
| 
 | |
| #ifdef _WIN32
 | |
|     // We need this for unicode console support
 | |
|     console::init(false, false);
 | |
|     atexit([]() { console::cleanup(); });
 | |
| #endif
 | |
| 
 | |
|     const int n_vocab = llama_vocab_n_tokens(vocab);
 | |
| 
 | |
|     for (int i = 0; i < n_vocab; ++i) {
 | |
|         std::string str = common_detokenize(ctx, std::vector<int>(1, i), true);
 | |
|         std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
 | |
|         std::string check = common_detokenize(ctx, tokens);
 | |
|         if (check != str) {
 | |
|             fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",
 | |
|                 __func__, i, str.c_str(), str.length(), check.c_str(), check.length());
 | |
|             return 2;
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     // unicode
 | |
|     {
 | |
|         const int nthread = std::thread::hardware_concurrency();
 | |
| 
 | |
|         std::vector<std::thread> threads(nthread);
 | |
| 
 | |
|         std::atomic_int errcode = {};
 | |
| 
 | |
|         for (int i = 0; i < nthread; ++i) {
 | |
|             threads[i] = std::thread([i, nthread, ctx, &errcode]() {
 | |
|                 for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {
 | |
|                     if ((0x0000D800 <= cp && cp <= 0x0000DFFF) ||  // surrogates \p{Cs}
 | |
|                         (0x00040000 <= cp && cp <= 0x000E0000)) {  // undefined \p{Cn}
 | |
|                         continue;
 | |
|                     }
 | |
| 
 | |
|                     std::string str = unicode_cpt_to_utf8(cp);
 | |
|                     std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
 | |
|                     std::string check = common_detokenize(ctx, tokens);
 | |
|                     if (cp != 9601 && str != check) {
 | |
|                         fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
 | |
|                                 cp, check.c_str(), check.length(), str.c_str(), str.length());
 | |
|                         errcode = 3;
 | |
|                     }
 | |
|                 }
 | |
|             });
 | |
|         }
 | |
| 
 | |
|         for (auto & t : threads) {
 | |
|             t.join();
 | |
|         }
 | |
| 
 | |
|         if(errcode) {
 | |
|             return errcode;
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     llama_model_free(model);
 | |
|     llama_free(ctx);
 | |
| 
 | |
|     llama_backend_free();
 | |
| 
 | |
|     return 0;
 | |
| }
 |