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	 213701b51a
			
		
	
	213701b51a
	
	
	
		
			
			* Add llama_detokenize():
  - Update header files location
  - UNKNOWN and CONTROL are 'special pieces'
  - Remove space after UNKNOWN and CONTROL
  - Refactor llama_token_to_piece()
  - Add flag: clean_up_tokenization_spaces
  - Symmetric params for llama_tokenize() and llama_detokenize()
* Update and fix tokenizer tests:
  - Using llama_detokenize()
  - Unexpected vocab type as test fail instead of error
    - Useful when automating tests:
    - If you don't know in advance the vocab type
    - Differenciate other loading errors
  - Skip unicode surrogaes and undefined
  - Gracefully exit threads
    - Using exit() is throwing random exceptions
  - Clean old known problematic codepoints
  - Minor: confusing hexadecimal codepoint
* Update bruteforce random tests
  - Add detokenizer checks
  - New generator: ascii_lr_strip
  - New generator: apostrophe
  - Add more vocabs files
  - Detokenize special tokens.
  - Replace errors with '\uFFFD' when detokenizing to 'utf-8'
  - More edge cases
  - Better detokenization results check
* Fix add_space_prefix, set false by default
* Better leading space removal
* Do not remove space when decoding special tokens
* Bugfix: custom regexs splits undefined unicode codepoints
* 'viking' detokenizer clean spaces
		
	
		
			
				
	
	
		
			123 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			123 lines
		
	
	
		
			3.5 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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| 
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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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| 
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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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| 
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|     const std::string fname = argv[1];
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| 
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|     fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
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| 
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|     llama_model * model;
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|     llama_context * ctx;
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| 
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|     llama_backend_init();
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| 
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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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| 
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|         mparams.vocab_only = true;
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| 
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|         model = llama_load_model_from_file(fname.c_str(), mparams);
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| 
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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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| 
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|         auto cparams = llama_context_default_params();
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| 
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|         ctx = llama_new_context_with_model(model, cparams);
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| 
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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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| 
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|     //GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
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|     if (llama_vocab_type(model) != LLAMA_VOCAB_TYPE_SPM) {
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|         return 99;
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|     }
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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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| 
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|     const int n_vocab = llama_n_vocab(model);
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| 
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|     for (int i = 0; i < n_vocab; ++i) {
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|         std::string str = llama_detokenize(ctx, std::vector<int>(1, i), true);
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|         std::vector<llama_token> tokens = llama_tokenize(ctx, str, false, true);
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|         std::string check = llama_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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| 
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|     // unicode
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|     {
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|         const int nthread = std::thread::hardware_concurrency();
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| 
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|         std::vector<std::thread> threads(nthread);
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| 
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|         std::atomic_int errcode = {};
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| 
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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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| 
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|                     std::string str = unicode_cpt_to_utf8(cp);
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|                     std::vector<llama_token> tokens = llama_tokenize(ctx, str, false, true);
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|                     std::string check = llama_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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| 
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|         for (auto & t : threads) {
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|             t.join();
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|         }
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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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| 
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|     llama_free_model(model);
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|     llama_free(ctx);
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| 
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|     llama_backend_free();
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| 
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|     return 0;
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| }
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