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	 daab3d7f45
			
		
	
	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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| 
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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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| 
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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(false);
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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_BPE);
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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_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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| 
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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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| 
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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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