mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-10-31 08:51:55 +00:00
16bc66d947
* llama.cpp : split llama_context_params into model and context params ggml-ci * fix metal build * fix freq_base/scale default to model value * llama-bench : keep the same model between tests when possible * move n_threads to llama_context_params, add n_threads_batch * fix mpi build * remove kv_size(), cuda scratch fixes * remove low-vram option * add n_threads_batch to system info, refactor to get_system_info() * add documentation about --threads-batch to the READMEs * llama-bench fix * main : fix rope freq/scale warning * llama.cpp : add llama_get_model common : add llama_tokenize from model * remove duplicated ctx/model functions ggml-ci * cuda : print total VRAM used
128 lines
4.0 KiB
C++
128 lines
4.0 KiB
C++
#include "llama.h"
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#include "common.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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typedef int codepoint;
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static std::string codepoint_to_utf8(codepoint cp) {
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std::string result;
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if (0x00 <= cp && cp <= 0x7f) {
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result.push_back(cp);
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} else if (0x80 <= cp && cp <= 0x7ff) {
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result.push_back(0xc0 | ((cp >> 6) & 0x1f));
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result.push_back(0x80 | (cp & 0x3f));
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} else if (0x800 <= cp && cp <= 0xffff) {
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result.push_back(0xe0 | ((cp >> 12) & 0x0f));
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result.push_back(0x80 | ((cp >> 6) & 0x3f));
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result.push_back(0x80 | (cp & 0x3f));
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} else if (0x10000 <= cp && cp <= 0x10ffff) {
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result.push_back(0xf0 | ((cp >> 18) & 0x07));
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result.push_back(0x80 | ((cp >> 12) & 0x3f));
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result.push_back(0x80 | ((cp >> 6) & 0x3f));
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result.push_back(0x80 | (cp & 0x3f));
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} else {
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throw std::invalid_argument("invalid codepoint");
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}
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return result;
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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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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_SPM);
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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_spm(ctx, std::vector<int>(1, i));
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std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
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std::string check = llama_detokenize_spm(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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for (codepoint cp = 0x0000; cp < 0xffff; ++cp) {
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if (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_spm(ctx, tokens);
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if (cp != 9601 && str != check) {
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fprintf(stderr, "%s : error: codepoint %d 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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for (codepoint cp = 0x10000; 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_spm(ctx, tokens);
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if (str != check) {
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fprintf(stderr, "%s : error: codepoint %d 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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