mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-02 09:12:03 +00:00
83796e62bc
* llama : refactor unicode stuff ggml-ci * unicode : names * make : fix c++ compiler * unicode : names * unicode : straighten tables * zig : fix build * unicode : put nfd normalization behind API ggml-ci * swift : fix build * unicode : add BOM * unicode : add <cstdint> ggml-ci * unicode : pass as cpts as const ref
112 lines
3.1 KiB
C++
112 lines
3.1 KiB
C++
#include "llama.h"
|
|
#include "common.h"
|
|
#include "unicode.h"
|
|
#include "console.h"
|
|
|
|
#include <cassert>
|
|
#include <codecvt>
|
|
#include <cstdio>
|
|
#include <cstring>
|
|
#include <locale>
|
|
#include <string>
|
|
#include <thread>
|
|
#include <vector>
|
|
|
|
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_load_model_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_new_context_with_model(model, cparams);
|
|
|
|
if (ctx == NULL) {
|
|
fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
|
|
llama_free_model(model);
|
|
return 1;
|
|
}
|
|
}
|
|
|
|
GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
|
|
|
|
#ifdef _WIN32
|
|
// We need this for unicode console support
|
|
console::init(false, false);
|
|
atexit([]() { console::cleanup(); });
|
|
#endif
|
|
|
|
const int n_vocab = llama_n_vocab(model);
|
|
|
|
for (int i = 0; i < n_vocab; ++i) {
|
|
std::string str = llama_detokenize_spm(ctx, std::vector<int>(1, i));
|
|
std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
|
|
std::string check = llama_detokenize_spm(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);
|
|
|
|
for (int i = 0; i < nthread; ++i) {
|
|
threads[i] = std::thread([i, nthread, ctx]() {
|
|
for (uint32_t cp = i; cp < 0x0010ffff; cp += nthread) {
|
|
if (cp >= 0xd800 && cp <= 0xdfff) {
|
|
continue;
|
|
}
|
|
|
|
std::string str = unicode_cpt_to_utf8(cp);
|
|
std::vector<llama_token> tokens = llama_tokenize(ctx, str, false);
|
|
std::string check = llama_detokenize_spm(ctx, tokens);
|
|
if (cp != 9601 && str != check) {
|
|
fprintf(stderr, "error: codepoint %x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
|
|
cp, check.c_str(), check.length(), str.c_str(), str.length());
|
|
std::exit(3);
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
for (auto & t : threads) {
|
|
t.join();
|
|
}
|
|
}
|
|
|
|
llama_free_model(model);
|
|
llama_free(ctx);
|
|
|
|
llama_backend_free();
|
|
|
|
return 0;
|
|
}
|