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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); | |
// We need this for unicode console support | |
console::init(false, false); | |
atexit([]() { console::cleanup(); }); | |
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; | |
} | |