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//static const std::map<std::string, std::vector<llama_token>> & k_tests() { | |
// static std::map<std::string, std::vector<llama_token>> _k_tests = { | |
// { "" , { }, }, | |
// { " " , { 220, }, }, | |
// { " " , { 256, }, }, | |
// { " " , { 262, }, }, | |
// { "\t" , { 197, }, }, | |
// { "\n" , { 198, }, }, | |
// { "\n\n" , { 271, }, }, | |
// { "\n\n\n" , { 1432, }, }, | |
// { "\t\n" , { 1602, }, }, | |
// { "Hello world" , { 9906, 1917, }, }, | |
// { " Hello world" , { 22691, 1917, }, }, | |
// { "Hello World" , { 9906, 4435, }, }, | |
// { " Hello World" , { 22691, 4435, }, }, | |
// { " Hello World!" , { 22691, 4435, 0, }, }, | |
// { "Hello, world!" , { 9906, 11, 1917, 0, }, }, | |
// { " Hello, world!" , { 22691, 11, 1917, 0, }, }, | |
// { " this is 🦙.cpp" , { 420, 374, 11410, 99, 247, 13, 11055, }, }, | |
// { "w048 7tuijk dsdfhu" , { 86, 23904, 220, 22, 83, 2005, 42908, 11729, 3013, 17156, }, }, | |
// { "нещо на Български" , { 79862, 102118, 13373, 64571, 34694, 3114, 112203, 80112, }, }, | |
// { "កាន់តែពិសេសអាចខលចេញ" , { 21549, 222, 98629, 241, 45358, 233, 21549, 237, 45358, 224, 21549, 244, 21549, 115, 21549, 253, 45358, 223, 21549, 253, 21549, 95, 98629, 227, 21549, 223, 21549, 249, 21549, 227, 45358, 223, 21549, 231, }, }, | |
// { "🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)", { 9468, 248, 222, 320, 8416, 8, 27623, 114, 102470, 9468, 234, 104, 31643, 320, 36773, 100166, 98634, 8, 26602, 227, 320, 3323, 43465, 430, 706, 1202, 1866, 4037, 8, }, }, | |
// { "Hello" , { 9906, }, }, | |
// { " Hello" , { 22691, }, }, | |
// { " Hello" , { 220, 22691, }, }, | |
// { " Hello" , { 256, 22691, }, }, | |
// { " Hello" , { 262, 22691, }, }, | |
// { " Hello\n Hello" , { 262, 22691, 198, 262, 22691, }, }, | |
// { " (" , { 320, }, }, | |
// { "\n =" , { 198, 284, }, }, | |
// { "' era" , { 6, 11639, }, }, | |
// { "Hello, y'all! How are you 😁 ?我想在apple工作1314151天~", { 9906, 11, 379, 65948, 0, 2650, 527, 499, 27623, 223, 949, 37046, 101067, 19000, 23182, 102301, 9263, 18136, 16, 36827, 21909, }, }, | |
// { "3" , { 18, }, }, | |
// { "33" , { 1644, }, }, | |
// { "333" , { 8765, }, }, | |
// { "3333" , { 8765, 18, }, }, | |
// { "33333" , { 8765, 1644, }, }, | |
// { "333333" , { 8765, 8765, }, }, | |
// { "3333333" , { 8765, 8765, 18, }, }, | |
// { "33333333" , { 8765, 8765, 1644, }, }, | |
// { "333333333" , { 8765, 8765, 8765, }, }, | |
// }; | |
// | |
// return _k_tests; | |
//} | |
using llama_tests = std::map<std::string, std::vector<llama_token>>; | |
static llama_tests read_tests(const std::string & fname_inp, const std::string & fname_out) { | |
llama_tests tests; | |
std::ifstream ifs_inp(fname_inp); | |
if (!ifs_inp) { | |
fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_inp.c_str()); | |
return tests; | |
} | |
std::string sraw((std::istreambuf_iterator<char>(ifs_inp)), std::istreambuf_iterator<char>()); | |
std::ifstream ifs_out(fname_out); | |
if (!ifs_out) { | |
fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_out.c_str()); | |
return tests; | |
} | |
std::vector<std::string> sout; | |
for (std::string line; std::getline(ifs_out, line);) { | |
sout.push_back(line); | |
} | |
const std::string sep = "\n__ggml_vocab_test__\n"; | |
std::vector<std::string> sinp; | |
size_t pos = 0; | |
while (pos < sraw.size()) { | |
const size_t next = sraw.find(sep, pos); | |
if (next == std::string::npos) { | |
sinp.push_back(sraw.substr(pos)); | |
break; | |
} | |
sinp.push_back(sraw.substr(pos, next - pos)); | |
pos = next + sep.size(); | |
} | |
if (sinp.size() != sout.size()) { | |
fprintf(stderr, "%s : error: input and output files have different number of tests\n", __func__); | |
return tests; | |
} | |
for (size_t i = 0; i < sinp.size(); ++i) { | |
const std::string & s = sinp[i]; | |
const std::string & o = string_strip(sout[i]); | |
std::vector<llama_token> toks; | |
size_t pos = 0; | |
while (pos < o.size()) { | |
size_t next = o.find(' ', pos); | |
if (next == std::string::npos) { | |
next = o.size(); | |
} | |
const std::string stok = o.substr(pos, next - pos); | |
toks.push_back(std::stoi(stok)); | |
pos = next + 1; | |
} | |
tests[s] = toks; | |
} | |
return tests; | |
} | |
int main(int argc, char **argv) { | |
if (argc < 2) { | |
fprintf(stderr, "Usage: %s vocab-file [text-file]\n", argv[0]); | |
return 1; | |
} | |
const std::string fname = argv[1]; | |
const std::string fname_inp = fname + ".inp"; | |
const std::string fname_out = fname + ".out"; | |
std::string fname_text; | |
if (argc > 2) { | |
fname_text = argv[2]; | |
} | |
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; | |
} | |
} | |
// We need this for unicode console support | |
console::init(false, false); | |
atexit([]() { console::cleanup(); }); | |
bool success = true; | |
const auto k_tests = [&]() -> llama_tests { | |
if (!fname_text.empty()) { | |
return {}; | |
} | |
const auto res = read_tests(fname_inp, fname_out); | |
if (res.empty()) { | |
fprintf(stderr, "%s : error: no tests found\n", __func__); | |
exit(1); | |
} | |
return res; | |
}(); | |
const bool add_special = false; | |
// multi-threaded tokenization | |
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]() { | |
for (const auto & test_kv : k_tests) { | |
const std::vector<llama_token> res = common_tokenize(ctx, test_kv.first, add_special, false); | |
// here only print the result of the first thread | |
// because the other threads are running the same tests | |
if (i != 0) { | |
continue; | |
} | |
printf("\n"); | |
printf("src: '%s'\n", test_kv.first.c_str()); | |
printf("res: '%s'\n", common_detokenize(ctx, res).c_str()); | |
printf("tok: "); | |
for (const auto & tok : res) { | |
printf("%d ", tok); | |
} | |
printf("\n"); | |
bool correct = res.size() == test_kv.second.size(); | |
for (int i = 0; i < (int) res.size() && correct; ++i) { | |
if (test_kv.second[i] != res[i]) { | |
correct = false; | |
} | |
} | |
if (!correct) { | |
fprintf(stderr, "%s : failed test: '%s'\n", __func__, test_kv.first.c_str()); | |
fprintf(stderr, "%s : detokenized to: '%s' instead of '%s'\n", __func__, | |
common_detokenize(ctx, res).c_str(), | |
common_detokenize(ctx, test_kv.second).c_str()); | |
fprintf(stderr, "%s : expected tokens: ", __func__); | |
for (const auto & t : test_kv.second) { | |
fprintf(stderr, "%6d '%s', ", t, common_token_to_piece(ctx, t).c_str()); | |
} | |
fprintf(stderr, "\n"); | |
fprintf(stderr, "%s : got tokens: ", __func__); | |
for (const auto & t : res) { | |
fprintf(stderr, "%6d '%s', ", t, common_token_to_piece(ctx, t).c_str()); | |
} | |
fprintf(stderr, "\n"); | |
success = false; | |
} | |
} | |
}); | |
} | |
for (int i = 0; i < nthread; i++) { | |
threads[i].join(); | |
} | |
// single threaded tokenization | |
if (!fname_text.empty()) { | |
fprintf(stderr, "%s : tokenizing: '%s'\n", __func__, fname_text.c_str()); | |
std::string text; | |
{ | |
std::ifstream ifs(fname_text); | |
if (!ifs) { | |
fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_text.c_str()); | |
return 1; | |
} | |
text = std::string(std::istreambuf_iterator<char>(ifs), std::istreambuf_iterator<char>()); | |
} | |
fprintf(stderr, "%s : text size: %zu\n", __func__, text.size()); | |
std::vector<llama_token> res; | |
{ | |
const auto t_start = ggml_time_us(); | |
res = common_tokenize(ctx, text, add_special, false); | |
const auto t_end = ggml_time_us(); | |
fprintf(stderr, "%s : tokenized in %.3f ms (cpp)\n", __func__, (t_end - t_start) / 1000.0); | |
} | |
fprintf(stderr, "%s : tokens: %zu\n", __func__, res.size()); | |
{ | |
const std::string fname_out = fname_text + ".tokcpp"; | |
std::ofstream ofs(fname_out); | |
if (!ofs) { | |
fprintf(stderr, "%s : error: could not open file '%s'\n", __func__, fname_out.c_str()); | |
return 1; | |
} | |
for (const auto & tok : res) { | |
//ofs << tok << " '" << string_strip(llama_detokenize(ctx, std::vector<int>{tok})) << "'" << std::endl; | |
ofs << tok << "\n"; | |
} | |
} | |
fprintf(stderr, "%s : tokens written to '%s'\n", __func__, (fname_text + ".tokcpp").c_str()); | |
} | |
llama_free_model(model); | |
llama_free(ctx); | |
llama_backend_free(); | |
printf("\n"); | |
printf("Tests %s\n", success ? "passed" : "failed"); | |
return success ? 0 : 3; | |
} | |