#include "llama.h" #include #include #include #include static const std::map> k_tests = { { "Hello World", { 1, 10994, 2787, }, }, { " Hello World", { 1, 15043, 2787, }, }, { " Hello World!", { 1, 15043, 2787, 29991, }, }, { " this is 🦙.cpp", { 1, 445, 338, 29871, 243, 162, 169, 156, 29889, 8223, }, }, { "w048 7tuijk dsdfhu", { 1, 29893, 29900, 29946, 29947, 29871, 29955, 9161, 13535, 18031, 2176, 6905, }, }, { "нещо на Български", { 1, 821, 4851, 665, 1386, 29713, 1305, }, }, }; int main(int argc, char **argv) { if (argc < 2) { fprintf(stderr, "Usage: %s \n", argv[0]); return 1; } const std::string fname = argv[1]; fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str()); llama_context * ctx; // load the vocab { auto lparams = llama_context_default_params(); lparams.vocab_only = true; ctx = llama_init_from_file(fname.c_str(), lparams); if (ctx == NULL) { fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str()); return 1; } } const int n_vocab = llama_n_vocab(ctx); if (n_vocab != 32000) { fprintf(stderr, "%s : expected 32000 tokens, got %d\n", __func__, n_vocab); return 2; } for (const auto & test_kv : k_tests) { std::vector res(test_kv.first.size()); const int n = llama_tokenize(ctx, test_kv.first.c_str(), res.data(), res.size(), true); res.resize(n); bool correct = res.size() == test_kv.second.size(); for (int i = 0; i < (int) res.size() && correct; ++i) { if (res[i] != test_kv.second[i]) { correct = false; } } if (!correct) { fprintf(stderr, "%s : failed test: '%s'\n", __func__, test_kv.first.c_str()); fprintf(stderr, "%s : expected tokens: ", __func__); for (const auto & t : test_kv.second) { fprintf(stderr, "%6d, ", t); } fprintf(stderr, "\n"); fprintf(stderr, "%s : got tokens: ", __func__); for (const auto & t : res) { fprintf(stderr, "%6d, ", t); } fprintf(stderr, "\n"); return 3; } } return 0; }