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authorMitja Felicijan <mitja.felicijan@gmail.com>2026-02-12 20:57:17 +0100
committerMitja Felicijan <mitja.felicijan@gmail.com>2026-02-12 20:57:17 +0100
commitb333b06772c89d96aacb5490d6a219fba7c09cc6 (patch)
tree211df60083a5946baa2ed61d33d8121b7e251b06 /llama.cpp/tests/test-tokenizer-1-spm.cpp
downloadllmnpc-b333b06772c89d96aacb5490d6a219fba7c09cc6.tar.gz
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Diffstat (limited to 'llama.cpp/tests/test-tokenizer-1-spm.cpp')
-rw-r--r--llama.cpp/tests/test-tokenizer-1-spm.cpp125
1 files changed, 125 insertions, 0 deletions
diff --git a/llama.cpp/tests/test-tokenizer-1-spm.cpp b/llama.cpp/tests/test-tokenizer-1-spm.cpp
new file mode 100644
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--- /dev/null
+++ b/llama.cpp/tests/test-tokenizer-1-spm.cpp
@@ -0,0 +1,125 @@
+#include "llama.h"
+#include "common.h"
+#include "console.h"
+
+#include "../src/unicode.h"
+
+#include <cassert>
+#include <codecvt>
+#include <cstdio>
+#include <cstring>
+#include <locale>
+#include <string>
+#include <thread>
+#include <vector>
+#include <atomic>
+
+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_model_load_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_init_from_model(model, cparams);
+
+ if (ctx == NULL) {
+ fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
+ llama_model_free(model);
+ return 1;
+ }
+ }
+
+ const llama_vocab * vocab = llama_model_get_vocab(model);
+
+ //GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
+ if (llama_vocab_type(vocab) != LLAMA_VOCAB_TYPE_SPM) {
+ return 99;
+ }
+
+#ifdef _WIN32
+ // We need this for unicode console support
+ console::init(false, false);
+ atexit([]() { console::cleanup(); });
+#endif
+
+ const int n_vocab = llama_vocab_n_tokens(vocab);
+
+ for (int i = 0; i < n_vocab; ++i) {
+ std::string str = common_detokenize(ctx, std::vector<int>(1, i), true);
+ std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
+ std::string check = common_detokenize(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);
+
+ std::atomic_int errcode = {};
+
+ for (int i = 0; i < nthread; ++i) {
+ threads[i] = std::thread([i, nthread, ctx, &errcode]() {
+ for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {
+ if ((0x0000D800 <= cp && cp <= 0x0000DFFF) || // surrogates \p{Cs}
+ (0x00040000 <= cp && cp <= 0x000E0000)) { // undefined \p{Cn}
+ continue;
+ }
+
+ std::string str = unicode_cpt_to_utf8(cp);
+ std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
+ std::string check = common_detokenize(ctx, tokens);
+ if (cp != 9601 && str != check) {
+ fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
+ cp, check.c_str(), check.length(), str.c_str(), str.length());
+ errcode = 3;
+ }
+ }
+ });
+ }
+
+ for (auto & t : threads) {
+ t.join();
+ }
+
+ if(errcode) {
+ return errcode;
+ }
+ }
+
+ llama_free(ctx);
+ llama_model_free(model);
+
+ llama_backend_free();
+
+ return 0;
+}