char-fork/llama.cpp

git clone https://git.t4t.associates/char-fork/llama.cpp

Johannes Gäßlertool/ex/tests: consistently free ctx, then model (#18168)147a52163

char/aliceai-t5-moe
brancheschar/aliceai-t5-moeall refs →
3.6 KiB125 linesraw
1#include "llama.h"
2#include "common.h"
3#include "console.h"
4
5#include "../src/unicode.h"
6
7#include <cassert>
8#include <codecvt>
9#include <cstdio>
10#include <cstring>
11#include <locale>
12#include <string>
13#include <thread>
14#include <vector>
15#include <atomic>
16
17int main(int argc, char ** argv) {
18    if (argc < 2) {
19        fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);
20        return 1;
21    }
22
23    const std::string fname = argv[1];
24
25    fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
26
27    llama_model * model;
28    llama_context * ctx;
29
30    llama_backend_init();
31
32    // load the vocab
33    {
34        auto mparams = llama_model_default_params();
35
36        mparams.vocab_only = true;
37
38        model = llama_model_load_from_file(fname.c_str(), mparams);
39
40        if (model == NULL) {
41            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
42            return 1;
43        }
44
45        auto cparams = llama_context_default_params();
46
47        ctx = llama_init_from_model(model, cparams);
48
49        if (ctx == NULL) {
50            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
51            llama_model_free(model);
52            return 1;
53        }
54    }
55
56    const llama_vocab * vocab = llama_model_get_vocab(model);
57
58    //GGML_ASSERT(llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
59    if (llama_vocab_type(vocab) != LLAMA_VOCAB_TYPE_SPM) {
60        return 99;
61    }
62
63#ifdef _WIN32
64    // We need this for unicode console support
65    console::init(false, false);
66    atexit([]() { console::cleanup(); });
67#endif
68
69    const int n_vocab = llama_vocab_n_tokens(vocab);
70
71    for (int i = 0; i < n_vocab; ++i) {
72        std::string str = common_detokenize(ctx, std::vector<int>(1, i), true);
73        std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
74        std::string check = common_detokenize(ctx, tokens);
75        if (check != str) {
76            fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",
77                __func__, i, str.c_str(), str.length(), check.c_str(), check.length());
78            return 2;
79        }
80    }
81
82    // unicode
83    {
84        const int nthread = std::thread::hardware_concurrency();
85
86        std::vector<std::thread> threads(nthread);
87
88        std::atomic_int errcode = {};
89
90        for (int i = 0; i < nthread; ++i) {
91            threads[i] = std::thread([i, nthread, ctx, &errcode]() {
92                for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {
93                    if ((0x0000D800 <= cp && cp <= 0x0000DFFF) ||  // surrogates \p{Cs}
94                        (0x00040000 <= cp && cp <= 0x000E0000)) {  // undefined \p{Cn}
95                        continue;
96                    }
97
98                    std::string str = unicode_cpt_to_utf8(cp);
99                    std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
100                    std::string check = common_detokenize(ctx, tokens);
101                    if (cp != 9601 && str != check) {
102                        fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
103                                cp, check.c_str(), check.length(), str.c_str(), str.length());
104                        errcode = 3;
105                    }
106                }
107            });
108        }
109
110        for (auto & t : threads) {
111            t.join();
112        }
113
114        if(errcode) {
115            return errcode;
116        }
117    }
118
119    llama_free(ctx);
120    llama_model_free(model);
121
122    llama_backend_free();
123
124    return 0;
125}