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
4.8 KiB155 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 || argc > 3) {
19        fprintf(stderr, "Usage: %s <vocab-file> [--ignore-merges]\n", argv[0]);
20        return 1;
21    }
22
23    const std::string fname = argv[1];
24    bool ignore_merges = false;
25    if (argc == 3) {
26        if (std::strcmp(argv[2], "--ignore-merges") != 0) {
27            fprintf(stderr, "Usage: %s <vocab-file> [--ignore-merges]\n", argv[0]);
28            return 1;
29        }
30        ignore_merges = true;
31    }
32
33    fprintf(stderr, "%s : reading vocab from: '%s'\n", __func__, fname.c_str());
34
35    if (ignore_merges) {
36        fprintf(stderr, "%s : ignoring merges for tokens inside vocab\n", __func__);
37    }
38
39    llama_model * model;
40    llama_context * ctx;
41
42    llama_backend_init();
43
44    // load the vocab
45    {
46        auto mparams = llama_model_default_params();
47
48        mparams.vocab_only = true;
49
50        model = llama_model_load_from_file(fname.c_str(), mparams);
51
52        if (model == NULL) {
53            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
54            return 1;
55        }
56
57        auto cparams = llama_context_default_params();
58
59        ctx = llama_init_from_model(model, cparams);
60
61        if (ctx == NULL) {
62            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, fname.c_str());
63            llama_model_free(model);
64            return 1;
65        }
66    }
67
68    const llama_vocab * vocab = llama_model_get_vocab(model);
69
70    //GGML_ASSERT(llama_vocab_type(vocab) == LLAMA_VOCAB_TYPE_BPE);
71    if (llama_vocab_type(vocab) != LLAMA_VOCAB_TYPE_BPE) {
72        return 99;
73    }
74
75#ifdef _WIN32
76    // We need this for unicode console support
77    console::init(false, false);
78    atexit([]() { console::cleanup(); });
79#endif
80
81    const int n_vocab = llama_vocab_n_tokens(vocab);
82
83    for (int i = 0; i < n_vocab; ++i) {
84        std::string str = common_detokenize(ctx, std::vector<int>(1, i));
85        try {
86            auto cps = unicode_cpts_from_utf8(str);
87            std::vector<llama_token> tokens = common_tokenize(ctx, str, false, true);
88            if (ignore_merges && tokens.size() > 1) {
89                fprintf(stderr,
90                        "%s : error: token %d detokenizes to '%s'(%zu) but "
91                        "tokenization of this to multiple tokens: [",
92                        __func__, i, str.c_str(), str.length());
93                fprintf(stderr, "%d", tokens[0]);
94                for (size_t i = 1; i < tokens.size(); i++) {
95                    fprintf(stderr, ", %d", tokens[i]);
96                }
97                fprintf(stderr, "]\n");
98                return 2;
99            }
100            std::string check = common_detokenize(ctx, tokens);
101            if (check != str) {
102                fprintf(stderr, "%s : error: token %d detokenizes to '%s'(%zu) but tokenization of this detokenizes to '%s'(%zu)\n",
103                    __func__, i, str.c_str(), str.length(), check.c_str(), check.length());
104                return 2;
105            }
106        }
107        catch (const std::invalid_argument &) {
108            //fprintf(stderr, "%s : info: utf8 conversion %d '%s'\n", __func__, i, str.c_str());
109        }
110    }
111
112    // unicode
113    {
114        const int nthread = std::thread::hardware_concurrency();
115
116        std::vector<std::thread> threads(nthread);
117
118        std::atomic_int errcode = {};
119
120        for (int i = 0; i < nthread; ++i) {
121            threads[i] = std::thread([i, nthread, ctx, &errcode]() {
122                for (uint32_t cp = i; !errcode && cp < 0x00110000; cp += nthread) {
123                    if ((0x0000D800 <= cp && cp <= 0x0000DFFF) ||  // surrogates \p{Cs}
124                        (0x00040000 <= cp && cp <= 0x000E0000)) {  // undefined  \p{Cn}
125                        continue;
126                    }
127
128                    std::string str = unicode_cpt_to_utf8(cp);
129                    std::vector<llama_token> tokens = common_tokenize(ctx, str, false);
130                    std::string check = common_detokenize(ctx, tokens);
131                    if (cp != 9601 && str != check) {
132                        fprintf(stderr, "error: codepoint 0x%x detokenizes to '%s'(%zu) instead of '%s'(%zu)\n",
133                                cp, check.c_str(), check.length(), str.c_str(), str.length());
134                        errcode = 3;
135                    }
136                }
137            });
138        }
139
140        for (auto & t : threads) {
141            t.join();
142        }
143
144        if (errcode) {
145            return errcode;
146        }
147    }
148
149    llama_free(ctx);
150    llama_model_free(model);
151
152    llama_backend_free();
153
154    return 0;
155}