1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
|
#include "lm/enumerate_vocab.hh"
#include "lm/model.hh"
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <string>
#include <ctype.h>
#if !defined(_WIN32) && !defined(_WIN64)
#include <sys/resource.h>
#include <sys/time.h>
#endif
#if !defined(_WIN32) && !defined(_WIN64)
float FloatSec(const struct timeval &tv) {
return static_cast<float>(tv.tv_sec) + (static_cast<float>(tv.tv_usec) / 1000000000.0);
}
#endif
void PrintUsage(const char *message) {
#if !defined(_WIN32) && !defined(_WIN64)
struct rusage usage;
if (getrusage(RUSAGE_SELF, &usage)) {
perror("getrusage");
return;
}
std::cerr << message;
std::cerr << "user\t" << FloatSec(usage.ru_utime) << "\nsys\t" << FloatSec(usage.ru_stime) << '\n';
// Linux doesn't set memory usage :-(.
std::ifstream status("/proc/self/status", std::ios::in);
std::string line;
while (getline(status, line)) {
if (!strncmp(line.c_str(), "VmRSS:\t", 7)) {
std::cerr << "rss " << (line.c_str() + 7) << '\n';
break;
}
}
#endif
}
template <class Model> void Query(const Model &model, bool sentence_context) {
PrintUsage("Loading statistics:\n");
typename Model::State state, out;
lm::FullScoreReturn ret;
std::string word;
while (std::cin) {
state = sentence_context ? model.BeginSentenceState() : model.NullContextState();
float total = 0.0;
bool got = false;
unsigned int oov = 0;
while (std::cin >> word) {
got = true;
lm::WordIndex vocab = model.GetVocabulary().Index(word);
if (vocab == 0) ++oov;
ret = model.FullScore(state, vocab, out);
total += ret.prob;
std::cout << word << '=' << vocab << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << '\t';
state = out;
char c;
while (true) {
c = std::cin.get();
if (!std::cin) break;
if (c == '\n') break;
if (!isspace(c)) {
std::cin.unget();
break;
}
}
if (c == '\n') break;
}
if (!got && !std::cin) break;
if (sentence_context) {
ret = model.FullScore(state, model.GetVocabulary().EndSentence(), out);
total += ret.prob;
std::cout << "</s>=" << model.GetVocabulary().EndSentence() << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << '\t';
}
std::cout << "Total: " << total << " OOV: " << oov << '\n';
}
PrintUsage("After queries:\n");
}
template <class Model> void Query(const char *name) {
lm::ngram::Config config;
Model model(name, config);
Query(model);
}
int main(int argc, char *argv[]) {
if (!(argc == 2 || (argc == 3 && !strcmp(argv[2], "null")))) {
std::cerr << "Usage: " << argv[0] << " lm_file [null]" << std::endl;
std::cerr << "Input is wrapped in <s> and </s> unless null is passed." << std::endl;
return 1;
}
try {
bool sentence_context = (argc == 2);
lm::ngram::ModelType model_type;
if (lm::ngram::RecognizeBinary(argv[1], model_type)) {
switch(model_type) {
case lm::ngram::HASH_PROBING:
Query<lm::ngram::ProbingModel>(argv[1], sentence_context);
break;
case lm::ngram::TRIE_SORTED:
Query<lm::ngram::TrieModel>(argv[1], sentence_context);
break;
case lm::ngram::QUANT_TRIE_SORTED:
Query<lm::ngram::QuantTrieModel>(argv[1], sentence_context);
break;
case lm::ngram::ARRAY_TRIE_SORTED:
Query<lm::ngram::ArrayTrieModel>(argv[1], sentence_context);
break;
case lm::ngram::QUANT_ARRAY_TRIE_SORTED:
Query<lm::ngram::QuantArrayTrieModel>(argv[1], sentence_context);
break;
case lm::ngram::HASH_SORTED:
default:
std::cerr << "Unrecognized kenlm model type " << model_type << std::endl;
abort();
}
} else {
Query<lm::ngram::ProbingModel>(argv[1], sentence_context);
}
PrintUsage("Total time including destruction:\n");
} catch (const std::exception &e) {
std::cerr << e.what() << std::endl;
return 1;
}
return 0;
}
|
