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
|
#include "lm/value_build.hh"
#include "lm/model.hh"
#include "lm/read_arpa.hh"
namespace lm {
namespace ngram {
template <class Model> LowerRestBuild<Model>::LowerRestBuild(const Config &config, unsigned int order, const typename Model::Vocabulary &vocab) {
UTIL_THROW_IF(config.rest_lower_files.size() != order - 1, ConfigException, "This model has order " << order << " so there should be " << (order - 1) << " lower-order models for rest cost purposes.");
Config for_lower = config;
for_lower.write_mmap = NULL;
for_lower.rest_lower_files.clear();
// Unigram models aren't supported, so this is a custom loader.
// TODO: optimize the unigram loading?
{
util::FilePiece uni(config.rest_lower_files[0].c_str());
std::vector<uint64_t> number;
ReadARPACounts(uni, number);
UTIL_THROW_IF(number.size() != 1, FormatLoadException, "Expected the unigram model to have order 1, not " << number.size());
ReadNGramHeader(uni, 1);
unigrams_.resize(number[0]);
unigrams_[0] = config.unknown_missing_logprob;
PositiveProbWarn warn;
for (uint64_t i = 0; i < number[0]; ++i) {
WordIndex w;
Prob entry;
ReadNGram(uni, 1, vocab, &w, entry, warn);
unigrams_[w] = entry.prob;
}
}
try {
for (unsigned int i = 2; i < order; ++i) {
models_.push_back(new Model(config.rest_lower_files[i - 1].c_str(), for_lower));
UTIL_THROW_IF(models_.back()->Order() != i, FormatLoadException, "Lower order file " << config.rest_lower_files[i-1] << " should have order " << i);
}
} catch (...) {
for (typename std::vector<const Model*>::const_iterator i = models_.begin(); i != models_.end(); ++i) {
delete *i;
}
models_.clear();
throw;
}
// TODO: force/check same vocab.
}
template <class Model> LowerRestBuild<Model>::~LowerRestBuild() {
for (typename std::vector<const Model*>::const_iterator i = models_.begin(); i != models_.end(); ++i) {
delete *i;
}
}
template class LowerRestBuild<ProbingModel>;
} // namespace ngram
} // namespace lm
|
