peacock-data-public-datasets-idc-temp-code
/
cc-multilingual-main
/cc_net
/third_party
/kenlm
/lm
/search_trie.cc
/* This is where the trie is built. It's on-disk. */ | |
namespace lm { | |
namespace ngram { | |
namespace trie { | |
namespace { | |
void ReadOrThrow(FILE *from, void *data, size_t size) { | |
UTIL_THROW_IF(1 != std::fread(data, size, 1, from), util::ErrnoException, "Short read"); | |
} | |
int Compare(unsigned char order, const void *first_void, const void *second_void) { | |
const WordIndex *first = reinterpret_cast<const WordIndex*>(first_void), *second = reinterpret_cast<const WordIndex*>(second_void); | |
const WordIndex *end = first + order; | |
for (; first != end; ++first, ++second) { | |
if (*first < *second) return -1; | |
if (*first > *second) return 1; | |
} | |
return 0; | |
} | |
struct ProbPointer { | |
unsigned char array; | |
uint64_t index; | |
}; | |
// Array of n-grams and float indices. | |
class BackoffMessages { | |
public: | |
void Init(std::size_t entry_size) { | |
current_ = NULL; | |
allocated_ = NULL; | |
entry_size_ = entry_size; | |
} | |
void Add(const WordIndex *to, ProbPointer index) { | |
while (current_ + entry_size_ > allocated_) { | |
std::size_t allocated_size = allocated_ - (uint8_t*)backing_.get(); | |
Resize(std::max<std::size_t>(allocated_size * 2, entry_size_)); | |
} | |
memcpy(current_, to, entry_size_ - sizeof(ProbPointer)); | |
*reinterpret_cast<ProbPointer*>(current_ + entry_size_ - sizeof(ProbPointer)) = index; | |
current_ += entry_size_; | |
} | |
void Apply(float *const *const base, FILE *unigrams) { | |
FinishedAdding(); | |
if (current_ == allocated_) return; | |
rewind(unigrams); | |
ProbBackoff weights; | |
WordIndex unigram = 0; | |
ReadOrThrow(unigrams, &weights, sizeof(weights)); | |
for (; current_ != allocated_; current_ += entry_size_) { | |
const WordIndex &cur_word = *reinterpret_cast<const WordIndex*>(current_); | |
for (; unigram < cur_word; ++unigram) { | |
ReadOrThrow(unigrams, &weights, sizeof(weights)); | |
} | |
if (!HasExtension(weights.backoff)) { | |
weights.backoff = kExtensionBackoff; | |
UTIL_THROW_IF(fseek(unigrams, -sizeof(weights), SEEK_CUR), util::ErrnoException, "Seeking backwards to denote unigram extension failed."); | |
util::WriteOrThrow(unigrams, &weights, sizeof(weights)); | |
} | |
const ProbPointer &write_to = *reinterpret_cast<const ProbPointer*>(current_ + sizeof(WordIndex)); | |
base[write_to.array][write_to.index] += weights.backoff; | |
} | |
backing_.reset(); | |
} | |
void Apply(float *const *const base, RecordReader &reader) { | |
FinishedAdding(); | |
if (current_ == allocated_) return; | |
// We'll also use the same buffer to record messages to blanks that they extend. | |
WordIndex *extend_out = reinterpret_cast<WordIndex*>(current_); | |
const unsigned char order = (entry_size_ - sizeof(ProbPointer)) / sizeof(WordIndex); | |
for (reader.Rewind(); reader && (current_ != allocated_); ) { | |
switch (Compare(order, reader.Data(), current_)) { | |
case -1: | |
++reader; | |
break; | |
case 1: | |
// Message but nobody to receive it. Write it down at the beginning of the buffer so we can inform this blank that it extends. | |
for (const WordIndex *w = reinterpret_cast<const WordIndex *>(current_); w != reinterpret_cast<const WordIndex *>(current_) + order; ++w, ++extend_out) *extend_out = *w; | |
current_ += entry_size_; | |
break; | |
case 0: | |
float &backoff = reinterpret_cast<ProbBackoff*>((uint8_t*)reader.Data() + order * sizeof(WordIndex))->backoff; | |
if (!HasExtension(backoff)) { | |
backoff = kExtensionBackoff; | |
reader.Overwrite(&backoff, sizeof(float)); | |
} else { | |
const ProbPointer &write_to = *reinterpret_cast<const ProbPointer*>(current_ + entry_size_ - sizeof(ProbPointer)); | |
base[write_to.array][write_to.index] += backoff; | |
} | |
current_ += entry_size_; | |
break; | |
} | |
} | |
// Now this is a list of blanks that extend right. | |
entry_size_ = sizeof(WordIndex) * order; | |
Resize(sizeof(WordIndex) * (extend_out - (const WordIndex*)backing_.get())); | |
current_ = (uint8_t*)backing_.get(); | |
} | |
// Call after Apply | |
bool Extends(unsigned char order, const WordIndex *words) { | |
if (current_ == allocated_) return false; | |
assert(order * sizeof(WordIndex) == entry_size_); | |
while (true) { | |
switch(Compare(order, words, current_)) { | |
case 1: | |
current_ += entry_size_; | |
if (current_ == allocated_) return false; | |
break; | |
case -1: | |
return false; | |
case 0: | |
return true; | |
} | |
} | |
} | |
private: | |
void FinishedAdding() { | |
Resize(current_ - (uint8_t*)backing_.get()); | |
// Sort requests in same order as files. | |
util::SizedSort(backing_.get(), current_, entry_size_, EntryCompare((entry_size_ - sizeof(ProbPointer)) / sizeof(WordIndex))); | |
current_ = (uint8_t*)backing_.get(); | |
} | |
void Resize(std::size_t to) { | |
std::size_t current = current_ - (uint8_t*)backing_.get(); | |
backing_.call_realloc(to); | |
current_ = (uint8_t*)backing_.get() + current; | |
allocated_ = (uint8_t*)backing_.get() + to; | |
} | |
util::scoped_malloc backing_; | |
uint8_t *current_, *allocated_; | |
std::size_t entry_size_; | |
}; | |
const float kBadProb = std::numeric_limits<float>::infinity(); | |
class SRISucks { | |
public: | |
SRISucks() { | |
for (BackoffMessages *i = messages_; i != messages_ + KENLM_MAX_ORDER - 1; ++i) | |
i->Init(sizeof(ProbPointer) + sizeof(WordIndex) * (i - messages_ + 1)); | |
} | |
void Send(unsigned char begin, unsigned char order, const WordIndex *to, float prob_basis) { | |
assert(prob_basis != kBadProb); | |
ProbPointer pointer; | |
pointer.array = order - 1; | |
pointer.index = values_[order - 1].size(); | |
for (unsigned char i = begin; i < order; ++i) { | |
messages_[i - 1].Add(to, pointer); | |
} | |
values_[order - 1].push_back(prob_basis); | |
} | |
void ObtainBackoffs(unsigned char total_order, FILE *unigram_file, RecordReader *reader) { | |
for (unsigned char i = 0; i < KENLM_MAX_ORDER - 1; ++i) { | |
it_[i] = values_[i].empty() ? NULL : &*values_[i].begin(); | |
} | |
messages_[0].Apply(it_, unigram_file); | |
BackoffMessages *messages = messages_ + 1; | |
const RecordReader *end = reader + total_order - 2 /* exclude unigrams and longest order */; | |
for (; reader != end; ++messages, ++reader) { | |
messages->Apply(it_, *reader); | |
} | |
} | |
ProbBackoff GetBlank(unsigned char total_order, unsigned char order, const WordIndex *indices) { | |
assert(order > 1); | |
ProbBackoff ret; | |
ret.prob = *(it_[order - 1]++); | |
ret.backoff = ((order != total_order - 1) && messages_[order - 1].Extends(order, indices)) ? kExtensionBackoff : kNoExtensionBackoff; | |
return ret; | |
} | |
const std::vector<float> &Values(unsigned char order) const { | |
return values_[order - 1]; | |
} | |
private: | |
// This used to be one array. Then I needed to separate it by order for quantization to work. | |
std::vector<float> values_[KENLM_MAX_ORDER - 1]; | |
BackoffMessages messages_[KENLM_MAX_ORDER - 1]; | |
float *it_[KENLM_MAX_ORDER - 1]; | |
}; | |
class FindBlanks { | |
public: | |
FindBlanks(unsigned char order, const ProbBackoff *unigrams, SRISucks &messages) | |
: counts_(order), unigrams_(unigrams), sri_(messages) {} | |
float UnigramProb(WordIndex index) const { | |
return unigrams_[index].prob; | |
} | |
void Unigram(WordIndex /*index*/) { | |
++counts_[0]; | |
} | |
void MiddleBlank(const unsigned char order, const WordIndex *indices, unsigned char lower, float prob_basis) { | |
sri_.Send(lower, order, indices + 1, prob_basis); | |
++counts_[order - 1]; | |
} | |
void Middle(const unsigned char order, const void * /*data*/) { | |
++counts_[order - 1]; | |
} | |
void Longest(const void * /*data*/) { | |
++counts_.back(); | |
} | |
const std::vector<uint64_t> &Counts() const { | |
return counts_; | |
} | |
private: | |
std::vector<uint64_t> counts_; | |
const ProbBackoff *unigrams_; | |
SRISucks &sri_; | |
}; | |
// Phase to actually write n-grams to the trie. | |
template <class Quant, class Bhiksha> class WriteEntries { | |
public: | |
WriteEntries(RecordReader *contexts, const Quant &quant, UnigramValue *unigrams, BitPackedMiddle<Bhiksha> *middle, BitPackedLongest &longest, unsigned char order, SRISucks &sri) : | |
contexts_(contexts), | |
quant_(quant), | |
unigrams_(unigrams), | |
middle_(middle), | |
longest_(longest), | |
bigram_pack_((order == 2) ? static_cast<BitPacked&>(longest_) : static_cast<BitPacked&>(*middle_)), | |
order_(order), | |
sri_(sri) {} | |
float UnigramProb(WordIndex index) const { return unigrams_[index].weights.prob; } | |
void Unigram(WordIndex word) { | |
unigrams_[word].next = bigram_pack_.InsertIndex(); | |
} | |
void MiddleBlank(const unsigned char order, const WordIndex *indices, unsigned char /*lower*/, float /*prob_base*/) { | |
ProbBackoff weights = sri_.GetBlank(order_, order, indices); | |
typename Quant::MiddlePointer(quant_, order - 2, middle_[order - 2].Insert(indices[order - 1])).Write(weights.prob, weights.backoff); | |
} | |
void Middle(const unsigned char order, const void *data) { | |
RecordReader &context = contexts_[order - 1]; | |
const WordIndex *words = reinterpret_cast<const WordIndex*>(data); | |
ProbBackoff weights = *reinterpret_cast<const ProbBackoff*>(words + order); | |
if (context && !memcmp(data, context.Data(), sizeof(WordIndex) * order)) { | |
SetExtension(weights.backoff); | |
++context; | |
} | |
typename Quant::MiddlePointer(quant_, order - 2, middle_[order - 2].Insert(words[order - 1])).Write(weights.prob, weights.backoff); | |
} | |
void Longest(const void *data) { | |
const WordIndex *words = reinterpret_cast<const WordIndex*>(data); | |
typename Quant::LongestPointer(quant_, longest_.Insert(words[order_ - 1])).Write(reinterpret_cast<const Prob*>(words + order_)->prob); | |
} | |
private: | |
RecordReader *contexts_; | |
const Quant &quant_; | |
UnigramValue *const unigrams_; | |
BitPackedMiddle<Bhiksha> *const middle_; | |
BitPackedLongest &longest_; | |
BitPacked &bigram_pack_; | |
const unsigned char order_; | |
SRISucks &sri_; | |
}; | |
struct Gram { | |
Gram(const WordIndex *in_begin, unsigned char order) : begin(in_begin), end(in_begin + order) {} | |
const WordIndex *begin, *end; | |
// For queue, this is the direction we want. | |
bool operator<(const Gram &other) const { | |
return std::lexicographical_compare(other.begin, other.end, begin, end); | |
} | |
}; | |
template <class Doing> class BlankManager { | |
public: | |
BlankManager(unsigned char total_order, Doing &doing) : total_order_(total_order), been_length_(0), doing_(doing) { | |
for (float *i = basis_; i != basis_ + KENLM_MAX_ORDER - 1; ++i) *i = kBadProb; | |
} | |
void Visit(const WordIndex *to, unsigned char length, float prob) { | |
basis_[length - 1] = prob; | |
unsigned char overlap = std::min<unsigned char>(length - 1, been_length_); | |
const WordIndex *cur; | |
WordIndex *pre; | |
for (cur = to, pre = been_; cur != to + overlap; ++cur, ++pre) { | |
if (*pre != *cur) break; | |
} | |
if (cur == to + length - 1) { | |
*pre = *cur; | |
been_length_ = length; | |
return; | |
} | |
// There are blanks to insert starting with order blank. | |
unsigned char blank = cur - to + 1; | |
UTIL_THROW_IF(blank == 1, FormatLoadException, "Missing a unigram that appears as context."); | |
const float *lower_basis; | |
for (lower_basis = basis_ + blank - 2; *lower_basis == kBadProb; --lower_basis) {} | |
unsigned char based_on = lower_basis - basis_ + 1; | |
for (; cur != to + length - 1; ++blank, ++cur, ++pre) { | |
assert(*lower_basis != kBadProb); | |
doing_.MiddleBlank(blank, to, based_on, *lower_basis); | |
*pre = *cur; | |
// Mark that the probability is a blank so it shouldn't be used as the basis for a later n-gram. | |
basis_[blank - 1] = kBadProb; | |
} | |
*pre = *cur; | |
been_length_ = length; | |
} | |
private: | |
const unsigned char total_order_; | |
WordIndex been_[KENLM_MAX_ORDER]; | |
unsigned char been_length_; | |
float basis_[KENLM_MAX_ORDER]; | |
Doing &doing_; | |
}; | |
template <class Doing> void RecursiveInsert(const unsigned char total_order, const WordIndex unigram_count, RecordReader *input, std::ostream *progress_out, const char *message, Doing &doing) { | |
util::ErsatzProgress progress(unigram_count + 1, progress_out, message); | |
WordIndex unigram = 0; | |
std::priority_queue<Gram> grams; | |
if (unigram_count) grams.push(Gram(&unigram, 1)); | |
for (unsigned char i = 2; i <= total_order; ++i) { | |
if (input[i-2]) grams.push(Gram(reinterpret_cast<const WordIndex*>(input[i-2].Data()), i)); | |
} | |
BlankManager<Doing> blank(total_order, doing); | |
while (!grams.empty()) { | |
Gram top = grams.top(); | |
grams.pop(); | |
unsigned char order = top.end - top.begin; | |
if (order == 1) { | |
blank.Visit(&unigram, 1, doing.UnigramProb(unigram)); | |
doing.Unigram(unigram); | |
progress.Set(unigram); | |
if (++unigram < unigram_count) grams.push(top); | |
} else { | |
if (order == total_order) { | |
blank.Visit(top.begin, order, reinterpret_cast<const Prob*>(top.end)->prob); | |
doing.Longest(top.begin); | |
} else { | |
blank.Visit(top.begin, order, reinterpret_cast<const ProbBackoff*>(top.end)->prob); | |
doing.Middle(order, top.begin); | |
} | |
RecordReader &reader = input[order - 2]; | |
if (++reader) grams.push(top); | |
} | |
} | |
} | |
void SanityCheckCounts(const std::vector<uint64_t> &initial, const std::vector<uint64_t> &fixed) { | |
if (fixed[0] != initial[0]) UTIL_THROW(util::Exception, "Unigram count should be constant but initial is " << initial[0] << " and recounted is " << fixed[0]); | |
if (fixed.back() != initial.back()) UTIL_THROW(util::Exception, "Longest count should be constant but it changed from " << initial.back() << " to " << fixed.back()); | |
for (unsigned char i = 0; i < initial.size(); ++i) { | |
if (fixed[i] < initial[i]) UTIL_THROW(util::Exception, "Counts came out lower than expected. This shouldn't happen"); | |
} | |
} | |
template <class Quant> void TrainQuantizer(uint8_t order, uint64_t count, const std::vector<float> &additional, RecordReader &reader, util::ErsatzProgress &progress, Quant &quant) { | |
std::vector<float> probs(additional), backoffs; | |
probs.reserve(count + additional.size()); | |
backoffs.reserve(count); | |
for (reader.Rewind(); reader; ++reader) { | |
const ProbBackoff &weights = *reinterpret_cast<const ProbBackoff*>(reinterpret_cast<const uint8_t*>(reader.Data()) + sizeof(WordIndex) * order); | |
probs.push_back(weights.prob); | |
if (weights.backoff != 0.0) backoffs.push_back(weights.backoff); | |
++progress; | |
} | |
quant.Train(order, probs, backoffs); | |
} | |
template <class Quant> void TrainProbQuantizer(uint8_t order, uint64_t count, RecordReader &reader, util::ErsatzProgress &progress, Quant &quant) { | |
std::vector<float> probs, backoffs; | |
probs.reserve(count); | |
for (reader.Rewind(); reader; ++reader) { | |
const Prob &weights = *reinterpret_cast<const Prob*>(reinterpret_cast<const uint8_t*>(reader.Data()) + sizeof(WordIndex) * order); | |
probs.push_back(weights.prob); | |
++progress; | |
} | |
quant.TrainProb(order, probs); | |
} | |
void PopulateUnigramWeights(FILE *file, WordIndex unigram_count, RecordReader &contexts, UnigramValue *unigrams) { | |
// Fill unigram probabilities. | |
try { | |
rewind(file); | |
for (WordIndex i = 0; i < unigram_count; ++i) { | |
ReadOrThrow(file, &unigrams[i].weights, sizeof(ProbBackoff)); | |
if (contexts && *reinterpret_cast<const WordIndex*>(contexts.Data()) == i) { | |
SetExtension(unigrams[i].weights.backoff); | |
++contexts; | |
} | |
} | |
} catch (util::Exception &e) { | |
e << " while re-reading unigram probabilities"; | |
throw; | |
} | |
} | |
} // namespace | |
template <class Quant, class Bhiksha> void BuildTrie(SortedFiles &files, std::vector<uint64_t> &counts, const Config &config, TrieSearch<Quant, Bhiksha> &out, Quant &quant, SortedVocabulary &vocab, BinaryFormat &backing) { | |
RecordReader inputs[KENLM_MAX_ORDER - 1]; | |
RecordReader contexts[KENLM_MAX_ORDER - 1]; | |
for (unsigned char i = 2; i <= counts.size(); ++i) { | |
inputs[i-2].Init(files.Full(i), i * sizeof(WordIndex) + (i == counts.size() ? sizeof(Prob) : sizeof(ProbBackoff))); | |
contexts[i-2].Init(files.Context(i), (i-1) * sizeof(WordIndex)); | |
} | |
SRISucks sri; | |
std::vector<uint64_t> fixed_counts; | |
util::scoped_FILE unigram_file; | |
util::scoped_fd unigram_fd(files.StealUnigram()); | |
{ | |
util::scoped_memory unigrams; | |
MapRead(util::POPULATE_OR_READ, unigram_fd.get(), 0, counts[0] * sizeof(ProbBackoff), unigrams); | |
FindBlanks finder(counts.size(), reinterpret_cast<const ProbBackoff*>(unigrams.get()), sri); | |
RecursiveInsert(counts.size(), counts[0], inputs, config.ProgressMessages(), "Identifying n-grams omitted by SRI", finder); | |
fixed_counts = finder.Counts(); | |
} | |
unigram_file.reset(util::FDOpenOrThrow(unigram_fd)); | |
for (const RecordReader *i = inputs; i != inputs + counts.size() - 2; ++i) { | |
if (*i) UTIL_THROW(FormatLoadException, "There's a bug in the trie implementation: the " << (i - inputs + 2) << "-gram table did not complete reading"); | |
} | |
SanityCheckCounts(counts, fixed_counts); | |
counts = fixed_counts; | |
sri.ObtainBackoffs(counts.size(), unigram_file.get(), inputs); | |
void *vocab_relocate; | |
void *search_base = backing.GrowForSearch(TrieSearch<Quant, Bhiksha>::Size(fixed_counts, config), vocab.UnkCountChangePadding(), vocab_relocate); | |
vocab.Relocate(vocab_relocate); | |
out.SetupMemory(reinterpret_cast<uint8_t*>(search_base), fixed_counts, config); | |
for (unsigned char i = 2; i <= counts.size(); ++i) { | |
inputs[i-2].Rewind(); | |
} | |
if (Quant::kTrain) { | |
util::ErsatzProgress progress(std::accumulate(counts.begin() + 1, counts.end(), 0), | |
config.ProgressMessages(), "Quantizing"); | |
for (unsigned char i = 2; i < counts.size(); ++i) { | |
TrainQuantizer(i, counts[i-1], sri.Values(i), inputs[i-2], progress, quant); | |
} | |
TrainProbQuantizer(counts.size(), counts.back(), inputs[counts.size() - 2], progress, quant); | |
quant.FinishedLoading(config); | |
} | |
UnigramValue *unigrams = out.unigram_.Raw(); | |
PopulateUnigramWeights(unigram_file.get(), counts[0], contexts[0], unigrams); | |
unigram_file.reset(); | |
for (unsigned char i = 2; i <= counts.size(); ++i) { | |
inputs[i-2].Rewind(); | |
} | |
// Fill entries except unigram probabilities. | |
{ | |
WriteEntries<Quant, Bhiksha> writer(contexts, quant, unigrams, out.middle_begin_, out.longest_, counts.size(), sri); | |
RecursiveInsert(counts.size(), counts[0], inputs, config.ProgressMessages(), "Writing trie", writer); | |
// Write the last unigram entry, which is the end pointer for the bigrams. | |
writer.Unigram(counts[0]); | |
} | |
// Do not disable this error message or else too little state will be returned. Both WriteEntries::Middle and returning state based on found n-grams will need to be fixed to handle this situation. | |
for (unsigned char order = 2; order <= counts.size(); ++order) { | |
const RecordReader &context = contexts[order - 2]; | |
if (context) { | |
FormatLoadException e; | |
e << "A " << static_cast<unsigned int>(order) << "-gram has context"; | |
const WordIndex *ctx = reinterpret_cast<const WordIndex*>(context.Data()); | |
for (const WordIndex *i = ctx; i != ctx + order - 1; ++i) { | |
e << ' ' << *i; | |
} | |
e << " so this context must appear in the model as a " << static_cast<unsigned int>(order - 1) << "-gram but it does not"; | |
throw e; | |
} | |
} | |
/* Set ending offsets so the last entry will be sized properly */ | |
// Last entry for unigrams was already set. | |
if (out.middle_begin_ != out.middle_end_) { | |
for (typename TrieSearch<Quant, Bhiksha>::Middle *i = out.middle_begin_; i != out.middle_end_ - 1; ++i) { | |
i->FinishedLoading((i+1)->InsertIndex(), config); | |
} | |
(out.middle_end_ - 1)->FinishedLoading(out.longest_.InsertIndex(), config); | |
} | |
} | |
template <class Quant, class Bhiksha> uint8_t *TrieSearch<Quant, Bhiksha>::SetupMemory(uint8_t *start, const std::vector<uint64_t> &counts, const Config &config) { | |
quant_.SetupMemory(start, counts.size(), config); | |
start += Quant::Size(counts.size(), config); | |
unigram_.Init(start); | |
start += Unigram::Size(counts[0]); | |
FreeMiddles(); | |
middle_begin_ = static_cast<Middle*>(malloc(sizeof(Middle) * (counts.size() - 2))); | |
middle_end_ = middle_begin_ + (counts.size() - 2); | |
std::vector<uint8_t*> middle_starts(counts.size() - 2); | |
for (unsigned char i = 2; i < counts.size(); ++i) { | |
middle_starts[i-2] = start; | |
start += Middle::Size(Quant::MiddleBits(config), counts[i-1], counts[0], counts[i], config); | |
} | |
// Crazy backwards thing so we initialize using pointers to ones that have already been initialized | |
for (unsigned char i = counts.size() - 1; i >= 2; --i) { | |
// use "placement new" syntax to initalize Middle in an already-allocated memory location | |
new (middle_begin_ + i - 2) Middle( | |
middle_starts[i-2], | |
quant_.MiddleBits(config), | |
counts[i-1], | |
counts[0], | |
counts[i], | |
(i == counts.size() - 1) ? static_cast<const BitPacked&>(longest_) : static_cast<const BitPacked &>(middle_begin_[i-1]), | |
config); | |
} | |
longest_.Init(start, quant_.LongestBits(config), counts[0]); | |
return start + Longest::Size(Quant::LongestBits(config), counts.back(), counts[0]); | |
} | |
template <class Quant, class Bhiksha> void TrieSearch<Quant, Bhiksha>::InitializeFromARPA(const char *file, util::FilePiece &f, std::vector<uint64_t> &counts, const Config &config, SortedVocabulary &vocab, BinaryFormat &backing) { | |
std::string temporary_prefix; | |
if (!config.temporary_directory_prefix.empty()) { | |
temporary_prefix = config.temporary_directory_prefix; | |
} else if (config.write_mmap) { | |
temporary_prefix = config.write_mmap; | |
} else { | |
temporary_prefix = file; | |
} | |
// At least 1MB sorting memory. | |
SortedFiles sorted(config, f, counts, std::max<size_t>(config.building_memory, 1048576), temporary_prefix, vocab); | |
BuildTrie(sorted, counts, config, *this, quant_, vocab, backing); | |
} | |
template class TrieSearch<DontQuantize, DontBhiksha>; | |
template class TrieSearch<DontQuantize, ArrayBhiksha>; | |
template class TrieSearch<SeparatelyQuantize, DontBhiksha>; | |
template class TrieSearch<SeparatelyQuantize, ArrayBhiksha>; | |
} // namespace trie | |
} // namespace ngram | |
} // namespace lm | |