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#include "lm/search_trie.hh" |
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#include "lm/bhiksha.hh" |
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#include "lm/binary_format.hh" |
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#include "lm/blank.hh" |
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#include "lm/lm_exception.hh" |
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#include "lm/max_order.hh" |
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#include "lm/quantize.hh" |
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#include "lm/trie.hh" |
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#include "lm/trie_sort.hh" |
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#include "lm/vocab.hh" |
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#include "lm/weights.hh" |
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#include "lm/word_index.hh" |
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#include "util/ersatz_progress.hh" |
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#include "util/mmap.hh" |
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#include "util/proxy_iterator.hh" |
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#include "util/scoped.hh" |
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#include "util/sized_iterator.hh" |
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#include <algorithm> |
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#include <cstring> |
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#include <cstdio> |
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#include <cstdlib> |
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#include <queue> |
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#include <limits> |
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#include <numeric> |
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#include <vector> |
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#if defined(_WIN32) || defined(_WIN64) |
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#include <windows.h> |
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#endif |
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namespace lm { |
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namespace ngram { |
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namespace trie { |
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namespace { |
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void ReadOrThrow(FILE *from, void *data, size_t size) { |
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UTIL_THROW_IF(1 != std::fread(data, size, 1, from), util::ErrnoException, "Short read"); |
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} |
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int Compare(unsigned char order, const void *first_void, const void *second_void) { |
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const WordIndex *first = reinterpret_cast<const WordIndex*>(first_void), *second = reinterpret_cast<const WordIndex*>(second_void); |
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const WordIndex *end = first + order; |
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for (; first != end; ++first, ++second) { |
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if (*first < *second) return -1; |
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if (*first > *second) return 1; |
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} |
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return 0; |
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} |
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struct ProbPointer { |
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unsigned char array; |
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uint64_t index; |
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}; |
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class BackoffMessages { |
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public: |
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void Init(std::size_t entry_size) { |
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current_ = NULL; |
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allocated_ = NULL; |
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entry_size_ = entry_size; |
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} |
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void Add(const WordIndex *to, ProbPointer index) { |
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while (current_ + entry_size_ > allocated_) { |
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std::size_t allocated_size = allocated_ - (uint8_t*)backing_.get(); |
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Resize(std::max<std::size_t>(allocated_size * 2, entry_size_)); |
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} |
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memcpy(current_, to, entry_size_ - sizeof(ProbPointer)); |
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*reinterpret_cast<ProbPointer*>(current_ + entry_size_ - sizeof(ProbPointer)) = index; |
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current_ += entry_size_; |
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} |
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void Apply(float *const *const base, FILE *unigrams) { |
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FinishedAdding(); |
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if (current_ == allocated_) return; |
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rewind(unigrams); |
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ProbBackoff weights; |
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WordIndex unigram = 0; |
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ReadOrThrow(unigrams, &weights, sizeof(weights)); |
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for (; current_ != allocated_; current_ += entry_size_) { |
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const WordIndex &cur_word = *reinterpret_cast<const WordIndex*>(current_); |
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for (; unigram < cur_word; ++unigram) { |
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ReadOrThrow(unigrams, &weights, sizeof(weights)); |
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} |
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if (!HasExtension(weights.backoff)) { |
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weights.backoff = kExtensionBackoff; |
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UTIL_THROW_IF(fseek(unigrams, -sizeof(weights), SEEK_CUR), util::ErrnoException, "Seeking backwards to denote unigram extension failed."); |
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util::WriteOrThrow(unigrams, &weights, sizeof(weights)); |
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} |
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const ProbPointer &write_to = *reinterpret_cast<const ProbPointer*>(current_ + sizeof(WordIndex)); |
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base[write_to.array][write_to.index] += weights.backoff; |
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} |
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backing_.reset(); |
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} |
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void Apply(float *const *const base, RecordReader &reader) { |
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FinishedAdding(); |
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if (current_ == allocated_) return; |
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WordIndex *extend_out = reinterpret_cast<WordIndex*>(current_); |
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const unsigned char order = (entry_size_ - sizeof(ProbPointer)) / sizeof(WordIndex); |
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for (reader.Rewind(); reader && (current_ != allocated_); ) { |
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switch (Compare(order, reader.Data(), current_)) { |
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case -1: |
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++reader; |
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break; |
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case 1: |
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for (const WordIndex *w = reinterpret_cast<const WordIndex *>(current_); w != reinterpret_cast<const WordIndex *>(current_) + order; ++w, ++extend_out) *extend_out = *w; |
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current_ += entry_size_; |
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break; |
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case 0: |
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float &backoff = reinterpret_cast<ProbBackoff*>((uint8_t*)reader.Data() + order * sizeof(WordIndex))->backoff; |
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if (!HasExtension(backoff)) { |
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backoff = kExtensionBackoff; |
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reader.Overwrite(&backoff, sizeof(float)); |
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} else { |
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const ProbPointer &write_to = *reinterpret_cast<const ProbPointer*>(current_ + entry_size_ - sizeof(ProbPointer)); |
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base[write_to.array][write_to.index] += backoff; |
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} |
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current_ += entry_size_; |
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break; |
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} |
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} |
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entry_size_ = sizeof(WordIndex) * order; |
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Resize(sizeof(WordIndex) * (extend_out - (const WordIndex*)backing_.get())); |
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current_ = (uint8_t*)backing_.get(); |
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} |
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bool Extends(unsigned char order, const WordIndex *words) { |
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if (current_ == allocated_) return false; |
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assert(order * sizeof(WordIndex) == entry_size_); |
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while (true) { |
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switch(Compare(order, words, current_)) { |
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case 1: |
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current_ += entry_size_; |
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if (current_ == allocated_) return false; |
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break; |
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case -1: |
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return false; |
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case 0: |
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return true; |
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} |
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} |
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} |
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private: |
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void FinishedAdding() { |
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Resize(current_ - (uint8_t*)backing_.get()); |
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util::SizedSort(backing_.get(), current_, entry_size_, EntryCompare((entry_size_ - sizeof(ProbPointer)) / sizeof(WordIndex))); |
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current_ = (uint8_t*)backing_.get(); |
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} |
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void Resize(std::size_t to) { |
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std::size_t current = current_ - (uint8_t*)backing_.get(); |
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backing_.call_realloc(to); |
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current_ = (uint8_t*)backing_.get() + current; |
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allocated_ = (uint8_t*)backing_.get() + to; |
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} |
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util::scoped_malloc backing_; |
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uint8_t *current_, *allocated_; |
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std::size_t entry_size_; |
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}; |
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const float kBadProb = std::numeric_limits<float>::infinity(); |
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class SRISucks { |
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public: |
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SRISucks() { |
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for (BackoffMessages *i = messages_; i != messages_ + KENLM_MAX_ORDER - 1; ++i) |
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i->Init(sizeof(ProbPointer) + sizeof(WordIndex) * (i - messages_ + 1)); |
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} |
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void Send(unsigned char begin, unsigned char order, const WordIndex *to, float prob_basis) { |
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assert(prob_basis != kBadProb); |
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ProbPointer pointer; |
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pointer.array = order - 1; |
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pointer.index = values_[order - 1].size(); |
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for (unsigned char i = begin; i < order; ++i) { |
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messages_[i - 1].Add(to, pointer); |
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} |
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values_[order - 1].push_back(prob_basis); |
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} |
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void ObtainBackoffs(unsigned char total_order, FILE *unigram_file, RecordReader *reader) { |
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for (unsigned char i = 0; i < KENLM_MAX_ORDER - 1; ++i) { |
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it_[i] = values_[i].empty() ? NULL : &*values_[i].begin(); |
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} |
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messages_[0].Apply(it_, unigram_file); |
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BackoffMessages *messages = messages_ + 1; |
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const RecordReader *end = reader + total_order - 2 ; |
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for (; reader != end; ++messages, ++reader) { |
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messages->Apply(it_, *reader); |
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} |
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} |
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ProbBackoff GetBlank(unsigned char total_order, unsigned char order, const WordIndex *indices) { |
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assert(order > 1); |
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ProbBackoff ret; |
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ret.prob = *(it_[order - 1]++); |
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ret.backoff = ((order != total_order - 1) && messages_[order - 1].Extends(order, indices)) ? kExtensionBackoff : kNoExtensionBackoff; |
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return ret; |
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} |
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const std::vector<float> &Values(unsigned char order) const { |
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return values_[order - 1]; |
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} |
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private: |
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std::vector<float> values_[KENLM_MAX_ORDER - 1]; |
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BackoffMessages messages_[KENLM_MAX_ORDER - 1]; |
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float *it_[KENLM_MAX_ORDER - 1]; |
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}; |
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class FindBlanks { |
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public: |
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FindBlanks(unsigned char order, const ProbBackoff *unigrams, SRISucks &messages) |
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: counts_(order), unigrams_(unigrams), sri_(messages) {} |
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float UnigramProb(WordIndex index) const { |
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return unigrams_[index].prob; |
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} |
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void Unigram(WordIndex ) { |
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++counts_[0]; |
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} |
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void MiddleBlank(const unsigned char order, const WordIndex *indices, unsigned char lower, float prob_basis) { |
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sri_.Send(lower, order, indices + 1, prob_basis); |
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++counts_[order - 1]; |
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} |
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void Middle(const unsigned char order, const void * ) { |
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++counts_[order - 1]; |
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} |
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void Longest(const void * ) { |
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++counts_.back(); |
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} |
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const std::vector<uint64_t> &Counts() const { |
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return counts_; |
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} |
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private: |
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std::vector<uint64_t> counts_; |
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const ProbBackoff *unigrams_; |
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SRISucks &sri_; |
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}; |
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template <class Quant, class Bhiksha> class WriteEntries { |
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public: |
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WriteEntries(RecordReader *contexts, const Quant &quant, UnigramValue *unigrams, BitPackedMiddle<Bhiksha> *middle, BitPackedLongest &longest, unsigned char order, SRISucks &sri) : |
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contexts_(contexts), |
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quant_(quant), |
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unigrams_(unigrams), |
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middle_(middle), |
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longest_(longest), |
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bigram_pack_((order == 2) ? static_cast<BitPacked&>(longest_) : static_cast<BitPacked&>(*middle_)), |
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order_(order), |
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sri_(sri) {} |
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float UnigramProb(WordIndex index) const { return unigrams_[index].weights.prob; } |
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void Unigram(WordIndex word) { |
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unigrams_[word].next = bigram_pack_.InsertIndex(); |
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} |
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void MiddleBlank(const unsigned char order, const WordIndex *indices, unsigned char , float ) { |
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ProbBackoff weights = sri_.GetBlank(order_, order, indices); |
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typename Quant::MiddlePointer(quant_, order - 2, middle_[order - 2].Insert(indices[order - 1])).Write(weights.prob, weights.backoff); |
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} |
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void Middle(const unsigned char order, const void *data) { |
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RecordReader &context = contexts_[order - 1]; |
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const WordIndex *words = reinterpret_cast<const WordIndex*>(data); |
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ProbBackoff weights = *reinterpret_cast<const ProbBackoff*>(words + order); |
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if (context && !memcmp(data, context.Data(), sizeof(WordIndex) * order)) { |
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SetExtension(weights.backoff); |
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++context; |
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} |
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typename Quant::MiddlePointer(quant_, order - 2, middle_[order - 2].Insert(words[order - 1])).Write(weights.prob, weights.backoff); |
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} |
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void Longest(const void *data) { |
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const WordIndex *words = reinterpret_cast<const WordIndex*>(data); |
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typename Quant::LongestPointer(quant_, longest_.Insert(words[order_ - 1])).Write(reinterpret_cast<const Prob*>(words + order_)->prob); |
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} |
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private: |
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RecordReader *contexts_; |
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const Quant &quant_; |
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UnigramValue *const unigrams_; |
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BitPackedMiddle<Bhiksha> *const middle_; |
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BitPackedLongest &longest_; |
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BitPacked &bigram_pack_; |
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const unsigned char order_; |
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SRISucks &sri_; |
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}; |
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struct Gram { |
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Gram(const WordIndex *in_begin, unsigned char order) : begin(in_begin), end(in_begin + order) {} |
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const WordIndex *begin, *end; |
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bool operator<(const Gram &other) const { |
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return std::lexicographical_compare(other.begin, other.end, begin, end); |
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} |
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}; |
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template <class Doing> class BlankManager { |
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public: |
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BlankManager(unsigned char total_order, Doing &doing) : total_order_(total_order), been_length_(0), doing_(doing) { |
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for (float *i = basis_; i != basis_ + KENLM_MAX_ORDER - 1; ++i) *i = kBadProb; |
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} |
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void Visit(const WordIndex *to, unsigned char length, float prob) { |
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basis_[length - 1] = prob; |
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unsigned char overlap = std::min<unsigned char>(length - 1, been_length_); |
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const WordIndex *cur; |
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WordIndex *pre; |
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for (cur = to, pre = been_; cur != to + overlap; ++cur, ++pre) { |
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if (*pre != *cur) break; |
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} |
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if (cur == to + length - 1) { |
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*pre = *cur; |
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been_length_ = length; |
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return; |
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} |
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unsigned char blank = cur - to + 1; |
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UTIL_THROW_IF(blank == 1, FormatLoadException, "Missing a unigram that appears as context."); |
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const float *lower_basis; |
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for (lower_basis = basis_ + blank - 2; *lower_basis == kBadProb; --lower_basis) {} |
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unsigned char based_on = lower_basis - basis_ + 1; |
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for (; cur != to + length - 1; ++blank, ++cur, ++pre) { |
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assert(*lower_basis != kBadProb); |
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doing_.MiddleBlank(blank, to, based_on, *lower_basis); |
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*pre = *cur; |
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basis_[blank - 1] = kBadProb; |
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} |
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*pre = *cur; |
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been_length_ = length; |
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} |
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private: |
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const unsigned char total_order_; |
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WordIndex been_[KENLM_MAX_ORDER]; |
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unsigned char been_length_; |
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float basis_[KENLM_MAX_ORDER]; |
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Doing &doing_; |
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}; |
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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) { |
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util::ErsatzProgress progress(unigram_count + 1, progress_out, message); |
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WordIndex unigram = 0; |
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std::priority_queue<Gram> grams; |
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if (unigram_count) grams.push(Gram(&unigram, 1)); |
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for (unsigned char i = 2; i <= total_order; ++i) { |
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if (input[i-2]) grams.push(Gram(reinterpret_cast<const WordIndex*>(input[i-2].Data()), i)); |
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} |
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BlankManager<Doing> blank(total_order, doing); |
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while (!grams.empty()) { |
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Gram top = grams.top(); |
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grams.pop(); |
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unsigned char order = top.end - top.begin; |
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if (order == 1) { |
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blank.Visit(&unigram, 1, doing.UnigramProb(unigram)); |
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doing.Unigram(unigram); |
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progress.Set(unigram); |
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if (++unigram < unigram_count) grams.push(top); |
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} else { |
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if (order == total_order) { |
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blank.Visit(top.begin, order, reinterpret_cast<const Prob*>(top.end)->prob); |
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doing.Longest(top.begin); |
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} else { |
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blank.Visit(top.begin, order, reinterpret_cast<const ProbBackoff*>(top.end)->prob); |
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doing.Middle(order, top.begin); |
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} |
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RecordReader &reader = input[order - 2]; |
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if (++reader) grams.push(top); |
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} |
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} |
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} |
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void SanityCheckCounts(const std::vector<uint64_t> &initial, const std::vector<uint64_t> &fixed) { |
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if (fixed[0] != initial[0]) UTIL_THROW(util::Exception, "Unigram count should be constant but initial is " << initial[0] << " and recounted is " << fixed[0]); |
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if (fixed.back() != initial.back()) UTIL_THROW(util::Exception, "Longest count should be constant but it changed from " << initial.back() << " to " << fixed.back()); |
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for (unsigned char i = 0; i < initial.size(); ++i) { |
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if (fixed[i] < initial[i]) UTIL_THROW(util::Exception, "Counts came out lower than expected. This shouldn't happen"); |
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} |
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} |
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template <class Quant> void TrainQuantizer(uint8_t order, uint64_t count, const std::vector<float> &additional, RecordReader &reader, util::ErsatzProgress &progress, Quant &quant) { |
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std::vector<float> probs(additional), backoffs; |
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probs.reserve(count + additional.size()); |
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backoffs.reserve(count); |
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for (reader.Rewind(); reader; ++reader) { |
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const ProbBackoff &weights = *reinterpret_cast<const ProbBackoff*>(reinterpret_cast<const uint8_t*>(reader.Data()) + sizeof(WordIndex) * order); |
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probs.push_back(weights.prob); |
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if (weights.backoff != 0.0) backoffs.push_back(weights.backoff); |
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++progress; |
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} |
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quant.Train(order, probs, backoffs); |
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} |
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template <class Quant> void TrainProbQuantizer(uint8_t order, uint64_t count, RecordReader &reader, util::ErsatzProgress &progress, Quant &quant) { |
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std::vector<float> probs, backoffs; |
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probs.reserve(count); |
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for (reader.Rewind(); reader; ++reader) { |
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const Prob &weights = *reinterpret_cast<const Prob*>(reinterpret_cast<const uint8_t*>(reader.Data()) + sizeof(WordIndex) * order); |
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probs.push_back(weights.prob); |
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++progress; |
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} |
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quant.TrainProb(order, probs); |
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} |
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void PopulateUnigramWeights(FILE *file, WordIndex unigram_count, RecordReader &contexts, UnigramValue *unigrams) { |
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try { |
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rewind(file); |
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for (WordIndex i = 0; i < unigram_count; ++i) { |
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ReadOrThrow(file, &unigrams[i].weights, sizeof(ProbBackoff)); |
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if (contexts && *reinterpret_cast<const WordIndex*>(contexts.Data()) == i) { |
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SetExtension(unigrams[i].weights.backoff); |
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++contexts; |
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} |
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} |
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} catch (util::Exception &e) { |
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e << " while re-reading unigram probabilities"; |
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throw; |
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} |
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} |
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} |
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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) { |
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RecordReader inputs[KENLM_MAX_ORDER - 1]; |
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RecordReader contexts[KENLM_MAX_ORDER - 1]; |
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for (unsigned char i = 2; i <= counts.size(); ++i) { |
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inputs[i-2].Init(files.Full(i), i * sizeof(WordIndex) + (i == counts.size() ? sizeof(Prob) : sizeof(ProbBackoff))); |
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contexts[i-2].Init(files.Context(i), (i-1) * sizeof(WordIndex)); |
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} |
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SRISucks sri; |
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std::vector<uint64_t> fixed_counts; |
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util::scoped_FILE unigram_file; |
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util::scoped_fd unigram_fd(files.StealUnigram()); |
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{ |
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util::scoped_memory unigrams; |
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MapRead(util::POPULATE_OR_READ, unigram_fd.get(), 0, counts[0] * sizeof(ProbBackoff), unigrams); |
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FindBlanks finder(counts.size(), reinterpret_cast<const ProbBackoff*>(unigrams.get()), sri); |
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RecursiveInsert(counts.size(), counts[0], inputs, config.ProgressMessages(), "Identifying n-grams omitted by SRI", finder); |
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fixed_counts = finder.Counts(); |
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} |
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unigram_file.reset(util::FDOpenOrThrow(unigram_fd)); |
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for (const RecordReader *i = inputs; i != inputs + counts.size() - 2; ++i) { |
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if (*i) UTIL_THROW(FormatLoadException, "There's a bug in the trie implementation: the " << (i - inputs + 2) << "-gram table did not complete reading"); |
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} |
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SanityCheckCounts(counts, fixed_counts); |
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counts = fixed_counts; |
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sri.ObtainBackoffs(counts.size(), unigram_file.get(), inputs); |
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void *vocab_relocate; |
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void *search_base = backing.GrowForSearch(TrieSearch<Quant, Bhiksha>::Size(fixed_counts, config), vocab.UnkCountChangePadding(), vocab_relocate); |
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vocab.Relocate(vocab_relocate); |
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out.SetupMemory(reinterpret_cast<uint8_t*>(search_base), fixed_counts, config); |
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for (unsigned char i = 2; i <= counts.size(); ++i) { |
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inputs[i-2].Rewind(); |
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} |
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if (Quant::kTrain) { |
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util::ErsatzProgress progress(std::accumulate(counts.begin() + 1, counts.end(), 0), |
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config.ProgressMessages(), "Quantizing"); |
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for (unsigned char i = 2; i < counts.size(); ++i) { |
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TrainQuantizer(i, counts[i-1], sri.Values(i), inputs[i-2], progress, quant); |
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} |
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TrainProbQuantizer(counts.size(), counts.back(), inputs[counts.size() - 2], progress, quant); |
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quant.FinishedLoading(config); |
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} |
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UnigramValue *unigrams = out.unigram_.Raw(); |
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PopulateUnigramWeights(unigram_file.get(), counts[0], contexts[0], unigrams); |
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unigram_file.reset(); |
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for (unsigned char i = 2; i <= counts.size(); ++i) { |
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inputs[i-2].Rewind(); |
|
} |
|
|
|
{ |
|
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); |
|
|
|
writer.Unigram(counts[0]); |
|
} |
|
|
|
|
|
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; |
|
} |
|
} |
|
|
|
|
|
|
|
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); |
|
} |
|
|
|
for (unsigned char i = counts.size() - 1; i >= 2; --i) { |
|
|
|
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; |
|
} |
|
|
|
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>; |
|
|
|
} |
|
} |
|
} |
|
|