From 437ee131bc4c2574768a187bf29d62dbb715abf4 Mon Sep 17 00:00:00 2001 From: Kenneth Heafield Date: Mon, 24 Oct 2011 18:17:24 +0100 Subject: KenLM update. EnumerateVocab moved up a namespace. Fix trie building when bigrams are pruned. Make Chris feel better about MurmurHashNative. --- klm/lm/config.hh | 6 ++- klm/lm/enumerate_vocab.hh | 2 - klm/lm/left.hh | 8 ++-- klm/lm/model.cc | 4 +- klm/lm/read_arpa.cc | 2 + klm/lm/search_hashed.cc | 16 +++---- klm/lm/search_trie.cc | 2 +- klm/lm/sri.cc | 108 ---------------------------------------------- klm/lm/sri.hh | 102 ------------------------------------------- klm/lm/vocab.hh | 2 +- 10 files changed, 23 insertions(+), 229 deletions(-) delete mode 100644 klm/lm/sri.cc delete mode 100644 klm/lm/sri.hh (limited to 'klm/lm') diff --git a/klm/lm/config.hh b/klm/lm/config.hh index 227b8512..8564661b 100644 --- a/klm/lm/config.hh +++ b/klm/lm/config.hh @@ -8,10 +8,12 @@ /* Configuration for ngram model. Separate header to reduce pollution. */ -namespace lm { namespace ngram { - +namespace lm { + class EnumerateVocab; +namespace ngram { + struct Config { // EFFECTIVE FOR BOTH ARPA AND BINARY READS diff --git a/klm/lm/enumerate_vocab.hh b/klm/lm/enumerate_vocab.hh index e734316b..27263621 100644 --- a/klm/lm/enumerate_vocab.hh +++ b/klm/lm/enumerate_vocab.hh @@ -5,7 +5,6 @@ #include "util/string_piece.hh" namespace lm { -namespace ngram { /* If you need the actual strings in the vocabulary, inherit from this class * and implement Add. Then put a pointer in Config.enumerate_vocab; it does @@ -23,7 +22,6 @@ class EnumerateVocab { EnumerateVocab() {} }; -} // namespace ngram } // namespace lm #endif // LM_ENUMERATE_VOCAB__ diff --git a/klm/lm/left.hh b/klm/lm/left.hh index bb3f5539..15464c82 100644 --- a/klm/lm/left.hh +++ b/klm/lm/left.hh @@ -176,16 +176,18 @@ template class RuleScore { float backoffs[kMaxOrder - 1], backoffs2[kMaxOrder - 1]; float *back = backoffs, *back2 = backoffs2; unsigned char next_use; - FullScoreReturn ret; - ProcessRet(ret = model_.ExtendLeft(out_.right.words, out_.right.words + out_.right.length, out_.right.backoff, in.left.pointers[0], 1, back, next_use)); + + // First word + ProcessRet(model_.ExtendLeft(out_.right.words, out_.right.words + out_.right.length, out_.right.backoff, in.left.pointers[0], 1, back, next_use)); if (!next_use) { left_done_ = true; out_.right = in.right; return; } + // Words after the first, so extending a bigram to begin with unsigned char extend_length = 2; for (const uint64_t *i = in.left.pointers + 1; i < in.left.pointers + in.left.length; ++i, ++extend_length) { - ProcessRet(ret = model_.ExtendLeft(out_.right.words, out_.right.words + next_use, back, *i, extend_length, back2, next_use)); + ProcessRet(model_.ExtendLeft(out_.right.words, out_.right.words + next_use, back, *i, extend_length, back2, next_use)); if (!next_use) { left_done_ = true; out_.right = in.right; diff --git a/klm/lm/model.cc b/klm/lm/model.cc index 25f1ab7c..e4c1ec1d 100644 --- a/klm/lm/model.cc +++ b/klm/lm/model.cc @@ -91,8 +91,8 @@ template void GenericModel FullScoreReturn GenericModel::FullScore(const State &in_state, const WordIndex new_word, State &out_state) const { FullScoreReturn ret = ScoreExceptBackoff(in_state.words, in_state.words + in_state.length, new_word, out_state); - if (ret.ngram_length - 1 < in_state.length) { - ret.prob = std::accumulate(in_state.backoff + ret.ngram_length - 1, in_state.backoff + in_state.length, ret.prob); + for (const float *i = in_state.backoff + ret.ngram_length - 1; i < in_state.backoff + in_state.length; ++i) { + ret.prob += *i; } return ret; } diff --git a/klm/lm/read_arpa.cc b/klm/lm/read_arpa.cc index 455bc4ba..dce73f77 100644 --- a/klm/lm/read_arpa.cc +++ b/klm/lm/read_arpa.cc @@ -38,6 +38,8 @@ void ReadARPACounts(util::FilePiece &in, std::vector &number) { } if (static_cast(line.size()) >= strlen(kBinaryMagic) && StringPiece(line.data(), strlen(kBinaryMagic)) == kBinaryMagic) UTIL_THROW(FormatLoadException, "This looks like a binary file but got sent to the ARPA parser. Did you compress the binary file or pass a binary file where only ARPA files are accepted?"); + UTIL_THROW_IF(line.size() >= 4 && StringPiece(line.data(), 4) == "blmt", FormatLoadException, "This looks like an IRSTLM binary file. Did you forget to pass --text yes to compile-lm?"); + UTIL_THROW_IF(line == "iARPA", FormatLoadException, "This looks like an IRSTLM iARPA file. You need an ARPA file. Run\n compile-lm --text yes " << in.FileName() << " " << in.FileName() << ".arpa\nfirst."); UTIL_THROW(FormatLoadException, "first non-empty line was \"" << line << "\" not \\data\\."); } while (!IsEntirelyWhiteSpace(line = in.ReadLine())) { diff --git a/klm/lm/search_hashed.cc b/klm/lm/search_hashed.cc index 334adf12..247832b0 100644 --- a/klm/lm/search_hashed.cc +++ b/klm/lm/search_hashed.cc @@ -87,14 +87,14 @@ template void ReadNGrams( ReadNGramHeader(f, n); // vocab ids of words in reverse order - WordIndex vocab_ids[n]; - uint64_t keys[n - 1]; + std::vector vocab_ids(n); + std::vector keys(n-1); typename Store::Packing::Value value; typename Middle::MutableIterator found; for (size_t i = 0; i < count; ++i) { - ReadNGram(f, n, vocab, vocab_ids, value, warn); + ReadNGram(f, n, vocab, &*vocab_ids.begin(), value, warn); - keys[0] = detail::CombineWordHash(static_cast(*vocab_ids), vocab_ids[1]); + keys[0] = detail::CombineWordHash(static_cast(vocab_ids.front()), vocab_ids[1]); for (unsigned int h = 1; h < n - 1; ++h) { keys[h] = detail::CombineWordHash(keys[h-1], vocab_ids[h+1]); } @@ -106,9 +106,9 @@ template void ReadNGrams( util::FloatEnc fix_prob; for (lower = n - 3; ; --lower) { if (lower == -1) { - fix_prob.f = unigrams[vocab_ids[0]].prob; + fix_prob.f = unigrams[vocab_ids.front()].prob; fix_prob.i &= ~util::kSignBit; - unigrams[vocab_ids[0]].prob = fix_prob.f; + unigrams[vocab_ids.front()].prob = fix_prob.f; break; } if (middle[lower].UnsafeMutableFind(keys[lower], found)) { @@ -120,8 +120,8 @@ template void ReadNGrams( break; } } - if (lower != static_cast(n) - 3) FixSRI(lower, fix_prob.f, n, keys, vocab_ids, unigrams, middle); - activate(vocab_ids, n); + if (lower != static_cast(n) - 3) FixSRI(lower, fix_prob.f, n, &*keys.begin(), &*vocab_ids.begin(), unigrams, middle); + activate(&*vocab_ids.begin(), n); } store.FinishedInserting(); diff --git a/klm/lm/search_trie.cc b/klm/lm/search_trie.cc index 5d8c70db..e3cf9547 100644 --- a/klm/lm/search_trie.cc +++ b/klm/lm/search_trie.cc @@ -493,7 +493,7 @@ template void BuildTrie(const std::string &file_pre util::scoped_FILE unigram_file; { std::string name(file_prefix + "unigrams"); - unigram_file.reset(OpenOrThrow(name.c_str(), "r")); + unigram_file.reset(OpenOrThrow(name.c_str(), "r+")); util::RemoveOrThrow(name.c_str()); } sri.ObtainBackoffs(counts.size(), unigram_file.get(), inputs); diff --git a/klm/lm/sri.cc b/klm/lm/sri.cc deleted file mode 100644 index 825f699b..00000000 --- a/klm/lm/sri.cc +++ /dev/null @@ -1,108 +0,0 @@ -#include "lm/lm_exception.hh" -#include "lm/sri.hh" - -#include -#include - -#include - -namespace lm { -namespace sri { - -Vocabulary::Vocabulary() : sri_(new Vocab) {} - -Vocabulary::~Vocabulary() {} - -WordIndex Vocabulary::Index(const char *str) const { - WordIndex ret = sri_->getIndex(str); - // NGram wants the index of Vocab_Unknown for unknown words, but for some reason SRI returns Vocab_None here :-(. - if (ret == Vocab_None) { - return not_found_; - } else { - return ret; - } -} - -const char *Vocabulary::Word(WordIndex index) const { - return sri_->getWord(index); -} - -void Vocabulary::FinishedLoading() { - SetSpecial( - sri_->ssIndex(), - sri_->seIndex(), - sri_->unkIndex()); -} - -namespace { -Ngram *MakeSRIModel(const char *file_name, unsigned int ngram_length, Vocab &sri_vocab) { - sri_vocab.unkIsWord() = true; - std::auto_ptr ret(new Ngram(sri_vocab, ngram_length)); - File file(file_name, "r"); - errno = 0; - if (!ret->read(file)) { - UTIL_THROW(FormatLoadException, "reading file " << file_name << " with SRI failed."); - } - return ret.release(); -} -} // namespace - -Model::Model(const char *file_name, unsigned int ngram_length) : sri_(MakeSRIModel(file_name, ngram_length, *vocab_.sri_)) { - if (!sri_->setorder()) { - UTIL_THROW(FormatLoadException, "Can't have an SRI model with order 0."); - } - vocab_.FinishedLoading(); - State begin_state = State(); - begin_state.valid_length_ = 1; - if (kMaxOrder > 1) { - begin_state.history_[0] = vocab_.BeginSentence(); - if (kMaxOrder > 2) begin_state.history_[1] = Vocab_None; - } - State null_state = State(); - null_state.valid_length_ = 0; - if (kMaxOrder > 1) null_state.history_[0] = Vocab_None; - Init(begin_state, null_state, vocab_, sri_->setorder()); - not_found_ = vocab_.NotFound(); -} - -Model::~Model() {} - -namespace { - -/* Argh SRI's wordProb knows the ngram length but doesn't return it. One more - * reason you should use my model. */ -// TODO(stolcke): fix SRILM so I don't have to do this. -unsigned int MatchedLength(Ngram &model, const WordIndex new_word, const SRIVocabIndex *const_history) { - unsigned int out_length = 0; - // This gets the length of context used, which is ngram_length - 1 unless new_word is OOV in which case it is 0. - model.contextID(new_word, const_history, out_length); - return out_length + 1; -} - -} // namespace - -FullScoreReturn Model::FullScore(const State &in_state, const WordIndex new_word, State &out_state) const { - // If you get a compiler in this function, change SRIVocabIndex in sri.hh to match the one found in SRI's Vocab.h. - const SRIVocabIndex *const_history; - SRIVocabIndex local_history[Order()]; - if (in_state.valid_length_ < kMaxOrder - 1) { - const_history = in_state.history_; - } else { - std::copy(in_state.history_, in_state.history_ + in_state.valid_length_, local_history); - local_history[in_state.valid_length_] = Vocab_None; - const_history = local_history; - } - FullScoreReturn ret; - ret.ngram_length = MatchedLength(*sri_, new_word, const_history); - out_state.history_[0] = new_word; - out_state.valid_length_ = std::min(ret.ngram_length, Order() - 1); - std::copy(const_history, const_history + out_state.valid_length_ - 1, out_state.history_ + 1); - if (out_state.valid_length_ < kMaxOrder - 1) { - out_state.history_[out_state.valid_length_] = Vocab_None; - } - ret.prob = sri_->wordProb(new_word, const_history); - return ret; -} - -} // namespace sri -} // namespace lm diff --git a/klm/lm/sri.hh b/klm/lm/sri.hh deleted file mode 100644 index b57e9b73..00000000 --- a/klm/lm/sri.hh +++ /dev/null @@ -1,102 +0,0 @@ -#ifndef LM_SRI__ -#define LM_SRI__ - -#include "lm/facade.hh" -#include "util/murmur_hash.hh" - -#include -#include -#include - -class Ngram; -class Vocab; - -/* The ngram length reported uses some random API I found and may be wrong. - * - * See ngram, which should return equivalent results. - */ - -namespace lm { -namespace sri { - -static const unsigned int kMaxOrder = 6; - -/* This should match VocabIndex found in SRI's Vocab.h - * The reason I define this here independently is that SRI's headers - * pollute and increase compile time. - * It's difficult to extract this from their header and anyway would - * break packaging. - * If these differ there will be a compiler error in ActuallyCall. - */ -typedef unsigned int SRIVocabIndex; - -class State { - public: - // You shouldn't need to touch these, but they're public so State will be a POD. - // If valid_length_ < kMaxOrder - 1 then history_[valid_length_] == Vocab_None. - SRIVocabIndex history_[kMaxOrder - 1]; - unsigned char valid_length_; -}; - -inline bool operator==(const State &left, const State &right) { - if (left.valid_length_ != right.valid_length_) { - return false; - } - for (const SRIVocabIndex *l = left.history_, *r = right.history_; - l != left.history_ + left.valid_length_; - ++l, ++r) { - if (*l != *r) return false; - } - return true; -} - -inline size_t hash_value(const State &state) { - return util::MurmurHashNative(&state.history_, sizeof(SRIVocabIndex) * state.valid_length_); -} - -class Vocabulary : public base::Vocabulary { - public: - Vocabulary(); - - ~Vocabulary(); - - WordIndex Index(const StringPiece &str) const { - std::string temp(str.data(), str.length()); - return Index(temp.c_str()); - } - WordIndex Index(const std::string &str) const { - return Index(str.c_str()); - } - WordIndex Index(const char *str) const; - - const char *Word(WordIndex index) const; - - private: - friend class Model; - void FinishedLoading(); - - // The parent class isn't copyable so auto_ptr is the same as scoped_ptr - // but without the boost dependence. - mutable std::auto_ptr sri_; -}; - -class Model : public base::ModelFacade { - public: - Model(const char *file_name, unsigned int ngram_length); - - ~Model(); - - FullScoreReturn FullScore(const State &in_state, const WordIndex new_word, State &out_state) const; - - private: - Vocabulary vocab_; - - mutable std::auto_ptr sri_; - - WordIndex not_found_; -}; - -} // namespace sri -} // namespace lm - -#endif // LM_SRI__ diff --git a/klm/lm/vocab.hh b/klm/lm/vocab.hh index 41e97052..4cf68196 100644 --- a/klm/lm/vocab.hh +++ b/klm/lm/vocab.hh @@ -15,10 +15,10 @@ namespace lm { class ProbBackoff; +class EnumerateVocab; namespace ngram { class Config; -class EnumerateVocab; namespace detail { uint64_t HashForVocab(const char *str, std::size_t len); -- cgit v1.2.3