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/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2006 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#ifndef moses_PhraseDictionaryMultiModel_h
#define moses_PhraseDictionaryMultiModel_h
#include "moses/TranslationModel/PhraseDictionary.h"
#include <boost/unordered_map.hpp>
#include <boost/thread/shared_mutex.hpp>
#include "moses/StaticData.h"
#include "moses/TargetPhrase.h"
#include "moses/Util.h"
#ifdef WITH_DLIB
#include <dlib/optimization.h>
#endif
namespace Moses
{
struct multiModelStats {
TargetPhrase *targetPhrase;
std::vector<std::vector<float> > p;
~multiModelStats() {
delete targetPhrase;
};
};
struct multiModelStatsOptimization: multiModelStats {
size_t f;
};
class OptimizationObjective;
struct multiModelPhrase {
TargetPhrase *targetPhrase;
std::vector<float> p;
~multiModelPhrase() {
delete targetPhrase;
};
};
/** Implementation of a virtual phrase table constructed from multiple component phrase tables.
*/
class PhraseDictionaryMultiModel: public PhraseDictionary
{
#ifdef WITH_DLIB
friend class CrossEntropy;
#endif
public:
PhraseDictionaryMultiModel(const std::string &line);
PhraseDictionaryMultiModel(int type, const std::string &line);
~PhraseDictionaryMultiModel();
void Load();
virtual void
CollectSufficientStatistics
(const Phrase& src, std::map<std::string,multiModelStats*>* allStats)
const;
virtual TargetPhraseCollection::shared_ptr
CreateTargetPhraseCollectionLinearInterpolation
(const Phrase& src, std::map<std::string,multiModelStats*>* allStats,
std::vector<std::vector<float> > &multimodelweights) const;
std::vector<std::vector<float> >
getWeights(size_t numWeights, bool normalize) const;
std::vector<float>
normalizeWeights(std::vector<float> &weights) const;
void
CacheForCleanup(TargetPhraseCollection::shared_ptr tpc);
void
CleanUpAfterSentenceProcessing(const InputType &source);
virtual void
CleanUpComponentModels(const InputType &source);
#ifdef WITH_DLIB
virtual std::vector<float> MinimizePerplexity(std::vector<std::pair<std::string, std::string> > &phrase_pair_vector);
std::vector<float> Optimize(OptimizationObjective * ObjectiveFunction, size_t numModels);
#endif
// functions below required by base class
virtual TargetPhraseCollection::shared_ptr
GetTargetPhraseCollectionLEGACY(const Phrase& src) const;
virtual void
InitializeForInput(ttasksptr const& ttask) {
// Don't do anything source specific here as this object is shared
// between threads.
}
ChartRuleLookupManager*
CreateRuleLookupManager(const ChartParser &, const ChartCellCollectionBase&,
std::size_t);
void
SetParameter(const std::string& key, const std::string& value);
const std::vector<float>*
GetTemporaryMultiModelWeightsVector() const;
void
SetTemporaryMultiModelWeightsVector(std::vector<float> weights);
protected:
std::string m_mode;
std::vector<std::string> m_pdStr;
std::vector<PhraseDictionary*> m_pd;
size_t m_numModels;
std::vector<float> m_multimodelweights;
typedef std::vector<TargetPhraseCollection::shared_ptr> PhraseCache;
#ifdef WITH_THREADS
boost::shared_mutex m_lock_cache;
typedef std::map<boost::thread::id, PhraseCache> SentenceCache;
#else
typedef PhraseCache SentenceCache;
#endif
SentenceCache m_sentenceCache;
PhraseCache& GetPhraseCache() {
#ifdef WITH_THREADS
{
// first try read-only lock
boost::shared_lock<boost::shared_mutex> read_lock(m_lock_cache);
SentenceCache::iterator i = m_sentenceCache.find(boost::this_thread::get_id());
if (i != m_sentenceCache.end()) return i->second;
}
boost::unique_lock<boost::shared_mutex> lock(m_lock_cache);
return m_sentenceCache[boost::this_thread::get_id()];
#else
return m_sentenceCache;
#endif
}
#ifdef WITH_THREADS
//reader-writer lock
mutable boost::shared_mutex m_lock_weights;
std::map<boost::thread::id, std::vector<float> > m_multimodelweights_tmp;
#else
std::vector<float> m_multimodelweights_tmp;
#endif
};
#ifdef WITH_DLIB
class OptimizationObjective
{
public:
virtual double operator() ( const dlib::matrix<double,0,1>& arg) const = 0;
};
class CrossEntropy: public OptimizationObjective
{
public:
CrossEntropy (
std::vector<multiModelStatsOptimization*> &optimizerStats,
PhraseDictionaryMultiModel * model,
size_t iFeature
) {
m_optimizerStats = optimizerStats;
m_model = model;
m_iFeature = iFeature;
}
double operator() ( const dlib::matrix<double,0,1>& arg) const;
protected:
std::vector<multiModelStatsOptimization*> m_optimizerStats;
PhraseDictionaryMultiModel * m_model;
size_t m_iFeature;
};
#endif
PhraseDictionary *FindPhraseDictionary(const std::string &ptName);
} // end namespace
#endif
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