libopengm-dev 2.3.6+20160905-1build2 / usr / include / opengm / inference / combilp.hxx

/*
 * combiLP.hxx
 *
 *  Created on: Sep 16, 2013
 *      Author: bsavchyn
 */

#ifndef COMBILP_HXX_
#define COMBILP_HXX_
#include <opengm/graphicalmodel/graphicalmodel_manipulator.hxx>
#include <opengm/inference/lpcplex.hxx>
#include <opengm/inference/auxiliary/lp_reparametrization.hxx>
#include <opengm/inference/trws/output_debug_utils.hxx>
#include <opengm/inference/trws/trws_base.hxx>

namespace opengm{

   namespace combilp_base{

      template<class FACTOR>
      void MakeFactorVariablesTrue(const FACTOR& f,std::vector<bool>* pmask)
      {
         for (typename FACTOR::VariablesIteratorType it=f.variableIndicesBegin();
              it!=f.variableIndicesEnd();++it)
            (*pmask)[*it]=true;
      }

      template<class GM>
      void DilateMask(const GM& gm,typename GM::IndexType varId,std::vector<bool>* pmask)
      {
         typename GM::IndexType numberOfFactors=gm.numberOfFactors(varId);
         for (typename GM::IndexType localFactorId=0;localFactorId<numberOfFactors;++localFactorId)
         {
            const typename GM::FactorType& f=gm[gm.factorOfVariable(varId,localFactorId)];
            if (f.numberOfVariables()>1)
               MakeFactorVariablesTrue(f,pmask);
         }
      }

/*
 * inmask and poutmask should be different objects!
 */
      template<class GM>
      void DilateMask(const GM& gm,const std::vector<bool>& inmask, std::vector<bool>* poutmask)
      {
         *poutmask=inmask;
         for (typename GM::IndexType varId=0;varId<inmask.size();++varId)
            if (inmask[varId]) DilateMask(gm,varId,poutmask);

      }

      template<class GM>
      bool LabelingMatching(const std::vector<typename GM::LabelType>& labeling1,const std::vector<typename GM::LabelType>& labeling2,
                            const std::vector<bool>& mask,std::list<typename GM::IndexType>* presult)
      {
         OPENGM_ASSERT(labeling1.size()==mask.size());
         OPENGM_ASSERT(labeling2.size()==mask.size());
         presult->clear();
         for (typename GM::IndexType varId=0;varId<mask.size();++varId)
            if ((mask[varId]) && (labeling1[varId]!=labeling2[varId]))
               presult->push_back(varId);

         return presult->empty();
      }

      template<class GM>
      void GetMaskBoundary(const GM& gm,const std::vector<bool>& mask,std::vector<bool>* boundmask)
      {
         boundmask->assign(mask.size(),false);
         for (typename GM::IndexType varId=0;varId<mask.size();++varId)
         {
            if (!mask[varId]) continue;

            typename GM::IndexType numberOfFactors=gm.numberOfFactors(varId);
            for (typename GM::IndexType localFactorId=0;localFactorId<numberOfFactors;++localFactorId)
            {
               if ((*boundmask)[varId]) break;

               const typename GM::FactorType& f=gm[gm.factorOfVariable(varId,localFactorId)];
               if (f.numberOfVariables()>1)
               {
                  for (typename GM::FactorType::VariablesIteratorType it=f.variableIndicesBegin();
                       it!=f.variableIndicesEnd();++it)
                     if (!mask[*it])
                     {
                        (*boundmask)[varId]=true;
                        break;
                     }
               }
            }
         }
      }

//template<class LPREPARAMETRIZERPARAMETERS>
      struct CombiLP_base_Parameter{

         CombiLP_base_Parameter(size_t maxNumberOfILPCycles=100,
                                bool verbose=false,
                                const std::string& reparametrizedModelFileName="",//will not be saved if empty
                                bool singleReparametrization=true,
                                bool saveProblemMasks=false,
                                std::string maskFileNamePre=""):
            maxNumberOfILPCycles_(maxNumberOfILPCycles),
            verbose_(verbose),
            reparametrizedModelFileName_(reparametrizedModelFileName),
            singleReparametrization_(singleReparametrization),
            saveProblemMasks_(saveProblemMasks),
            maskFileNamePre_(maskFileNamePre),
            threads_(1)
            {};
         virtual ~CombiLP_base_Parameter(){};
         size_t maxNumberOfILPCycles_;
         bool verbose_;
         std::string reparametrizedModelFileName_;
         bool singleReparametrization_;
         bool saveProblemMasks_;
         std::string maskFileNamePre_;
         size_t threads_;

#ifdef TRWS_DEBUG_OUTPUT
         virtual void print(std::ostream& fout)const
            {
               fout <<"maxNumberOfILPCycles="<<maxNumberOfILPCycles_<<std::endl;
               fout <<"verbose"<<verbose_<<std::endl;
               fout <<"reparametrizedModelFileName="<<reparametrizedModelFileName_<<std::endl;
               fout <<"singleReparametrization="<<singleReparametrization_<<std::endl;
               fout <<"saveProblemMasks="<<saveProblemMasks_<<std::endl;
               fout <<"maskFileNamePre="<<maskFileNamePre_<<std::endl;
            }
#endif
      };



      template<class GM, class ACC, class LPREPARAMETRIZER>//TODO: remove default ILP solver
      class CombiLP_base
      {
      public:
         typedef ACC AccumulationType;
         typedef GM GraphicalModelType;

         OPENGM_GM_TYPE_TYPEDEFS;

         typedef CombiLP_base_Parameter Parameter;
         typedef LPREPARAMETRIZER ReparametrizerType;
         typedef typename ReparametrizerType::MaskType MaskType;

         typedef typename opengm::GraphicalModelManipulator<typename ReparametrizerType::ReparametrizedGMType> GMManipulatorType;

         typedef LPCplex<typename GMManipulatorType::MGM, Minimizer> LPCPLEX;//TODO: move to template parameters

         CombiLP_base(LPREPARAMETRIZER& reparametrizer, const Parameter& param
#ifdef TRWS_DEBUG_OUTPUT
                      , std::ostream& fout=std::cout
#endif
            );
         virtual ~CombiLP_base(){};

         const GraphicalModelType& graphicalModel() const { return _lpparametrizer->graphicalModel(); }

         template <class VISITORWRAPPER> InferenceTermination infer(MaskType& mask,const std::vector<LabelType>& lp_labeling,VISITORWRAPPER& vis);

         InferenceTermination arg(std::vector<LabelType>& out, const size_t = 1) const
            {
               out = _labeling;
               return opengm::NORMAL;
            }

         ValueType value() const{return _value;};
         ValueType bound() const{return _bound;}

         void ReparametrizeAndSave();
      private:
         void _Reparametrize(typename ReparametrizerType::ReparametrizedGMType* pgm,const MaskType& mask);
         InferenceTermination _PerformILPInference(GMManipulatorType& modelManipulator,std::vector<LabelType>* plabeling);
         Parameter _parameter;
         ReparametrizerType& _lpparametrizer;
         std::vector<LabelType> _labeling;
         ValueType _value;
         ValueType _bound;
#ifdef TRWS_DEBUG_OUTPUT
         std::ostream& _fout;
#endif
      };

      template<class GM, class ACC, class LPREPARAMETRIZER>
      CombiLP_base<GM,ACC,LPREPARAMETRIZER>::CombiLP_base(LPREPARAMETRIZER& reparametrizer, const Parameter& param
#ifdef TRWS_DEBUG_OUTPUT
                                                          , std::ostream& fout
#endif
         )
   :  _parameter(param)
   ,_lpparametrizer(reparametrizer)
   ,_labeling(_lpparametrizer.graphicalModel().numberOfVariables(),std::numeric_limits<LabelType>::max())
   ,_value(ACC::template neutral<ValueType>())
   ,_bound(ACC::template ineutral<ValueType>())
#ifdef TRWS_DEBUG_OUTPUT
   ,_fout(param.verbose_ ? fout : *OUT::nullstream::Instance())//(fout)
#endif
      {
      };

      template<class GM, class ACC, class LPREPARAMETRIZER>
      InferenceTermination CombiLP_base<GM,ACC,LPREPARAMETRIZER>::_PerformILPInference(GMManipulatorType& modelManipulator,std::vector<LabelType>* plabeling)
      {
         InferenceTermination terminationILP=NORMAL;
         modelManipulator.buildModifiedSubModels();

         std::vector<std::vector<LabelType> > submodelLabelings(modelManipulator.numberOfSubmodels());
         for (size_t modelIndex=0;modelIndex<modelManipulator.numberOfSubmodels();++modelIndex)
         {
            const typename GMManipulatorType::MGM& model=modelManipulator.getModifiedSubModel(modelIndex);
            submodelLabelings[modelIndex].resize(model.numberOfVariables());
            typename LPCPLEX::Parameter param;
            param.integerConstraint_=true;
            param.numberOfThreads_= _parameter.threads_;
            param.timeLimit_ = 3600;                       // TODO: Make this a parameter (1h)
            param.workMem_= 1024*6;                        // TODO: Make this a parameter (6GB)
            LPCPLEX ilpSolver(model,param);
            terminationILP=ilpSolver.infer();

            if ((terminationILP!=NORMAL) && (terminationILP!=CONVERGENCE)){
               return terminationILP;
               //std::cout << "WARNING: solving ILP failed!"<<std::endl;
               //return NORMAL;
            }
            else
               ilpSolver.arg(submodelLabelings[modelIndex]);
         }

         modelManipulator.modifiedSubStates2OriginalState(submodelLabelings,*plabeling);
         return terminationILP;
      }

      template<class GM, class ACC, class LPREPARAMETRIZER>
      template <class VISITORWRAPPER>
      InferenceTermination CombiLP_base<GM,ACC,LPREPARAMETRIZER>::infer(MaskType& mask,const std::vector<LabelType>& lp_labeling,VISITORWRAPPER& vis)
      {
#ifdef TRWS_DEBUG_OUTPUT
         if (!_parameter.singleReparametrization_)
            _fout << "Applying reparametrization for each ILP run ..."<<std::endl;
         else
            _fout << "Applying a single uniform reparametrization..."<<std::endl;

         _fout <<"Switching to ILP."<<std::endl;
#endif

         bool startILP=true;
         typename ReparametrizerType::ReparametrizedGMType gm;
         bool reparametrizedFlag=false;
         InferenceTermination terminationId=TIMEOUT;

         for (size_t i=0;(startILP && (i<_parameter.maxNumberOfILPCycles_));++i)
         {

            if( vis() != visitors::VisitorReturnFlag::ContinueInf ){
               return TIMEOUT;
            }

#ifdef TRWS_DEBUG_OUTPUT
            _fout << "Subproblem "<<i<<" size="<<std::count(mask.begin(),mask.end(),true)<<std::endl;
#endif

            MaskType boundmask(mask.size());
            GetMaskBoundary(_lpparametrizer.graphicalModel(),mask,&boundmask);

#ifdef TRWS_DEBUG_OUTPUT
            if (_parameter.saveProblemMasks_)
            {
               OUT::saveContainer(std::string(_parameter.maskFileNamePre_+"-mask-"+trws_base::any2string(i)+".txt"),mask.begin(),mask.end());
               OUT::saveContainer(std::string(_parameter.maskFileNamePre_+"-boundmask-"+trws_base::any2string(i)+".txt"),boundmask.begin(),boundmask.end());
            }
#endif

            if (_parameter.singleReparametrization_ && (!reparametrizedFlag) )
            {
#ifdef TRWS_DEBUG_OUTPUT
               _fout << "Reparametrizing..."<<std::endl;
#endif
               _Reparametrize(&gm,MaskType(mask.size(),true));
               reparametrizedFlag=true;
            }
            else if (!_parameter.singleReparametrization_)
            {
#ifdef TRWS_DEBUG_OUTPUT
               _fout << "Reparametrizing..."<<std::endl;
#endif
               _Reparametrize(&gm,mask);
            }

            OPENGM_ASSERT(mask.size()==gm.numberOfVariables());

            GMManipulatorType modelManipulator(gm,GMManipulatorType::DROP);
            modelManipulator.unlock();
            modelManipulator.freeAllVariables();
            for (IndexType varId=0;varId<mask.size();++varId)
               if (mask[varId]==0) modelManipulator.fixVariable(varId,lp_labeling[varId]);
            modelManipulator.lock();

            InferenceTermination terminationILP;
            std::vector<LabelType> labeling;
            terminationILP=_PerformILPInference(modelManipulator,&labeling);
            if ((terminationILP!=NORMAL) && (terminationILP!=CONVERGENCE))
            {
               _labeling=lp_labeling;
#ifdef TRWS_DEBUG_OUTPUT
               _fout << "ILP solver failed to solve the problem. LP solver results will be saved." <<std::endl;
#endif
               
               //return NORMAL;
               return terminationILP;
            }

#ifdef TRWS_DEBUG_OUTPUT
            _fout <<"Boundary size="<<std::count(boundmask.begin(),boundmask.end(),true)<<std::endl;
#endif

            std::list<IndexType> result;
            if (LabelingMatching<GM>(lp_labeling,labeling,boundmask,&result))
            {
               startILP=false;
               _labeling=labeling;
               _value=_bound=_lpparametrizer.graphicalModel().evaluate(_labeling);
               terminationId=NORMAL;
#ifdef TRWS_DEBUG_OUTPUT
               _fout <<"Solved! Optimal energy="<<value()<<std::endl;
#endif
            }
            else
            {
#ifdef TRWS_DEBUG_OUTPUT
               _fout <<"Adding "<<result.size()<<" nodes."<<std::endl;
               if (_parameter.saveProblemMasks_)
                  OUT::saveContainer(std::string(_parameter.maskFileNamePre_+"-added-"+trws_base::any2string(i)+".txt"),result.begin(),result.end());
#endif
               for (typename std::list<IndexType>::const_iterator it=result.begin();it!=result.end();++it)
                  DilateMask(gm,*it,&mask);
            }
         }

         return terminationId;
      }


      template<class GM, class ACC, class LPREPARAMETRIZER>
      void CombiLP_base<GM,ACC,LPREPARAMETRIZER>::
      _Reparametrize(typename ReparametrizerType::ReparametrizedGMType* pgm,const MaskType& mask)
      {
         _lpparametrizer.reparametrize(&mask);
         _lpparametrizer.getReparametrizedModel(*pgm);
      }

      template<class GM, class ACC, class LPREPARAMETRIZER>
      void CombiLP_base<GM,ACC,LPREPARAMETRIZER>::
      ReparametrizeAndSave()
      {
         typename ReparametrizerType::ReparametrizedGMType gm;
         _Reparametrize(&gm,MaskType(_lpparametrizer.graphicalModel().numberOfVariables(),true));
         store_into_explicit(gm, _parameter.reparametrizedModelFileName_);
      }

   }//namespace combilp_base  =========================================================================

   template<class LPSOLVERPARAMETERS,class REPARAMETRIZERPARAMETERS>
   struct CombiLP_Parameter : public combilp_base::CombiLP_base_Parameter
   {
      typedef combilp_base::CombiLP_base_Parameter parent;
      CombiLP_Parameter(const LPSOLVERPARAMETERS& lpsolverParameter=LPSOLVERPARAMETERS(),
			const REPARAMETRIZERPARAMETERS& repaParameter=REPARAMETRIZERPARAMETERS(),
			size_t maxNumberOfILPCycles=100,
			bool verbose=false,
			bool saveReparametrizedModel=false,
			const std::string& reparametrizedModelFileName="",
			bool singleReparametrization=true,
			bool saveProblemMasks=false,
			std::string maskFileNamePre=""):
         parent(maxNumberOfILPCycles,
                verbose,
                reparametrizedModelFileName,
                singleReparametrization,
                saveProblemMasks,
                maskFileNamePre),
         lpsolverParameter_(lpsolverParameter),
         repaParameter_(repaParameter)
         {
         };
      LPSOLVERPARAMETERS lpsolverParameter_;
      REPARAMETRIZERPARAMETERS repaParameter_;

#ifdef TRWS_DEBUG_OUTPUT
      void print(std::ostream& fout)const
         {
            parent::print(fout);
            fout << "== lpsolverParameters: =="<<std::endl;
            lpsolverParameter_.print(fout);
         }
#endif
   };

   /// \brief CombiLP\n\n
   /// Savchynskyy, B. and Kappes, J. H. and Swoboda, P. and Schnoerr, C.:
   /// "Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation".
   /// In NIPS, 2013.
   /// \ingroup inference 

   template<class GM, class ACC, class LPSOLVER>//TODO: remove default ILP solver
   class CombiLP : public Inference<GM, ACC>
   {
   public:
      typedef typename LPSOLVER::ReparametrizerType ReparametrizerType;
      typedef combilp_base::CombiLP_base<GM,ACC,ReparametrizerType> BaseType;

      typedef ACC AccumulationType;
      typedef GM GraphicalModelType;

        template<class _GM>
        struct RebindGm{
            typedef CombiLP<_GM, ACC, LPSOLVER> type;
        };

        template<class _GM,class _ACC>
        struct RebindGmAndAcc{
            typedef CombiLP<_GM, _ACC, LPSOLVER> type;
        };


      OPENGM_GM_TYPE_TYPEDEFS;
      typedef visitors::VerboseVisitor<CombiLP<GM, ACC, LPSOLVER> > VerboseVisitorType;
      typedef visitors::EmptyVisitor<CombiLP<GM, ACC, LPSOLVER> >   EmptyVisitorType;
      typedef visitors::TimingVisitor<CombiLP<GM, ACC, LPSOLVER> >  TimingVisitorType;

      typedef CombiLP_Parameter<typename LPSOLVER::Parameter,typename ReparametrizerType::Parameter> Parameter;
      typedef typename ReparametrizerType::MaskType MaskType;
      typedef typename BaseType::GMManipulatorType GMManipulatorType;

      typedef LPCplex<typename GMManipulatorType::MGM, ACC> LPCPLEX;//TODO: move to template parameters

      CombiLP(const GraphicalModelType& gm, const Parameter& param
#ifdef TRWS_DEBUG_OUTPUT
              , std::ostream& fout=std::cout
#endif
         );
      virtual ~CombiLP(){if (_plpparametrizer!=0) delete _plpparametrizer;};
      std::string name() const{ return "CombiLP"; }
      const GraphicalModelType& graphicalModel() const { return _lpsolver.graphicalModel(); }
      InferenceTermination infer()
         {
            EmptyVisitorType vis;
            return infer(vis);
         };

      template<class VISITOR> InferenceTermination infer(VISITOR & visitor);

      InferenceTermination arg(std::vector<LabelType>& out, const size_t = 1) const
         {
            out = _labeling;
            return opengm::NORMAL;
         }
      virtual ValueType bound() const{return _bound;};
      virtual ValueType value() const{return _value;};
   private:
      Parameter _parameter;
      LPSOLVER _lpsolver;
      ReparametrizerType* _plpparametrizer;
      BaseType _base;
      std::vector<LabelType> _labeling;
      ValueType _value;
      ValueType _bound;
#ifdef TRWS_DEBUG_OUTPUT
      std::ostream& _fout;
#endif
   };

   template<class GM, class ACC, class LPSOLVER>
   CombiLP<GM,ACC,LPSOLVER>::CombiLP(const GraphicalModelType& gm, const Parameter& param
#ifdef TRWS_DEBUG_OUTPUT
                                     , std::ostream& fout
#endif
      )
  : _parameter(param)
  ,_lpsolver(gm,param.lpsolverParameter_
#ifdef TRWS_DEBUG_OUTPUT
             ,(param.lpsolverParameter_.verbose_ ? fout : *OUT::nullstream::Instance())//fout
#endif
     )
  ,_plpparametrizer(_lpsolver.getReparametrizer(_parameter.repaParameter_))//TODO: parameters of the reparametrizer come here
  ,_base(*_plpparametrizer, param
#ifdef TRWS_DEBUG_OUTPUT
         ,fout
#endif
     )
  ,_labeling(gm.numberOfVariables(),std::numeric_limits<LabelType>::max())
  ,_value(_lpsolver.value())
  ,_bound(_lpsolver.bound())
#ifdef TRWS_DEBUG_OUTPUT
  ,_fout(param.verbose_ ? fout : *OUT::nullstream::Instance())//(fout)
#endif
   {
#ifdef TRWS_DEBUG_OUTPUT
      _fout << "Parameters of the "<< name() <<" algorithm:"<<std::endl;
      param.print(_fout);
#endif
   };

   template<class GM, class ACC, class LPSOLVER>
   template<class VISITOR>
   InferenceTermination CombiLP<GM,ACC,LPSOLVER>::infer(VISITOR & visitor)
   {
#ifdef TRWS_DEBUG_OUTPUT
      _fout <<"Running LP solver "<<_lpsolver.name()<<std::endl;
#endif
      visitor.begin(*this);

      _lpsolver.infer();
      _value=_lpsolver.value();
      _bound=_lpsolver.bound();
      _lpsolver.arg(_labeling);

      if( visitor(*this) != visitors::VisitorReturnFlag::ContinueInf ){
         visitor.end(*this);
         return NORMAL;
      }

      std::vector<LabelType> labeling_lp;
      MaskType initialmask;
      _plpparametrizer->reparametrize();
      //_plpparametrizer->getArcConsistency(&initialmask,&labeling_lp);
      _lpsolver.getTreeAgreement(initialmask,&labeling_lp);

#ifdef TRWS_DEBUG_OUTPUT
      _fout <<"Energy of the labeling consistent with the arc consistency ="<<_lpsolver.graphicalModel().evaluate(labeling_lp)<<std::endl;
      _fout <<"Arc inconsistent set size ="<<std::count(initialmask.begin(),initialmask.end(),false)<<std::endl;
#endif

#ifdef TRWS_DEBUG_OUTPUT
      _fout << "Trivializing."<<std::endl;
#endif

#ifdef	WITH_HDF5
      if (_parameter.reparametrizedModelFileName_.compare("")!=0)
      {
#ifdef	TRWS_DEBUG_OUTPUT
         _fout << "Saving reparametrized model..."<<std::endl;
#endif
         if( visitor(*this) != visitors::VisitorReturnFlag::ContinueInf ){
            visitor.end(*this);
            return NORMAL;
         }
         _base.ReparametrizeAndSave();
         if( visitor(*this) != visitors::VisitorReturnFlag::ContinueInf ){
            visitor.end(*this);
            return NORMAL;
         }
      }
#endif

      if (std::count(initialmask.begin(),initialmask.end(),false)==0)
         return NORMAL;

      trws_base::transform_inplace(initialmask.begin(),initialmask.end(),std::logical_not<bool>());

      MaskType mask;
      combilp_base::DilateMask(_lpsolver.graphicalModel(),initialmask,&mask);

      visitors::VisitorWrapper<VISITOR,CombiLP<GM,ACC,LPSOLVER> > vis(&visitor,this);
      InferenceTermination terminationVal=_base.infer(mask,labeling_lp,vis);
      //InferenceTermination terminationVal=_base.infer(mask,labeling_lp,trws_base::VisitorWrapper<VISITOR,CombiLP<GM,ACC,LPSOLVER> >(&visitor,this));
      if ( (terminationVal==NORMAL) || (terminationVal==CONVERGENCE) )
      {
         _value=_base.value();
         _bound=_base.bound();
         _base.arg(_labeling);
      }
      /*else{
         visitor.end(*this);
         return ;  
         }*/

      visitor.end(*this);
      //return terminationVal;
      return NORMAL;
   }


}


#endif /* COMBILP_HXX_ */