<commit_before>#ifndef TRWS_INTERFACE_HXX_
#define TRWS_INTERFACE_HXX_
#include <opengm/inference/inference.hxx>
#include <opengm/inference/trws/trws_base.hxx>

namespace opengm{

template<class ValueType,class GM>
struct TRWSi_Parameter : public trws_base::MaxSumTRWS_Parameters<ValueType>
{
	typedef trws_base::MaxSumTRWS_Parameters<ValueType> parent;
	typedef trws_base::DecompositionStorage<GM> Storage;
	TRWSi_Parameter(size_t maxIternum=0,
			        typename Storage::StructureType decompositionType=Storage::GENERALSTRUCTURE,
			        ValueType precision=1.0,
			        bool absolutePrecision=true,
			        bool verbose=false)
	:parent(maxIternum,precision,absolutePrecision),
	 decompositionType_(decompositionType),
	 verbose_(verbose){}

	typename Storage::StructureType decompositionType_;
	bool verbose_;

	size_t& maxNumberOfIterations(){return parent::maxNumberOfIterations_;}
	ValueType& precision(){return parent::precision_;}
	bool& isAbsolutePrecision(){return parent::absolutePrecision_;};//true for absolute precision, false for relative w.r.t. dual value
	ValueType& minRelativeDualImprovement(){return parent::minRelativeDualImprovement_;}
	bool& fastComputations(){return parent::fastComputations_;}
	bool& canonicalNormalization(){return parent::canonicalNormalization_;};
	typename Storage::StructureType& decompositionType(){return decompositionType_;}
	bool& verbose(){return verbose_;};
};

//! [class trwsi]
/// TRWSi - tree-reweighted sequential message passing
/// Based on the paper:
/// <NAME>
/// Convergent tree-reweighted message passing for energy minimization. IEEE Trans. on PAMI, 28(10):1568–1583, 2006.
///
/// it provides:
/// * primal integer approximate solution for MRF energy minimization problem
/// * lower bound for a solution of the problem.
///
///
/// TODO: Code can be significantly speeded up!
///
/// Corresponding author: <NAME>
///
///\ingroup inference

template<class GM, class ACC>
class TRWSi : public Inference<GM, ACC>
{
public:
  typedef ACC AccumulationType;
  typedef GM GraphicalModelType;
  OPENGM_GM_TYPE_TYPEDEFS;
  typedef trws_base::MaxSumTRWS<GM, ACC> Solver;
  typedef trws_base::DecompositionStorage<GM> Storage;
  typedef VerboseVisitor<TRWSi<GM, ACC> > VerboseVisitorType;
  typedef TimingVisitor<TRWSi<GM, ACC> > TimingVisitorType;
  typedef EmptyVisitor< TRWSi<GM, ACC> > EmptyVisitorType;

  typedef TRWSi_Parameter<ValueType,GM> Parameter;

  TRWSi(const GraphicalModelType& gm, const Parameter& param
#ifdef TRWS_DEBUG_OUTPUT
		  ,std::ostream& fout=std::cout
#endif
  ):
						  _storage(gm,param.decompositionType_),
						  _solver(_storage,param
#ifdef TRWS_DEBUG_OUTPUT
								  ,(param.verbose_ ? fout : *OUT::nullstream::Instance()) //fout
#endif
						  ){
	  if (param.maxNumberOfIterations_==0) throw
			  std::runtime_error("TRWSi: Maximal number of iterations (> 0) has to be specified!");
  }
  std::string name() const{ return "TRWSi"; }
  const GraphicalModelType& graphicalModel() const { return _storage.masterModel(); }
  InferenceTermination infer(){
	  _solver.infer();
	  return NORMAL;
  };

  template<class VISITOR> InferenceTermination infer(VISITOR & visitor){
	  trws_base::VisitorWrapper<VISITOR,TRWSi<GM, ACC> > visiwrap(&visitor,this);
	  _solver.infer(visiwrap);<commit_msg>template list fixed in TRWSi solver<commit_after>#ifndef TRWS_INTERFACE_HXX_
#define TRWS_INTERFACE_HXX_
#include <opengm/inference/inference.hxx>
#include <opengm/inference/trws/trws_base.hxx>

namespace opengm{

template<class GM>
struct TRWSi_Parameter : public trws_base::MaxSumTRWS_Parameters<typename GM::ValueType>
{
	typedef typename GM::ValueType ValueType;
	typedef trws_base::MaxSumTRWS_Parameters<ValueType> parent;
	typedef trws_base::DecompositionStorage<GM> Storage;

	TRWSi_Parameter(size_t maxIternum=0,
			        typename Storage::StructureType decompositionType=Storage::GENERALSTRUCTURE,
			        ValueType precision=1.0,
			        bool absolutePrecision=true,
			        bool verbose=false)
	:parent(maxIternum,precision,absolutePrecision),
	 decompositionType_(decompositionType),
	 verbose_(verbose){}

	typename Storage::StructureType decompositionType_;
	bool verbose_;

	size_t& maxNumberOfIterations(){return parent::maxNumberOfIterations_;}
	ValueType& precision(){return parent::precision_;}
	bool& isAbsolutePrecision(){return parent::absolutePrecision_;};//true for absolute precision, false for relative w.r.t. dual value
	ValueType& minRelativeDualImprovement(){return parent::minRelativeDualImprovement_;}
	bool& fastComputations(){return parent::fastComputations_;}
	bool& canonicalNormalization(){return parent::canonicalNormalization_;};
	typename Storage::StructureType& decompositionType(){return decompositionType_;}
	bool& verbose(){return verbose_;};
};

//! [class trwsi]
/// TRWSi - tree-reweighted sequential message passing
/// Based on the paper:
/// <NAME>
/// Convergent tree-reweighted message passing for energy minimization. IEEE Trans. on PAMI, 28(10):1568–1583, 2006.
///
/// it provides:
/// * primal integer approximate solution for MRF energy minimization problem
/// * lower bound for a solution of the problem.
///
///
/// TODO: Code can be significantly speeded up!
///
/// Corresponding author: <NAME>
///
///\ingroup inference

template<class GM, class ACC>
class TRWSi : public Inference<GM, ACC>
{
public:
  typedef ACC AccumulationType;
  typedef GM GraphicalModelType;
  OPENGM_GM_TYPE_TYPEDEFS;
  typedef trws_base::MaxSumTRWS<GM, ACC> Solver;
  typedef trws_base::DecompositionStorage<GM> Storage;
  typedef VerboseVisitor<TRWSi<GM, ACC> > VerboseVisitorType;
  typedef TimingVisitor<TRWSi<GM, ACC> > TimingVisitorType;
  typedef EmptyVisitor< TRWSi<GM, ACC> > EmptyVisitorType;

  typedef TRWSi_Parameter<GM> Parameter;

  TRWSi(const GraphicalModelType& gm, const Parameter& param
#ifdef TRWS_DEBUG_OUTPUT
		  ,std::ostream& fout=std::cout
#endif
  ):
						  _storage(gm,param.decompositionType_),
						  _solver(_storage,param
#ifdef TRWS_DEBUG_OUTPUT
								  ,(param.verbose_ ? fout : *OUT::nullstream::Instance()) //fout
#endif
						  ){
	  if (param.maxNumberOfIterations_==0) throw
			  std::runtime_error("TRWSi: Maximal number of iterations (> 0) has to be specified!");
  }
  std::string name() const{ return "TRWSi"; }
  const GraphicalModelType& graphicalModel() const { return _storage.masterModel(); }
  InferenceTermination infer(){
	  _solver.infer();
	  return NORMAL;
  };

  template<class VISITOR> InferenceTermination infer(VISITOR & visitor){
	  trws_base::VisitorWrapper<VISITOR,TRWSi<GM, ACC> > visiwrap(&visitor,this);
	  _solver.infer(visiwrap);
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