loopystime.cpp

来自「The package includes 3 Matlab-interfaces」· C++ 代码 · 共 647 行 · 第 1/2 页

	    }
	  }
	    
	  if (outgoing[xj] < epsilon)
	    outgoing[xj] = epsilon;
	  sum_outgoing_to_j += outgoing[xj];
	}
	for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	  if (sum_outgoing_to_j > 0.0) {
	    outgoing[xj] /= sum_outgoing_to_j;
	  }
	    
	  if (!(outgoing[xj]>0.0)) {
 	    nIter = l_maxIter + 1;
 	    break;
	  }
	  
	  switch (l_strategy) {

	    case SEQUENTIAL:
	      l_messages[i][j][xj] = outgoing[xj];
	      break;

	    case PARALLEL:
	      new_messages[i][j][xj] = outgoing[xj];
	      break;

	    default:
	      break;
	  }
	}
	delete[] outgoing;
	outgoing = 0;
      }
      delete[] incoming;
      incoming = 0;
      delete[] factor;
      factor = 0;
    }

    if (l_strategy == PARALLEL) {
      for (int i=0; i<ia_mrf->N; i++) {
	for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	  int j = ia_mrf->adjMat[i][n];
	  for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	    l_messages[i][j][xj] = new_messages[i][j][xj];
	  }
	}
      }
    }

    // update beliefs and check for convergence
    
    dBel = 0.0;
    
    double** new_beliefs = new double*[ia_mrf->N];
    
    for (int i=0; i<ia_mrf->N; i++) {
      new_beliefs[i] = new double[ia_mrf->V[i]];
      double sum_beliefs_i = 0.0;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	new_beliefs[i][xi] = ia_mrf->localMat[i][xi];
	for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	  int j = ia_mrf->adjMat[i][n];
	  new_beliefs[i][xi] *= l_messages[j][i][xi];
	}
	sum_beliefs_i += new_beliefs[i][xi];
      }

      double norm_dBel_i = 0.0;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	if (sum_beliefs_i > 0.0) {
	  new_beliefs[i][xi] /= sum_beliefs_i;
	}
	norm_dBel_i += pow((new_beliefs[i][xi] - ia_beliefs[i][xi]), 2.0);
      }
      norm_dBel_i = pow(norm_dBel_i, 0.5);

      dBel += norm_dBel_i;
    }
    freeBeliefs();
    ia_beliefs = new_beliefs;
    new_beliefs = 0;

  }

  if (l_strategy == PARALLEL) {
    for (int i=0; i<ia_mrf->N; i++) {
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	delete[] new_messages[i][j];
      }
      delete[] new_messages[i];
    }
    delete[] new_messages;
    new_messages = 0;
  }

  if (nIter > l_maxIter) {
    (*converged) = -1;
    mexPrintf("c-LoopySTime: messages decreased to zero, iterating stopped\n");
  }
  else {
    if (dBel<=l_th) {
      (*converged) = nIter;
      mexPrintf("c-LoopySTime: converged in %d iterations\n",nIter);
      //    cout << "c-GBP: converged in " << nIter << " iterations " << endl;
    }
    else {
      (*converged) = -1;
      mexPrintf("c-LoopySTime: did not converge\n");
      //    cout << "c-GBP: did not converge" << endl;
    }
  }
  
  return ia_beliefs;
  
}

double** LoopySTime::inferenceTRBP(int* converged) {

  double epsilon = pow(10.,-200);

  double dBel = l_th+1.0;
  int nIter = 0;
  
  double*** new_messages = 0;
  if (l_strategy == PARALLEL) {
    new_messages = new double**[ia_mrf->N];
    for (int i=0; i<ia_mrf->N; i++) {
      new_messages[i] = new double*[ia_mrf->N];
      for (int j=0; j<ia_mrf->N; j++) {
	new_messages[i][j] = 0;
      }
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	new_messages[i][j] = new double[ia_mrf->V[j]];
	for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	  new_messages[i][j][xj] = l_messages[i][j][xj];
	}
      }
    }
  }

  while (dBel>l_th && nIter<l_maxIter) {
    nIter++;

    for (int i=0; i<ia_mrf->N; i++) {

      // init the incoming messages to 1
      double* incoming = new double[ia_mrf->V[i]];
      double* factor = new double[ia_mrf->neighbNum(i)];
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	incoming[xi] = 1.0;
      }
      // get incoming messages
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	factor[n] = 0.0;
	for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	  incoming[xi] *= pow(l_messages[j][i][xi], l_trwRho[i][n]);
	  factor[n] += incoming[xi];
	}
	for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	  incoming[xi] /= factor[n];
	}
      }
      
      // calculate outgoing messages
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];

	double sum_outgoing_to_j = 0.0;
	double* outgoing = new double[ia_mrf->V[j]];
	
	for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	  
	  switch (l_sumOrMax) {
	    case SUM:
	      outgoing[xj] = 0.0;
	      break;
	    case MAX:
	      outgoing[xj] = -1.0;
	      break;
	    default:
	      break;
	  }
	    
	  for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	    double outM = ia_mrf->pairPotential(i,n,xi,xj) * ia_mrf->localMat[i][xi] *
	      incoming[xi] / l_messages[j][i][xi]; // the pair-potentials are raised by 1/rho in the matlab interface

	    switch (l_sumOrMax) {
	      case SUM:
		outgoing[xj] += outM;
		break;
	      case MAX:
		if (outM > outgoing[xj]) {
		  outgoing[xj] = outM;
		}
		break;
	      default:
		break;
	    }
	  }

	  if (outgoing[xj] < epsilon)
	    outgoing[xj] = epsilon;
	  sum_outgoing_to_j += outgoing[xj];
	}

	for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	  if (sum_outgoing_to_j > 0.0) {
	    outgoing[xj] /= sum_outgoing_to_j;
	  }
	    
	  if (!(outgoing[xj]>0.0)) {
 	    nIter = l_maxIter + 1;
 	    break;
	  }
	    
	  switch (l_strategy) {

	    case SEQUENTIAL:
	      l_messages[i][j][xj] = outgoing[xj];
	      break;

	    case PARALLEL:
	      new_messages[i][j][xj] = outgoing[xj];
	      break;

	    default:
	      break;
	  }
	}
	delete[] outgoing;
	outgoing = 0;
      }
      delete[] incoming;
      incoming = 0;
      delete[] factor;
      factor = 0;
    }

    if (l_strategy == PARALLEL) {
      for (int i=0; i<ia_mrf->N; i++) {
	for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	  int j = ia_mrf->adjMat[i][n];
	  for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	    l_messages[i][j][xj] = new_messages[i][j][xj];
	  }
	}
      }
    }

    // update beliefs and check for convergence
    
    dBel = 0.0;
    
    double** new_beliefs = new double*[ia_mrf->N];
    
    for (int i=0; i<ia_mrf->N; i++) {
      new_beliefs[i] = new double[ia_mrf->V[i]];
      double sum_beliefs_i = 0.0;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	new_beliefs[i][xi] = ia_mrf->localMat[i][xi];
	for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	  int j = ia_mrf->adjMat[i][n];
	  new_beliefs[i][xi] *= pow(l_messages[j][i][xi],l_trwRho[i][n]);
	}
	sum_beliefs_i += new_beliefs[i][xi];
      }

      double norm_dBel_i = 0.0;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	if (sum_beliefs_i > 0.0) {
	  new_beliefs[i][xi] /= sum_beliefs_i;
	}
	norm_dBel_i += pow((new_beliefs[i][xi] - ia_beliefs[i][xi]), 2.0);
      }
      norm_dBel_i = pow(norm_dBel_i, 0.5);

      dBel += norm_dBel_i;
    }
    freeBeliefs();
    ia_beliefs = new_beliefs;
    new_beliefs = 0;

  }

  if (l_strategy == PARALLEL) {
    for (int i=0; i<ia_mrf->N; i++) {
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	delete[] new_messages[i][j];
      }
      delete[] new_messages[i];
    }
    delete[] new_messages;
    new_messages = 0;
  }

  if (nIter > l_maxIter) {
    (*converged) = -1;
    mexPrintf("c-LoopySTime: messages decreased to zero, iterating stopped\n");
  }
  else {
    if (dBel<=l_th) {
      (*converged) = nIter;
      mexPrintf("c-LoopySTime: converged in %d iterations\n",nIter);
      //    cout << "c-GBP: converged in " << nIter << " iterations " << endl;
    }
    else {
      (*converged) = -1;
      mexPrintf("c-LoopySTime: did not converge\n");
      //    cout << "c-GBP: did not converge" << endl;
    }
  }
  
  return ia_beliefs;
  
}