logloopy.cpp

The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full

      }
    }

    // update beliefs and check for convergence
//     dBel = 0.0;
    dBel = -HUGE_VAL;
    
    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 min_beliefs_i = numeric_limits<double>::infinity();
      double min_beliefs_i = HUGE_VAL;
      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];
	  int nj = 0;
	  while (ia_mrf->adjMat[j][nj] != i) {
	    nj++;
	  }
	  new_beliefs[i][xi] += l_messages[j][nj][xi];
	}
	if (new_beliefs[i][xi] < min_beliefs_i) {
	  min_beliefs_i = new_beliefs[i][xi];
	}
      }
      double norm_dBel_i = -HUGE_VAL;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	new_beliefs[i][xi] -= min_beliefs_i;
	norm_dBel_i = AddLog(norm_dBel_i, 2*AbsSubLog(-new_beliefs[i][xi], -ia_beliefs[i][xi])); // + log |e^thisVal - e^otherVal|^2
      }
      norm_dBel_i = 0.5*norm_dBel_i;

      dBel = AddLog(dBel, norm_dBel_i);
    }
    freeBeliefs();
    ia_beliefs = new_beliefs;
    new_beliefs = 0;

//     mexPrintf("*** %d. dBel = %f\n", nIter, dBel);
  }

  if (l_strategy == PARALLEL) {
    for (int i=0; i<ia_mrf->N; i++) {
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	delete[] new_messages[i][n];
      }
      delete[] new_messages[i];
    }
    delete[] new_messages;
    new_messages = 0;
  }
 
  if (nIter > l_maxIter) {
    (*converged) = -1;
    mexPrintf("c-Loopy: messages decreased to zero, iterating stopped\n");
  }
  else {
    if (dBel<=l_th) {
      (*converged) = nIter;
      mexPrintf("c-Loopy: converged in %d iterations\n",nIter);
    }
    else {
      (*converged) = -1;
      mexPrintf("c-Loopy: did not converge after %d iterations\n",nIter);
    }
  }

  if (!ll_logBels) {
    for (int i=0; i<ia_mrf->N; i++) {
      double sum_beliefs_i = 0.0;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	ia_beliefs[i][xi] = exp(- ia_beliefs[i][xi] / ia_mrf->getTemperature());
	sum_beliefs_i += ia_beliefs[i][xi];
      }
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	if (sum_beliefs_i > 0.0) {
	  ia_beliefs[i][xi] /= sum_beliefs_i;
	}
      }
    }
  }
  return ia_beliefs;
  
}

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

  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->neighbNum(i)];
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	new_messages[i][n] = new double[ia_mrf->V[j]];
	for (int xj=0; xj<ia_mrf->V[j]; xj++) {
	  new_messages[i][n][xj] = l_messages[i][n][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]];
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	incoming[xi] = 0.0;
      }
      // get incoming messages
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	int nj = 0;
	while (ia_mrf->adjMat[j][nj] != i) {
	  nj++;
	}
	for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	  incoming[xi] += (l_messages[j][nj][xi] * l_trwRho[i][n]);
	}
      }
      
      // calculate outgoing messages
      for (int n=0; n<ia_mrf->neighbNum(i); n++) {
	int j = ia_mrf->adjMat[i][n];
	int nj = 0;
	while (ia_mrf->adjMat[j][nj] != i) {
	  nj++;
	}

	double norm_msg = HUGE_VAL;
	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] = -HUGE_VAL;
	      break;
	    case MAX:
	      outgoing[xj] = numeric_limits<double>::infinity();
	      break;
	    default:
	      break;
	  }
	    
	  for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	    double outM = (ia_mrf->pairEnergy(i,n,xi,xj) / l_trwRho[i][n]) + ia_mrf->localMat[i][xi] +
	      incoming[xi] - l_messages[j][nj][xi];

	    switch (l_sumOrMax) {
	      case SUM:
    		outgoing[xj] = AddLogFactor(outgoing[xj],outM,-ia_mrf->getTemperature());
//    		outgoing[xj] = AddLog(outgoing[xj],outM);
		break;
	      case MAX:
		if (outM < outgoing[xj]) {
		  outgoing[xj] = outM;
		}
		break;
	      default:
		break;
	    }
	  }

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

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

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

	    default:
	      break;
	  }
	}
	delete[] outgoing;
	outgoing = 0;
      }
      delete[] incoming;
      incoming = 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][n][xj] = new_messages[i][n][xj];
	  }
	}
      }
    }

    // update beliefs and check for convergence
    
//     dBel = 0.0;
     dBel = -HUGE_VAL;
    
    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 min_beliefs_i = numeric_limits<double>::infinity();
      double min_beliefs_i = HUGE_VAL;
      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];
	  int nj = 0;
	  while (ia_mrf->adjMat[j][nj] != i) {
	    nj++;
	  }
	  new_beliefs[i][xi] += (l_messages[j][nj][xi] * l_trwRho[i][n]);
	}
	if (new_beliefs[i][xi] < min_beliefs_i) {
	  min_beliefs_i = new_beliefs[i][xi];
	}
      }
//       double norm_dBel_i = 0.0;
      double norm_dBel_i = -HUGE_VAL;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
 	new_beliefs[i][xi] -= min_beliefs_i;
	norm_dBel_i = AddLog(norm_dBel_i, 2*AbsSubLog(-new_beliefs[i][xi], -ia_beliefs[i][xi])); // + log |e^thisVal - e^otherVal|^2
// 	norm_dBel_i += pow((new_beliefs[i][xi] - ia_beliefs[i][xi]), 2.0);
      }
//       norm_dBel_i = pow(norm_dBel_i, 0.5);
      norm_dBel_i = 0.5*norm_dBel_i;

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

//     mexPrintf("*** %d. dBel = %f\n", nIter, dBel);
  }

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

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

  if (!ll_logBels) {
    for (int i=0; i<ia_mrf->N; i++) {
      double sum_beliefs_i = 0.0;
      for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	ia_beliefs[i][xi] = exp(- ia_beliefs[i][xi] / ia_mrf->getTemperature());
	sum_beliefs_i += ia_beliefs[i][xi];
      }
      if (sum_beliefs_i > 0.0) {
	for (int xi=0; xi<ia_mrf->V[i]; xi++) {
	  ia_beliefs[i][xi] /= sum_beliefs_i;
	}
      }
    }
  }
  return ia_beliefs;
    
}