Actual source code: valid.c
petsc-3.10.5 2019-03-28
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      1:  #include <petsc/private/matimpl.h>
      2:  #include <petscsf.h>

      4: PETSC_EXTERN PetscErrorCode MatColoringCreateBipartiteGraph(MatColoring,PetscSF *,PetscSF *);

      6: PETSC_EXTERN PetscErrorCode MatColoringTest(MatColoring mc,ISColoring coloring)
      7: {
      9:   Mat            m=mc->mat;
     10:   PetscSF        etor,etoc;
     11:   PetscInt       s,e;
     12:   PetscInt       ncolors,nrows,ncols;
     13:   IS             *colors;
     14:   PetscInt       i,j,k,l;
     15:   PetscInt       *staterow,*statecol,*statespread;
     16:   PetscInt       nindices;
     17:   const PetscInt *indices;
     18:   PetscInt       dist=mc->dist;
     19:   const PetscInt *degrees;
     20:   PetscInt       *stateleafrow,*stateleafcol,nleafrows,nleafcols,idx,nentries,maxcolors;
     21:   MPI_Datatype   itype = MPIU_INT;

     24:   MatColoringGetMaxColors(mc,&maxcolors);
     25:   /* get the communication structures and the colors */
     26:   MatColoringCreateBipartiteGraph(mc,&etoc,&etor);
     27:   ISColoringGetIS(coloring,&ncolors,&colors);
     28:   PetscSFGetGraph(etor,&nrows,&nleafrows,NULL,NULL);
     29:   PetscSFGetGraph(etoc,&ncols,&nleafcols,NULL,NULL);
     30:   MatGetOwnershipRangeColumn(m,&s,&e);
     31:   PetscMalloc1(ncols,&statecol);
     32:   PetscMalloc1(nrows,&staterow);
     33:   PetscMalloc1(nleafcols,&stateleafcol);
     34:   PetscMalloc1(nleafrows,&stateleafrow);

     36:   for (l=0;l<ncolors;l++) {
     37:     if (l > maxcolors) break;
     38:     for (k=0;k<ncols;k++) {
     39:       statecol[k] = -1;
     40:     }
     41:     ISGetLocalSize(colors[l],&nindices);
     42:     ISGetIndices(colors[l],&indices);
     43:     for (k=0;k<nindices;k++) {
     44:       statecol[indices[k]-s] = indices[k];
     45:     }
     46:     ISRestoreIndices(colors[l],&indices);
     47:     statespread = statecol;
     48:     for (k=0;k<dist;k++) {
     49:       if (k%2 == 1) {
     50:         PetscSFComputeDegreeBegin(etor,&degrees);
     51:         PetscSFComputeDegreeEnd(etor,&degrees);
     52:         nentries=0;
     53:         for(i=0;i<nrows;i++) {
     54:           nentries += degrees[i];
     55:         }
     56:         idx=0;
     57:         for(i=0;i<nrows;i++) {
     58:           for (j=0;j<degrees[i];j++) {
     59:             stateleafrow[idx] = staterow[i];
     60:             idx++;
     61:           }
     62:           statecol[i]=0.;
     63:         }
     64:         if (idx != nentries) SETERRQ2(PetscObjectComm((PetscObject)mc),PETSC_ERR_NOT_CONVERGED,"Bad number of entries %d vs %d",idx,nentries);
     65:         PetscLogEventBegin(MATCOLORING_Comm,mc,0,0,0);
     66:         PetscSFReduceBegin(etoc,itype,stateleafrow,statecol,MPI_MAX);
     67:         PetscSFReduceEnd(etoc,itype,stateleafrow,statecol,MPI_MAX);
     68:         PetscLogEventEnd(MATCOLORING_Comm,mc,0,0,0);
     69:         statespread = statecol;
     70:       } else {
     71:         PetscSFComputeDegreeBegin(etoc,&degrees);
     72:         PetscSFComputeDegreeEnd(etoc,&degrees);
     73:         nentries=0;
     74:         for(i=0;i<ncols;i++) {
     75:           nentries += degrees[i];
     76:         }
     77:         idx=0;
     78:         for(i=0;i<ncols;i++) {
     79:           for (j=0;j<degrees[i];j++) {
     80:             stateleafcol[idx] = statecol[i];
     81:             idx++;
     82:           }
     83:           staterow[i]=0.;
     84:         }
     85:         if (idx != nentries) SETERRQ2(PetscObjectComm((PetscObject)mc),PETSC_ERR_NOT_CONVERGED,"Bad number of entries %d vs %d",idx,nentries);
     86:         PetscLogEventBegin(MATCOLORING_Comm,mc,0,0,0);
     87:         PetscSFReduceBegin(etor,itype,stateleafcol,staterow,MPI_MAX);
     88:         PetscSFReduceEnd(etor,itype,stateleafcol,staterow,MPI_MAX);
     89:         PetscLogEventEnd(MATCOLORING_Comm,mc,0,0,0);
     90:         statespread = staterow;
     91:       }
     92:     }
     93:     for (k=0;k<nindices;k++) {
     94:       if (statespread[indices[k]-s] != indices[k]) {
     95:         PetscPrintf(PetscObjectComm((PetscObject)mc),"%d of color %d conflicts with %d\n",indices[k],l,statespread[indices[k]-s]);
     96:       }
     97:     }
     98:     ISRestoreIndices(colors[l],&indices);
     99:   }
    100:   PetscFree(statecol);
    101:   PetscFree(staterow);
    102:   PetscFree(stateleafcol);
    103:   PetscFree(stateleafrow);
    104:   PetscSFDestroy(&etor);
    105:   PetscSFDestroy(&etoc);
    106:   return(0);
    107: }

    109: PETSC_EXTERN PetscErrorCode MatISColoringTest(Mat A,ISColoring iscoloring)
    110: {
    112:   PetscInt       nn,c,i,j,M,N,nc,nnz,col,row;
    113:   const PetscInt *cia,*cja,*cols;
    114:   IS             *isis;
    115:   MPI_Comm       comm;
    116:   PetscMPIInt    size;
    117:   PetscBool      done;
    118:   PetscBT        table;

    121:   ISColoringGetIS(iscoloring,&nn,&isis);

    123:   PetscObjectGetComm((PetscObject)A,&comm);
    124:   MPI_Comm_size(comm,&size);
    125:   if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only support sequential matrix");

    127:   MatGetColumnIJ(A,0,PETSC_FALSE,PETSC_FALSE,&N,&cia,&cja,&done);
    128:   if (!done) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Ordering requires IJ");

    130:   MatGetSize(A,&M,NULL);
    131:   PetscBTCreate(M,&table);
    132:   for (c=0; c<nn; c++) { /* for each color */
    133:     ISGetSize(isis[c],&nc);
    134:     if (nc <= 1) continue;

    136:     PetscBTMemzero(M,table);
    137:     ISGetIndices(isis[c],&cols);
    138:     for (j=0; j<nc; j++) { /* for each column */
    139:       col = cols[j];
    140:       nnz = cia[col+1] - cia[col];
    141:       for (i=0; i<nnz; i++) {
    142:         row = cja[cia[col]+i];
    143:         if (PetscBTLookupSet(table,row)) {
    144:           SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"color %D, col %D: row %D already in this color",c,col,row);
    145:         }
    146:       }
    147:     }
    148:     ISRestoreIndices(isis[c],&cols);
    149:   }
    150:   PetscBTDestroy(&table);

    152:   MatRestoreColumnIJ(A,1,PETSC_FALSE,PETSC_TRUE,NULL,&cia,&cja,&done);
    153:   return(0);
    154: }