Actual source code: aijcholmod.c

petsc-3.13.3 2020-07-01
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  2:  #include <../src/mat/impls/aij/seq/aij.h>
  3:  #include <../src/mat/impls/sbaij/seq/cholmod/cholmodimpl.h>

  5: static PetscErrorCode MatWrapCholmod_seqaij(Mat A,PetscBool values,cholmod_sparse *C,PetscBool *aijalloc,PetscBool *valloc)
  6: {
  7:   Mat_SeqAIJ        *aij = (Mat_SeqAIJ*)A->data;
  8:   const PetscScalar *aa;
  9:   PetscScalar       *ca;
 10:   const PetscInt    *ai = aij->i,*aj = aij->j,*adiag;
 11:   PetscInt          m = A->rmap->n,i,j,k,nz,*ci,*cj;
 12:   PetscBool         vain = PETSC_FALSE;
 13:   PetscErrorCode    ierr;

 16:   MatMarkDiagonal_SeqAIJ(A);
 17:   adiag = aij->diag;
 18:   for (i=0,nz=0; i<m; i++) nz += ai[i+1] - adiag[i];
 19:   PetscMalloc2(m+1,&ci,nz,&cj);
 20:   if (values) {
 21:     vain = PETSC_TRUE;
 22:     PetscMalloc1(nz,&ca);
 23:     MatSeqAIJGetArrayRead(A,&aa);
 24:   }
 25:   for (i=0,k=0; i<m; i++) {
 26:     ci[i] = k;
 27:     for (j=adiag[i]; j<ai[i+1]; j++,k++) {
 28:       cj[k] = aj[j];
 29:       if (values) ca[k] = PetscConj(aa[j]);
 30:     }
 31:   }
 32:   ci[i]     = k;
 33:   *aijalloc = PETSC_TRUE;
 34:   *valloc   = vain;
 35:   if (values) {
 36:     MatSeqAIJRestoreArrayRead(A,&aa);
 37:   }

 39:   PetscMemzero(C,sizeof(*C));

 41:   C->nrow   = (size_t)A->cmap->n;
 42:   C->ncol   = (size_t)A->rmap->n;
 43:   C->nzmax  = (size_t)nz;
 44:   C->p      = ci;
 45:   C->i      = cj;
 46:   C->x      = values ? ca : 0;
 47:   C->stype  = -1;
 48:   C->itype  = CHOLMOD_INT_TYPE;
 49:   C->xtype  = values ? CHOLMOD_SCALAR_TYPE : CHOLMOD_PATTERN;
 50:   C->dtype  = CHOLMOD_DOUBLE;
 51:   C->sorted = 1;
 52:   C->packed = 1;
 53:   return(0);
 54: }

 56: static PetscErrorCode MatFactorGetSolverType_seqaij_cholmod(Mat A,MatSolverType *type)
 57: {
 59:   *type = MATSOLVERCHOLMOD;
 60:   return(0);
 61: }

 63: /* Almost a copy of MatGetFactor_seqsbaij_cholmod, yuck */
 64: PETSC_INTERN PetscErrorCode MatGetFactor_seqaij_cholmod(Mat A,MatFactorType ftype,Mat *F)
 65: {
 66:   Mat            B;
 67:   Mat_CHOLMOD    *chol;
 69:   PetscInt       m=A->rmap->n,n=A->cmap->n;
 70:   const char     *prefix;

 73: #if defined(PETSC_USE_COMPLEX)
 74:   if (!A->hermitian) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_SUP,"Only for hermitian matrices");
 75: #endif
 76:   /* Create the factorization matrix F */
 77:   MatCreate(PetscObjectComm((PetscObject)A),&B);
 78:   MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,m,n);
 79:   PetscStrallocpy("cholmod",&((PetscObject)B)->type_name);
 80:   MatGetOptionsPrefix(A,&prefix);
 81:   MatSetOptionsPrefix(B,prefix);
 82:   MatSetUp(B);
 83:   PetscNewLog(B,&chol);

 85:   chol->Wrap = MatWrapCholmod_seqaij;
 86:   B->data    = chol;

 88:   B->ops->getinfo                = MatGetInfo_CHOLMOD;
 89:   B->ops->view                   = MatView_CHOLMOD;
 90:   B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_CHOLMOD;
 91:   B->ops->destroy                = MatDestroy_CHOLMOD;

 93:   PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverType_C",MatFactorGetSolverType_seqaij_cholmod);

 95:   B->factortype   = MAT_FACTOR_CHOLESKY;
 96:   B->assembled    = PETSC_TRUE;
 97:   B->preallocated = PETSC_TRUE;

 99:   PetscFree(B->solvertype);
100:   PetscStrallocpy(MATSOLVERCHOLMOD,&B->solvertype);

102:   CholmodStart(B);
103:   *F   = B;
104:   return(0);
105: }