Actual source code: aijcholmod.c
petsc-3.9.4 2018-09-11
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)
6: {
7: Mat_SeqAIJ *aij = (Mat_SeqAIJ*)A->data;
8: const PetscInt *ai = aij->i,*aj = aij->j,*adiag;
9: const MatScalar *aa = aij->a;
10: PetscInt m = A->rmap->n,i,j,k,nz,*ci,*cj;
11: PetscScalar *ca;
12: PetscErrorCode ierr;
15: MatMarkDiagonal_SeqAIJ(A);
16: adiag = aij->diag;
17: for (i=0,nz=0; i<m; i++) nz += ai[i+1] - adiag[i];
18: PetscMalloc3(m+1,&ci,nz,&cj,values ? nz : 0,&ca);
19: for (i=0,k=0; i<m; i++) {
20: ci[i] = k;
21: for (j=adiag[i]; j<ai[i+1]; j++,k++) {
22: cj[k] = aj[j];
23: if (values) ca[k] = aa[j];
24: }
25: }
26: ci[i] = k;
27: *aijalloc = PETSC_TRUE;
29: PetscMemzero(C,sizeof(*C));
31: C->nrow = (size_t)A->cmap->n;
32: C->ncol = (size_t)A->rmap->n;
33: C->nzmax = (size_t)nz;
34: C->p = ci;
35: C->i = cj;
36: C->x = values ? ca : 0;
37: C->stype = -1;
38: C->itype = CHOLMOD_INT_TYPE;
39: C->xtype = values ? CHOLMOD_SCALAR_TYPE : CHOLMOD_PATTERN;
40: C->dtype = CHOLMOD_DOUBLE;
41: C->sorted = 1;
42: C->packed = 1;
43: return(0);
44: }
46: static PetscErrorCode MatFactorGetSolverType_seqaij_cholmod(Mat A,MatSolverType *type)
47: {
49: *type = MATSOLVERCHOLMOD;
50: return(0);
51: }
53: /* Almost a copy of MatGetFactor_seqsbaij_cholmod, yuck */
54: PETSC_INTERN PetscErrorCode MatGetFactor_seqaij_cholmod(Mat A,MatFactorType ftype,Mat *F)
55: {
56: Mat B;
57: Mat_CHOLMOD *chol;
59: PetscInt m=A->rmap->n,n=A->cmap->n;
62: if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"CHOLMOD cannot do %s factorization with AIJ, only %s",MatFactorTypes[ftype],MatFactorTypes[MAT_FACTOR_CHOLESKY]);
63: /* Create the factorization matrix F */
64: MatCreate(PetscObjectComm((PetscObject)A),&B);
65: MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,m,n);
66: PetscStrallocpy("cholmod",&((PetscObject)B)->type_name);
67: MatSetUp(B);
68: PetscNewLog(B,&chol);
70: chol->Wrap = MatWrapCholmod_seqaij;
71: B->data = chol;
73: B->ops->getinfo = MatGetInfo_External;
74: B->ops->matsolve = NULL;
75: B->ops->view = MatView_CHOLMOD;
76: B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_CHOLMOD;
77: B->ops->destroy = MatDestroy_CHOLMOD;
78: B->ops->getinfo = MatGetInfo_External;
80: PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverType_C",MatFactorGetSolverType_seqaij_cholmod);
82: B->factortype = MAT_FACTOR_CHOLESKY;
83: B->assembled = PETSC_TRUE; /* required by -ksp_view */
84: B->preallocated = PETSC_TRUE;
86: PetscFree(B->solvertype);
87: PetscStrallocpy(MATSOLVERCHOLMOD,&B->solvertype);
89: CholmodStart(B);
90: *F = B;
91: return(0);
92: }