1 #include <../src/mat/impls/aij/seq/aij.h> 2 #include <../src/mat/impls/sbaij/seq/cholmod/cholmodimpl.h> 3 4 static PetscErrorCode MatWrapCholmod_seqaij(Mat A, PetscBool values, cholmod_sparse *C, PetscBool *aijalloc, PetscBool *valloc) 5 { 6 Mat_SeqAIJ *aij = (Mat_SeqAIJ *)A->data; 7 const PetscScalar *aa; 8 PetscScalar *ca; 9 const PetscInt *ai = aij->i, *aj = aij->j, *adiag; 10 PetscInt m = A->rmap->n, i, j, k, nz, *ci, *cj; 11 PetscBool vain = PETSC_FALSE; 12 13 PetscFunctionBegin; 14 PetscCall(MatGetDiagonalMarkers_SeqAIJ(A, &adiag, NULL)); 15 for (i = 0, nz = 0; i < m; i++) nz += ai[i + 1] - adiag[i]; 16 PetscCall(PetscMalloc2(m + 1, &ci, nz, &cj)); 17 if (values) { 18 vain = PETSC_TRUE; 19 PetscCall(PetscMalloc1(nz, &ca)); 20 PetscCall(MatSeqAIJGetArrayRead(A, &aa)); 21 } 22 for (i = 0, k = 0; i < m; i++) { 23 ci[i] = k; 24 for (j = adiag[i]; j < ai[i + 1]; j++, k++) { 25 cj[k] = aj[j]; 26 if (values) ca[k] = PetscConj(aa[j]); 27 } 28 } 29 ci[i] = k; 30 *aijalloc = PETSC_TRUE; 31 *valloc = vain; 32 if (values) PetscCall(MatSeqAIJRestoreArrayRead(A, &aa)); 33 34 PetscCall(PetscMemzero(C, sizeof(*C))); 35 36 C->nrow = (size_t)A->cmap->n; 37 C->ncol = (size_t)A->rmap->n; 38 C->nzmax = (size_t)nz; 39 C->p = ci; 40 C->i = cj; 41 C->x = values ? ca : 0; 42 C->stype = -1; 43 C->itype = CHOLMOD_INT_TYPE; 44 C->xtype = values ? CHOLMOD_SCALAR_TYPE : CHOLMOD_PATTERN; 45 C->dtype = CHOLMOD_DOUBLE; 46 C->sorted = 1; 47 C->packed = 1; 48 PetscFunctionReturn(PETSC_SUCCESS); 49 } 50 51 static PetscErrorCode MatFactorGetSolverType_seqaij_cholmod(Mat A, MatSolverType *type) 52 { 53 PetscFunctionBegin; 54 *type = MATSOLVERCHOLMOD; 55 PetscFunctionReturn(PETSC_SUCCESS); 56 } 57 58 /* Almost a copy of MatGetFactor_seqsbaij_cholmod, yuck */ 59 PETSC_INTERN PetscErrorCode MatGetFactor_seqaij_cholmod(Mat A, MatFactorType ftype, Mat *F) 60 { 61 Mat B; 62 Mat_CHOLMOD *chol; 63 PetscInt m = A->rmap->n, n = A->cmap->n; 64 65 PetscFunctionBegin; 66 #if defined(PETSC_USE_COMPLEX) 67 if (A->hermitian != PETSC_BOOL3_TRUE) { 68 PetscCall(PetscInfo(A, "Only for Hermitian matrices.\n")); 69 *F = NULL; 70 PetscFunctionReturn(PETSC_SUCCESS); 71 } 72 #endif 73 /* Create the factorization matrix F */ 74 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); 75 PetscCall(MatSetSizes(B, PETSC_DECIDE, PETSC_DECIDE, m, n)); 76 PetscCall(PetscStrallocpy("cholmod", &((PetscObject)B)->type_name)); 77 PetscCall(MatSetUp(B)); 78 PetscCall(PetscNew(&chol)); 79 80 chol->Wrap = MatWrapCholmod_seqaij; 81 B->data = chol; 82 83 B->ops->getinfo = MatGetInfo_CHOLMOD; 84 B->ops->view = MatView_CHOLMOD; 85 B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_CHOLMOD; 86 B->ops->destroy = MatDestroy_CHOLMOD; 87 88 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatFactorGetSolverType_C", MatFactorGetSolverType_seqaij_cholmod)); 89 90 B->factortype = MAT_FACTOR_CHOLESKY; 91 B->assembled = PETSC_TRUE; 92 B->preallocated = PETSC_TRUE; 93 94 PetscCall(PetscFree(B->solvertype)); 95 PetscCall(PetscStrallocpy(MATSOLVERCHOLMOD, &B->solvertype)); 96 B->canuseordering = PETSC_TRUE; 97 PetscCall(PetscStrallocpy(MATORDERINGEXTERNAL, (char **)&B->preferredordering[MAT_FACTOR_CHOLESKY])); 98 PetscCall(CholmodStart(B)); 99 *F = B; 100 PetscFunctionReturn(PETSC_SUCCESS); 101 } 102