xref: /petsc/src/mat/utils/gcreate.c (revision d38fa0fb9e96b5504a279959047722757b3fe1d5)
1 
2 #include "src/mat/matimpl.h"       /*I "petscmat.h"  I*/
3 #include "petscsys.h"
4 
5 #undef __FUNCT__
6 #define __FUNCT__ "MatPublish_Base"
7 static PetscErrorCode MatPublish_Base(PetscObject obj)
8 {
9   PetscFunctionBegin;
10   PetscFunctionReturn(0);
11 }
12 
13 
14 #undef __FUNCT__
15 #define __FUNCT__ "MatCreate"
16 /*@C
17    MatCreate - Creates a matrix where the type is determined
18    from either a call to MatSetType() or from the options database
19    with a call to MatSetFromOptions(). The default matrix type is
20    AIJ, using the routines MatCreateSeqAIJ() or MatCreateMPIAIJ()
21    if you do not set a type in the options database. If you never
22    call MatSetType() or MatSetFromOptions() it will generate an
23    error when you try to use the matrix.
24 
25    Collective on MPI_Comm
26 
27    Input Parameters:
28 +  m - number of local rows (or PETSC_DECIDE)
29 .  n - number of local columns (or PETSC_DECIDE)
30 .  M - number of global rows (or PETSC_DETERMINE)
31 .  N - number of global columns (or PETSC_DETERMINE)
32 -  comm - MPI communicator
33 
34    Output Parameter:
35 .  A - the matrix
36 
37    Options Database Keys:
38 +    -mat_type seqaij   - AIJ type, uses MatCreateSeqAIJ()
39 .    -mat_type mpiaij   - AIJ type, uses MatCreateMPIAIJ()
40 .    -mat_type seqbdiag - block diagonal type, uses MatCreateSeqBDiag()
41 .    -mat_type mpibdiag - block diagonal type, uses MatCreateMPIBDiag()
42 .    -mat_type mpirowbs - rowbs type, uses MatCreateMPIRowbs()
43 .    -mat_type seqdense - dense type, uses MatCreateSeqDense()
44 .    -mat_type mpidense - dense type, uses MatCreateMPIDense()
45 .    -mat_type seqbaij  - block AIJ type, uses MatCreateSeqBAIJ()
46 -    -mat_type mpibaij  - block AIJ type, uses MatCreateMPIBAIJ()
47 
48    Even More Options Database Keys:
49    See the manpages for particular formats (e.g., MatCreateSeqAIJ())
50    for additional format-specific options.
51 
52    Notes:
53    If PETSC_DECIDE is not used for the arguments 'm' and 'n', then the
54    user must ensure that they are chosen to be compatible with the
55    vectors. To do this, one first considers the matrix-vector product
56    'y = A x'. The 'm' that is used in the above routine must match the
57    local size used in the vector creation routine VecCreateMPI() for 'y'.
58    Likewise, the 'n' used must match that used as the local size in
59    VecCreateMPI() for 'x'.
60 
61    Level: beginner
62 
63    User manual sections:
64 +   sec_matcreate
65 -   chapter_matrices
66 
67 .keywords: matrix, create
68 
69 .seealso: MatCreateSeqAIJ((), MatCreateMPIAIJ(),
70           MatCreateSeqBDiag(),MatCreateMPIBDiag(),
71           MatCreateSeqDense(), MatCreateMPIDense(),
72           MatCreateMPIRowbs(), MatCreateSeqBAIJ(), MatCreateMPIBAIJ(),
73           MatCreateSeqSBAIJ(), MatCreateMPISBAIJ(),
74           MatConvert()
75 @*/
76 PetscErrorCode MatCreate(MPI_Comm comm,PetscInt m,PetscInt n,PetscInt M,PetscInt N,Mat *A)
77 {
78   Mat            B;
79 #ifndef PETSC_USE_DYNAMIC_LIBRARIES
80   PetscErrorCode ierr;
81 #endif
82 
83   PetscFunctionBegin;
84   PetscValidPointer(A,6);
85   if (M > 0 && m > M) SETERRQ2(PETSC_ERR_ARG_INCOMP,"Local column size %D cannot be larger than global column size %D",m,M);
86   if (N > 0 && n > N) SETERRQ2(PETSC_ERR_ARG_INCOMP,"Local row size %D cannot be larger than global row size %D",n,N);
87 
88   *A = PETSC_NULL;
89 #ifndef PETSC_USE_DYNAMIC_LIBRARIES
90   ierr = MatInitializePackage(PETSC_NULL);CHKERRQ(ierr);
91 #endif
92 
93   PetscHeaderCreate(B,_p_Mat,struct _MatOps,MAT_COOKIE,0,"Mat",comm,MatDestroy,MatView);
94 
95   B->m             = m;
96   B->n             = n;
97   B->M             = M;
98   B->N             = N;
99   B->bs            = 1;
100   B->preallocated  = PETSC_FALSE;
101   B->bops->publish = MatPublish_Base;
102   *A               = B;
103   PetscFunctionReturn(0);
104 }
105 
106 #undef __FUNCT__
107 #define __FUNCT__ "MatSetFromOptions"
108 /*@C
109    MatSetFromOptions - Creates a matrix where the type is determined
110    from the options database. Generates a parallel MPI matrix if the
111    communicator has more than one processor.  The default matrix type is
112    AIJ, using the routines MatCreateSeqAIJ() and MatCreateMPIAIJ() if
113    you do not select a type in the options database.
114 
115    Collective on Mat
116 
117    Input Parameter:
118 .  A - the matrix
119 
120    Options Database Keys:
121 +    -mat_type seqaij   - AIJ type, uses MatCreateSeqAIJ()
122 .    -mat_type mpiaij   - AIJ type, uses MatCreateMPIAIJ()
123 .    -mat_type seqbdiag - block diagonal type, uses MatCreateSeqBDiag()
124 .    -mat_type mpibdiag - block diagonal type, uses MatCreateMPIBDiag()
125 .    -mat_type mpirowbs - rowbs type, uses MatCreateMPIRowbs()
126 .    -mat_type seqdense - dense type, uses MatCreateSeqDense()
127 .    -mat_type mpidense - dense type, uses MatCreateMPIDense()
128 .    -mat_type seqbaij  - block AIJ type, uses MatCreateSeqBAIJ()
129 -    -mat_type mpibaij  - block AIJ type, uses MatCreateMPIBAIJ()
130 
131    Even More Options Database Keys:
132    See the manpages for particular formats (e.g., MatCreateSeqAIJ())
133    for additional format-specific options.
134 
135    Level: beginner
136 
137 .keywords: matrix, create
138 
139 .seealso: MatCreateSeqAIJ((), MatCreateMPIAIJ(),
140           MatCreateSeqBDiag(),MatCreateMPIBDiag(),
141           MatCreateSeqDense(), MatCreateMPIDense(),
142           MatCreateMPIRowbs(), MatCreateSeqBAIJ(), MatCreateMPIBAIJ(),
143           MatCreateSeqSBAIJ(), MatCreateMPISBAIJ(),
144           MatConvert()
145 @*/
146 PetscErrorCode MatSetFromOptions(Mat B)
147 {
148   PetscErrorCode ierr;
149   PetscMPIInt    size;
150   char           mtype[256];
151   PetscTruth     flg;
152 
153   PetscFunctionBegin;
154   ierr = PetscOptionsGetString(B->prefix,"-mat_type",mtype,256,&flg);CHKERRQ(ierr);
155   if (flg) {
156     ierr = MatSetType(B,mtype);CHKERRQ(ierr);
157   }
158   if (!B->type_name) {
159     ierr = MPI_Comm_size(B->comm,&size);CHKERRQ(ierr);
160     ierr = MatSetType(B,MATAIJ);CHKERRQ(ierr);
161   }
162   PetscFunctionReturn(0);
163 }
164 
165 #undef __FUNCT__
166 #define __FUNCT__ "MatSetUpPreallocation"
167 /*@C
168    MatSetUpPreallocation
169 
170    Collective on Mat
171 
172    Input Parameter:
173 .  A - the matrix
174 
175    Level: beginner
176 
177 .keywords: matrix, create
178 
179 .seealso: MatCreateSeqAIJ((), MatCreateMPIAIJ(),
180           MatCreateSeqBDiag(),MatCreateMPIBDiag(),
181           MatCreateSeqDense(), MatCreateMPIDense(),
182           MatCreateMPIRowbs(), MatCreateSeqBAIJ(), MatCreateMPIBAIJ(),
183           MatCreateSeqSBAIJ(), MatCreateMPISBAIJ(),
184           MatConvert()
185 @*/
186 PetscErrorCode MatSetUpPreallocation(Mat B)
187 {
188   PetscErrorCode ierr;
189 
190   PetscFunctionBegin;
191   if (B->ops->setuppreallocation) {
192     PetscLogInfo(B,"MatSetUpPreallocation: Warning not preallocating matrix storage");
193     ierr = (*B->ops->setuppreallocation)(B);CHKERRQ(ierr);
194     B->ops->setuppreallocation = 0;
195     B->preallocated            = PETSC_TRUE;
196   }
197   PetscFunctionReturn(0);
198 }
199 
200 /*
201         Copies from Cs header to A
202 */
203 #undef __FUNCT__
204 #define __FUNCT__ "MatHeaderCopy"
205 PetscErrorCode MatHeaderCopy(Mat A,Mat C)
206 {
207   PetscErrorCode ierr;
208   PetscInt       refct;
209   PetscOps       *Abops;
210   MatOps         Aops;
211   char           *mtype,*mname;
212 
213   PetscFunctionBegin;
214   /* free all the interior data structures from mat */
215   ierr = (*A->ops->destroy)(A);CHKERRQ(ierr);
216 
217   ierr = PetscMapDestroy(A->rmap);CHKERRQ(ierr);
218   ierr = PetscMapDestroy(A->cmap);CHKERRQ(ierr);
219 
220   /* save the parts of A we need */
221   Abops = A->bops;
222   Aops  = A->ops;
223   refct = A->refct;
224   mtype = A->type_name;
225   mname = A->name;
226 
227   /* copy C over to A */
228   ierr  = PetscMemcpy(A,C,sizeof(struct _p_Mat));CHKERRQ(ierr);
229 
230   /* return the parts of A we saved */
231   A->bops      = Abops;
232   A->ops       = Aops;
233   A->qlist     = 0;
234   A->refct     = refct;
235   A->type_name = mtype;
236   A->name      = mname;
237 
238   ierr = PetscHeaderDestroy(C);CHKERRQ(ierr);
239   PetscFunctionReturn(0);
240 }
241