Actual source code: ex12.c
2: static char help[] = "Tests the use of MatZeroRows() for parallel matrices.\n\
3: This example also tests the use of MatDuplicate() for both MPIAIJ and MPIBAIJ matrices";
5: #include <petscmat.h>
7: extern PetscErrorCode TestMatZeroRows_Basic(Mat, IS, PetscScalar);
8: extern PetscErrorCode TestMatZeroRows_with_no_allocation(Mat, IS, PetscScalar);
10: int main(int argc, char **args)
11: {
12: Mat A;
13: PetscInt i, j, m = 3, n, Ii, J, Imax;
14: PetscMPIInt rank, size;
15: PetscScalar v, diag = -4.0;
16: IS is;
18: PetscFunctionBeginUser;
19: PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
20: PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
21: PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
22: n = 2 * size;
24: /* create A Square matrix for the five point stencil,YET AGAIN*/
25: PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
26: PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, m * n, m * n));
27: PetscCall(MatSetFromOptions(A));
28: PetscCall(MatSetUp(A));
29: for (i = 0; i < m; i++) {
30: for (j = 2 * rank; j < 2 * rank + 2; j++) {
31: v = -1.0;
32: Ii = j + n * i;
33: if (i > 0) {
34: J = Ii - n;
35: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
36: }
37: if (i < m - 1) {
38: J = Ii + n;
39: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
40: }
41: if (j > 0) {
42: J = Ii - 1;
43: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
44: }
45: if (j < n - 1) {
46: J = Ii + 1;
47: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
48: }
49: v = 4.0;
50: PetscCall(MatSetValues(A, 1, &Ii, 1, &Ii, &v, INSERT_VALUES));
51: }
52: }
53: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
54: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
56: /* Create AN IS required by MatZeroRows() */
57: Imax = n * rank;
58: if (Imax >= n * m - m - 1) Imax = m * n - m - 1;
59: PetscCall(ISCreateStride(PETSC_COMM_SELF, m, Imax, 1, &is));
61: PetscCall(TestMatZeroRows_Basic(A, is, 0.0));
62: PetscCall(TestMatZeroRows_Basic(A, is, diag));
64: PetscCall(TestMatZeroRows_with_no_allocation(A, is, 0.0));
65: PetscCall(TestMatZeroRows_with_no_allocation(A, is, diag));
67: PetscCall(MatDestroy(&A));
69: /* Now Create a rectangular matrix with five point stencil (app)
70: n+size is used so that this dimension is always divisible by size.
71: This way, we can always use bs = size for any number of procs */
72: PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
73: PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, m * n, m * (n + size)));
74: PetscCall(MatSetFromOptions(A));
75: PetscCall(MatSetUp(A));
76: for (i = 0; i < m; i++) {
77: for (j = 2 * rank; j < 2 * rank + 2; j++) {
78: v = -1.0;
79: Ii = j + n * i;
80: if (i > 0) {
81: J = Ii - n;
82: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
83: }
84: if (i < m - 1) {
85: J = Ii + n;
86: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
87: }
88: if (j > 0) {
89: J = Ii - 1;
90: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
91: }
92: if (j < n + size - 1) {
93: J = Ii + 1;
94: PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &v, INSERT_VALUES));
95: }
96: v = 4.0;
97: PetscCall(MatSetValues(A, 1, &Ii, 1, &Ii, &v, INSERT_VALUES));
98: }
99: }
100: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
101: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
103: PetscCall(TestMatZeroRows_Basic(A, is, 0.0));
104: PetscCall(TestMatZeroRows_Basic(A, is, diag));
106: PetscCall(MatDestroy(&A));
107: PetscCall(ISDestroy(&is));
108: PetscCall(PetscFinalize());
109: return 0;
110: }
112: PetscErrorCode TestMatZeroRows_Basic(Mat A, IS is, PetscScalar diag)
113: {
114: Mat B;
115: PetscBool keepnonzeropattern;
117: /* Now copy A into B, and test it with MatZeroRows() */
118: PetscFunctionBeginUser;
119: PetscCall(MatDuplicate(A, MAT_COPY_VALUES, &B));
121: PetscCall(PetscOptionsHasName(NULL, NULL, "-keep_nonzero_pattern", &keepnonzeropattern));
122: if (keepnonzeropattern) PetscCall(MatSetOption(B, MAT_KEEP_NONZERO_PATTERN, PETSC_TRUE));
124: PetscCall(MatZeroRowsIS(B, is, diag, 0, 0));
125: PetscCall(MatView(B, PETSC_VIEWER_STDOUT_WORLD));
126: PetscCall(MatDestroy(&B));
127: PetscFunctionReturn(PETSC_SUCCESS);
128: }
130: PetscErrorCode TestMatZeroRows_with_no_allocation(Mat A, IS is, PetscScalar diag)
131: {
132: Mat B;
134: /* Now copy A into B, and test it with MatZeroRows() */
135: PetscFunctionBeginUser;
136: PetscCall(MatDuplicate(A, MAT_COPY_VALUES, &B));
137: /* Set this flag after assembly. This way, it affects only MatZeroRows() */
138: PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_TRUE));
140: PetscCall(MatZeroRowsIS(B, is, diag, 0, 0));
141: PetscCall(MatView(B, PETSC_VIEWER_STDOUT_WORLD));
142: PetscCall(MatDestroy(&B));
143: PetscFunctionReturn(PETSC_SUCCESS);
144: }
146: /*TEST
148: test:
149: nsize: 2
150: filter: grep -v " MPI process"
152: test:
153: suffix: 2
154: nsize: 3
155: args: -mat_type mpibaij -mat_block_size 3
156: filter: grep -v " MPI process"
158: test:
159: suffix: 3
160: nsize: 3
161: args: -mat_type mpiaij -keep_nonzero_pattern
162: filter: grep -v " MPI process"
164: test:
165: suffix: 4
166: nsize: 3
167: args: -keep_nonzero_pattern -mat_type mpibaij -mat_block_size 3
168: filter: grep -v " MPI process"
170: test:
171: requires: !defined(PETSC_HAVE_THREADSAFETY)
172: suffix: 5
173: nsize: 3
174: args: -mat_type mpibaij -mat_block_size 3 -mat_view
175: filter: grep -v " MPI process"
177: TEST*/