Actual source code: ex51.c
2: static char help[] = "Tests MatIncreaseOverlap(), MatCreateSubMatrices() for MatBAIJ format.\n";
4: #include <petscmat.h>
6: int main(int argc, char **args)
7: {
8: Mat A, B, E, Bt, *submatA, *submatB;
9: PetscInt bs = 1, m = 43, ov = 1, i, j, k, *rows, *cols, M, nd = 5, *idx, mm, nn, lsize;
10: PetscScalar *vals, rval;
11: IS *is1, *is2;
12: PetscRandom rdm;
13: Vec xx, s1, s2;
14: PetscReal s1norm, s2norm, rnorm, tol = PETSC_SQRT_MACHINE_EPSILON;
15: PetscBool flg;
17: PetscFunctionBeginUser;
18: PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
19: PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_block_size", &bs, NULL));
20: PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_size", &m, NULL));
21: PetscCall(PetscOptionsGetInt(NULL, NULL, "-ov", &ov, NULL));
22: PetscCall(PetscOptionsGetInt(NULL, NULL, "-nd", &nd, NULL));
23: M = m * bs;
25: PetscCall(MatCreateSeqBAIJ(PETSC_COMM_SELF, bs, M, M, 1, NULL, &A));
26: PetscCall(MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
27: PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, M, M, 15, NULL, &B));
28: PetscCall(MatSetBlockSize(B, bs));
29: PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
30: PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &rdm));
31: PetscCall(PetscRandomSetFromOptions(rdm));
33: PetscCall(PetscMalloc1(bs, &rows));
34: PetscCall(PetscMalloc1(bs, &cols));
35: PetscCall(PetscMalloc1(bs * bs, &vals));
36: PetscCall(PetscMalloc1(M, &idx));
38: /* Now set blocks of values */
39: for (i = 0; i < 20 * bs; i++) {
40: PetscInt nr = 1, nc = 1;
41: PetscCall(PetscRandomGetValue(rdm, &rval));
42: cols[0] = bs * (int)(PetscRealPart(rval) * m);
43: PetscCall(PetscRandomGetValue(rdm, &rval));
44: rows[0] = bs * (int)(PetscRealPart(rval) * m);
45: for (j = 1; j < bs; j++) {
46: PetscCall(PetscRandomGetValue(rdm, &rval));
47: if (PetscRealPart(rval) > .5) rows[nr++] = rows[0] + j - 1;
48: }
49: for (j = 1; j < bs; j++) {
50: PetscCall(PetscRandomGetValue(rdm, &rval));
51: if (PetscRealPart(rval) > .5) cols[nc++] = cols[0] + j - 1;
52: }
54: for (j = 0; j < nr * nc; j++) {
55: PetscCall(PetscRandomGetValue(rdm, &rval));
56: vals[j] = rval;
57: }
58: PetscCall(MatSetValues(A, nr, rows, nc, cols, vals, ADD_VALUES));
59: PetscCall(MatSetValues(B, nr, rows, nc, cols, vals, ADD_VALUES));
60: }
62: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
63: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
64: PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
65: PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
67: /* Test MatConvert_SeqAIJ_Seq(S)BAIJ handles incompletely filled blocks */
68: PetscCall(MatConvert(B, MATBAIJ, MAT_INITIAL_MATRIX, &E));
69: PetscCall(MatDestroy(&E));
70: PetscCall(MatTranspose(B, MAT_INITIAL_MATRIX, &Bt));
71: PetscCall(MatAXPY(Bt, 1.0, B, DIFFERENT_NONZERO_PATTERN));
72: PetscCall(MatSetOption(Bt, MAT_SYMMETRIC, PETSC_TRUE));
73: PetscCall(MatConvert(Bt, MATSBAIJ, MAT_INITIAL_MATRIX, &E));
74: PetscCall(MatDestroy(&E));
75: PetscCall(MatDestroy(&Bt));
77: /* Test MatIncreaseOverlap() */
78: PetscCall(PetscMalloc1(nd, &is1));
79: PetscCall(PetscMalloc1(nd, &is2));
81: for (i = 0; i < nd; i++) {
82: PetscCall(PetscRandomGetValue(rdm, &rval));
83: lsize = (int)(PetscRealPart(rval) * m);
84: for (j = 0; j < lsize; j++) {
85: PetscCall(PetscRandomGetValue(rdm, &rval));
86: idx[j * bs] = bs * (int)(PetscRealPart(rval) * m);
87: for (k = 1; k < bs; k++) idx[j * bs + k] = idx[j * bs] + k;
88: }
89: PetscCall(ISCreateGeneral(PETSC_COMM_SELF, lsize * bs, idx, PETSC_COPY_VALUES, is1 + i));
90: PetscCall(ISCreateGeneral(PETSC_COMM_SELF, lsize * bs, idx, PETSC_COPY_VALUES, is2 + i));
91: }
92: PetscCall(MatIncreaseOverlap(A, nd, is1, ov));
93: PetscCall(MatIncreaseOverlap(B, nd, is2, ov));
95: for (i = 0; i < nd; ++i) {
96: PetscCall(ISEqual(is1[i], is2[i], &flg));
97: PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_PLIB, "i=%" PetscInt_FMT ", flg =%d", i, (int)flg);
98: }
100: for (i = 0; i < nd; ++i) {
101: PetscCall(ISSort(is1[i]));
102: PetscCall(ISSort(is2[i]));
103: }
105: PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_INITIAL_MATRIX, &submatA));
106: PetscCall(MatCreateSubMatrices(B, nd, is2, is2, MAT_INITIAL_MATRIX, &submatB));
108: /* Test MatMult() */
109: for (i = 0; i < nd; i++) {
110: PetscCall(MatGetSize(submatA[i], &mm, &nn));
111: PetscCall(VecCreateSeq(PETSC_COMM_SELF, mm, &xx));
112: PetscCall(VecDuplicate(xx, &s1));
113: PetscCall(VecDuplicate(xx, &s2));
114: for (j = 0; j < 3; j++) {
115: PetscCall(VecSetRandom(xx, rdm));
116: PetscCall(MatMult(submatA[i], xx, s1));
117: PetscCall(MatMult(submatB[i], xx, s2));
118: PetscCall(VecNorm(s1, NORM_2, &s1norm));
119: PetscCall(VecNorm(s2, NORM_2, &s2norm));
120: rnorm = s2norm - s1norm;
121: if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n", (double)s1norm, (double)s2norm));
122: }
123: PetscCall(VecDestroy(&xx));
124: PetscCall(VecDestroy(&s1));
125: PetscCall(VecDestroy(&s2));
126: }
127: /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */
128: PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_REUSE_MATRIX, &submatA));
129: PetscCall(MatCreateSubMatrices(B, nd, is2, is2, MAT_REUSE_MATRIX, &submatB));
131: /* Test MatMult() */
132: for (i = 0; i < nd; i++) {
133: PetscCall(MatGetSize(submatA[i], &mm, &nn));
134: PetscCall(VecCreateSeq(PETSC_COMM_SELF, mm, &xx));
135: PetscCall(VecDuplicate(xx, &s1));
136: PetscCall(VecDuplicate(xx, &s2));
137: for (j = 0; j < 3; j++) {
138: PetscCall(VecSetRandom(xx, rdm));
139: PetscCall(MatMult(submatA[i], xx, s1));
140: PetscCall(MatMult(submatB[i], xx, s2));
141: PetscCall(VecNorm(s1, NORM_2, &s1norm));
142: PetscCall(VecNorm(s2, NORM_2, &s2norm));
143: rnorm = s2norm - s1norm;
144: if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n", (double)s1norm, (double)s2norm));
145: }
146: PetscCall(VecDestroy(&xx));
147: PetscCall(VecDestroy(&s1));
148: PetscCall(VecDestroy(&s2));
149: }
151: /* Free allocated memory */
152: for (i = 0; i < nd; ++i) {
153: PetscCall(ISDestroy(&is1[i]));
154: PetscCall(ISDestroy(&is2[i]));
155: }
156: PetscCall(MatDestroySubMatrices(nd, &submatA));
157: PetscCall(MatDestroySubMatrices(nd, &submatB));
158: PetscCall(PetscFree(is1));
159: PetscCall(PetscFree(is2));
160: PetscCall(PetscFree(idx));
161: PetscCall(PetscFree(rows));
162: PetscCall(PetscFree(cols));
163: PetscCall(PetscFree(vals));
164: PetscCall(MatDestroy(&A));
165: PetscCall(MatDestroy(&B));
166: PetscCall(PetscRandomDestroy(&rdm));
167: PetscCall(PetscFinalize());
168: return 0;
169: }
171: /*TEST
173: test:
174: args: -mat_block_size {{1 2 5 7 8}} -ov {{1 3}} -mat_size {{11 13}} -nd {{7}}
176: TEST*/