Actual source code: ex92.c
2: static char help[] = "Tests MatIncreaseOverlap(), MatCreateSubMatrices() for parallel MatSBAIJ format.\n";
3: /* Example of usage:
4: mpiexec -n 2 ./ex92 -nd 2 -ov 3 -mat_block_size 2 -view_id 0 -test_overlap -test_submat
5: */
6: #include <petscmat.h>
8: int main(int argc, char **args)
9: {
10: Mat A, Atrans, sA, *submatA, *submatsA;
11: PetscMPIInt size, rank;
12: PetscInt bs = 1, mbs = 10, ov = 1, i, j, k, *rows, *cols, nd = 2, *idx, rstart, rend, sz, M, N, Mbs;
13: PetscScalar *vals, rval, one = 1.0;
14: IS *is1, *is2;
15: PetscRandom rand;
16: PetscBool flg, TestOverlap, TestSubMat, TestAllcols, test_sorted = PETSC_FALSE;
17: PetscInt vid = -1;
18: #if defined(PETSC_USE_LOG)
19: PetscLogStage stages[2];
20: #endif
22: PetscFunctionBeginUser;
23: PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
24: PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
25: PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
27: PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_block_size", &bs, NULL));
28: PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_mbs", &mbs, NULL));
29: PetscCall(PetscOptionsGetInt(NULL, NULL, "-ov", &ov, NULL));
30: PetscCall(PetscOptionsGetInt(NULL, NULL, "-nd", &nd, NULL));
31: PetscCall(PetscOptionsGetInt(NULL, NULL, "-view_id", &vid, NULL));
32: PetscCall(PetscOptionsHasName(NULL, NULL, "-test_overlap", &TestOverlap));
33: PetscCall(PetscOptionsHasName(NULL, NULL, "-test_submat", &TestSubMat));
34: PetscCall(PetscOptionsHasName(NULL, NULL, "-test_allcols", &TestAllcols));
35: PetscCall(PetscOptionsGetBool(NULL, NULL, "-test_sorted", &test_sorted, NULL));
37: PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
38: PetscCall(MatSetSizes(A, mbs * bs, mbs * bs, PETSC_DECIDE, PETSC_DECIDE));
39: PetscCall(MatSetType(A, MATBAIJ));
40: PetscCall(MatSeqBAIJSetPreallocation(A, bs, PETSC_DEFAULT, NULL));
41: PetscCall(MatMPIBAIJSetPreallocation(A, bs, PETSC_DEFAULT, NULL, PETSC_DEFAULT, NULL));
43: PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rand));
44: PetscCall(PetscRandomSetFromOptions(rand));
46: PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
47: PetscCall(MatGetSize(A, &M, &N));
48: Mbs = M / bs;
50: PetscCall(PetscMalloc1(bs, &rows));
51: PetscCall(PetscMalloc1(bs, &cols));
52: PetscCall(PetscMalloc1(bs * bs, &vals));
53: PetscCall(PetscMalloc1(M, &idx));
55: /* Now set blocks of values */
56: for (j = 0; j < bs * bs; j++) vals[j] = 0.0;
57: for (i = 0; i < Mbs; i++) {
58: cols[0] = i * bs;
59: rows[0] = i * bs;
60: for (j = 1; j < bs; j++) {
61: rows[j] = rows[j - 1] + 1;
62: cols[j] = cols[j - 1] + 1;
63: }
64: PetscCall(MatSetValues(A, bs, rows, bs, cols, vals, ADD_VALUES));
65: }
66: /* second, add random blocks */
67: for (i = 0; i < 20 * bs; i++) {
68: PetscCall(PetscRandomGetValue(rand, &rval));
69: cols[0] = bs * (PetscInt)(PetscRealPart(rval) * Mbs);
70: PetscCall(PetscRandomGetValue(rand, &rval));
71: rows[0] = rstart + bs * (PetscInt)(PetscRealPart(rval) * mbs);
72: for (j = 1; j < bs; j++) {
73: rows[j] = rows[j - 1] + 1;
74: cols[j] = cols[j - 1] + 1;
75: }
77: for (j = 0; j < bs * bs; j++) {
78: PetscCall(PetscRandomGetValue(rand, &rval));
79: vals[j] = rval;
80: }
81: PetscCall(MatSetValues(A, bs, rows, bs, cols, vals, ADD_VALUES));
82: }
84: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
85: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
87: /* make A a symmetric matrix: A <- A^T + A */
88: PetscCall(MatTranspose(A, MAT_INITIAL_MATRIX, &Atrans));
89: PetscCall(MatAXPY(A, one, Atrans, DIFFERENT_NONZERO_PATTERN));
90: PetscCall(MatDestroy(&Atrans));
91: PetscCall(MatTranspose(A, MAT_INITIAL_MATRIX, &Atrans));
92: PetscCall(MatEqual(A, Atrans, &flg));
93: if (flg) {
94: PetscCall(MatSetOption(A, MAT_SYMMETRIC, PETSC_TRUE));
95: } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "A+A^T is non-symmetric");
96: PetscCall(MatDestroy(&Atrans));
98: /* create a SeqSBAIJ matrix sA (= A) */
99: PetscCall(MatConvert(A, MATSBAIJ, MAT_INITIAL_MATRIX, &sA));
100: if (vid >= 0 && vid < size) {
101: PetscCall(PetscViewerASCIIPrintf(PETSC_VIEWER_STDOUT_WORLD, "A:\n"));
102: PetscCall(MatView(A, PETSC_VIEWER_STDOUT_WORLD));
103: PetscCall(PetscViewerASCIIPrintf(PETSC_VIEWER_STDOUT_WORLD, "sA:\n"));
104: PetscCall(MatView(sA, PETSC_VIEWER_STDOUT_WORLD));
105: }
107: /* Test sA==A through MatMult() */
108: PetscCall(MatMultEqual(A, sA, 10, &flg));
109: PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Error in MatConvert(): A != sA");
111: /* Test MatIncreaseOverlap() */
112: PetscCall(PetscMalloc1(nd, &is1));
113: PetscCall(PetscMalloc1(nd, &is2));
115: for (i = 0; i < nd; i++) {
116: if (!TestAllcols) {
117: PetscCall(PetscRandomGetValue(rand, &rval));
118: sz = (PetscInt)((0.5 + 0.2 * PetscRealPart(rval)) * mbs); /* 0.5*mbs < sz < 0.7*mbs */
120: for (j = 0; j < sz; j++) {
121: PetscCall(PetscRandomGetValue(rand, &rval));
122: idx[j * bs] = bs * (PetscInt)(PetscRealPart(rval) * Mbs);
123: for (k = 1; k < bs; k++) idx[j * bs + k] = idx[j * bs] + k;
124: }
125: PetscCall(ISCreateGeneral(PETSC_COMM_SELF, sz * bs, idx, PETSC_COPY_VALUES, is1 + i));
126: PetscCall(ISCreateGeneral(PETSC_COMM_SELF, sz * bs, idx, PETSC_COPY_VALUES, is2 + i));
127: if (rank == vid) {
128: PetscCall(PetscPrintf(PETSC_COMM_SELF, " [%d] IS sz[%" PetscInt_FMT "]: %" PetscInt_FMT "\n", rank, i, sz));
129: PetscCall(ISView(is2[i], PETSC_VIEWER_STDOUT_SELF));
130: }
131: } else { /* Test all rows and columns */
132: sz = M;
133: PetscCall(ISCreateStride(PETSC_COMM_SELF, sz, 0, 1, is1 + i));
134: PetscCall(ISCreateStride(PETSC_COMM_SELF, sz, 0, 1, is2 + i));
136: if (rank == vid) {
137: PetscBool colflag;
138: PetscCall(ISIdentity(is2[i], &colflag));
139: PetscCall(PetscPrintf(PETSC_COMM_SELF, "[%d] is2[%" PetscInt_FMT "], colflag %d\n", rank, i, colflag));
140: PetscCall(ISView(is2[i], PETSC_VIEWER_STDOUT_SELF));
141: }
142: }
143: }
145: PetscCall(PetscLogStageRegister("MatOv_SBAIJ", &stages[0]));
146: PetscCall(PetscLogStageRegister("MatOv_BAIJ", &stages[1]));
148: /* Test MatIncreaseOverlap */
149: if (TestOverlap) {
150: PetscCall(PetscLogStagePush(stages[0]));
151: PetscCall(MatIncreaseOverlap(sA, nd, is2, ov));
152: PetscCall(PetscLogStagePop());
154: PetscCall(PetscLogStagePush(stages[1]));
155: PetscCall(MatIncreaseOverlap(A, nd, is1, ov));
156: PetscCall(PetscLogStagePop());
158: if (rank == vid) {
159: PetscCall(PetscPrintf(PETSC_COMM_SELF, "\n[%d] IS from BAIJ:\n", rank));
160: PetscCall(ISView(is1[0], PETSC_VIEWER_STDOUT_SELF));
161: PetscCall(PetscPrintf(PETSC_COMM_SELF, "\n[%d] IS from SBAIJ:\n", rank));
162: PetscCall(ISView(is2[0], PETSC_VIEWER_STDOUT_SELF));
163: }
165: for (i = 0; i < nd; ++i) {
166: PetscCall(ISEqual(is1[i], is2[i], &flg));
167: if (!flg) {
168: if (rank == 0) {
169: PetscCall(ISSort(is1[i]));
170: PetscCall(ISSort(is2[i]));
171: }
172: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "i=%" PetscInt_FMT ", is1 != is2", i);
173: }
174: }
175: }
177: /* Test MatCreateSubmatrices */
178: if (TestSubMat) {
179: if (test_sorted) {
180: for (i = 0; i < nd; ++i) PetscCall(ISSort(is1[i]));
181: }
182: PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_INITIAL_MATRIX, &submatA));
183: PetscCall(MatCreateSubMatrices(sA, nd, is1, is1, MAT_INITIAL_MATRIX, &submatsA));
185: PetscCall(MatMultEqual(A, sA, 10, &flg));
186: PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "A != sA");
188: /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */
189: PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_REUSE_MATRIX, &submatA));
190: PetscCall(MatCreateSubMatrices(sA, nd, is1, is1, MAT_REUSE_MATRIX, &submatsA));
191: PetscCall(MatMultEqual(A, sA, 10, &flg));
192: PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "MatCreateSubmatrices(): A != sA");
194: PetscCall(MatDestroySubMatrices(nd, &submatA));
195: PetscCall(MatDestroySubMatrices(nd, &submatsA));
196: }
198: /* Free allocated memory */
199: for (i = 0; i < nd; ++i) {
200: PetscCall(ISDestroy(&is1[i]));
201: PetscCall(ISDestroy(&is2[i]));
202: }
203: PetscCall(PetscFree(is1));
204: PetscCall(PetscFree(is2));
205: PetscCall(PetscFree(idx));
206: PetscCall(PetscFree(rows));
207: PetscCall(PetscFree(cols));
208: PetscCall(PetscFree(vals));
209: PetscCall(MatDestroy(&A));
210: PetscCall(MatDestroy(&sA));
211: PetscCall(PetscRandomDestroy(&rand));
212: PetscCall(PetscFinalize());
213: return 0;
214: }
216: /*TEST
218: test:
219: args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_submat
220: output_file: output/ex92_1.out
222: test:
223: suffix: 2
224: nsize: {{3 4}}
225: args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_submat
226: output_file: output/ex92_1.out
228: test:
229: suffix: 3
230: nsize: {{3 4}}
231: args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_allcols
232: output_file: output/ex92_1.out
234: test:
235: suffix: 3_sorted
236: nsize: {{3 4}}
237: args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_allcols -test_sorted
238: output_file: output/ex92_1.out
240: test:
241: suffix: 4
242: nsize: {{3 4}}
243: args: -ov {{1 3}} -mat_block_size {{2 8}} -test_submat -test_allcols
244: output_file: output/ex92_1.out
246: TEST*/