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