xref: /petsc/src/mat/tests/ex54.c (revision df4cd43f92eaa320656440c40edb1046daee8f75)
1 
2 static char help[] = "Tests MatIncreaseOverlap(), MatCreateSubMatrices() for parallel AIJ and BAIJ formats.\n";
3 
4 #include <petscmat.h>
5 
6 int main(int argc, char **args)
7 {
8   Mat          E, A, B, Bt, *submatA, *submatB;
9   PetscInt     bs = 1, m = 11, ov = 1, i, j, k, *rows, *cols, nd = 5, *idx, rstart, rend, sz, mm, nn, M, N, Mbs;
10   PetscMPIInt  size, rank;
11   PetscScalar *vals, rval;
12   IS          *is1, *is2;
13   PetscRandom  rdm;
14   Vec          xx, s1, s2;
15   PetscReal    s1norm, s2norm, rnorm, tol = 100 * PETSC_SMALL;
16   PetscBool    flg, test_nd0 = PETSC_FALSE, emptynd;
17 
18   PetscFunctionBeginUser;
19   PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
20   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
21   PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
22 
23   PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_block_size", &bs, NULL));
24   PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_size", &m, NULL));
25   PetscCall(PetscOptionsGetInt(NULL, NULL, "-ov", &ov, NULL));
26   PetscCall(PetscOptionsGetInt(NULL, NULL, "-nd", &nd, NULL));
27   PetscCall(PetscOptionsGetBool(NULL, NULL, "-test_nd0", &test_nd0, NULL));
28 
29   /* Create a AIJ matrix A */
30   PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
31   PetscCall(MatSetSizes(A, m * bs, m * bs, PETSC_DECIDE, PETSC_DECIDE));
32   PetscCall(MatSetType(A, MATAIJ));
33   PetscCall(MatSetBlockSize(A, bs));
34   PetscCall(MatSeqAIJSetPreallocation(A, PETSC_DEFAULT, NULL));
35   PetscCall(MatMPIAIJSetPreallocation(A, PETSC_DEFAULT, NULL, PETSC_DEFAULT, NULL));
36   PetscCall(MatSetFromOptions(A));
37   PetscCall(MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
38 
39   /* Create a BAIJ matrix B */
40   PetscCall(MatCreate(PETSC_COMM_WORLD, &B));
41   PetscCall(MatSetSizes(B, m * bs, m * bs, PETSC_DECIDE, PETSC_DECIDE));
42   PetscCall(MatSetType(B, MATBAIJ));
43   PetscCall(MatSeqBAIJSetPreallocation(B, bs, PETSC_DEFAULT, NULL));
44   PetscCall(MatMPIBAIJSetPreallocation(B, bs, PETSC_DEFAULT, NULL, PETSC_DEFAULT, NULL));
45   PetscCall(MatSetFromOptions(B));
46   PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
47 
48   PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rdm));
49   PetscCall(PetscRandomSetFromOptions(rdm));
50 
51   PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
52   PetscCall(MatGetSize(A, &M, &N));
53   Mbs = M / bs;
54 
55   PetscCall(PetscMalloc1(bs, &rows));
56   PetscCall(PetscMalloc1(bs, &cols));
57   PetscCall(PetscMalloc1(bs * bs, &vals));
58   PetscCall(PetscMalloc1(M, &idx));
59 
60   /* Now set blocks of values */
61   for (i = 0; i < 40 * bs; i++) {
62     PetscInt nr = 1, nc = 1;
63     PetscCall(PetscRandomGetValue(rdm, &rval));
64     cols[0] = bs * (int)(PetscRealPart(rval) * Mbs);
65     PetscCall(PetscRandomGetValue(rdm, &rval));
66     rows[0] = rstart + bs * (int)(PetscRealPart(rval) * m);
67     for (j = 1; j < bs; j++) {
68       PetscCall(PetscRandomGetValue(rdm, &rval));
69       if (PetscRealPart(rval) > .5) rows[nr++] = rows[0] + j - 1;
70     }
71     for (j = 1; j < bs; j++) {
72       PetscCall(PetscRandomGetValue(rdm, &rval));
73       if (PetscRealPart(rval) > .5) cols[nc++] = cols[0] + j - 1;
74     }
75 
76     for (j = 0; j < nr * nc; j++) {
77       PetscCall(PetscRandomGetValue(rdm, &rval));
78       vals[j] = rval;
79     }
80     PetscCall(MatSetValues(A, nr, rows, nc, cols, vals, ADD_VALUES));
81     PetscCall(MatSetValues(B, nr, rows, nc, cols, vals, ADD_VALUES));
82   }
83   PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
84   PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
85   PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
86   PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
87 
88   /* Test MatConvert_MPIAIJ_MPI(S)BAIJ handles incompletely filled blocks */
89   PetscCall(MatConvert(A, MATBAIJ, MAT_INITIAL_MATRIX, &E));
90   PetscCall(MatDestroy(&E));
91   PetscCall(MatTranspose(A, MAT_INITIAL_MATRIX, &Bt));
92   PetscCall(MatAXPY(Bt, 1.0, B, DIFFERENT_NONZERO_PATTERN));
93   PetscCall(MatSetOption(Bt, MAT_SYMMETRIC, PETSC_TRUE));
94   PetscCall(MatConvert(Bt, MATSBAIJ, MAT_INITIAL_MATRIX, &E));
95   PetscCall(MatDestroy(&E));
96   PetscCall(MatDestroy(&Bt));
97 
98   /* Test MatIncreaseOverlap() */
99   PetscCall(PetscMalloc1(nd, &is1));
100   PetscCall(PetscMalloc1(nd, &is2));
101 
102   emptynd = PETSC_FALSE;
103   if (rank == 0 && test_nd0) emptynd = PETSC_TRUE; /* test case */
104 
105   for (i = 0; i < nd; i++) {
106     PetscCall(PetscRandomGetValue(rdm, &rval));
107     sz = (int)(PetscRealPart(rval) * m);
108     for (j = 0; j < sz; j++) {
109       PetscCall(PetscRandomGetValue(rdm, &rval));
110       idx[j * bs] = bs * (int)(PetscRealPart(rval) * Mbs);
111       for (k = 1; k < bs; k++) idx[j * bs + k] = idx[j * bs] + k;
112     }
113     PetscCall(ISCreateGeneral(PETSC_COMM_SELF, emptynd ? 0 : sz * bs, idx, PETSC_COPY_VALUES, is1 + i));
114     PetscCall(ISCreateGeneral(PETSC_COMM_SELF, emptynd ? 0 : sz * bs, idx, PETSC_COPY_VALUES, is2 + i));
115   }
116   PetscCall(MatIncreaseOverlap(A, nd, is1, ov));
117   PetscCall(MatIncreaseOverlap(B, nd, is2, ov));
118 
119   for (i = 0; i < nd; ++i) {
120     PetscCall(ISEqual(is1[i], is2[i], &flg));
121 
122     if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "i=%" PetscInt_FMT ", flg=%d :bs=%" PetscInt_FMT " m=%" PetscInt_FMT " ov=%" PetscInt_FMT " nd=%" PetscInt_FMT " np=%d\n", i, flg, bs, m, ov, nd, size));
123   }
124 
125   for (i = 0; i < nd; ++i) {
126     PetscCall(ISSort(is1[i]));
127     PetscCall(ISSort(is2[i]));
128   }
129 
130   PetscCall(MatCreateSubMatrices(B, nd, is2, is2, MAT_INITIAL_MATRIX, &submatB));
131   PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_INITIAL_MATRIX, &submatA));
132 
133   /* Test MatMult() */
134   for (i = 0; i < nd; i++) {
135     PetscCall(MatGetSize(submatA[i], &mm, &nn));
136     PetscCall(VecCreateSeq(PETSC_COMM_SELF, mm, &xx));
137     PetscCall(VecDuplicate(xx, &s1));
138     PetscCall(VecDuplicate(xx, &s2));
139     for (j = 0; j < 3; j++) {
140       PetscCall(VecSetRandom(xx, rdm));
141       PetscCall(MatMult(submatA[i], xx, s1));
142       PetscCall(MatMult(submatB[i], xx, s2));
143       PetscCall(VecNorm(s1, NORM_2, &s1norm));
144       PetscCall(VecNorm(s2, NORM_2, &s2norm));
145       rnorm = s2norm - s1norm;
146       if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "[%d]Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n", rank, (double)s1norm, (double)s2norm));
147     }
148     PetscCall(VecDestroy(&xx));
149     PetscCall(VecDestroy(&s1));
150     PetscCall(VecDestroy(&s2));
151   }
152 
153   /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */
154   PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_REUSE_MATRIX, &submatA));
155   PetscCall(MatCreateSubMatrices(B, nd, is2, is2, MAT_REUSE_MATRIX, &submatB));
156 
157   /* Test MatMult() */
158   for (i = 0; i < nd; i++) {
159     PetscCall(MatGetSize(submatA[i], &mm, &nn));
160     PetscCall(VecCreateSeq(PETSC_COMM_SELF, mm, &xx));
161     PetscCall(VecDuplicate(xx, &s1));
162     PetscCall(VecDuplicate(xx, &s2));
163     for (j = 0; j < 3; j++) {
164       PetscCall(VecSetRandom(xx, rdm));
165       PetscCall(MatMult(submatA[i], xx, s1));
166       PetscCall(MatMult(submatB[i], xx, s2));
167       PetscCall(VecNorm(s1, NORM_2, &s1norm));
168       PetscCall(VecNorm(s2, NORM_2, &s2norm));
169       rnorm = s2norm - s1norm;
170       if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "[%d]Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n", rank, (double)s1norm, (double)s2norm));
171     }
172     PetscCall(VecDestroy(&xx));
173     PetscCall(VecDestroy(&s1));
174     PetscCall(VecDestroy(&s2));
175   }
176 
177   /* Free allocated memory */
178   for (i = 0; i < nd; ++i) {
179     PetscCall(ISDestroy(&is1[i]));
180     PetscCall(ISDestroy(&is2[i]));
181   }
182   PetscCall(MatDestroySubMatrices(nd, &submatA));
183   PetscCall(MatDestroySubMatrices(nd, &submatB));
184 
185   PetscCall(PetscFree(is1));
186   PetscCall(PetscFree(is2));
187   PetscCall(PetscFree(idx));
188   PetscCall(PetscFree(rows));
189   PetscCall(PetscFree(cols));
190   PetscCall(PetscFree(vals));
191   PetscCall(MatDestroy(&A));
192   PetscCall(MatDestroy(&B));
193   PetscCall(PetscRandomDestroy(&rdm));
194   PetscCall(PetscFinalize());
195   return 0;
196 }
197 
198 /*TEST
199 
200    test:
201       nsize: {{1 3}}
202       args: -mat_block_size {{1 3 4 6 8}} -ov {{1 3}} -mat_size {{11 13}} -nd 7
203       output_file: output/ex54.out
204 
205    test:
206       suffix: 2
207       args: -nd 2 -test_nd0
208       output_file: output/ex54.out
209 
210    test:
211       suffix: 3
212       nsize: 3
213       args: -nd 2 -test_nd0
214       output_file: output/ex54.out
215 
216 TEST*/
217