xref: /petsc/src/mat/tests/ex48.c (revision 98d129c30f3ee9fdddc40fdbc5a989b7be64f888)
1 static char help[] = "Tests various routines in MatSeqBAIJ format.\n";
2 
3 #include <petscmat.h>
4 
5 int main(int argc, char **args)
6 {
7   Mat           A, B, C, D, Fact;
8   Vec           xx, s1, s2, yy;
9   PetscInt      m = 45, rows[2], cols[2], bs = 1, i, row, col, *idx, M;
10   PetscScalar   rval, vals1[4], vals2[4];
11   PetscRandom   rdm;
12   IS            is1, is2;
13   PetscReal     s1norm, s2norm, rnorm, tol = 1.e-4;
14   PetscBool     flg;
15   MatFactorInfo info;
16 
17   PetscFunctionBeginUser;
18   PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
19   /* Test MatSetValues() and MatGetValues() */
20   PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_block_size", &bs, NULL));
21   PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_size", &m, NULL));
22   M = m * bs;
23   PetscCall(MatCreateSeqBAIJ(PETSC_COMM_SELF, bs, M, M, 1, NULL, &A));
24   PetscCall(MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
25   PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, M, M, 15, NULL, &B));
26   PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
27   PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &rdm));
28   PetscCall(PetscRandomSetFromOptions(rdm));
29   PetscCall(VecCreateSeq(PETSC_COMM_SELF, M, &xx));
30   PetscCall(VecDuplicate(xx, &s1));
31   PetscCall(VecDuplicate(xx, &s2));
32   PetscCall(VecDuplicate(xx, &yy));
33 
34   /* For each row add at least 15 elements */
35   for (row = 0; row < M; row++) {
36     for (i = 0; i < 25 * bs; i++) {
37       PetscCall(PetscRandomGetValue(rdm, &rval));
38       col = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
39       PetscCall(MatSetValues(A, 1, &row, 1, &col, &rval, INSERT_VALUES));
40       PetscCall(MatSetValues(B, 1, &row, 1, &col, &rval, INSERT_VALUES));
41     }
42   }
43 
44   /* Now set blocks of values */
45   for (i = 0; i < 20 * bs; i++) {
46     PetscCall(PetscRandomGetValue(rdm, &rval));
47     cols[0]  = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
48     vals1[0] = rval;
49     PetscCall(PetscRandomGetValue(rdm, &rval));
50     cols[1]  = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
51     vals1[1] = rval;
52     PetscCall(PetscRandomGetValue(rdm, &rval));
53     rows[0]  = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
54     vals1[2] = rval;
55     PetscCall(PetscRandomGetValue(rdm, &rval));
56     rows[1]  = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
57     vals1[3] = rval;
58     PetscCall(MatSetValues(A, 2, rows, 2, cols, vals1, INSERT_VALUES));
59     PetscCall(MatSetValues(B, 2, rows, 2, cols, vals1, INSERT_VALUES));
60   }
61 
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));
66 
67   /* Test MatNorm() */
68   PetscCall(MatNorm(A, NORM_FROBENIUS, &s1norm));
69   PetscCall(MatNorm(B, NORM_FROBENIUS, &s2norm));
70   rnorm = PetscAbsReal(s2norm - s1norm) / s2norm;
71   if (rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatNorm_FROBENIUS()- NormA=%16.14e NormB=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
72   PetscCall(MatNorm(A, NORM_INFINITY, &s1norm));
73   PetscCall(MatNorm(B, NORM_INFINITY, &s2norm));
74   rnorm = PetscAbsReal(s2norm - s1norm) / s2norm;
75   if (rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatNorm_INFINITY()- NormA=%16.14e NormB=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
76   PetscCall(MatNorm(A, NORM_1, &s1norm));
77   PetscCall(MatNorm(B, NORM_1, &s2norm));
78   rnorm = PetscAbsReal(s2norm - s1norm) / s2norm;
79   if (rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatNorm_NORM_1()- NormA=%16.14e NormB=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
80 
81   /* MatShift() */
82   rval = 10 * s1norm;
83   PetscCall(MatShift(A, rval));
84   PetscCall(MatShift(B, rval));
85 
86   /* Test MatTranspose() */
87   PetscCall(MatTranspose(A, MAT_INPLACE_MATRIX, &A));
88   PetscCall(MatTranspose(B, MAT_INPLACE_MATRIX, &B));
89 
90   /* Now do MatGetValues()  */
91   for (i = 0; i < 30; i++) {
92     PetscCall(PetscRandomGetValue(rdm, &rval));
93     cols[0] = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
94     PetscCall(PetscRandomGetValue(rdm, &rval));
95     cols[1] = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
96     PetscCall(PetscRandomGetValue(rdm, &rval));
97     rows[0] = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
98     PetscCall(PetscRandomGetValue(rdm, &rval));
99     rows[1] = PetscMin(M - 1, (PetscInt)(PetscRealPart(rval) * M));
100     PetscCall(MatGetValues(A, 2, rows, 2, cols, vals1));
101     PetscCall(MatGetValues(B, 2, rows, 2, cols, vals2));
102     PetscCall(PetscArraycmp(vals1, vals2, 4, &flg));
103     if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatGetValues bs = %" PetscInt_FMT "\n", bs));
104   }
105 
106   /* Test MatMult(), MatMultAdd() */
107   for (i = 0; i < 40; i++) {
108     PetscCall(VecSetRandom(xx, rdm));
109     PetscCall(VecSet(s2, 0.0));
110     PetscCall(MatMult(A, xx, s1));
111     PetscCall(MatMultAdd(A, xx, s2, s2));
112     PetscCall(VecNorm(s1, NORM_2, &s1norm));
113     PetscCall(VecNorm(s2, NORM_2, &s2norm));
114     rnorm = s2norm - s1norm;
115     if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "MatMult not equal to MatMultAdd Norm1=%e Norm2=%e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
116   }
117 
118   /* Test MatMult() */
119   PetscCall(MatMultEqual(A, B, 10, &flg));
120   if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMult()\n"));
121 
122   /* Test MatMultAdd() */
123   PetscCall(MatMultAddEqual(A, B, 10, &flg));
124   if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMultAdd()\n"));
125 
126   /* Test MatMultTranspose() */
127   PetscCall(MatMultTransposeEqual(A, B, 10, &flg));
128   if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMultTranspose()\n"));
129 
130   /* Test MatMultTransposeAdd() */
131   PetscCall(MatMultTransposeAddEqual(A, B, 10, &flg));
132   if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMultTransposeAdd()\n"));
133 
134   /* Test MatMatMult() */
135   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, M, 40, NULL, &C));
136   PetscCall(MatSetRandom(C, rdm));
137   PetscCall(MatMatMult(A, C, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &D));
138   PetscCall(MatMatMultEqual(A, C, D, 40, &flg));
139   if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMatMult()\n"));
140   PetscCall(MatDestroy(&D));
141   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, M, 40, NULL, &D));
142   PetscCall(MatMatMult(A, C, MAT_REUSE_MATRIX, PETSC_DEFAULT, &D));
143   PetscCall(MatMatMultEqual(A, C, D, 40, &flg));
144   if (!flg) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMatMult()\n"));
145 
146   /* Do LUFactor() on both the matrices */
147   PetscCall(PetscMalloc1(M, &idx));
148   for (i = 0; i < M; i++) idx[i] = i;
149   PetscCall(ISCreateGeneral(PETSC_COMM_SELF, M, idx, PETSC_COPY_VALUES, &is1));
150   PetscCall(ISCreateGeneral(PETSC_COMM_SELF, M, idx, PETSC_COPY_VALUES, &is2));
151   PetscCall(PetscFree(idx));
152   PetscCall(ISSetPermutation(is1));
153   PetscCall(ISSetPermutation(is2));
154 
155   PetscCall(MatFactorInfoInitialize(&info));
156 
157   info.fill          = 2.0;
158   info.dtcol         = 0.0;
159   info.zeropivot     = 1.e-14;
160   info.pivotinblocks = 1.0;
161 
162   if (bs < 4) {
163     PetscCall(MatGetFactor(A, "petsc", MAT_FACTOR_LU, &Fact));
164     PetscCall(MatLUFactorSymbolic(Fact, A, is1, is2, &info));
165     PetscCall(MatLUFactorNumeric(Fact, A, &info));
166     PetscCall(VecSetRandom(yy, rdm));
167     PetscCall(MatForwardSolve(Fact, yy, xx));
168     PetscCall(MatBackwardSolve(Fact, xx, s1));
169     PetscCall(MatDestroy(&Fact));
170     PetscCall(VecScale(s1, -1.0));
171     PetscCall(MatMultAdd(A, s1, yy, yy));
172     PetscCall(VecNorm(yy, NORM_2, &rnorm));
173     if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatForwardSolve/MatBackwardSolve - Norm1=%16.14e bs = %" PetscInt_FMT "\n", (double)rnorm, bs));
174   }
175 
176   PetscCall(MatLUFactor(B, is1, is2, &info));
177   PetscCall(MatLUFactor(A, is1, is2, &info));
178 
179   /* Test MatSolveAdd() */
180   for (i = 0; i < 10; i++) {
181     PetscCall(VecSetRandom(xx, rdm));
182     PetscCall(VecSetRandom(yy, rdm));
183     PetscCall(MatSolveAdd(B, xx, yy, s2));
184     PetscCall(MatSolveAdd(A, xx, yy, s1));
185     PetscCall(VecNorm(s1, NORM_2, &s1norm));
186     PetscCall(VecNorm(s2, NORM_2, &s2norm));
187     rnorm = s2norm - s1norm;
188     if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatSolveAdd - Norm1=%16.14e Norm2=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
189   }
190 
191   /* Test MatSolveAdd() when x = A'b +x */
192   for (i = 0; i < 10; i++) {
193     PetscCall(VecSetRandom(xx, rdm));
194     PetscCall(VecSetRandom(s1, rdm));
195     PetscCall(VecCopy(s2, s1));
196     PetscCall(MatSolveAdd(B, xx, s2, s2));
197     PetscCall(MatSolveAdd(A, xx, s1, s1));
198     PetscCall(VecNorm(s1, NORM_2, &s1norm));
199     PetscCall(VecNorm(s2, NORM_2, &s2norm));
200     rnorm = s2norm - s1norm;
201     if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatSolveAdd(same) - Norm1=%16.14e Norm2=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
202   }
203 
204   /* Test MatSolve() */
205   for (i = 0; i < 10; i++) {
206     PetscCall(VecSetRandom(xx, rdm));
207     PetscCall(MatSolve(B, xx, s2));
208     PetscCall(MatSolve(A, xx, s1));
209     PetscCall(VecNorm(s1, NORM_2, &s1norm));
210     PetscCall(VecNorm(s2, NORM_2, &s2norm));
211     rnorm = s2norm - s1norm;
212     if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatSolve - Norm1=%16.14e Norm2=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
213   }
214 
215   /* Test MatSolveTranspose() */
216   if (bs < 8) {
217     for (i = 0; i < 10; i++) {
218       PetscCall(VecSetRandom(xx, rdm));
219       PetscCall(MatSolveTranspose(B, xx, s2));
220       PetscCall(MatSolveTranspose(A, xx, s1));
221       PetscCall(VecNorm(s1, NORM_2, &s1norm));
222       PetscCall(VecNorm(s2, NORM_2, &s2norm));
223       rnorm = s2norm - s1norm;
224       if (rnorm < -tol || rnorm > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatSolveTranspose - Norm1=%16.14e Norm2=%16.14e bs = %" PetscInt_FMT "\n", (double)s1norm, (double)s2norm, bs));
225     }
226   }
227 
228   PetscCall(MatDestroy(&A));
229   PetscCall(MatDestroy(&B));
230   PetscCall(MatDestroy(&C));
231   PetscCall(MatDestroy(&D));
232   PetscCall(VecDestroy(&xx));
233   PetscCall(VecDestroy(&s1));
234   PetscCall(VecDestroy(&s2));
235   PetscCall(VecDestroy(&yy));
236   PetscCall(ISDestroy(&is1));
237   PetscCall(ISDestroy(&is2));
238   PetscCall(PetscRandomDestroy(&rdm));
239   PetscCall(PetscFinalize());
240   return 0;
241 }
242 
243 /*TEST
244 
245    test:
246       args: -mat_block_size {{1 2 3 4 5 6 7 8}}
247 
248 TEST*/
249