xref: /petsc/src/mat/tests/ex225.c (revision 6a98f8dc3f2c9149905a87dc2e9d0fedaf64e09a)
1 
2 static char help[] = "Test Hypre matrix APIs\n";
3 
4 #include <petscmathypre.h>
5 
6 int main(int argc,char **args)
7 {
8   Mat            A, B, C;
9   PetscReal      err;
10   PetscInt       i,j,M = 20;
11   PetscErrorCode ierr;
12   PetscMPIInt    NP;
13   MPI_Comm       comm;
14   PetscInt       *rows;
15 
16   ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
17   comm = PETSC_COMM_WORLD;
18   ierr = MPI_Comm_size(comm,&NP);CHKERRQ(ierr);
19   ierr = PetscOptionsGetInt(NULL,NULL,"-M",&M,NULL);CHKERRQ(ierr);
20   if (M < 6) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Matrix has to have more than 6 columns");
21   /* Hypre matrix */
22   ierr = MatCreate(comm,&B);CHKERRQ(ierr);
23   ierr = MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,M,M);CHKERRQ(ierr);
24   ierr = MatSetType(B,MATHYPRE);CHKERRQ(ierr);
25   ierr = MatHYPRESetPreallocation(B,9,NULL,9,NULL);CHKERRQ(ierr);
26 
27   /* PETSc AIJ matrix */
28   ierr = MatCreate(comm,&A);CHKERRQ(ierr);
29   ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,M,M);CHKERRQ(ierr);
30   ierr = MatSetType(A,MATAIJ);CHKERRQ(ierr);
31   ierr = MatSeqAIJSetPreallocation(A,9,NULL);CHKERRQ(ierr);
32   ierr = MatMPIAIJSetPreallocation(A,9,NULL,9,NULL);CHKERRQ(ierr);
33 
34   /*Set Values */
35   for (i=0; i<M; i++) {
36     PetscInt    cols[] = {0,1,2,3,4,5};
37     PetscScalar vals[6] = {0};
38     PetscScalar value[] = {100};
39     for (j=0; j<6; j++)
40       vals[j] = ((PetscReal)j)/NP;
41 
42     ierr = MatSetValues(B,1,&i,6,cols,vals,ADD_VALUES);CHKERRQ(ierr);
43     ierr = MatSetValues(B,1,&i,1,&i,value,ADD_VALUES);CHKERRQ(ierr);
44     ierr = MatSetValues(A,1,&i,6,cols,vals,ADD_VALUES);CHKERRQ(ierr);
45     ierr = MatSetValues(A,1,&i,1,&i,value,ADD_VALUES);CHKERRQ(ierr);
46   }
47 
48   /* MAT_FLUSH_ASSEMBLY currently not supported */
49   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
50   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
51   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
52   ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
53 
54   /* Compare A and B */
55   ierr = MatConvert(B,MATAIJ,MAT_INITIAL_MATRIX,&C);CHKERRQ(ierr);
56   ierr = MatAXPY(C,-1.,A,SAME_NONZERO_PATTERN);CHKERRQ(ierr);
57   ierr = MatNorm(C,NORM_INFINITY,&err);CHKERRQ(ierr);
58   if (err > PETSC_SMALL) SETERRQ1(PetscObjectComm((PetscObject)B),PETSC_ERR_PLIB,"Error MatSetValues %g",err);
59   ierr = MatDestroy(&C);CHKERRQ(ierr);
60 
61   /* MatZeroRows */
62   ierr = PetscMalloc1(M, &rows);CHKERRQ(ierr);
63   for (i=0; i<M; i++) rows[i] = i;
64   ierr = MatZeroRows(B, M, rows, 10.0, NULL, NULL);CHKERRQ(ierr);
65   ierr = MatSetOption(A, MAT_KEEP_NONZERO_PATTERN, PETSC_TRUE);CHKERRQ(ierr);
66   ierr = MatZeroRows(A, M, rows, 10.0,NULL, NULL);CHKERRQ(ierr);
67   ierr = MatConvert(B,MATAIJ,MAT_INITIAL_MATRIX,&C);CHKERRQ(ierr);
68   ierr = MatAXPY(C,-1.,A,SAME_NONZERO_PATTERN);CHKERRQ(ierr);
69   ierr = MatNorm(C,NORM_INFINITY,&err);CHKERRQ(ierr);
70   if (err > PETSC_SMALL) SETERRQ1(PetscObjectComm((PetscObject)B),PETSC_ERR_PLIB,"Error MatZeroRows %g",err);
71   ierr = MatDestroy(&C);CHKERRQ(ierr);
72   ierr = PetscFree(rows);CHKERRQ(ierr);
73 
74   /* Test MatZeroEntries */
75   ierr = MatZeroEntries(B);CHKERRQ(ierr);
76   ierr = MatConvert(B,MATAIJ,MAT_INITIAL_MATRIX,&C);CHKERRQ(ierr);
77   ierr = MatNorm(C,NORM_INFINITY,&err);CHKERRQ(ierr);
78   if (err > PETSC_SMALL) SETERRQ1(PetscObjectComm((PetscObject)A),PETSC_ERR_PLIB,"Error MatZeroEntries %g",err);
79   ierr = MatDestroy(&C);CHKERRQ(ierr);
80 
81   /* Insert Values */
82   for (i=0; i<M; i++) {
83     PetscInt    cols[] = {0,1,2,3,4,5};
84     PetscScalar vals[6] = {0};
85     PetscScalar value[] = {100};
86 
87     for (j=0; j<6; j++)
88       vals[j] = ((PetscReal)j)/NP;
89 
90     ierr = MatSetValues(B,1,&i,6,cols,vals,INSERT_VALUES);CHKERRQ(ierr);
91     ierr = MatSetValues(B,1,&i,1,&i,value,INSERT_VALUES);CHKERRQ(ierr);
92     ierr = MatSetValues(A,1,&i,6,cols,vals,INSERT_VALUES);CHKERRQ(ierr);
93     ierr = MatSetValues(A,1,&i,1,&i,value,INSERT_VALUES);CHKERRQ(ierr);
94   }
95 
96   /* MAT_FLUSH_ASSEMBLY currently not supported */
97   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
98   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
99   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
100   ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
101 
102   /* Rows are not sorted with HYPRE so we need an intermediate sort
103      They use a temporary buffer, so we can sort inplace the const memory */
104   {
105     const PetscInt    *idxA,*idxB;
106     const PetscScalar *vA, *vB;
107     PetscInt          rstart, rend, nzA, nzB;
108     PetscInt          cols[] = {0,1,2,3,4,-5};
109     PetscInt          *rows;
110     PetscScalar       *valuesA, *valuesB;
111     PetscBool         flg;
112 
113     ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
114     for (i=rstart; i<rend; i++) {
115       ierr = MatGetRow(A,i,&nzA,&idxA,&vA);CHKERRQ(ierr);
116       ierr = MatGetRow(B,i,&nzB,&idxB,&vB);CHKERRQ(ierr);
117       if (nzA!=nzB) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error MatGetRow %D", nzA-nzB);
118       ierr = PetscSortIntWithScalarArray(nzB,(PetscInt*)idxB,(PetscScalar*)vB);CHKERRQ(ierr);
119       ierr = PetscArraycmp(idxA,idxB,nzA,&flg);CHKERRQ(ierr);
120       if (!flg) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error MatGetRow %D (indices)",i);
121       ierr = PetscArraycmp(vA,vB,nzA,&flg);CHKERRQ(ierr);
122       if (!flg) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error MatGetRow %D (values)",i);
123       ierr = MatRestoreRow(A,i,&nzA,&idxA,&vA);CHKERRQ(ierr);
124       ierr = MatRestoreRow(B,i,&nzB,&idxB,&vB);CHKERRQ(ierr);
125     }
126 
127     ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
128     ierr = PetscCalloc3((rend-rstart)*6,&valuesA,(rend-rstart)*6,&valuesB,rend-rstart,&rows);CHKERRQ(ierr);
129     for (i=rstart; i<rend; i++) rows[i-rstart] =i;
130 
131     ierr = MatGetValues(A,rend-rstart,rows,6,cols,valuesA);CHKERRQ(ierr);
132     ierr = MatGetValues(B,rend-rstart,rows,6,cols,valuesB);CHKERRQ(ierr);
133 
134     for (i=0; i<(rend-rstart); i++) {
135       ierr = PetscArraycmp(valuesA + 6*i,valuesB + 6*i,6,&flg);CHKERRQ(ierr);
136       if (!flg) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error MatGetValues %D",i + rstart);
137     }
138     ierr = PetscFree3(valuesA,valuesB,rows);CHKERRQ(ierr);
139   }
140 
141   /* Compare A and B */
142   ierr = MatConvert(B,MATAIJ,MAT_INITIAL_MATRIX,&C);CHKERRQ(ierr);
143   ierr = MatAXPY(C,-1.,A,SAME_NONZERO_PATTERN);CHKERRQ(ierr);
144   ierr = MatNorm(C,NORM_INFINITY,&err);CHKERRQ(ierr);
145   if (err > PETSC_SMALL) SETERRQ1(PetscObjectComm((PetscObject)B),PETSC_ERR_PLIB,"Error MatSetValues with INSERT_VALUES %g",err);
146 
147   ierr = MatDestroy(&A);CHKERRQ(ierr);
148   ierr = MatDestroy(&B);CHKERRQ(ierr);
149   ierr = MatDestroy(&C);CHKERRQ(ierr);
150 
151   ierr = PetscFinalize();
152   return ierr;
153 }
154 
155 
156 /*TEST
157 
158    build:
159       requires: hypre
160 
161    test:
162       suffix: 1
163 
164    test:
165       output_file: output/ex225_1.out
166       nsize: 2
167       suffix: 2
168 
169 TEST*/
170