xref: /petsc/src/mat/tests/ex77.c (revision b122ec5aa1bd4469eb4e0673542fb7de3f411254)
1 
2 static char help[] = "Tests the various sequential routines in MatSBAIJ format. Same as ex74.c except diagonal entries of the matrices are zeros.\n";
3 
4 #include <petscmat.h>
5 
6 int main(int argc,char **args)
7 {
8   Vec            x,y,b,s1,s2;
9   Mat            A;           /* linear system matrix */
10   Mat            sA;         /* symmetric part of the matrices */
11   PetscInt       n,mbs=16,bs=1,nz=3,prob=2,i,j,col[3],row,Ii,J,n1;
12   const PetscInt *ip_ptr;
13   PetscScalar    neg_one = -1.0,value[3],alpha=0.1;
14   PetscMPIInt    size;
15   IS             ip, isrow, iscol;
16   PetscRandom    rdm;
17   PetscBool      reorder=PETSC_FALSE;
18   MatInfo        minfo1,minfo2;
19   PetscReal      norm1,norm2,tol=10*PETSC_SMALL;
20 
21   CHKERRQ(PetscInitialize(&argc,&args,(char*)0,help));
22   CHKERRMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
23   PetscCheckFalse(size != 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only!");
24   CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-bs",&bs,NULL));
25   CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-mbs",&mbs,NULL));
26 
27   n   = mbs*bs;
28   CHKERRQ(MatCreateSeqBAIJ(PETSC_COMM_WORLD,bs,n,n,nz,NULL, &A));
29   CHKERRQ(MatSetOption(A,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE));
30   CHKERRQ(MatCreateSeqSBAIJ(PETSC_COMM_WORLD,bs,n,n,nz,NULL, &sA));
31   CHKERRQ(MatSetOption(sA,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE));
32 
33   /* Test MatGetOwnershipRange() */
34   CHKERRQ(MatGetOwnershipRange(A,&Ii,&J));
35   CHKERRQ(MatGetOwnershipRange(sA,&i,&j));
36   if (i-Ii || j-J) {
37     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatGetOwnershipRange() in MatSBAIJ format\n"));
38   }
39 
40   /* Assemble matrix */
41   if (bs == 1) {
42     CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-test_problem",&prob,NULL));
43     if (prob == 1) { /* tridiagonal matrix */
44       value[0] = -1.0; value[1] = 2.0; value[2] = -1.0;
45       for (i=1; i<n-1; i++) {
46         col[0] = i-1; col[1] = i; col[2] = i+1;
47         CHKERRQ(MatSetValues(A,1,&i,3,col,value,INSERT_VALUES));
48         CHKERRQ(MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES));
49       }
50       i = n - 1; col[0]=0; col[1] = n - 2; col[2] = n - 1;
51 
52       value[0]= 0.1; value[1]=-1; value[2]=2;
53       CHKERRQ(MatSetValues(A,1,&i,3,col,value,INSERT_VALUES));
54       CHKERRQ(MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES));
55 
56       i = 0; col[0] = 0; col[1] = 1; col[2]=n-1;
57 
58       value[0] = 2.0; value[1] = -1.0; value[2]=0.1;
59       CHKERRQ(MatSetValues(A,1,&i,3,col,value,INSERT_VALUES));
60       CHKERRQ(MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES));
61     } else if (prob ==2) { /* matrix for the five point stencil */
62       n1 = (PetscInt) (PetscSqrtReal((PetscReal)n) + 0.001);
63       PetscCheckFalse(n1*n1 - n,PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"sqrt(n) must be a positive integer!");
64       for (i=0; i<n1; i++) {
65         for (j=0; j<n1; j++) {
66           Ii = j + n1*i;
67           if (i>0) {
68             J    = Ii - n1;
69             CHKERRQ(MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
70             CHKERRQ(MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
71           }
72           if (i<n1-1) {
73             J    = Ii + n1;
74             CHKERRQ(MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
75             CHKERRQ(MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
76           }
77           if (j>0) {
78             J    = Ii - 1;
79             CHKERRQ(MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
80             CHKERRQ(MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
81           }
82           if (j<n1-1) {
83             J    = Ii + 1;
84             CHKERRQ(MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
85             CHKERRQ(MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES));
86           }
87         }
88       }
89     }
90   } else { /* bs > 1 */
91 #if defined(DIAGB)
92     for (block=0; block<n/bs; block++) {
93       /* diagonal blocks */
94       value[0] = -1.0; value[1] = 4.0; value[2] = -1.0;
95       for (i=1+block*bs; i<bs-1+block*bs; i++) {
96         col[0] = i-1; col[1] = i; col[2] = i+1;
97         CHKERRQ(MatSetValues(A,1,&i,3,col,value,INSERT_VALUES));
98         CHKERRQ(MatSetValues(sA,1,&i,3,col,value,INSERT_VALUES));
99       }
100       i = bs - 1+block*bs; col[0] = bs - 2+block*bs; col[1] = bs - 1+block*bs;
101 
102       value[0]=-1.0; value[1]=4.0;
103       CHKERRQ(MatSetValues(A,1,&i,2,col,value,INSERT_VALUES));
104       CHKERRQ(MatSetValues(sA,1,&i,2,col,value,INSERT_VALUES));
105 
106       i = 0+block*bs; col[0] = 0+block*bs; col[1] = 1+block*bs;
107 
108       value[0]=4.0; value[1] = -1.0;
109       CHKERRQ(MatSetValues(A,1,&i,2,col,value,INSERT_VALUES));
110       CHKERRQ(MatSetValues(sA,1,&i,2,col,value,INSERT_VALUES));
111     }
112 #endif
113     /* off-diagonal blocks */
114     value[0]=-1.0;
115     for (i=0; i<(n/bs-1)*bs; i++) {
116       col[0]=i+bs;
117       CHKERRQ(MatSetValues(A,1,&i,1,col,value,INSERT_VALUES));
118       CHKERRQ(MatSetValues(sA,1,&i,1,col,value,INSERT_VALUES));
119       col[0]=i; row=i+bs;
120       CHKERRQ(MatSetValues(A,1,&row,1,col,value,INSERT_VALUES));
121       CHKERRQ(MatSetValues(sA,1,&row,1,col,value,INSERT_VALUES));
122     }
123   }
124   CHKERRQ(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
125   CHKERRQ(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
126 
127   CHKERRQ(MatAssemblyBegin(sA,MAT_FINAL_ASSEMBLY));
128   CHKERRQ(MatAssemblyEnd(sA,MAT_FINAL_ASSEMBLY));
129 
130   /* Test MatNorm() */
131   CHKERRQ(MatNorm(A,NORM_FROBENIUS,&norm1));
132   CHKERRQ(MatNorm(sA,NORM_FROBENIUS,&norm2));
133   norm1 -= norm2;
134   if (norm1<-tol || norm1>tol) {
135     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm(), fnorm1-fnorm2=%16.14e\n",(double)norm1));
136   }
137   CHKERRQ(MatNorm(A,NORM_INFINITY,&norm1));
138   CHKERRQ(MatNorm(sA,NORM_INFINITY,&norm2));
139   norm1 -= norm2;
140   if (norm1<-tol || norm1>tol) {
141     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm(), inf_norm1-inf_norm2=%16.14e\n",(double)norm1));
142   }
143 
144   /* Test MatGetInfo(), MatGetSize(), MatGetBlockSize() */
145   CHKERRQ(MatGetInfo(A,MAT_LOCAL,&minfo1));
146   CHKERRQ(MatGetInfo(sA,MAT_LOCAL,&minfo2));
147   i = (int) (minfo1.nz_used - minfo2.nz_used);
148   j = (int) (minfo1.nz_allocated - minfo2.nz_allocated);
149   if (i<0 || j<0) {
150     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatGetInfo()\n"));
151   }
152 
153   CHKERRQ(MatGetSize(A,&Ii,&J));
154   CHKERRQ(MatGetSize(sA,&i,&j));
155   if (i-Ii || j-J) {
156     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatGetSize()\n"));
157   }
158 
159   CHKERRQ(MatGetBlockSize(A, &Ii));
160   CHKERRQ(MatGetBlockSize(sA, &i));
161   if (i-Ii) {
162     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatGetBlockSize()\n"));
163   }
164 
165   /* Test MatDiagonalScale(), MatGetDiagonal(), MatScale() */
166   CHKERRQ(PetscRandomCreate(PETSC_COMM_SELF,&rdm));
167   CHKERRQ(PetscRandomSetFromOptions(rdm));
168   CHKERRQ(VecCreateSeq(PETSC_COMM_SELF,n,&x));
169   CHKERRQ(VecDuplicate(x,&s1));
170   CHKERRQ(VecDuplicate(x,&s2));
171   CHKERRQ(VecDuplicate(x,&y));
172   CHKERRQ(VecDuplicate(x,&b));
173 
174   CHKERRQ(VecSetRandom(x,rdm));
175 
176   CHKERRQ(MatDiagonalScale(A,x,x));
177   CHKERRQ(MatDiagonalScale(sA,x,x));
178 
179   CHKERRQ(MatGetDiagonal(A,s1));
180   CHKERRQ(MatGetDiagonal(sA,s2));
181   CHKERRQ(VecNorm(s1,NORM_1,&norm1));
182   CHKERRQ(VecNorm(s2,NORM_1,&norm2));
183   norm1 -= norm2;
184   if (norm1<-tol || norm1>tol) {
185     CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error:MatGetDiagonal() \n"));
186   }
187 
188   CHKERRQ(MatScale(A,alpha));
189   CHKERRQ(MatScale(sA,alpha));
190 
191   /* Test MatMult(), MatMultAdd() */
192   for (i=0; i<40; i++) {
193     CHKERRQ(VecSetRandom(x,rdm));
194     CHKERRQ(MatMult(A,x,s1));
195     CHKERRQ(MatMult(sA,x,s2));
196     CHKERRQ(VecNorm(s1,NORM_1,&norm1));
197     CHKERRQ(VecNorm(s2,NORM_1,&norm2));
198     norm1 -= norm2;
199     if (norm1<-tol || norm1>tol) {
200       CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error: MatMult(), MatDiagonalScale() or MatScale()\n"));
201     }
202   }
203 
204   for (i=0; i<40; i++) {
205     CHKERRQ(VecSetRandom(x,rdm));
206     CHKERRQ(VecSetRandom(y,rdm));
207     CHKERRQ(MatMultAdd(A,x,y,s1));
208     CHKERRQ(MatMultAdd(sA,x,y,s2));
209     CHKERRQ(VecNorm(s1,NORM_1,&norm1));
210     CHKERRQ(VecNorm(s2,NORM_1,&norm2));
211     norm1 -= norm2;
212     if (norm1<-tol || norm1>tol) {
213       CHKERRQ(PetscPrintf(PETSC_COMM_SELF,"Error:MatMultAdd(), MatDiagonalScale() or MatScale() \n"));
214     }
215   }
216 
217   /* Test MatReordering() */
218   CHKERRQ(MatGetOrdering(A,MATORDERINGNATURAL,&isrow,&iscol));
219   ip   = isrow;
220 
221   if (reorder) {
222     IS       nip;
223     PetscInt *nip_ptr;
224     CHKERRQ(PetscMalloc1(mbs,&nip_ptr));
225     CHKERRQ(ISGetIndices(ip,&ip_ptr));
226     CHKERRQ(PetscArraycpy(nip_ptr,ip_ptr,mbs));
227     i    = nip_ptr[1]; nip_ptr[1] = nip_ptr[mbs-2]; nip_ptr[mbs-2] = i;
228     i    = nip_ptr[0]; nip_ptr[0] = nip_ptr[mbs-1]; nip_ptr[mbs-1] = i;
229     CHKERRQ(ISRestoreIndices(ip,&ip_ptr));
230     CHKERRQ(ISCreateGeneral(PETSC_COMM_SELF,mbs,nip_ptr,PETSC_COPY_VALUES,&nip));
231     CHKERRQ(PetscFree(nip_ptr));
232 
233     CHKERRQ(MatReorderingSeqSBAIJ(sA, ip));
234     CHKERRQ(ISDestroy(&nip));
235   }
236 
237   CHKERRQ(ISDestroy(&iscol));
238   CHKERRQ(ISDestroy(&isrow));
239   CHKERRQ(MatDestroy(&A));
240   CHKERRQ(MatDestroy(&sA));
241   CHKERRQ(VecDestroy(&x));
242   CHKERRQ(VecDestroy(&y));
243   CHKERRQ(VecDestroy(&s1));
244   CHKERRQ(VecDestroy(&s2));
245   CHKERRQ(VecDestroy(&b));
246   CHKERRQ(PetscRandomDestroy(&rdm));
247 
248   CHKERRQ(PetscFinalize());
249   return 0;
250 }
251 
252 /*TEST
253 
254    test:
255       args: -bs {{1 2 3 4 5 6 7 8}}
256 
257 TEST*/
258