xref: /petsc/src/mat/tests/ex51.c (revision 2c71b3e237ead271e4f3aa1505f92bf476e3413d)
1c4762a1bSJed Brown 
2c4762a1bSJed Brown static char help[] = "Tests MatIncreaseOverlap(), MatCreateSubMatrices() for MatBAIJ format.\n";
3c4762a1bSJed Brown 
4c4762a1bSJed Brown #include <petscmat.h>
5c4762a1bSJed Brown 
6c4762a1bSJed Brown int main(int argc,char **args)
7c4762a1bSJed Brown {
8c4762a1bSJed Brown   Mat            A,B,*submatA,*submatB;
9c4762a1bSJed Brown   PetscInt       bs=1,m=43,ov=1,i,j,k,*rows,*cols,M,nd=5,*idx,mm,nn,lsize;
10c4762a1bSJed Brown   PetscErrorCode ierr;
11c4762a1bSJed Brown   PetscScalar    *vals,rval;
12c4762a1bSJed Brown   IS             *is1,*is2;
13c4762a1bSJed Brown   PetscRandom    rdm;
14c4762a1bSJed Brown   Vec            xx,s1,s2;
15c4762a1bSJed Brown   PetscReal      s1norm,s2norm,rnorm,tol = PETSC_SQRT_MACHINE_EPSILON;
16c4762a1bSJed Brown   PetscBool      flg;
17c4762a1bSJed Brown 
18c4762a1bSJed Brown   ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
19c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-mat_block_size",&bs,NULL);CHKERRQ(ierr);
20c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-mat_size",&m,NULL);CHKERRQ(ierr);
21c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-ov",&ov,NULL);CHKERRQ(ierr);
22c4762a1bSJed Brown   ierr = PetscOptionsGetInt(NULL,NULL,"-nd",&nd,NULL);CHKERRQ(ierr);
23c4762a1bSJed Brown   M    = m*bs;
24c4762a1bSJed Brown 
25c4762a1bSJed Brown   ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,bs,M,M,1,NULL,&A);CHKERRQ(ierr);
26c4762a1bSJed Brown   ierr = MatSetOption(A,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE);CHKERRQ(ierr);
27c4762a1bSJed Brown   ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,M,M,15,NULL,&B);CHKERRQ(ierr);
28c4762a1bSJed Brown   ierr = MatSetOption(B,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE);CHKERRQ(ierr);
29c4762a1bSJed Brown   ierr = PetscRandomCreate(PETSC_COMM_SELF,&rdm);CHKERRQ(ierr);
30c4762a1bSJed Brown   ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
31c4762a1bSJed Brown 
32c4762a1bSJed Brown   ierr = PetscMalloc1(bs,&rows);CHKERRQ(ierr);
33c4762a1bSJed Brown   ierr = PetscMalloc1(bs,&cols);CHKERRQ(ierr);
34c4762a1bSJed Brown   ierr = PetscMalloc1(bs*bs,&vals);CHKERRQ(ierr);
35c4762a1bSJed Brown   ierr = PetscMalloc1(M,&idx);CHKERRQ(ierr);
36c4762a1bSJed Brown 
37c4762a1bSJed Brown   /* Now set blocks of values */
38c4762a1bSJed Brown   for (i=0; i<20*bs; i++) {
39c4762a1bSJed Brown     ierr    = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
40c4762a1bSJed Brown     cols[0] = bs*(int)(PetscRealPart(rval)*m);
41c4762a1bSJed Brown     ierr    = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
42c4762a1bSJed Brown     rows[0] = bs*(int)(PetscRealPart(rval)*m);
43c4762a1bSJed Brown     for (j=1; j<bs; j++) {
44c4762a1bSJed Brown       rows[j] = rows[j-1]+1;
45c4762a1bSJed Brown       cols[j] = cols[j-1]+1;
46c4762a1bSJed Brown     }
47c4762a1bSJed Brown 
48c4762a1bSJed Brown     for (j=0; j<bs*bs; j++) {
49c4762a1bSJed Brown       ierr    = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
50c4762a1bSJed Brown       vals[j] = rval;
51c4762a1bSJed Brown     }
52c4762a1bSJed Brown     ierr = MatSetValues(A,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
53c4762a1bSJed Brown     ierr = MatSetValues(B,bs,rows,bs,cols,vals,ADD_VALUES);CHKERRQ(ierr);
54c4762a1bSJed Brown   }
55c4762a1bSJed Brown 
56c4762a1bSJed Brown   ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
57c4762a1bSJed Brown   ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
58c4762a1bSJed Brown   ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
59c4762a1bSJed Brown   ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
60c4762a1bSJed Brown 
61c4762a1bSJed Brown   /* Test MatIncreaseOverlap() */
62c4762a1bSJed Brown   ierr = PetscMalloc1(nd,&is1);CHKERRQ(ierr);
63c4762a1bSJed Brown   ierr = PetscMalloc1(nd,&is2);CHKERRQ(ierr);
64c4762a1bSJed Brown 
65c4762a1bSJed Brown   for (i=0; i<nd; i++) {
66c4762a1bSJed Brown     ierr  = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
67c4762a1bSJed Brown     lsize = (int)(PetscRealPart(rval)*m);
68c4762a1bSJed Brown     for (j=0; j<lsize; j++) {
69c4762a1bSJed Brown       ierr      = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
70c4762a1bSJed Brown       idx[j*bs] = bs*(int)(PetscRealPart(rval)*m);
71c4762a1bSJed Brown       for (k=1; k<bs; k++) idx[j*bs+k] = idx[j*bs]+k;
72c4762a1bSJed Brown     }
73c4762a1bSJed Brown     ierr = ISCreateGeneral(PETSC_COMM_SELF,lsize*bs,idx,PETSC_COPY_VALUES,is1+i);CHKERRQ(ierr);
74c4762a1bSJed Brown     ierr = ISCreateGeneral(PETSC_COMM_SELF,lsize*bs,idx,PETSC_COPY_VALUES,is2+i);CHKERRQ(ierr);
75c4762a1bSJed Brown   }
76c4762a1bSJed Brown   ierr = MatIncreaseOverlap(A,nd,is1,ov);CHKERRQ(ierr);
77c4762a1bSJed Brown   ierr = MatIncreaseOverlap(B,nd,is2,ov);CHKERRQ(ierr);
78c4762a1bSJed Brown 
79c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
80c4762a1bSJed Brown     ierr = ISEqual(is1[i],is2[i],&flg);CHKERRQ(ierr);
81*2c71b3e2SJacob Faibussowitsch     PetscCheckFalse(!flg,PETSC_COMM_SELF,PETSC_ERR_PLIB,"i=%" PetscInt_FMT ", flg =%d",i,(int)flg);
82c4762a1bSJed Brown   }
83c4762a1bSJed Brown 
84c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
85c4762a1bSJed Brown     ierr = ISSort(is1[i]);CHKERRQ(ierr);
86c4762a1bSJed Brown     ierr = ISSort(is2[i]);CHKERRQ(ierr);
87c4762a1bSJed Brown   }
88c4762a1bSJed Brown 
89c4762a1bSJed Brown   ierr = MatCreateSubMatrices(A,nd,is1,is1,MAT_INITIAL_MATRIX,&submatA);CHKERRQ(ierr);
90c4762a1bSJed Brown   ierr = MatCreateSubMatrices(B,nd,is2,is2,MAT_INITIAL_MATRIX,&submatB);CHKERRQ(ierr);
91c4762a1bSJed Brown 
92c4762a1bSJed Brown   /* Test MatMult() */
93c4762a1bSJed Brown   for (i=0; i<nd; i++) {
94c4762a1bSJed Brown     ierr = MatGetSize(submatA[i],&mm,&nn);CHKERRQ(ierr);
95c4762a1bSJed Brown     ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
96c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
97c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
98c4762a1bSJed Brown     for (j=0; j<3; j++) {
99c4762a1bSJed Brown       ierr  = VecSetRandom(xx,rdm);CHKERRQ(ierr);
100c4762a1bSJed Brown       ierr  = MatMult(submatA[i],xx,s1);CHKERRQ(ierr);
101c4762a1bSJed Brown       ierr  = MatMult(submatB[i],xx,s2);CHKERRQ(ierr);
102c4762a1bSJed Brown       ierr  = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
103c4762a1bSJed Brown       ierr  = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
104c4762a1bSJed Brown       rnorm = s2norm-s1norm;
105c4762a1bSJed Brown       if (rnorm<-tol || rnorm>tol) {
1068fffc762SJacob Faibussowitsch         ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",(double)s1norm,(double)s2norm);CHKERRQ(ierr);
107c4762a1bSJed Brown       }
108c4762a1bSJed Brown     }
109c4762a1bSJed Brown     ierr = VecDestroy(&xx);CHKERRQ(ierr);
110c4762a1bSJed Brown     ierr = VecDestroy(&s1);CHKERRQ(ierr);
111c4762a1bSJed Brown     ierr = VecDestroy(&s2);CHKERRQ(ierr);
112c4762a1bSJed Brown   }
113c4762a1bSJed Brown   /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */
114c4762a1bSJed Brown   ierr = MatCreateSubMatrices(A,nd,is1,is1,MAT_REUSE_MATRIX,&submatA);CHKERRQ(ierr);
115c4762a1bSJed Brown   ierr = MatCreateSubMatrices(B,nd,is2,is2,MAT_REUSE_MATRIX,&submatB);CHKERRQ(ierr);
116c4762a1bSJed Brown 
117c4762a1bSJed Brown   /* Test MatMult() */
118c4762a1bSJed Brown   for (i=0; i<nd; i++) {
119c4762a1bSJed Brown     ierr = MatGetSize(submatA[i],&mm,&nn);CHKERRQ(ierr);
120c4762a1bSJed Brown     ierr = VecCreateSeq(PETSC_COMM_SELF,mm,&xx);CHKERRQ(ierr);
121c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
122c4762a1bSJed Brown     ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
123c4762a1bSJed Brown     for (j=0; j<3; j++) {
124c4762a1bSJed Brown       ierr  = VecSetRandom(xx,rdm);CHKERRQ(ierr);
125c4762a1bSJed Brown       ierr  = MatMult(submatA[i],xx,s1);CHKERRQ(ierr);
126c4762a1bSJed Brown       ierr  = MatMult(submatB[i],xx,s2);CHKERRQ(ierr);
127c4762a1bSJed Brown       ierr  = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
128c4762a1bSJed Brown       ierr  = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
129c4762a1bSJed Brown       rnorm = s2norm-s1norm;
130c4762a1bSJed Brown       if (rnorm<-tol || rnorm>tol) {
1318fffc762SJacob Faibussowitsch         ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMult - Norm1=%16.14e Norm2=%16.14e\n",(double)s1norm,(double)s2norm);CHKERRQ(ierr);
132c4762a1bSJed Brown       }
133c4762a1bSJed Brown     }
134c4762a1bSJed Brown     ierr = VecDestroy(&xx);CHKERRQ(ierr);
135c4762a1bSJed Brown     ierr = VecDestroy(&s1);CHKERRQ(ierr);
136c4762a1bSJed Brown     ierr = VecDestroy(&s2);CHKERRQ(ierr);
137c4762a1bSJed Brown   }
138c4762a1bSJed Brown 
139c4762a1bSJed Brown   /* Free allocated memory */
140c4762a1bSJed Brown   for (i=0; i<nd; ++i) {
141c4762a1bSJed Brown     ierr = ISDestroy(&is1[i]);CHKERRQ(ierr);
142c4762a1bSJed Brown     ierr = ISDestroy(&is2[i]);CHKERRQ(ierr);
143c4762a1bSJed Brown   }
144c4762a1bSJed Brown   ierr = MatDestroySubMatrices(nd,&submatA);CHKERRQ(ierr);
145c4762a1bSJed Brown   ierr = MatDestroySubMatrices(nd,&submatB);CHKERRQ(ierr);
146c4762a1bSJed Brown   ierr = PetscFree(is1);CHKERRQ(ierr);
147c4762a1bSJed Brown   ierr = PetscFree(is2);CHKERRQ(ierr);
148c4762a1bSJed Brown   ierr = PetscFree(idx);CHKERRQ(ierr);
149c4762a1bSJed Brown   ierr = PetscFree(rows);CHKERRQ(ierr);
150c4762a1bSJed Brown   ierr = PetscFree(cols);CHKERRQ(ierr);
151c4762a1bSJed Brown   ierr = PetscFree(vals);CHKERRQ(ierr);
152c4762a1bSJed Brown   ierr = MatDestroy(&A);CHKERRQ(ierr);
153c4762a1bSJed Brown   ierr = MatDestroy(&B);CHKERRQ(ierr);
154c4762a1bSJed Brown   ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);
155c4762a1bSJed Brown   ierr = PetscFinalize();
156c4762a1bSJed Brown   return ierr;
157c4762a1bSJed Brown }
158c4762a1bSJed Brown 
159c4762a1bSJed Brown /*TEST
160c4762a1bSJed Brown 
161c4762a1bSJed Brown    test:
162c4762a1bSJed Brown       args: -mat_block_size {{1 2  5 7 8}} -ov {{1 3}} -mat_size {{11 13}} -nd {{7}}
163c4762a1bSJed Brown 
164c4762a1bSJed Brown TEST*/
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