xref: /petsc/src/mat/tests/ex89.c (revision c4762a1b19cd2af06abeed90e8f9d34fb975dd94)
1 static char help[] ="Tests MatPtAP() for MPIMAIJ and MPIAIJ \n ";
2 
3 #include <petscdmda.h>
4 
5 int main(int argc,char **argv)
6 {
7   PetscErrorCode ierr;
8   DM             coarsedm,finedm;
9   PetscMPIInt    size,rank;
10   PetscInt       M,N,Z,i,nrows;
11   PetscScalar    one = 1.0;
12   PetscReal      fill=2.0;
13   Mat            A,P,C;
14   PetscScalar    *array,none = -1.0,alpha;
15   Vec            x,v1,v2,v3,v4;
16   PetscReal      norm,norm_tmp,norm_tmp1,tol=100.*PETSC_MACHINE_EPSILON;
17   PetscRandom    rdm;
18   PetscBool      Test_3D=PETSC_FALSE,flg;
19   const PetscInt *ia,*ja;
20   PetscInt       dof;
21   MPI_Comm       comm;
22 
23   ierr = PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
24   comm = PETSC_COMM_WORLD;
25   ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr);
26   ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr);
27   M = 10; N = 10; Z = 10;
28   dof  = 10;
29 
30   ierr = PetscOptionsGetBool(NULL,NULL,"-test_3D",&Test_3D,NULL);CHKERRQ(ierr);
31   ierr = PetscOptionsGetInt(NULL,NULL,"-M",&M,NULL);CHKERRQ(ierr);
32   ierr = PetscOptionsGetInt(NULL,NULL,"-N",&N,NULL);CHKERRQ(ierr);
33   ierr = PetscOptionsGetInt(NULL,NULL,"-Z",&Z,NULL);CHKERRQ(ierr);
34   /* Set up distributed array for fine grid */
35   if (!Test_3D) {
36     ierr = DMDACreate2d(comm,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,M,N,PETSC_DECIDE,PETSC_DECIDE,dof,1,NULL,NULL,&coarsedm);CHKERRQ(ierr);
37   } else {
38     ierr = DMDACreate3d(comm,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,M,N,Z,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,dof,1,NULL,NULL,NULL,&coarsedm);CHKERRQ(ierr);
39   }
40   ierr = DMSetFromOptions(coarsedm);CHKERRQ(ierr);
41   ierr = DMSetUp(coarsedm);CHKERRQ(ierr);
42 
43   /* This makes sure the coarse DMDA has the same partition as the fine DMDA */
44   ierr = DMRefine(coarsedm,PetscObjectComm((PetscObject)coarsedm),&finedm);CHKERRQ(ierr);
45 
46   /*------------------------------------------------------------*/
47   ierr = DMSetMatType(finedm,MATAIJ);CHKERRQ(ierr);
48   ierr = DMCreateMatrix(finedm,&A);CHKERRQ(ierr);
49 
50   /* set val=one to A */
51   if (size == 1) {
52     ierr = MatGetRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
53     if (flg) {
54       ierr = MatSeqAIJGetArray(A,&array);CHKERRQ(ierr);
55       for (i=0; i<ia[nrows]; i++) array[i] = one;
56       ierr = MatSeqAIJRestoreArray(A,&array);CHKERRQ(ierr);
57     }
58     ierr = MatRestoreRowIJ(A,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
59   } else {
60     Mat AA,AB;
61     ierr = MatMPIAIJGetSeqAIJ(A,&AA,&AB,NULL);CHKERRQ(ierr);
62     ierr = MatGetRowIJ(AA,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
63     if (flg) {
64       ierr = MatSeqAIJGetArray(AA,&array);CHKERRQ(ierr);
65       for (i=0; i<ia[nrows]; i++) array[i] = one;
66       ierr = MatSeqAIJRestoreArray(AA,&array);CHKERRQ(ierr);
67     }
68     ierr = MatRestoreRowIJ(AA,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
69     ierr = MatGetRowIJ(AB,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
70     if (flg) {
71       ierr = MatSeqAIJGetArray(AB,&array);CHKERRQ(ierr);
72       for (i=0; i<ia[nrows]; i++) array[i] = one;
73       ierr = MatSeqAIJRestoreArray(AB,&array);CHKERRQ(ierr);
74     }
75     ierr = MatRestoreRowIJ(AB,0,PETSC_FALSE,PETSC_FALSE,&nrows,&ia,&ja,&flg);CHKERRQ(ierr);
76   }
77   /* Create interpolation between the fine and coarse grids */
78   ierr = DMCreateInterpolation(coarsedm,finedm,&P,NULL);CHKERRQ(ierr);
79   /* Create vectors v1 and v2 that are compatible with A */
80   ierr = MatCreateVecs(A,&v1,NULL);CHKERRQ(ierr);
81   ierr = VecDuplicate(v1,&v2);CHKERRQ(ierr);
82   ierr = PetscRandomCreate(comm,&rdm);CHKERRQ(ierr);
83   ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
84 
85   /* Test P^T * A * P - MatPtAP() */
86   /*------------------------------*/
87   ierr = MatPtAP(A,P,MAT_INITIAL_MATRIX,fill,&C);CHKERRQ(ierr);
88   /* Test MAT_REUSE_MATRIX - reuse symbolic C */
89   alpha=1.0;
90   for (i=0; i<1; i++) {
91     alpha -= 0.1;
92     ierr   = MatScale(A,alpha);CHKERRQ(ierr);
93     ierr   = MatPtAP(A,P,MAT_REUSE_MATRIX,fill,&C);CHKERRQ(ierr);
94   }
95 
96   /* Free intermediate data structures created for reuse of C=Pt*A*P */
97   ierr = MatFreeIntermediateDataStructures(C);CHKERRQ(ierr);
98 
99   /* Create vector x that is compatible with P */
100   ierr = MatCreateVecs(P,&x,NULL);CHKERRQ(ierr);
101   ierr = VecDuplicate(x,&v3);CHKERRQ(ierr);
102   ierr = VecDuplicate(x,&v4);CHKERRQ(ierr);
103 
104   norm = 0.0;
105   for (i=0; i<10; i++) {
106     ierr = VecSetRandom(x,rdm);CHKERRQ(ierr);
107     ierr = MatMult(P,x,v1);CHKERRQ(ierr);
108     ierr = MatMult(A,v1,v2);CHKERRQ(ierr);  /* v2 = A*P*x */
109 
110     ierr = MatMultTranspose(P,v2,v3);CHKERRQ(ierr); /* v3 = Pt*A*P*x */
111     ierr = MatMult(C,x,v4);CHKERRQ(ierr);           /* v3 = C*x   */
112     ierr = VecAXPY(v4,none,v3);CHKERRQ(ierr);
113     ierr = VecNorm(v4,NORM_1,&norm_tmp);CHKERRQ(ierr);
114     ierr = VecNorm(v3,NORM_1,&norm_tmp1);CHKERRQ(ierr);
115 
116     norm_tmp /= norm_tmp1;
117     if (norm_tmp > norm) norm = norm_tmp;
118   }
119   if (norm >= tol && !rank) {
120     ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatPtAP(), |v3 - v4|/|v3|: %g\n",(double)norm);CHKERRQ(ierr);
121   }
122 
123   ierr = MatDestroy(&C);CHKERRQ(ierr);
124   ierr = MatDestroy(&A);CHKERRQ(ierr);
125   ierr = MatDestroy(&P);CHKERRQ(ierr);
126   ierr = VecDestroy(&v3);CHKERRQ(ierr);
127   ierr = VecDestroy(&v4);CHKERRQ(ierr);
128   ierr = VecDestroy(&x);CHKERRQ(ierr);
129   ierr = VecDestroy(&v1);CHKERRQ(ierr);
130   ierr = VecDestroy(&v2);CHKERRQ(ierr);
131   ierr = DMDestroy(&finedm);CHKERRQ(ierr);
132   ierr = DMDestroy(&coarsedm);CHKERRQ(ierr);
133   ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);
134   ierr = PetscFinalize();
135   return ierr;
136 }
137 
138 /*TEST
139 
140    test:
141       args: -M 10 -N 10 -Z 10
142       output_file: output/ex89_1.out
143 
144    test:
145       suffix: allatonce
146       nsize: 4
147       args: -M 10 -N 10 -Z 10 -matmaijptap_via allatonce
148       output_file: output/ex89_1.out
149 
150    test:
151       suffix: allatonce_merged
152       nsize: 4
153       args: -M 10 -M 5 -M 10 -matmaijptap_via allatonce_merged
154       output_file: output/ex96_1.out
155 
156    test:
157       suffix: allatonce_3D
158       nsize: 4
159       args: -M 10 -M 5 -M 10 -test_3D 1 -matmaijptap_via allatonce
160       output_file: output/ex96_1.out
161 
162    test:
163       suffix: allatonce_merged_3D
164       nsize: 4
165       args: -M 10 -M 5 -M 10 -test_3D 1 -matmaijptap_via allatonce_merged
166       output_file: output/ex96_1.out
167 
168 TEST*/
169