xref: /petsc/src/mat/tests/ex132.c (revision ebead697dbf761eb322f829370bbe90b3bd93fa3)
1 
2 static char help[] = "Test MatAXPY()\n\n";
3 
4 #include <petscmat.h>
5 
6 int main(int argc,char **args)
7 {
8   Mat            C,C1,C2,CU;
9   PetscScalar    v;
10   PetscInt       Ii,J,Istart,Iend;
11   PetscInt       i,j,m = 3,n;
12   PetscMPIInt    size;
13   PetscBool      mat_nonsymmetric = PETSC_FALSE,flg;
14   MatInfo        info;
15 
16   PetscFunctionBeginUser;
17   PetscCall(PetscInitialize(&argc,&args,(char*)0,help));
18   PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL));
19   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
20   n    = 2*size;
21 
22   /* Set flag if we are doing a nonsymmetric problem; the default is symmetric. */
23   PetscCall(PetscOptionsGetBool(NULL,NULL,"-mat_nonsym",&mat_nonsymmetric,NULL));
24 
25   PetscCall(MatCreate(PETSC_COMM_WORLD,&C));
26   PetscCall(MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,m*n,m*n));
27   PetscCall(MatSetFromOptions(C));
28   PetscCall(MatSeqAIJSetPreallocation(C,5,NULL));
29   PetscCall(MatMPIAIJSetPreallocation(C,5,NULL,5,NULL));
30 
31   PetscCall(MatGetOwnershipRange(C,&Istart,&Iend));
32   for (Ii=Istart; Ii<Iend; Ii++) {
33     v = -1.0; i = Ii/n; j = Ii - i*n;
34     if (i>0)   {J = Ii - n; PetscCall(MatSetValues(C,1,&Ii,1,&J,&v,ADD_VALUES));}
35     if (i<m-1) {J = Ii + n; PetscCall(MatSetValues(C,1,&Ii,1,&J,&v,ADD_VALUES));}
36     if (j>0)   {J = Ii - 1; PetscCall(MatSetValues(C,1,&Ii,1,&J,&v,ADD_VALUES));}
37     if (j<n-1) {J = Ii + 1; PetscCall(MatSetValues(C,1,&Ii,1,&J,&v,ADD_VALUES));}
38     v = 4.0; PetscCall(MatSetValues(C,1,&Ii,1,&Ii,&v,ADD_VALUES));
39   }
40 
41   /* Make the matrix nonsymmetric if desired */
42   if (mat_nonsymmetric) {
43     for (Ii=Istart; Ii<Iend; Ii++) {
44       v = -1.5; i = Ii/n;
45       if (i>1) {J = Ii-n-1; PetscCall(MatSetValues(C,1,&Ii,1,&J,&v,ADD_VALUES));}
46     }
47   } else {
48     PetscCall(MatSetOption(C,MAT_SYMMETRIC,PETSC_TRUE));
49     PetscCall(MatSetOption(C,MAT_SYMMETRY_ETERNAL,PETSC_TRUE));
50   }
51   PetscCall(MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY));
52   PetscCall(MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY));
53   PetscCall(PetscObjectSetName((PetscObject)C,"C"));
54   PetscCall(MatViewFromOptions(C,NULL,"-view"));
55 
56   /* C1 = 2.0*C1 + C, C1 is anti-diagonal and has different non-zeros than C */
57   PetscCall(MatCreate(PETSC_COMM_WORLD,&C1));
58   PetscCall(MatSetSizes(C1,PETSC_DECIDE,PETSC_DECIDE,m*n,m*n));
59   PetscCall(MatSetFromOptions(C1));
60   PetscCall(MatSeqAIJSetPreallocation(C1,1,NULL));
61   PetscCall(MatMPIAIJSetPreallocation(C1,1,NULL,1,NULL));
62   for (Ii=Istart; Ii<Iend; Ii++) {
63     v = 1.0;
64     i = m*n - Ii -1;
65     j = Ii;
66     PetscCall(MatSetValues(C1,1,&i,1,&j,&v,ADD_VALUES));
67   }
68   PetscCall(MatAssemblyBegin(C1,MAT_FINAL_ASSEMBLY));
69   PetscCall(MatAssemblyEnd(C1,MAT_FINAL_ASSEMBLY));
70   PetscCall(PetscObjectSetName((PetscObject)C1,"C1"));
71   PetscCall(MatViewFromOptions(C1,NULL,"-view"));
72   PetscCall(MatDuplicate(C1,MAT_COPY_VALUES,&CU));
73 
74   PetscCall(PetscPrintf(PETSC_COMM_WORLD," MatAXPY(C1,2.0,C,DIFFERENT_NONZERO_PATTERN)...\n"));
75   PetscCall(MatAXPY(C1,2.0,C,DIFFERENT_NONZERO_PATTERN));
76   PetscCall(MatAXPY(CU,2.0,C,UNKNOWN_NONZERO_PATTERN));
77   PetscCall(MatGetInfo(C1,MAT_GLOBAL_SUM,&info));
78   PetscCall(PetscPrintf(PETSC_COMM_WORLD," C1: nz_allocated = %g; nz_used = %g; nz_unneeded = %g\n",info.nz_allocated,info.nz_used, info.nz_unneeded));
79   PetscCall(MatViewFromOptions(C1,NULL,"-view"));
80   PetscCall(MatMultEqual(CU,C1,10,&flg));
81   if (!flg) {
82     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Error UNKNOWN_NONZERO_PATTERN (supposedly DIFFERENT_NONZERO_PATTERN)\n"));
83     PetscCall(MatViewFromOptions(CU,NULL,"-view"));
84   }
85   PetscCall(MatDestroy(&CU));
86 
87   /* Secondly, compute C1 = 2.0*C2 + C1, C2 has non-zero pattern of C */
88   PetscCall(MatDuplicate(C,MAT_DO_NOT_COPY_VALUES,&C2));
89   PetscCall(MatDuplicate(C1,MAT_COPY_VALUES,&CU));
90 
91   for (Ii=Istart; Ii<Iend; Ii++) {
92     v    = 1.0;
93     PetscCall(MatSetValues(C2,1,&Ii,1,&Ii,&v,ADD_VALUES));
94   }
95   PetscCall(MatAssemblyBegin(C2,MAT_FINAL_ASSEMBLY));
96   PetscCall(MatAssemblyEnd(C2,MAT_FINAL_ASSEMBLY));
97   PetscCall(PetscObjectSetName((PetscObject)C2,"C2"));
98   PetscCall(MatViewFromOptions(C2,NULL,"-view"));
99   PetscCall(PetscPrintf(PETSC_COMM_WORLD," MatAXPY(C1,2.0,C2,SUBSET_NONZERO_PATTERN)...\n"));
100   PetscCall(MatAXPY(C1,2.0,C2,SUBSET_NONZERO_PATTERN));
101   PetscCall(MatAXPY(CU,2.0,C2,UNKNOWN_NONZERO_PATTERN));
102   PetscCall(MatGetInfo(C1,MAT_GLOBAL_SUM,&info));
103   PetscCall(PetscPrintf(PETSC_COMM_WORLD," C1: nz_allocated = %g; nz_used = %g; nz_unneeded = %g\n",info.nz_allocated,info.nz_used, info.nz_unneeded));
104   PetscCall(MatViewFromOptions(C1,NULL,"-view"));
105   PetscCall(MatMultEqual(CU,C1,10,&flg));
106   if (!flg) {
107     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Error UNKNOWN_NONZERO_PATTERN (supposedly SUBSET_NONZERO_PATTERN)\n"));
108     PetscCall(MatViewFromOptions(CU,NULL,"-view"));
109   }
110   PetscCall(MatDestroy(&CU));
111 
112   /* Test SAME_NONZERO_PATTERN computing C2 = C2 + 2.0 * C */
113   PetscCall(MatDuplicate(C2,MAT_COPY_VALUES,&CU));
114   PetscCall(PetscPrintf(PETSC_COMM_WORLD," MatAXPY(C2,2.0,C,SAME_NONZERO_PATTERN)...\n"));
115   PetscCall(MatAXPY(C2,2.0,C,SAME_NONZERO_PATTERN));
116   PetscCall(MatAXPY(CU,2.0,C,UNKNOWN_NONZERO_PATTERN));
117   PetscCall(MatGetInfo(C2,MAT_GLOBAL_SUM,&info));
118   PetscCall(PetscPrintf(PETSC_COMM_WORLD," C2: nz_allocated = %g; nz_used = %g; nz_unneeded = %g\n",info.nz_allocated,info.nz_used, info.nz_unneeded));
119   PetscCall(MatViewFromOptions(C2,NULL,"-view"));
120   PetscCall(MatMultEqual(CU,C2,10,&flg));
121   if (!flg) {
122     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Error UNKNOWN_NONZERO_PATTERN (supposedly SUBSET_NONZERO_PATTERN)\n"));
123     PetscCall(MatViewFromOptions(CU,NULL,"-view"));
124   }
125   PetscCall(MatDestroy(&CU));
126 
127   PetscCall(MatDestroy(&C1));
128   PetscCall(MatDestroy(&C2));
129   PetscCall(MatDestroy(&C));
130 
131   PetscCall(PetscFinalize());
132   return 0;
133 }
134 
135 /*TEST
136 
137    test:
138      suffix: 1
139      filter: grep -v " type:" | grep -v "Mat Object"
140      args: -view
141      diff_args: -j
142 
143    test:
144      output_file: output/ex132_1.out
145      requires: cuda
146      suffix: 1_cuda
147      filter: grep -v " type:" | grep -v "Mat Object"
148      args: -view -mat_type aijcusparse
149      diff_args: -j
150 
151    test:
152      output_file: output/ex132_1.out
153      requires: kokkos_kernels
154      suffix: 1_kokkos
155      filter: grep -v " type:" | grep -v "Mat Object"
156      args: -view -mat_type aijkokkos
157      diff_args: -j
158 
159    test:
160      suffix: 2
161      filter: grep -v " type:" | grep -v "Mat Object"
162      args: -view -mat_nonsym
163      diff_args: -j
164 
165    test:
166      output_file: output/ex132_2.out
167      requires: cuda
168      suffix: 2_cuda
169      filter: grep -v " type:" | grep -v "Mat Object"
170      args: -view -mat_type aijcusparse -mat_nonsym
171      diff_args: -j
172 
173    test:
174      output_file: output/ex132_2.out
175      requires: kokkos_kernels
176      suffix: 2_kokkos
177      filter: grep -v " type:" | grep -v "Mat Object"
178      args: -view -mat_type aijkokkos -mat_nonsym
179      diff_args: -j
180 
181    test:
182      nsize: 2
183      suffix: 1_par
184      filter: grep -v " type:" | grep -v "Mat Object"
185      args: -view
186      diff_args: -j
187 
188    test:
189      nsize: 2
190      output_file: output/ex132_1_par.out
191      requires: cuda
192      suffix: 1_par_cuda
193      filter: grep -v " type:" | grep -v "Mat Object"
194      args: -view -mat_type aijcusparse
195      diff_args: -j
196 
197    test:
198      nsize: 2
199      output_file: output/ex132_1_par.out
200      requires: !sycl kokkos_kernels
201      suffix: 1_par_kokkos
202      filter: grep -v " type:" | grep -v "Mat Object"
203      args: -view -mat_type aijkokkos
204      diff_args: -j
205 
206    test:
207      nsize: 2
208      suffix: 2_par
209      filter: grep -v " type:" | grep -v "Mat Object"
210      args: -view -mat_nonsym
211      diff_args: -j
212 
213    test:
214      nsize: 2
215      output_file: output/ex132_2_par.out
216      requires: cuda
217      suffix: 2_par_cuda
218      filter: grep -v " type:" | grep -v "Mat Object"
219      args: -view -mat_type aijcusparse -mat_nonsym
220      diff_args: -j
221 
222    testset:
223      nsize: 2
224      output_file: output/ex132_2_par.out
225      requires: !sycl kokkos_kernels
226      filter: grep -v " type:" | grep -v "Mat Object"
227      args: -view -mat_type aijkokkos -mat_nonsym
228      diff_args: -j
229      test:
230        suffix: 2_par_kokkos_no_gpu_aware
231        args: -use_gpu_aware_mpi 0
232      test:
233        requires: defined(HAVE_MPI_GPU_AWARE)
234        suffix: 2_par_kokkos_gpu_aware
235        args: -use_gpu_aware_mpi 1
236 
237 TEST*/
238