1 static char help[] = "Test MatAXPY \n\n"; 2 3 #include <petscmat.h> 4 int main(int argc,char **args) 5 { 6 Mat A = NULL,B=NULL; 7 PetscInt k; 8 const PetscInt M = 18,N = 18; 9 PetscMPIInt rank; 10 11 /* A, B are 18 x 18 nonsymmetric matrices. Initially, B's nonzero pattern is a subset of A. 12 Big enough to have complex communication patterns but still small enough for debugging. 13 */ 14 PetscInt Ai[] = {0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 11, 11, 12, 12, 13, 13, 13, 14, 14, 15, 15, 16, 16, 17, 17}; 15 PetscInt Aj[] = {0, 1, 2, 7, 3, 8, 4, 9, 5, 8, 2, 6, 11, 0, 7, 1, 6, 2, 4, 10, 16, 11, 15, 12, 17, 12, 13, 14, 15, 17, 11, 13, 3, 16, 9, 15, 11, 13}; 16 PetscInt Bi[] = {0, 0, 1, 1, 2, 2, 4, 4, 5, 5, 5, 6, 7, 7, 8, 8, 9, 9, 10, 10, 12, 12, 13, 13, 14, 14, 15, 15, 16, 16, 17, 17}; 17 PetscInt Bj[] = {0, 1, 2, 7, 3, 8, 5, 8, 2, 6, 11, 0, 1, 6, 2, 4, 10, 16, 11, 15, 12, 13, 14, 17, 11, 13, 3, 16, 9, 15, 11, 13}; 18 19 PetscInt Annz = PETSC_STATIC_ARRAY_LENGTH(Ai); 20 PetscInt Bnnz = PETSC_STATIC_ARRAY_LENGTH(Bi); 21 22 PetscFunctionBeginUser; 23 PetscCall(PetscInitialize(&argc,&args,(char*)0,help)); 24 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD,&rank)); 25 26 PetscCall(MatCreate(PETSC_COMM_WORLD,&A)); 27 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,M,N)); 28 PetscCall(MatSetFromOptions(A)); 29 PetscCall(MatSeqAIJSetPreallocation(A,2,NULL)); 30 PetscCall(MatMPIAIJSetPreallocation(A,2,NULL,2,NULL)); 31 PetscCall(MatSetOption(A,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE)); 32 33 if (rank == 0) { 34 for (k=0; k<Annz; k++) PetscCall(MatSetValue(A,Ai[k],Aj[k],Ai[k]+Aj[k]+1.0,INSERT_VALUES)); 35 } 36 37 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY)); 38 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY)); 39 40 PetscCall(MatCreate(PETSC_COMM_WORLD,&B)); 41 MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,M,N); 42 PetscCall(MatSetFromOptions(B)); 43 PetscCall(MatSeqAIJSetPreallocation(B,2,NULL)); 44 PetscCall(MatMPIAIJSetPreallocation(B,2,NULL,2,NULL)); 45 PetscCall(MatSetOption(B,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_FALSE)); 46 47 if (rank == 0) { 48 for (k=0; k<Bnnz; k++) PetscCall(MatSetValue(B,Bi[k],Bj[k],Bi[k]+Bj[k]+2.0,INSERT_VALUES)); 49 } 50 PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY)); 51 PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY)); 52 53 PetscCall(MatAXPY(A,1.0,B,SUBSET_NONZERO_PATTERN)); /* A += B */ 54 PetscCall(MatView(A,PETSC_VIEWER_STDOUT_WORLD)); 55 56 /* Blow up B so it will have the same nonzero pattern as A */ 57 PetscCall(MatAXPY(B,5,A,DIFFERENT_NONZERO_PATTERN)); /* B += 5A */ 58 PetscCall(MatView(B,PETSC_VIEWER_STDOUT_WORLD)); 59 60 PetscCall(MatAXPY(A,3,B,SAME_NONZERO_PATTERN)); /* A += 7B */ 61 PetscCall(MatView(A,PETSC_VIEWER_STDOUT_WORLD)); 62 63 PetscCall(MatDestroy(&A)); 64 PetscCall(MatDestroy(&B)); 65 66 PetscCall(PetscFinalize()); 67 return 0; 68 } 69 70 /*TEST 71 testset: 72 nsize: {{1 2}} 73 filter: grep -ve type -ve "Mat Object" 74 output_file: output/ex251_1.out 75 76 test: 77 suffix: 1 78 args: -mat_type aij 79 80 test: 81 suffix: cuda 82 requires: cuda 83 args: -mat_type aijcusparse 84 85 test: 86 suffix: kok 87 requires: kokkos_kernels 88 args: -mat_type aijkokkos 89 90 TEST*/ 91