1 2 static char help[] = "Tests MatGetRowMax(), MatGetRowMin(), MatGetRowMaxAbs()\n"; 3 4 #include <petscmat.h> 5 6 #define M 5 7 #define N 6 8 9 int main(int argc,char **args) 10 { 11 Mat A; 12 Vec min,max,maxabs; 13 PetscInt m,n; 14 PetscInt imin[M],imax[M],imaxabs[M],indices[N],row,testcase=0; 15 PetscScalar values[N]; 16 PetscErrorCode ierr; 17 MatType type; 18 PetscMPIInt size,rank; 19 PetscBool doTest=PETSC_TRUE; 20 PetscInt j,col,cols[N]; 21 22 ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr; 23 ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr); 24 ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr); 25 ierr = PetscOptionsGetInt(NULL,NULL,"-testcase",&testcase,NULL);CHKERRQ(ierr); 26 27 ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr); 28 if (testcase == 1) { /* proc[0] holds entire A and other processes have no entry */ 29 if (!rank) { 30 ierr = MatSetSizes(A,M,N,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr); 31 } else { 32 ierr = MatSetSizes(A,0,0,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr); 33 } 34 testcase = 0; 35 } else { 36 ierr = MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,M,N);CHKERRQ(ierr); 37 } 38 ierr = MatSetFromOptions(A);CHKERRQ(ierr); 39 ierr = MatSetUp(A);CHKERRQ(ierr); 40 41 if (!rank) { /* proc[0] sets matrix A */ 42 for (j=0; j<N; j++) indices[j] = j; 43 switch (testcase) { 44 case 1: /* see testcast 0 */ 45 break; 46 case 2: 47 row = 0; 48 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; values[3] = -4.0; values[4] = 0.0; values[5] = 1.0; 49 ierr = MatSetValues(A,1,&row,N,indices,values,INSERT_VALUES);CHKERRQ(ierr); 50 row = 2; 51 indices[0] = 0; indices[1] = 3; indices[2] = 5; 52 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; 53 ierr = MatSetValues(A,1,&row,3,indices,values,INSERT_VALUES);CHKERRQ(ierr); 54 row = 3; 55 indices[0] = 0; indices[1] = 1; indices[2] = 4; 56 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; 57 ierr = MatSetValues(A,1,&row,3,indices,values,INSERT_VALUES);CHKERRQ(ierr); 58 row = 4; 59 indices[0] = 0; indices[1] = 1; indices[2] = 2; 60 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; 61 ierr = MatSetValues(A,1,&row,3,indices,values,INSERT_VALUES);CHKERRQ(ierr); 62 break; 63 case 3: 64 row = 0; 65 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; 66 ierr = MatSetValues(A,1,&row,3,indices+1,values,INSERT_VALUES);CHKERRQ(ierr); 67 row = 1; 68 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; 69 ierr = MatSetValues(A,1,&row,3,indices,values,INSERT_VALUES);CHKERRQ(ierr); 70 row = 2; 71 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; 72 ierr = MatSetValues(A,1,&row,3,indices,values,INSERT_VALUES);CHKERRQ(ierr); 73 row = 3; 74 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; values[3] = -1.0; 75 ierr = MatSetValues(A,1,&row,4,indices,values,INSERT_VALUES);CHKERRQ(ierr); 76 row = 4; 77 values[0] = -2.0; values[1] = -2.0; values[2] = -2.0; values[3] = -1.0; 78 ierr = MatSetValues(A,1,&row,4,indices,values,INSERT_VALUES);CHKERRQ(ierr); 79 break; 80 81 default: 82 row = 0; 83 values[0] = -1.0; values[1] = 0.0; values[2] = 1.0; values[3] = 3.0; values[4] = 4.0; values[5] = -5.0; 84 ierr = MatSetValues(A,1,&row,N,indices,values,INSERT_VALUES);CHKERRQ(ierr); 85 row = 1; 86 ierr = MatSetValues(A,1,&row,3,indices,values,INSERT_VALUES);CHKERRQ(ierr); 87 row = 3; 88 ierr = MatSetValues(A,1,&row,1,indices+4,values+4,INSERT_VALUES);CHKERRQ(ierr); 89 row = 4; 90 ierr = MatSetValues(A,1,&row,2,indices+4,values+4,INSERT_VALUES);CHKERRQ(ierr); 91 } 92 } 93 ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 94 ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 95 ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 96 97 ierr = MatGetLocalSize(A, &m,&n);CHKERRQ(ierr); 98 ierr = VecCreate(PETSC_COMM_WORLD,&min);CHKERRQ(ierr); 99 ierr = VecSetSizes(min,m,PETSC_DECIDE);CHKERRQ(ierr); 100 ierr = VecSetFromOptions(min);CHKERRQ(ierr); 101 ierr = VecDuplicate(min,&max);CHKERRQ(ierr); 102 ierr = VecDuplicate(min,&maxabs);CHKERRQ(ierr); 103 104 ierr = PetscPrintf(PETSC_COMM_WORLD,"\n Row Maximums\n");CHKERRQ(ierr); 105 ierr = MatGetRowMax(A,max,NULL);CHKERRQ(ierr); 106 ierr = MatGetRowMax(A,max,imax);CHKERRQ(ierr); 107 ierr = VecView(max,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 108 ierr = VecGetLocalSize(max,&n);CHKERRQ(ierr); 109 ierr = PetscIntView(n,imax,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 110 exit(1); 111 112 /* Test MatGetRowMin, MatGetRowMax and MatGetRowMaxAbs */ 113 if (size == 1) { 114 ierr = MatGetRowMin(A,min,imin);CHKERRQ(ierr); 115 ierr = MatGetRowMax(A,max,imax);CHKERRQ(ierr); 116 ierr = MatGetRowMaxAbs(A,maxabs,imaxabs);CHKERRQ(ierr); 117 118 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Minimums\n");CHKERRQ(ierr); 119 ierr = VecView(min,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 120 ierr = PetscIntView(5,imin,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 121 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Maximums\n");CHKERRQ(ierr); 122 ierr = VecView(max,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 123 ierr = PetscIntView(5,imax,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 124 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Maximum Absolute Values\n");CHKERRQ(ierr); 125 ierr = VecView(maxabs,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 126 ierr = PetscIntView(5,imaxabs,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 127 128 } else { 129 ierr = MatGetType(A,&type);CHKERRQ(ierr); 130 ierr = PetscPrintf(PETSC_COMM_WORLD,"\nMatrix type: %s\n",type);CHKERRQ(ierr); 131 /* AIJ */ 132 ierr = PetscObjectTypeCompare((PetscObject)A,MATMPIAIJ,&doTest);CHKERRQ(ierr); 133 if (doTest) { 134 ierr = MatGetRowMaxAbs(A,maxabs,NULL);CHKERRQ(ierr); 135 ierr = MatGetRowMaxAbs(A,maxabs,imaxabs);CHKERRQ(ierr); 136 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Maximum Absolute Values:\n");CHKERRQ(ierr); 137 ierr = VecView(maxabs,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 138 } 139 /* BAIJ */ 140 ierr = PetscObjectTypeCompare((PetscObject)A,MATMPIBAIJ,&doTest);CHKERRQ(ierr); 141 if (doTest) { 142 ierr = MatGetRowMaxAbs(A,maxabs,NULL);CHKERRQ(ierr); 143 ierr = MatGetRowMaxAbs(A,maxabs,imaxabs);CHKERRQ(ierr); 144 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Maximum Absolute Values:\n");CHKERRQ(ierr); 145 ierr = VecView(maxabs,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 146 } 147 } 148 149 if (size == 1) { 150 ierr = MatConvert(A,MATDENSE,MAT_INPLACE_MATRIX,&A);CHKERRQ(ierr); 151 152 ierr = MatGetRowMin(A,min,imin);CHKERRQ(ierr); 153 ierr = MatGetRowMax(A,max,imax);CHKERRQ(ierr); 154 ierr = MatGetRowMaxAbs(A,maxabs,imaxabs);CHKERRQ(ierr); 155 156 ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 157 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Minimums\n");CHKERRQ(ierr); 158 ierr = VecView(min,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 159 ierr = PetscIntView(5,imin,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 160 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Maximums\n");CHKERRQ(ierr); 161 ierr = VecView(max,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 162 ierr = PetscIntView(5,imax,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 163 ierr = PetscPrintf(PETSC_COMM_WORLD,"Row Maximum Absolute Values\n");CHKERRQ(ierr); 164 ierr = VecView(maxabs,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 165 ierr = PetscIntView(5,imaxabs,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr); 166 } 167 168 ierr = VecDestroy(&min);CHKERRQ(ierr); 169 ierr = VecDestroy(&max);CHKERRQ(ierr); 170 ierr = VecDestroy(&maxabs);CHKERRQ(ierr); 171 ierr = MatDestroy(&A);CHKERRQ(ierr); 172 ierr = PetscFinalize(); 173 return ierr; 174 } 175 176 177 178 /*TEST 179 180 test: 181 output_file: output/ex114.out 182 183 test: 184 suffix: 2 185 nsize: 2 186 187 test: 188 suffix: 3 189 nsize: 2 190 args: -mat_type baij 191 192 TEST*/ 193