1 static char help[] = "Tests MatIncreaseOverlap(), MatCreateSubMatrices() for parallel MatSBAIJ format.\n"; 2 /* Example of usage: 3 mpiexec -n 2 ./ex92 -nd 2 -ov 3 -mat_block_size 2 -view_id 0 -test_overlap -test_submat 4 */ 5 #include <petscmat.h> 6 7 int main(int argc, char **args) 8 { 9 Mat A, Atrans, sA, *submatA, *submatsA; 10 PetscMPIInt size, rank; 11 PetscInt bs = 1, mbs = 10, ov = 1, i, j, k, *rows, *cols, nd = 2, *idx, rstart, rend, sz, M, N, Mbs; 12 PetscScalar *vals, rval, one = 1.0; 13 IS *is1, *is2; 14 PetscRandom rand; 15 PetscBool flg, TestOverlap, TestSubMat, TestAllcols, test_sorted = PETSC_FALSE; 16 PetscInt vid = -1; 17 PetscLogStage stages[2]; 18 19 PetscFunctionBeginUser; 20 PetscCall(PetscInitialize(&argc, &args, NULL, help)); 21 PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size)); 22 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank)); 23 24 PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_block_size", &bs, NULL)); 25 PetscCall(PetscOptionsGetInt(NULL, NULL, "-mat_mbs", &mbs, NULL)); 26 PetscCall(PetscOptionsGetInt(NULL, NULL, "-ov", &ov, NULL)); 27 PetscCall(PetscOptionsGetInt(NULL, NULL, "-nd", &nd, NULL)); 28 PetscCall(PetscOptionsGetInt(NULL, NULL, "-view_id", &vid, NULL)); 29 PetscCall(PetscOptionsHasName(NULL, NULL, "-test_overlap", &TestOverlap)); 30 PetscCall(PetscOptionsHasName(NULL, NULL, "-test_submat", &TestSubMat)); 31 PetscCall(PetscOptionsHasName(NULL, NULL, "-test_allcols", &TestAllcols)); 32 PetscCall(PetscOptionsGetBool(NULL, NULL, "-test_sorted", &test_sorted, NULL)); 33 34 PetscCall(MatCreate(PETSC_COMM_WORLD, &A)); 35 PetscCall(MatSetSizes(A, mbs * bs, mbs * bs, PETSC_DECIDE, PETSC_DECIDE)); 36 PetscCall(MatSetType(A, MATBAIJ)); 37 PetscCall(MatSeqBAIJSetPreallocation(A, bs, PETSC_DEFAULT, NULL)); 38 PetscCall(MatMPIBAIJSetPreallocation(A, bs, PETSC_DEFAULT, NULL, PETSC_DEFAULT, NULL)); 39 40 PetscCall(PetscRandomCreate(PETSC_COMM_WORLD, &rand)); 41 PetscCall(PetscRandomSetFromOptions(rand)); 42 43 PetscCall(MatGetOwnershipRange(A, &rstart, &rend)); 44 PetscCall(MatGetSize(A, &M, &N)); 45 Mbs = M / bs; 46 47 PetscCall(PetscMalloc1(bs, &rows)); 48 PetscCall(PetscMalloc1(bs, &cols)); 49 PetscCall(PetscMalloc1(bs * bs, &vals)); 50 PetscCall(PetscMalloc1(M, &idx)); 51 52 /* Now set blocks of values */ 53 for (j = 0; j < bs * bs; j++) vals[j] = 0.0; 54 for (i = 0; i < Mbs; i++) { 55 cols[0] = i * bs; 56 rows[0] = i * bs; 57 for (j = 1; j < bs; j++) { 58 rows[j] = rows[j - 1] + 1; 59 cols[j] = cols[j - 1] + 1; 60 } 61 PetscCall(MatSetValues(A, bs, rows, bs, cols, vals, ADD_VALUES)); 62 } 63 /* second, add random blocks */ 64 for (i = 0; i < 20 * bs; i++) { 65 PetscCall(PetscRandomGetValue(rand, &rval)); 66 cols[0] = bs * (PetscInt)(PetscRealPart(rval) * Mbs); 67 PetscCall(PetscRandomGetValue(rand, &rval)); 68 rows[0] = rstart + bs * (PetscInt)(PetscRealPart(rval) * mbs); 69 for (j = 1; j < bs; j++) { 70 rows[j] = rows[j - 1] + 1; 71 cols[j] = cols[j - 1] + 1; 72 } 73 74 for (j = 0; j < bs * bs; j++) { 75 PetscCall(PetscRandomGetValue(rand, &rval)); 76 vals[j] = rval; 77 } 78 PetscCall(MatSetValues(A, bs, rows, bs, cols, vals, ADD_VALUES)); 79 } 80 81 PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY)); 82 PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY)); 83 84 /* make A a symmetric matrix: A <- A^T + A */ 85 PetscCall(MatTranspose(A, MAT_INITIAL_MATRIX, &Atrans)); 86 PetscCall(MatAXPY(A, one, Atrans, DIFFERENT_NONZERO_PATTERN)); 87 PetscCall(MatDestroy(&Atrans)); 88 PetscCall(MatTranspose(A, MAT_INITIAL_MATRIX, &Atrans)); 89 PetscCall(MatEqual(A, Atrans, &flg)); 90 if (flg) { 91 PetscCall(MatSetOption(A, MAT_SYMMETRIC, PETSC_TRUE)); 92 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "A+A^T is non-symmetric"); 93 PetscCall(MatDestroy(&Atrans)); 94 95 /* create a SeqSBAIJ matrix sA (= A) */ 96 PetscCall(MatConvert(A, MATSBAIJ, MAT_INITIAL_MATRIX, &sA)); 97 if (vid >= 0 && vid < size) { 98 PetscCall(PetscViewerASCIIPrintf(PETSC_VIEWER_STDOUT_WORLD, "A:\n")); 99 PetscCall(MatView(A, PETSC_VIEWER_STDOUT_WORLD)); 100 PetscCall(PetscViewerASCIIPrintf(PETSC_VIEWER_STDOUT_WORLD, "sA:\n")); 101 PetscCall(MatView(sA, PETSC_VIEWER_STDOUT_WORLD)); 102 } 103 104 /* Test sA==A through MatMult() */ 105 PetscCall(MatMultEqual(A, sA, 10, &flg)); 106 PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Error in MatConvert(): A != sA"); 107 108 /* Test MatIncreaseOverlap() */ 109 PetscCall(PetscMalloc1(nd, &is1)); 110 PetscCall(PetscMalloc1(nd, &is2)); 111 112 for (i = 0; i < nd; i++) { 113 if (!TestAllcols) { 114 PetscCall(PetscRandomGetValue(rand, &rval)); 115 sz = (PetscInt)((0.5 + 0.2 * PetscRealPart(rval)) * mbs); /* 0.5*mbs < sz < 0.7*mbs */ 116 117 for (j = 0; j < sz; j++) { 118 PetscCall(PetscRandomGetValue(rand, &rval)); 119 idx[j * bs] = bs * (PetscInt)(PetscRealPart(rval) * Mbs); 120 for (k = 1; k < bs; k++) idx[j * bs + k] = idx[j * bs] + k; 121 } 122 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, sz * bs, idx, PETSC_COPY_VALUES, is1 + i)); 123 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, sz * bs, idx, PETSC_COPY_VALUES, is2 + i)); 124 if (rank == vid) { 125 PetscCall(PetscPrintf(PETSC_COMM_SELF, " [%d] IS sz[%" PetscInt_FMT "]: %" PetscInt_FMT "\n", rank, i, sz)); 126 PetscCall(ISView(is2[i], PETSC_VIEWER_STDOUT_SELF)); 127 } 128 } else { /* Test all rows and columns */ 129 sz = M; 130 PetscCall(ISCreateStride(PETSC_COMM_SELF, sz, 0, 1, is1 + i)); 131 PetscCall(ISCreateStride(PETSC_COMM_SELF, sz, 0, 1, is2 + i)); 132 133 if (rank == vid) { 134 PetscBool colflag; 135 PetscCall(ISIdentity(is2[i], &colflag)); 136 PetscCall(PetscPrintf(PETSC_COMM_SELF, "[%d] is2[%" PetscInt_FMT "], colflag %d\n", rank, i, colflag)); 137 PetscCall(ISView(is2[i], PETSC_VIEWER_STDOUT_SELF)); 138 } 139 } 140 } 141 142 PetscCall(PetscLogStageRegister("MatOv_SBAIJ", &stages[0])); 143 PetscCall(PetscLogStageRegister("MatOv_BAIJ", &stages[1])); 144 145 /* Test MatIncreaseOverlap */ 146 if (TestOverlap) { 147 PetscCall(PetscLogStagePush(stages[0])); 148 PetscCall(MatIncreaseOverlap(sA, nd, is2, ov)); 149 PetscCall(PetscLogStagePop()); 150 151 PetscCall(PetscLogStagePush(stages[1])); 152 PetscCall(MatIncreaseOverlap(A, nd, is1, ov)); 153 PetscCall(PetscLogStagePop()); 154 155 if (rank == vid) { 156 PetscCall(PetscPrintf(PETSC_COMM_SELF, "\n[%d] IS from BAIJ:\n", rank)); 157 PetscCall(ISView(is1[0], PETSC_VIEWER_STDOUT_SELF)); 158 PetscCall(PetscPrintf(PETSC_COMM_SELF, "\n[%d] IS from SBAIJ:\n", rank)); 159 PetscCall(ISView(is2[0], PETSC_VIEWER_STDOUT_SELF)); 160 } 161 162 for (i = 0; i < nd; ++i) { 163 PetscCall(ISEqual(is1[i], is2[i], &flg)); 164 if (!flg) { 165 if (rank == 0) { 166 PetscCall(ISSort(is1[i])); 167 PetscCall(ISSort(is2[i])); 168 } 169 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_PLIB, "i=%" PetscInt_FMT ", is1 != is2", i); 170 } 171 } 172 } 173 174 /* Test MatCreateSubmatrices */ 175 if (TestSubMat) { 176 if (test_sorted) { 177 for (i = 0; i < nd; ++i) PetscCall(ISSort(is1[i])); 178 } 179 PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_INITIAL_MATRIX, &submatA)); 180 PetscCall(MatCreateSubMatrices(sA, nd, is1, is1, MAT_INITIAL_MATRIX, &submatsA)); 181 182 PetscCall(MatMultEqual(A, sA, 10, &flg)); 183 PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "A != sA"); 184 185 /* Now test MatCreateSubmatrices with MAT_REUSE_MATRIX option */ 186 PetscCall(MatCreateSubMatrices(A, nd, is1, is1, MAT_REUSE_MATRIX, &submatA)); 187 PetscCall(MatCreateSubMatrices(sA, nd, is1, is1, MAT_REUSE_MATRIX, &submatsA)); 188 PetscCall(MatMultEqual(A, sA, 10, &flg)); 189 PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "MatCreateSubmatrices(): A != sA"); 190 191 PetscCall(MatDestroySubMatrices(nd, &submatA)); 192 PetscCall(MatDestroySubMatrices(nd, &submatsA)); 193 } 194 195 /* Free allocated memory */ 196 for (i = 0; i < nd; ++i) { 197 PetscCall(ISDestroy(&is1[i])); 198 PetscCall(ISDestroy(&is2[i])); 199 } 200 PetscCall(PetscFree(is1)); 201 PetscCall(PetscFree(is2)); 202 PetscCall(PetscFree(idx)); 203 PetscCall(PetscFree(rows)); 204 PetscCall(PetscFree(cols)); 205 PetscCall(PetscFree(vals)); 206 PetscCall(MatDestroy(&A)); 207 PetscCall(MatDestroy(&sA)); 208 PetscCall(PetscRandomDestroy(&rand)); 209 PetscCall(PetscFinalize()); 210 return 0; 211 } 212 213 /*TEST 214 215 test: 216 args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_submat 217 output_file: output/ex92_1.out 218 219 test: 220 suffix: 2 221 nsize: {{3 4}} 222 args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_submat 223 output_file: output/ex92_1.out 224 225 test: 226 suffix: 3 227 nsize: {{3 4}} 228 args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_allcols 229 output_file: output/ex92_1.out 230 231 test: 232 suffix: 3_sorted 233 nsize: {{3 4}} 234 args: -ov {{1 3}} -mat_block_size {{2 8}} -test_overlap -test_allcols -test_sorted 235 output_file: output/ex92_1.out 236 237 test: 238 suffix: 4 239 nsize: {{3 4}} 240 args: -ov {{1 3}} -mat_block_size {{2 8}} -test_submat -test_allcols 241 output_file: output/ex92_1.out 242 243 TEST*/ 244