1 /* 2 Defines the basic matrix operations for the SBAIJ (compressed row) 3 matrix storage format. 4 */ 5 #include <../src/mat/impls/baij/seq/baij.h> /*I "petscmat.h" I*/ 6 #include <../src/mat/impls/sbaij/seq/sbaij.h> 7 #include <petscblaslapack.h> 8 9 #include <../src/mat/impls/sbaij/seq/relax.h> 10 #define USESHORT 11 #include <../src/mat/impls/sbaij/seq/relax.h> 12 13 /* defines MatSetValues_Seq_Hash(), MatAssemblyEnd_Seq_Hash(), MatSetUp_Seq_Hash() */ 14 #define TYPE SBAIJ 15 #define TYPE_SBAIJ 16 #define TYPE_BS 17 #include "../src/mat/impls/aij/seq/seqhashmatsetvalues.h" 18 #undef TYPE_BS 19 #define TYPE_BS _BS 20 #define TYPE_BS_ON 21 #include "../src/mat/impls/aij/seq/seqhashmatsetvalues.h" 22 #undef TYPE_BS 23 #undef TYPE_SBAIJ 24 #include "../src/mat/impls/aij/seq/seqhashmat.h" 25 #undef TYPE 26 #undef TYPE_BS_ON 27 28 #if defined(PETSC_HAVE_ELEMENTAL) 29 PETSC_INTERN PetscErrorCode MatConvert_SeqSBAIJ_Elemental(Mat, MatType, MatReuse, Mat *); 30 #endif 31 #if defined(PETSC_HAVE_SCALAPACK) 32 PETSC_INTERN PetscErrorCode MatConvert_SBAIJ_ScaLAPACK(Mat, MatType, MatReuse, Mat *); 33 #endif 34 PETSC_INTERN PetscErrorCode MatConvert_MPISBAIJ_Basic(Mat, MatType, MatReuse, Mat *); 35 36 /* 37 Checks for missing diagonals 38 */ 39 static PetscErrorCode MatMissingDiagonal_SeqSBAIJ(Mat A, PetscBool *missing, PetscInt *dd) 40 { 41 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 42 PetscInt *diag, *ii = a->i, i; 43 44 PetscFunctionBegin; 45 PetscCall(MatMarkDiagonal_SeqSBAIJ(A)); 46 *missing = PETSC_FALSE; 47 if (A->rmap->n > 0 && !ii) { 48 *missing = PETSC_TRUE; 49 if (dd) *dd = 0; 50 PetscCall(PetscInfo(A, "Matrix has no entries therefore is missing diagonal\n")); 51 } else { 52 diag = a->diag; 53 for (i = 0; i < a->mbs; i++) { 54 if (diag[i] >= ii[i + 1]) { 55 *missing = PETSC_TRUE; 56 if (dd) *dd = i; 57 break; 58 } 59 } 60 } 61 PetscFunctionReturn(PETSC_SUCCESS); 62 } 63 64 PetscErrorCode MatMarkDiagonal_SeqSBAIJ(Mat A) 65 { 66 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 67 PetscInt i, j; 68 69 PetscFunctionBegin; 70 if (!a->diag) { 71 PetscCall(PetscMalloc1(a->mbs, &a->diag)); 72 a->free_diag = PETSC_TRUE; 73 } 74 for (i = 0; i < a->mbs; i++) { 75 a->diag[i] = a->i[i + 1]; 76 for (j = a->i[i]; j < a->i[i + 1]; j++) { 77 if (a->j[j] == i) { 78 a->diag[i] = j; 79 break; 80 } 81 } 82 } 83 PetscFunctionReturn(PETSC_SUCCESS); 84 } 85 86 static PetscErrorCode MatGetRowIJ_SeqSBAIJ(Mat A, PetscInt oshift, PetscBool symmetric, PetscBool blockcompressed, PetscInt *nn, const PetscInt *inia[], const PetscInt *inja[], PetscBool *done) 87 { 88 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 89 PetscInt i, j, n = a->mbs, nz = a->i[n], *tia, *tja, bs = A->rmap->bs, k, l, cnt; 90 PetscInt **ia = (PetscInt **)inia, **ja = (PetscInt **)inja; 91 92 PetscFunctionBegin; 93 *nn = n; 94 if (!ia) PetscFunctionReturn(PETSC_SUCCESS); 95 if (symmetric) { 96 PetscCall(MatToSymmetricIJ_SeqAIJ(n, a->i, a->j, PETSC_FALSE, 0, 0, &tia, &tja)); 97 nz = tia[n]; 98 } else { 99 tia = a->i; 100 tja = a->j; 101 } 102 103 if (!blockcompressed && bs > 1) { 104 (*nn) *= bs; 105 /* malloc & create the natural set of indices */ 106 PetscCall(PetscMalloc1((n + 1) * bs, ia)); 107 if (n) { 108 (*ia)[0] = oshift; 109 for (j = 1; j < bs; j++) (*ia)[j] = (tia[1] - tia[0]) * bs + (*ia)[j - 1]; 110 } 111 112 for (i = 1; i < n; i++) { 113 (*ia)[i * bs] = (tia[i] - tia[i - 1]) * bs + (*ia)[i * bs - 1]; 114 for (j = 1; j < bs; j++) (*ia)[i * bs + j] = (tia[i + 1] - tia[i]) * bs + (*ia)[i * bs + j - 1]; 115 } 116 if (n) (*ia)[n * bs] = (tia[n] - tia[n - 1]) * bs + (*ia)[n * bs - 1]; 117 118 if (inja) { 119 PetscCall(PetscMalloc1(nz * bs * bs, ja)); 120 cnt = 0; 121 for (i = 0; i < n; i++) { 122 for (j = 0; j < bs; j++) { 123 for (k = tia[i]; k < tia[i + 1]; k++) { 124 for (l = 0; l < bs; l++) (*ja)[cnt++] = bs * tja[k] + l; 125 } 126 } 127 } 128 } 129 130 if (symmetric) { /* deallocate memory allocated in MatToSymmetricIJ_SeqAIJ() */ 131 PetscCall(PetscFree(tia)); 132 PetscCall(PetscFree(tja)); 133 } 134 } else if (oshift == 1) { 135 if (symmetric) { 136 nz = tia[A->rmap->n / bs]; 137 /* add 1 to i and j indices */ 138 for (i = 0; i < A->rmap->n / bs + 1; i++) tia[i] = tia[i] + 1; 139 *ia = tia; 140 if (ja) { 141 for (i = 0; i < nz; i++) tja[i] = tja[i] + 1; 142 *ja = tja; 143 } 144 } else { 145 nz = a->i[A->rmap->n / bs]; 146 /* malloc space and add 1 to i and j indices */ 147 PetscCall(PetscMalloc1(A->rmap->n / bs + 1, ia)); 148 for (i = 0; i < A->rmap->n / bs + 1; i++) (*ia)[i] = a->i[i] + 1; 149 if (ja) { 150 PetscCall(PetscMalloc1(nz, ja)); 151 for (i = 0; i < nz; i++) (*ja)[i] = a->j[i] + 1; 152 } 153 } 154 } else { 155 *ia = tia; 156 if (ja) *ja = tja; 157 } 158 PetscFunctionReturn(PETSC_SUCCESS); 159 } 160 161 static PetscErrorCode MatRestoreRowIJ_SeqSBAIJ(Mat A, PetscInt oshift, PetscBool symmetric, PetscBool blockcompressed, PetscInt *nn, const PetscInt *ia[], const PetscInt *ja[], PetscBool *done) 162 { 163 PetscFunctionBegin; 164 if (!ia) PetscFunctionReturn(PETSC_SUCCESS); 165 if ((!blockcompressed && A->rmap->bs > 1) || (symmetric || oshift == 1)) { 166 PetscCall(PetscFree(*ia)); 167 if (ja) PetscCall(PetscFree(*ja)); 168 } 169 PetscFunctionReturn(PETSC_SUCCESS); 170 } 171 172 PetscErrorCode MatDestroy_SeqSBAIJ(Mat A) 173 { 174 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 175 176 PetscFunctionBegin; 177 if (A->hash_active) { 178 PetscInt bs; 179 A->ops[0] = a->cops; 180 PetscCall(PetscHMapIJVDestroy(&a->ht)); 181 PetscCall(MatGetBlockSize(A, &bs)); 182 if (bs > 1) PetscCall(PetscHSetIJDestroy(&a->bht)); 183 PetscCall(PetscFree(a->dnz)); 184 PetscCall(PetscFree(a->bdnz)); 185 A->hash_active = PETSC_FALSE; 186 } 187 PetscCall(PetscLogObjectState((PetscObject)A, "Rows=%" PetscInt_FMT ", NZ=%" PetscInt_FMT, A->rmap->N, a->nz)); 188 PetscCall(MatSeqXAIJFreeAIJ(A, &a->a, &a->j, &a->i)); 189 if (a->free_diag) PetscCall(PetscFree(a->diag)); 190 PetscCall(ISDestroy(&a->row)); 191 PetscCall(ISDestroy(&a->col)); 192 PetscCall(ISDestroy(&a->icol)); 193 PetscCall(PetscFree(a->idiag)); 194 PetscCall(PetscFree(a->inode.size)); 195 if (a->free_imax_ilen) PetscCall(PetscFree2(a->imax, a->ilen)); 196 PetscCall(PetscFree(a->solve_work)); 197 PetscCall(PetscFree(a->sor_work)); 198 PetscCall(PetscFree(a->solves_work)); 199 PetscCall(PetscFree(a->mult_work)); 200 PetscCall(PetscFree(a->saved_values)); 201 if (a->free_jshort) PetscCall(PetscFree(a->jshort)); 202 PetscCall(PetscFree(a->inew)); 203 PetscCall(MatDestroy(&a->parent)); 204 PetscCall(PetscFree(A->data)); 205 206 PetscCall(PetscObjectChangeTypeName((PetscObject)A, NULL)); 207 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatSeqSBAIJGetArray_C", NULL)); 208 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatSeqSBAIJRestoreArray_C", NULL)); 209 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatStoreValues_C", NULL)); 210 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatRetrieveValues_C", NULL)); 211 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatSeqSBAIJSetColumnIndices_C", NULL)); 212 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqsbaij_seqaij_C", NULL)); 213 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqsbaij_seqbaij_C", NULL)); 214 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatSeqSBAIJSetPreallocation_C", NULL)); 215 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatSeqSBAIJSetPreallocationCSR_C", NULL)); 216 #if defined(PETSC_HAVE_ELEMENTAL) 217 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqsbaij_elemental_C", NULL)); 218 #endif 219 #if defined(PETSC_HAVE_SCALAPACK) 220 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqsbaij_scalapack_C", NULL)); 221 #endif 222 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatFactorGetSolverType_C", NULL)); 223 PetscFunctionReturn(PETSC_SUCCESS); 224 } 225 226 static PetscErrorCode MatSetOption_SeqSBAIJ(Mat A, MatOption op, PetscBool flg) 227 { 228 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 229 #if defined(PETSC_USE_COMPLEX) 230 PetscInt bs; 231 #endif 232 233 PetscFunctionBegin; 234 #if defined(PETSC_USE_COMPLEX) 235 PetscCall(MatGetBlockSize(A, &bs)); 236 #endif 237 switch (op) { 238 case MAT_ROW_ORIENTED: 239 a->roworiented = flg; 240 break; 241 case MAT_KEEP_NONZERO_PATTERN: 242 a->keepnonzeropattern = flg; 243 break; 244 case MAT_NEW_NONZERO_LOCATIONS: 245 a->nonew = (flg ? 0 : 1); 246 break; 247 case MAT_NEW_NONZERO_LOCATION_ERR: 248 a->nonew = (flg ? -1 : 0); 249 break; 250 case MAT_NEW_NONZERO_ALLOCATION_ERR: 251 a->nonew = (flg ? -2 : 0); 252 break; 253 case MAT_UNUSED_NONZERO_LOCATION_ERR: 254 a->nounused = (flg ? -1 : 0); 255 break; 256 case MAT_FORCE_DIAGONAL_ENTRIES: 257 case MAT_IGNORE_OFF_PROC_ENTRIES: 258 case MAT_USE_HASH_TABLE: 259 case MAT_SORTED_FULL: 260 PetscCall(PetscInfo(A, "Option %s ignored\n", MatOptions[op])); 261 break; 262 case MAT_HERMITIAN: 263 #if defined(PETSC_USE_COMPLEX) 264 if (flg) { /* disable transpose ops */ 265 PetscCheck(bs <= 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "No support for Hermitian with block size greater than 1"); 266 A->ops->multtranspose = NULL; 267 A->ops->multtransposeadd = NULL; 268 A->symmetric = PETSC_BOOL3_FALSE; 269 } 270 #endif 271 break; 272 case MAT_SYMMETRIC: 273 case MAT_SPD: 274 #if defined(PETSC_USE_COMPLEX) 275 if (flg) { /* An hermitian and symmetric matrix has zero imaginary part (restore back transpose ops) */ 276 A->ops->multtranspose = A->ops->mult; 277 A->ops->multtransposeadd = A->ops->multadd; 278 } 279 #endif 280 break; 281 /* These options are handled directly by MatSetOption() */ 282 case MAT_STRUCTURALLY_SYMMETRIC: 283 case MAT_SYMMETRY_ETERNAL: 284 case MAT_STRUCTURAL_SYMMETRY_ETERNAL: 285 case MAT_STRUCTURE_ONLY: 286 case MAT_SPD_ETERNAL: 287 /* These options are handled directly by MatSetOption() */ 288 break; 289 case MAT_IGNORE_LOWER_TRIANGULAR: 290 a->ignore_ltriangular = flg; 291 break; 292 case MAT_ERROR_LOWER_TRIANGULAR: 293 a->ignore_ltriangular = flg; 294 break; 295 case MAT_GETROW_UPPERTRIANGULAR: 296 a->getrow_utriangular = flg; 297 break; 298 case MAT_SUBMAT_SINGLEIS: 299 break; 300 default: 301 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "unknown option %d", op); 302 } 303 PetscFunctionReturn(PETSC_SUCCESS); 304 } 305 306 PetscErrorCode MatGetRow_SeqSBAIJ(Mat A, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v) 307 { 308 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 309 310 PetscFunctionBegin; 311 PetscCheck(!A || a->getrow_utriangular, PETSC_COMM_SELF, PETSC_ERR_SUP, "MatGetRow is not supported for SBAIJ matrix format. Getting the upper triangular part of row, run with -mat_getrow_uppertriangular, call MatSetOption(mat,MAT_GETROW_UPPERTRIANGULAR,PETSC_TRUE) or MatGetRowUpperTriangular()"); 312 313 /* Get the upper triangular part of the row */ 314 PetscCall(MatGetRow_SeqBAIJ_private(A, row, nz, idx, v, a->i, a->j, a->a)); 315 PetscFunctionReturn(PETSC_SUCCESS); 316 } 317 318 PetscErrorCode MatRestoreRow_SeqSBAIJ(Mat A, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v) 319 { 320 PetscFunctionBegin; 321 if (idx) PetscCall(PetscFree(*idx)); 322 if (v) PetscCall(PetscFree(*v)); 323 PetscFunctionReturn(PETSC_SUCCESS); 324 } 325 326 static PetscErrorCode MatGetRowUpperTriangular_SeqSBAIJ(Mat A) 327 { 328 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 329 330 PetscFunctionBegin; 331 a->getrow_utriangular = PETSC_TRUE; 332 PetscFunctionReturn(PETSC_SUCCESS); 333 } 334 335 static PetscErrorCode MatRestoreRowUpperTriangular_SeqSBAIJ(Mat A) 336 { 337 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 338 339 PetscFunctionBegin; 340 a->getrow_utriangular = PETSC_FALSE; 341 PetscFunctionReturn(PETSC_SUCCESS); 342 } 343 344 static PetscErrorCode MatTranspose_SeqSBAIJ(Mat A, MatReuse reuse, Mat *B) 345 { 346 PetscFunctionBegin; 347 if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *B)); 348 if (reuse == MAT_INITIAL_MATRIX) { 349 PetscCall(MatDuplicate(A, MAT_COPY_VALUES, B)); 350 } else if (reuse == MAT_REUSE_MATRIX) { 351 PetscCall(MatCopy(A, *B, SAME_NONZERO_PATTERN)); 352 } 353 PetscFunctionReturn(PETSC_SUCCESS); 354 } 355 356 static PetscErrorCode MatView_SeqSBAIJ_ASCII(Mat A, PetscViewer viewer) 357 { 358 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 359 PetscInt i, j, bs = A->rmap->bs, k, l, bs2 = a->bs2; 360 PetscViewerFormat format; 361 PetscInt *diag; 362 const char *matname; 363 364 PetscFunctionBegin; 365 PetscCall(PetscViewerGetFormat(viewer, &format)); 366 if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 367 PetscCall(PetscViewerASCIIPrintf(viewer, " block size is %" PetscInt_FMT "\n", bs)); 368 } else if (format == PETSC_VIEWER_ASCII_MATLAB) { 369 Mat aij; 370 371 if (A->factortype && bs > 1) { 372 PetscCall(PetscPrintf(PETSC_COMM_SELF, "Warning: matrix is factored with bs>1. MatView() with PETSC_VIEWER_ASCII_MATLAB is not supported and ignored!\n")); 373 PetscFunctionReturn(PETSC_SUCCESS); 374 } 375 PetscCall(MatConvert(A, MATSEQAIJ, MAT_INITIAL_MATRIX, &aij)); 376 if (((PetscObject)A)->name) PetscCall(PetscObjectGetName((PetscObject)A, &matname)); 377 if (((PetscObject)A)->name) PetscCall(PetscObjectSetName((PetscObject)aij, matname)); 378 PetscCall(MatView_SeqAIJ(aij, viewer)); 379 PetscCall(MatDestroy(&aij)); 380 } else if (format == PETSC_VIEWER_ASCII_COMMON) { 381 Mat B; 382 383 PetscCall(MatConvert(A, MATSEQAIJ, MAT_INITIAL_MATRIX, &B)); 384 if (((PetscObject)A)->name) PetscCall(PetscObjectGetName((PetscObject)A, &matname)); 385 if (((PetscObject)A)->name) PetscCall(PetscObjectSetName((PetscObject)B, matname)); 386 PetscCall(MatView_SeqAIJ(B, viewer)); 387 PetscCall(MatDestroy(&B)); 388 } else if (format == PETSC_VIEWER_ASCII_FACTOR_INFO) { 389 PetscFunctionReturn(PETSC_SUCCESS); 390 } else { 391 PetscCall(PetscViewerASCIIUseTabs(viewer, PETSC_FALSE)); 392 if (A->factortype) { /* for factored matrix */ 393 PetscCheck(bs <= 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "matrix is factored with bs>1. Not implemented yet"); 394 395 diag = a->diag; 396 for (i = 0; i < a->mbs; i++) { /* for row block i */ 397 PetscCall(PetscViewerASCIIPrintf(viewer, "row %" PetscInt_FMT ":", i)); 398 /* diagonal entry */ 399 #if defined(PETSC_USE_COMPLEX) 400 if (PetscImaginaryPart(a->a[diag[i]]) > 0.0) { 401 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g + %g i) ", a->j[diag[i]], (double)PetscRealPart(1.0 / a->a[diag[i]]), (double)PetscImaginaryPart(1.0 / a->a[diag[i]]))); 402 } else if (PetscImaginaryPart(a->a[diag[i]]) < 0.0) { 403 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g - %g i) ", a->j[diag[i]], (double)PetscRealPart(1.0 / a->a[diag[i]]), -(double)PetscImaginaryPart(1.0 / a->a[diag[i]]))); 404 } else { 405 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", a->j[diag[i]], (double)PetscRealPart(1.0 / a->a[diag[i]]))); 406 } 407 #else 408 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", a->j[diag[i]], (double)(1.0 / a->a[diag[i]]))); 409 #endif 410 /* off-diagonal entries */ 411 for (k = a->i[i]; k < a->i[i + 1] - 1; k++) { 412 #if defined(PETSC_USE_COMPLEX) 413 if (PetscImaginaryPart(a->a[k]) > 0.0) { 414 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g + %g i) ", bs * a->j[k], (double)PetscRealPart(a->a[k]), (double)PetscImaginaryPart(a->a[k]))); 415 } else if (PetscImaginaryPart(a->a[k]) < 0.0) { 416 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g - %g i) ", bs * a->j[k], (double)PetscRealPart(a->a[k]), -(double)PetscImaginaryPart(a->a[k]))); 417 } else { 418 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", bs * a->j[k], (double)PetscRealPart(a->a[k]))); 419 } 420 #else 421 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", a->j[k], (double)a->a[k])); 422 #endif 423 } 424 PetscCall(PetscViewerASCIIPrintf(viewer, "\n")); 425 } 426 427 } else { /* for non-factored matrix */ 428 for (i = 0; i < a->mbs; i++) { /* for row block i */ 429 for (j = 0; j < bs; j++) { /* for row bs*i + j */ 430 PetscCall(PetscViewerASCIIPrintf(viewer, "row %" PetscInt_FMT ":", i * bs + j)); 431 for (k = a->i[i]; k < a->i[i + 1]; k++) { /* for column block */ 432 for (l = 0; l < bs; l++) { /* for column */ 433 #if defined(PETSC_USE_COMPLEX) 434 if (PetscImaginaryPart(a->a[bs2 * k + l * bs + j]) > 0.0) { 435 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g + %g i) ", bs * a->j[k] + l, (double)PetscRealPart(a->a[bs2 * k + l * bs + j]), (double)PetscImaginaryPart(a->a[bs2 * k + l * bs + j]))); 436 } else if (PetscImaginaryPart(a->a[bs2 * k + l * bs + j]) < 0.0) { 437 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g - %g i) ", bs * a->j[k] + l, (double)PetscRealPart(a->a[bs2 * k + l * bs + j]), -(double)PetscImaginaryPart(a->a[bs2 * k + l * bs + j]))); 438 } else { 439 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", bs * a->j[k] + l, (double)PetscRealPart(a->a[bs2 * k + l * bs + j]))); 440 } 441 #else 442 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", bs * a->j[k] + l, (double)a->a[bs2 * k + l * bs + j])); 443 #endif 444 } 445 } 446 PetscCall(PetscViewerASCIIPrintf(viewer, "\n")); 447 } 448 } 449 } 450 PetscCall(PetscViewerASCIIUseTabs(viewer, PETSC_TRUE)); 451 } 452 PetscCall(PetscViewerFlush(viewer)); 453 PetscFunctionReturn(PETSC_SUCCESS); 454 } 455 456 #include <petscdraw.h> 457 static PetscErrorCode MatView_SeqSBAIJ_Draw_Zoom(PetscDraw draw, void *Aa) 458 { 459 Mat A = (Mat)Aa; 460 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 461 PetscInt row, i, j, k, l, mbs = a->mbs, bs = A->rmap->bs, bs2 = a->bs2; 462 PetscReal xl, yl, xr, yr, x_l, x_r, y_l, y_r; 463 MatScalar *aa; 464 PetscViewer viewer; 465 int color; 466 467 PetscFunctionBegin; 468 PetscCall(PetscObjectQuery((PetscObject)A, "Zoomviewer", (PetscObject *)&viewer)); 469 PetscCall(PetscDrawGetCoordinates(draw, &xl, &yl, &xr, &yr)); 470 471 /* loop over matrix elements drawing boxes */ 472 473 PetscDrawCollectiveBegin(draw); 474 PetscCall(PetscDrawString(draw, .3 * (xl + xr), .3 * (yl + yr), PETSC_DRAW_BLACK, "symmetric")); 475 /* Blue for negative, Cyan for zero and Red for positive */ 476 color = PETSC_DRAW_BLUE; 477 for (i = 0, row = 0; i < mbs; i++, row += bs) { 478 for (j = a->i[i]; j < a->i[i + 1]; j++) { 479 y_l = A->rmap->N - row - 1.0; 480 y_r = y_l + 1.0; 481 x_l = a->j[j] * bs; 482 x_r = x_l + 1.0; 483 aa = a->a + j * bs2; 484 for (k = 0; k < bs; k++) { 485 for (l = 0; l < bs; l++) { 486 if (PetscRealPart(*aa++) >= 0.) continue; 487 PetscCall(PetscDrawRectangle(draw, x_l + k, y_l - l, x_r + k, y_r - l, color, color, color, color)); 488 } 489 } 490 } 491 } 492 color = PETSC_DRAW_CYAN; 493 for (i = 0, row = 0; i < mbs; i++, row += bs) { 494 for (j = a->i[i]; j < a->i[i + 1]; j++) { 495 y_l = A->rmap->N - row - 1.0; 496 y_r = y_l + 1.0; 497 x_l = a->j[j] * bs; 498 x_r = x_l + 1.0; 499 aa = a->a + j * bs2; 500 for (k = 0; k < bs; k++) { 501 for (l = 0; l < bs; l++) { 502 if (PetscRealPart(*aa++) != 0.) continue; 503 PetscCall(PetscDrawRectangle(draw, x_l + k, y_l - l, x_r + k, y_r - l, color, color, color, color)); 504 } 505 } 506 } 507 } 508 color = PETSC_DRAW_RED; 509 for (i = 0, row = 0; i < mbs; i++, row += bs) { 510 for (j = a->i[i]; j < a->i[i + 1]; j++) { 511 y_l = A->rmap->N - row - 1.0; 512 y_r = y_l + 1.0; 513 x_l = a->j[j] * bs; 514 x_r = x_l + 1.0; 515 aa = a->a + j * bs2; 516 for (k = 0; k < bs; k++) { 517 for (l = 0; l < bs; l++) { 518 if (PetscRealPart(*aa++) <= 0.) continue; 519 PetscCall(PetscDrawRectangle(draw, x_l + k, y_l - l, x_r + k, y_r - l, color, color, color, color)); 520 } 521 } 522 } 523 } 524 PetscDrawCollectiveEnd(draw); 525 PetscFunctionReturn(PETSC_SUCCESS); 526 } 527 528 static PetscErrorCode MatView_SeqSBAIJ_Draw(Mat A, PetscViewer viewer) 529 { 530 PetscReal xl, yl, xr, yr, w, h; 531 PetscDraw draw; 532 PetscBool isnull; 533 534 PetscFunctionBegin; 535 PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw)); 536 PetscCall(PetscDrawIsNull(draw, &isnull)); 537 if (isnull) PetscFunctionReturn(PETSC_SUCCESS); 538 539 xr = A->rmap->N; 540 yr = A->rmap->N; 541 h = yr / 10.0; 542 w = xr / 10.0; 543 xr += w; 544 yr += h; 545 xl = -w; 546 yl = -h; 547 PetscCall(PetscDrawSetCoordinates(draw, xl, yl, xr, yr)); 548 PetscCall(PetscObjectCompose((PetscObject)A, "Zoomviewer", (PetscObject)viewer)); 549 PetscCall(PetscDrawZoom(draw, MatView_SeqSBAIJ_Draw_Zoom, A)); 550 PetscCall(PetscObjectCompose((PetscObject)A, "Zoomviewer", NULL)); 551 PetscCall(PetscDrawSave(draw)); 552 PetscFunctionReturn(PETSC_SUCCESS); 553 } 554 555 /* Used for both MPIBAIJ and MPISBAIJ matrices */ 556 #define MatView_SeqSBAIJ_Binary MatView_SeqBAIJ_Binary 557 558 PetscErrorCode MatView_SeqSBAIJ(Mat A, PetscViewer viewer) 559 { 560 PetscBool iascii, isbinary, isdraw; 561 562 PetscFunctionBegin; 563 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 564 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 565 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 566 if (iascii) { 567 PetscCall(MatView_SeqSBAIJ_ASCII(A, viewer)); 568 } else if (isbinary) { 569 PetscCall(MatView_SeqSBAIJ_Binary(A, viewer)); 570 } else if (isdraw) { 571 PetscCall(MatView_SeqSBAIJ_Draw(A, viewer)); 572 } else { 573 Mat B; 574 const char *matname; 575 PetscCall(MatConvert(A, MATSEQAIJ, MAT_INITIAL_MATRIX, &B)); 576 if (((PetscObject)A)->name) PetscCall(PetscObjectGetName((PetscObject)A, &matname)); 577 if (((PetscObject)A)->name) PetscCall(PetscObjectSetName((PetscObject)B, matname)); 578 PetscCall(MatView(B, viewer)); 579 PetscCall(MatDestroy(&B)); 580 } 581 PetscFunctionReturn(PETSC_SUCCESS); 582 } 583 584 PetscErrorCode MatGetValues_SeqSBAIJ(Mat A, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], PetscScalar v[]) 585 { 586 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 587 PetscInt *rp, k, low, high, t, row, nrow, i, col, l, *aj = a->j; 588 PetscInt *ai = a->i, *ailen = a->ilen; 589 PetscInt brow, bcol, ridx, cidx, bs = A->rmap->bs, bs2 = a->bs2; 590 MatScalar *ap, *aa = a->a; 591 592 PetscFunctionBegin; 593 for (k = 0; k < m; k++) { /* loop over rows */ 594 row = im[k]; 595 brow = row / bs; 596 if (row < 0) { 597 v += n; 598 continue; 599 } /* negative row */ 600 PetscCheck(row < A->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, row, A->rmap->N - 1); 601 rp = aj + ai[brow]; 602 ap = aa + bs2 * ai[brow]; 603 nrow = ailen[brow]; 604 for (l = 0; l < n; l++) { /* loop over columns */ 605 if (in[l] < 0) { 606 v++; 607 continue; 608 } /* negative column */ 609 PetscCheck(in[l] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, in[l], A->cmap->n - 1); 610 col = in[l]; 611 bcol = col / bs; 612 cidx = col % bs; 613 ridx = row % bs; 614 high = nrow; 615 low = 0; /* assume unsorted */ 616 while (high - low > 5) { 617 t = (low + high) / 2; 618 if (rp[t] > bcol) high = t; 619 else low = t; 620 } 621 for (i = low; i < high; i++) { 622 if (rp[i] > bcol) break; 623 if (rp[i] == bcol) { 624 *v++ = ap[bs2 * i + bs * cidx + ridx]; 625 goto finished; 626 } 627 } 628 *v++ = 0.0; 629 finished:; 630 } 631 } 632 PetscFunctionReturn(PETSC_SUCCESS); 633 } 634 635 static PetscErrorCode MatPermute_SeqSBAIJ(Mat A, IS rowp, IS colp, Mat *B) 636 { 637 Mat C; 638 PetscBool flg = (PetscBool)(rowp == colp); 639 640 PetscFunctionBegin; 641 PetscCall(MatConvert(A, MATSEQBAIJ, MAT_INITIAL_MATRIX, &C)); 642 PetscCall(MatPermute(C, rowp, colp, B)); 643 PetscCall(MatDestroy(&C)); 644 if (!flg) PetscCall(ISEqual(rowp, colp, &flg)); 645 if (flg) PetscCall(MatConvert(*B, MATSEQSBAIJ, MAT_INPLACE_MATRIX, B)); 646 PetscFunctionReturn(PETSC_SUCCESS); 647 } 648 649 PetscErrorCode MatSetValuesBlocked_SeqSBAIJ(Mat A, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const PetscScalar v[], InsertMode is) 650 { 651 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 652 PetscInt *rp, k, low, high, t, ii, jj, row, nrow, i, col, l, rmax, N, lastcol = -1; 653 PetscInt *imax = a->imax, *ai = a->i, *ailen = a->ilen; 654 PetscInt *aj = a->j, nonew = a->nonew, bs2 = a->bs2, bs = A->rmap->bs, stepval; 655 PetscBool roworiented = a->roworiented; 656 const PetscScalar *value = v; 657 MatScalar *ap, *aa = a->a, *bap; 658 659 PetscFunctionBegin; 660 if (roworiented) stepval = (n - 1) * bs; 661 else stepval = (m - 1) * bs; 662 for (k = 0; k < m; k++) { /* loop over added rows */ 663 row = im[k]; 664 if (row < 0) continue; 665 PetscCheck(row < a->mbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Block index row too large %" PetscInt_FMT " max %" PetscInt_FMT, row, a->mbs - 1); 666 rp = aj + ai[row]; 667 ap = aa + bs2 * ai[row]; 668 rmax = imax[row]; 669 nrow = ailen[row]; 670 low = 0; 671 high = nrow; 672 for (l = 0; l < n; l++) { /* loop over added columns */ 673 if (in[l] < 0) continue; 674 col = in[l]; 675 PetscCheck(col < a->nbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Block index column too large %" PetscInt_FMT " max %" PetscInt_FMT, col, a->nbs - 1); 676 if (col < row) { 677 if (a->ignore_ltriangular) continue; /* ignore lower triangular block */ 678 else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)"); 679 } 680 if (roworiented) value = v + k * (stepval + bs) * bs + l * bs; 681 else value = v + l * (stepval + bs) * bs + k * bs; 682 683 if (col <= lastcol) low = 0; 684 else high = nrow; 685 686 lastcol = col; 687 while (high - low > 7) { 688 t = (low + high) / 2; 689 if (rp[t] > col) high = t; 690 else low = t; 691 } 692 for (i = low; i < high; i++) { 693 if (rp[i] > col) break; 694 if (rp[i] == col) { 695 bap = ap + bs2 * i; 696 if (roworiented) { 697 if (is == ADD_VALUES) { 698 for (ii = 0; ii < bs; ii++, value += stepval) { 699 for (jj = ii; jj < bs2; jj += bs) bap[jj] += *value++; 700 } 701 } else { 702 for (ii = 0; ii < bs; ii++, value += stepval) { 703 for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++; 704 } 705 } 706 } else { 707 if (is == ADD_VALUES) { 708 for (ii = 0; ii < bs; ii++, value += stepval) { 709 for (jj = 0; jj < bs; jj++) *bap++ += *value++; 710 } 711 } else { 712 for (ii = 0; ii < bs; ii++, value += stepval) { 713 for (jj = 0; jj < bs; jj++) *bap++ = *value++; 714 } 715 } 716 } 717 goto noinsert2; 718 } 719 } 720 if (nonew == 1) goto noinsert2; 721 PetscCheck(nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new block index nonzero block (%" PetscInt_FMT ", %" PetscInt_FMT ") in the matrix", row, col); 722 MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, row, col, rmax, aa, ai, aj, rp, ap, imax, nonew, MatScalar); 723 N = nrow++ - 1; 724 high++; 725 /* shift up all the later entries in this row */ 726 PetscCall(PetscArraymove(rp + i + 1, rp + i, N - i + 1)); 727 PetscCall(PetscArraymove(ap + bs2 * (i + 1), ap + bs2 * i, bs2 * (N - i + 1))); 728 PetscCall(PetscArrayzero(ap + bs2 * i, bs2)); 729 rp[i] = col; 730 bap = ap + bs2 * i; 731 if (roworiented) { 732 for (ii = 0; ii < bs; ii++, value += stepval) { 733 for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++; 734 } 735 } else { 736 for (ii = 0; ii < bs; ii++, value += stepval) { 737 for (jj = 0; jj < bs; jj++) *bap++ = *value++; 738 } 739 } 740 noinsert2:; 741 low = i; 742 } 743 ailen[row] = nrow; 744 } 745 PetscFunctionReturn(PETSC_SUCCESS); 746 } 747 748 static PetscErrorCode MatAssemblyEnd_SeqSBAIJ(Mat A, MatAssemblyType mode) 749 { 750 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 751 PetscInt fshift = 0, i, *ai = a->i, *aj = a->j, *imax = a->imax; 752 PetscInt m = A->rmap->N, *ip, N, *ailen = a->ilen; 753 PetscInt mbs = a->mbs, bs2 = a->bs2, rmax = 0; 754 MatScalar *aa = a->a, *ap; 755 756 PetscFunctionBegin; 757 if (mode == MAT_FLUSH_ASSEMBLY || (A->was_assembled && A->ass_nonzerostate == A->nonzerostate)) PetscFunctionReturn(PETSC_SUCCESS); 758 759 if (m) rmax = ailen[0]; 760 for (i = 1; i < mbs; i++) { 761 /* move each row back by the amount of empty slots (fshift) before it*/ 762 fshift += imax[i - 1] - ailen[i - 1]; 763 rmax = PetscMax(rmax, ailen[i]); 764 if (fshift) { 765 ip = aj + ai[i]; 766 ap = aa + bs2 * ai[i]; 767 N = ailen[i]; 768 PetscCall(PetscArraymove(ip - fshift, ip, N)); 769 PetscCall(PetscArraymove(ap - bs2 * fshift, ap, bs2 * N)); 770 } 771 ai[i] = ai[i - 1] + ailen[i - 1]; 772 } 773 if (mbs) { 774 fshift += imax[mbs - 1] - ailen[mbs - 1]; 775 ai[mbs] = ai[mbs - 1] + ailen[mbs - 1]; 776 } 777 /* reset ilen and imax for each row */ 778 for (i = 0; i < mbs; i++) ailen[i] = imax[i] = ai[i + 1] - ai[i]; 779 a->nz = ai[mbs]; 780 781 /* diagonals may have moved, reset it */ 782 if (a->diag) PetscCall(PetscArraycpy(a->diag, ai, mbs)); 783 PetscCheck(!fshift || a->nounused != -1, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Unused space detected in matrix: %" PetscInt_FMT " X %" PetscInt_FMT " block size %" PetscInt_FMT ", %" PetscInt_FMT " unneeded", m, A->cmap->n, A->rmap->bs, fshift * bs2); 784 785 PetscCall(PetscInfo(A, "Matrix size: %" PetscInt_FMT " X %" PetscInt_FMT ", block size %" PetscInt_FMT "; storage space: %" PetscInt_FMT " unneeded, %" PetscInt_FMT " used\n", m, A->rmap->N, A->rmap->bs, fshift * bs2, a->nz * bs2)); 786 PetscCall(PetscInfo(A, "Number of mallocs during MatSetValues is %" PetscInt_FMT "\n", a->reallocs)); 787 PetscCall(PetscInfo(A, "Most nonzeros blocks in any row is %" PetscInt_FMT "\n", rmax)); 788 789 A->info.mallocs += a->reallocs; 790 a->reallocs = 0; 791 A->info.nz_unneeded = (PetscReal)fshift * bs2; 792 a->idiagvalid = PETSC_FALSE; 793 a->rmax = rmax; 794 795 if (A->cmap->n < 65536 && A->cmap->bs == 1) { 796 if (a->jshort && a->free_jshort) { 797 /* when matrix data structure is changed, previous jshort must be replaced */ 798 PetscCall(PetscFree(a->jshort)); 799 } 800 PetscCall(PetscMalloc1(a->i[A->rmap->n], &a->jshort)); 801 for (i = 0; i < a->i[A->rmap->n]; i++) a->jshort[i] = (short)a->j[i]; 802 A->ops->mult = MatMult_SeqSBAIJ_1_ushort; 803 A->ops->sor = MatSOR_SeqSBAIJ_ushort; 804 a->free_jshort = PETSC_TRUE; 805 } 806 PetscFunctionReturn(PETSC_SUCCESS); 807 } 808 809 /* Only add/insert a(i,j) with i<=j (blocks). 810 Any a(i,j) with i>j input by user is ignored. 811 */ 812 813 PetscErrorCode MatSetValues_SeqSBAIJ(Mat A, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const PetscScalar v[], InsertMode is) 814 { 815 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 816 PetscInt *rp, k, low, high, t, ii, row, nrow, i, col, l, rmax, N, lastcol = -1; 817 PetscInt *imax = a->imax, *ai = a->i, *ailen = a->ilen, roworiented = a->roworiented; 818 PetscInt *aj = a->j, nonew = a->nonew, bs = A->rmap->bs, brow, bcol; 819 PetscInt ridx, cidx, bs2 = a->bs2; 820 MatScalar *ap, value, *aa = a->a, *bap; 821 822 PetscFunctionBegin; 823 for (k = 0; k < m; k++) { /* loop over added rows */ 824 row = im[k]; /* row number */ 825 brow = row / bs; /* block row number */ 826 if (row < 0) continue; 827 PetscCheck(row < A->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, row, A->rmap->N - 1); 828 rp = aj + ai[brow]; /*ptr to beginning of column value of the row block*/ 829 ap = aa + bs2 * ai[brow]; /*ptr to beginning of element value of the row block*/ 830 rmax = imax[brow]; /* maximum space allocated for this row */ 831 nrow = ailen[brow]; /* actual length of this row */ 832 low = 0; 833 high = nrow; 834 for (l = 0; l < n; l++) { /* loop over added columns */ 835 if (in[l] < 0) continue; 836 PetscCheck(in[l] < A->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, in[l], A->cmap->N - 1); 837 col = in[l]; 838 bcol = col / bs; /* block col number */ 839 840 if (brow > bcol) { 841 if (a->ignore_ltriangular) continue; /* ignore lower triangular values */ 842 else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)"); 843 } 844 845 ridx = row % bs; 846 cidx = col % bs; /*row and col index inside the block */ 847 if ((brow == bcol && ridx <= cidx) || (brow < bcol)) { 848 /* element value a(k,l) */ 849 if (roworiented) value = v[l + k * n]; 850 else value = v[k + l * m]; 851 852 /* move pointer bap to a(k,l) quickly and add/insert value */ 853 if (col <= lastcol) low = 0; 854 else high = nrow; 855 856 lastcol = col; 857 while (high - low > 7) { 858 t = (low + high) / 2; 859 if (rp[t] > bcol) high = t; 860 else low = t; 861 } 862 for (i = low; i < high; i++) { 863 if (rp[i] > bcol) break; 864 if (rp[i] == bcol) { 865 bap = ap + bs2 * i + bs * cidx + ridx; 866 if (is == ADD_VALUES) *bap += value; 867 else *bap = value; 868 /* for diag block, add/insert its symmetric element a(cidx,ridx) */ 869 if (brow == bcol && ridx < cidx) { 870 bap = ap + bs2 * i + bs * ridx + cidx; 871 if (is == ADD_VALUES) *bap += value; 872 else *bap = value; 873 } 874 goto noinsert1; 875 } 876 } 877 878 if (nonew == 1) goto noinsert1; 879 PetscCheck(nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new nonzero (%" PetscInt_FMT ", %" PetscInt_FMT ") in the matrix", row, col); 880 MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, brow, bcol, rmax, aa, ai, aj, rp, ap, imax, nonew, MatScalar); 881 882 N = nrow++ - 1; 883 high++; 884 /* shift up all the later entries in this row */ 885 PetscCall(PetscArraymove(rp + i + 1, rp + i, N - i + 1)); 886 PetscCall(PetscArraymove(ap + bs2 * (i + 1), ap + bs2 * i, bs2 * (N - i + 1))); 887 PetscCall(PetscArrayzero(ap + bs2 * i, bs2)); 888 rp[i] = bcol; 889 ap[bs2 * i + bs * cidx + ridx] = value; 890 /* for diag block, add/insert its symmetric element a(cidx,ridx) */ 891 if (brow == bcol && ridx < cidx) ap[bs2 * i + bs * ridx + cidx] = value; 892 noinsert1:; 893 low = i; 894 } 895 } /* end of loop over added columns */ 896 ailen[brow] = nrow; 897 } /* end of loop over added rows */ 898 PetscFunctionReturn(PETSC_SUCCESS); 899 } 900 901 static PetscErrorCode MatICCFactor_SeqSBAIJ(Mat inA, IS row, const MatFactorInfo *info) 902 { 903 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)inA->data; 904 Mat outA; 905 PetscBool row_identity; 906 907 PetscFunctionBegin; 908 PetscCheck(info->levels == 0, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only levels=0 is supported for in-place icc"); 909 PetscCall(ISIdentity(row, &row_identity)); 910 PetscCheck(row_identity, PETSC_COMM_SELF, PETSC_ERR_SUP, "Matrix reordering is not supported"); 911 PetscCheck(inA->rmap->bs == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "Matrix block size %" PetscInt_FMT " is not supported", inA->rmap->bs); /* Need to replace MatCholeskyFactorSymbolic_SeqSBAIJ_MSR()! */ 912 913 outA = inA; 914 inA->factortype = MAT_FACTOR_ICC; 915 PetscCall(PetscFree(inA->solvertype)); 916 PetscCall(PetscStrallocpy(MATSOLVERPETSC, &inA->solvertype)); 917 918 PetscCall(MatMarkDiagonal_SeqSBAIJ(inA)); 919 PetscCall(MatSeqSBAIJSetNumericFactorization_inplace(inA, row_identity)); 920 921 PetscCall(PetscObjectReference((PetscObject)row)); 922 PetscCall(ISDestroy(&a->row)); 923 a->row = row; 924 PetscCall(PetscObjectReference((PetscObject)row)); 925 PetscCall(ISDestroy(&a->col)); 926 a->col = row; 927 928 /* Create the invert permutation so that it can be used in MatCholeskyFactorNumeric() */ 929 if (a->icol) PetscCall(ISInvertPermutation(row, PETSC_DECIDE, &a->icol)); 930 931 if (!a->solve_work) PetscCall(PetscMalloc1(inA->rmap->N + inA->rmap->bs, &a->solve_work)); 932 933 PetscCall(MatCholeskyFactorNumeric(outA, inA, info)); 934 PetscFunctionReturn(PETSC_SUCCESS); 935 } 936 937 static PetscErrorCode MatSeqSBAIJSetColumnIndices_SeqSBAIJ(Mat mat, PetscInt *indices) 938 { 939 Mat_SeqSBAIJ *baij = (Mat_SeqSBAIJ *)mat->data; 940 PetscInt i, nz, n; 941 942 PetscFunctionBegin; 943 nz = baij->maxnz; 944 n = mat->cmap->n; 945 for (i = 0; i < nz; i++) baij->j[i] = indices[i]; 946 947 baij->nz = nz; 948 for (i = 0; i < n; i++) baij->ilen[i] = baij->imax[i]; 949 950 PetscCall(MatSetOption(mat, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE)); 951 PetscFunctionReturn(PETSC_SUCCESS); 952 } 953 954 /*@ 955 MatSeqSBAIJSetColumnIndices - Set the column indices for all the rows 956 in a `MATSEQSBAIJ` matrix. 957 958 Input Parameters: 959 + mat - the `MATSEQSBAIJ` matrix 960 - indices - the column indices 961 962 Level: advanced 963 964 Notes: 965 This can be called if you have precomputed the nonzero structure of the 966 matrix and want to provide it to the matrix object to improve the performance 967 of the `MatSetValues()` operation. 968 969 You MUST have set the correct numbers of nonzeros per row in the call to 970 `MatCreateSeqSBAIJ()`, and the columns indices MUST be sorted. 971 972 MUST be called before any calls to `MatSetValues()` 973 974 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MatCreateSeqSBAIJ` 975 @*/ 976 PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat mat, PetscInt *indices) 977 { 978 PetscFunctionBegin; 979 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 980 PetscAssertPointer(indices, 2); 981 PetscUseMethod(mat, "MatSeqSBAIJSetColumnIndices_C", (Mat, PetscInt *), (mat, indices)); 982 PetscFunctionReturn(PETSC_SUCCESS); 983 } 984 985 static PetscErrorCode MatCopy_SeqSBAIJ(Mat A, Mat B, MatStructure str) 986 { 987 PetscBool isbaij; 988 989 PetscFunctionBegin; 990 PetscCall(PetscObjectTypeCompareAny((PetscObject)B, &isbaij, MATSEQSBAIJ, MATMPISBAIJ, "")); 991 PetscCheck(isbaij, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "Not for matrix type %s", ((PetscObject)B)->type_name); 992 /* If the two matrices have the same copy implementation and nonzero pattern, use fast copy. */ 993 if (str == SAME_NONZERO_PATTERN && A->ops->copy == B->ops->copy) { 994 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 995 Mat_SeqSBAIJ *b = (Mat_SeqSBAIJ *)B->data; 996 997 PetscCheck(a->i[a->mbs] == b->i[b->mbs], PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Number of nonzeros in two matrices are different"); 998 PetscCheck(a->mbs == b->mbs, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Number of rows in two matrices are different"); 999 PetscCheck(a->bs2 == b->bs2, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Different block size"); 1000 PetscCall(PetscArraycpy(b->a, a->a, a->bs2 * a->i[a->mbs])); 1001 PetscCall(PetscObjectStateIncrease((PetscObject)B)); 1002 } else { 1003 PetscCall(MatGetRowUpperTriangular(A)); 1004 PetscCall(MatCopy_Basic(A, B, str)); 1005 PetscCall(MatRestoreRowUpperTriangular(A)); 1006 } 1007 PetscFunctionReturn(PETSC_SUCCESS); 1008 } 1009 1010 static PetscErrorCode MatSeqSBAIJGetArray_SeqSBAIJ(Mat A, PetscScalar *array[]) 1011 { 1012 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 1013 1014 PetscFunctionBegin; 1015 *array = a->a; 1016 PetscFunctionReturn(PETSC_SUCCESS); 1017 } 1018 1019 static PetscErrorCode MatSeqSBAIJRestoreArray_SeqSBAIJ(Mat A, PetscScalar *array[]) 1020 { 1021 PetscFunctionBegin; 1022 *array = NULL; 1023 PetscFunctionReturn(PETSC_SUCCESS); 1024 } 1025 1026 PetscErrorCode MatAXPYGetPreallocation_SeqSBAIJ(Mat Y, Mat X, PetscInt *nnz) 1027 { 1028 PetscInt bs = Y->rmap->bs, mbs = Y->rmap->N / bs; 1029 Mat_SeqSBAIJ *x = (Mat_SeqSBAIJ *)X->data; 1030 Mat_SeqSBAIJ *y = (Mat_SeqSBAIJ *)Y->data; 1031 1032 PetscFunctionBegin; 1033 /* Set the number of nonzeros in the new matrix */ 1034 PetscCall(MatAXPYGetPreallocation_SeqX_private(mbs, x->i, x->j, y->i, y->j, nnz)); 1035 PetscFunctionReturn(PETSC_SUCCESS); 1036 } 1037 1038 static PetscErrorCode MatAXPY_SeqSBAIJ(Mat Y, PetscScalar a, Mat X, MatStructure str) 1039 { 1040 Mat_SeqSBAIJ *x = (Mat_SeqSBAIJ *)X->data, *y = (Mat_SeqSBAIJ *)Y->data; 1041 PetscInt bs = Y->rmap->bs, bs2 = bs * bs; 1042 PetscBLASInt one = 1; 1043 1044 PetscFunctionBegin; 1045 if (str == UNKNOWN_NONZERO_PATTERN || (PetscDefined(USE_DEBUG) && str == SAME_NONZERO_PATTERN)) { 1046 PetscBool e = x->nz == y->nz && x->mbs == y->mbs ? PETSC_TRUE : PETSC_FALSE; 1047 if (e) { 1048 PetscCall(PetscArraycmp(x->i, y->i, x->mbs + 1, &e)); 1049 if (e) { 1050 PetscCall(PetscArraycmp(x->j, y->j, x->i[x->mbs], &e)); 1051 if (e) str = SAME_NONZERO_PATTERN; 1052 } 1053 } 1054 if (!e) PetscCheck(str != SAME_NONZERO_PATTERN, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "MatStructure is not SAME_NONZERO_PATTERN"); 1055 } 1056 if (str == SAME_NONZERO_PATTERN) { 1057 PetscScalar alpha = a; 1058 PetscBLASInt bnz; 1059 PetscCall(PetscBLASIntCast(x->nz * bs2, &bnz)); 1060 PetscCallBLAS("BLASaxpy", BLASaxpy_(&bnz, &alpha, x->a, &one, y->a, &one)); 1061 PetscCall(PetscObjectStateIncrease((PetscObject)Y)); 1062 } else if (str == SUBSET_NONZERO_PATTERN) { /* nonzeros of X is a subset of Y's */ 1063 PetscCall(MatSetOption(X, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE)); 1064 PetscCall(MatAXPY_Basic(Y, a, X, str)); 1065 PetscCall(MatSetOption(X, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE)); 1066 } else { 1067 Mat B; 1068 PetscInt *nnz; 1069 PetscCheck(bs == X->rmap->bs, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrices must have same block size"); 1070 PetscCall(MatGetRowUpperTriangular(X)); 1071 PetscCall(MatGetRowUpperTriangular(Y)); 1072 PetscCall(PetscMalloc1(Y->rmap->N, &nnz)); 1073 PetscCall(MatCreate(PetscObjectComm((PetscObject)Y), &B)); 1074 PetscCall(PetscObjectSetName((PetscObject)B, ((PetscObject)Y)->name)); 1075 PetscCall(MatSetSizes(B, Y->rmap->n, Y->cmap->n, Y->rmap->N, Y->cmap->N)); 1076 PetscCall(MatSetBlockSizesFromMats(B, Y, Y)); 1077 PetscCall(MatSetType(B, ((PetscObject)Y)->type_name)); 1078 PetscCall(MatAXPYGetPreallocation_SeqSBAIJ(Y, X, nnz)); 1079 PetscCall(MatSeqSBAIJSetPreallocation(B, bs, 0, nnz)); 1080 1081 PetscCall(MatAXPY_BasicWithPreallocation(B, Y, a, X, str)); 1082 1083 PetscCall(MatHeaderMerge(Y, &B)); 1084 PetscCall(PetscFree(nnz)); 1085 PetscCall(MatRestoreRowUpperTriangular(X)); 1086 PetscCall(MatRestoreRowUpperTriangular(Y)); 1087 } 1088 PetscFunctionReturn(PETSC_SUCCESS); 1089 } 1090 1091 static PetscErrorCode MatIsStructurallySymmetric_SeqSBAIJ(Mat A, PetscBool *flg) 1092 { 1093 PetscFunctionBegin; 1094 *flg = PETSC_TRUE; 1095 PetscFunctionReturn(PETSC_SUCCESS); 1096 } 1097 1098 static PetscErrorCode MatConjugate_SeqSBAIJ(Mat A) 1099 { 1100 #if defined(PETSC_USE_COMPLEX) 1101 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 1102 PetscInt i, nz = a->bs2 * a->i[a->mbs]; 1103 MatScalar *aa = a->a; 1104 1105 PetscFunctionBegin; 1106 for (i = 0; i < nz; i++) aa[i] = PetscConj(aa[i]); 1107 #else 1108 PetscFunctionBegin; 1109 #endif 1110 PetscFunctionReturn(PETSC_SUCCESS); 1111 } 1112 1113 static PetscErrorCode MatRealPart_SeqSBAIJ(Mat A) 1114 { 1115 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 1116 PetscInt i, nz = a->bs2 * a->i[a->mbs]; 1117 MatScalar *aa = a->a; 1118 1119 PetscFunctionBegin; 1120 for (i = 0; i < nz; i++) aa[i] = PetscRealPart(aa[i]); 1121 PetscFunctionReturn(PETSC_SUCCESS); 1122 } 1123 1124 static PetscErrorCode MatImaginaryPart_SeqSBAIJ(Mat A) 1125 { 1126 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 1127 PetscInt i, nz = a->bs2 * a->i[a->mbs]; 1128 MatScalar *aa = a->a; 1129 1130 PetscFunctionBegin; 1131 for (i = 0; i < nz; i++) aa[i] = PetscImaginaryPart(aa[i]); 1132 PetscFunctionReturn(PETSC_SUCCESS); 1133 } 1134 1135 static PetscErrorCode MatZeroRowsColumns_SeqSBAIJ(Mat A, PetscInt is_n, const PetscInt is_idx[], PetscScalar diag, Vec x, Vec b) 1136 { 1137 Mat_SeqSBAIJ *baij = (Mat_SeqSBAIJ *)A->data; 1138 PetscInt i, j, k, count; 1139 PetscInt bs = A->rmap->bs, bs2 = baij->bs2, row, col; 1140 PetscScalar zero = 0.0; 1141 MatScalar *aa; 1142 const PetscScalar *xx; 1143 PetscScalar *bb; 1144 PetscBool *zeroed, vecs = PETSC_FALSE; 1145 1146 PetscFunctionBegin; 1147 /* fix right-hand side if needed */ 1148 if (x && b) { 1149 PetscCall(VecGetArrayRead(x, &xx)); 1150 PetscCall(VecGetArray(b, &bb)); 1151 vecs = PETSC_TRUE; 1152 } 1153 1154 /* zero the columns */ 1155 PetscCall(PetscCalloc1(A->rmap->n, &zeroed)); 1156 for (i = 0; i < is_n; i++) { 1157 PetscCheck(is_idx[i] >= 0 && is_idx[i] < A->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "row %" PetscInt_FMT " out of range", is_idx[i]); 1158 zeroed[is_idx[i]] = PETSC_TRUE; 1159 } 1160 if (vecs) { 1161 for (i = 0; i < A->rmap->N; i++) { 1162 row = i / bs; 1163 for (j = baij->i[row]; j < baij->i[row + 1]; j++) { 1164 for (k = 0; k < bs; k++) { 1165 col = bs * baij->j[j] + k; 1166 if (col <= i) continue; 1167 aa = ((MatScalar *)baij->a) + j * bs2 + (i % bs) + bs * k; 1168 if (!zeroed[i] && zeroed[col]) bb[i] -= aa[0] * xx[col]; 1169 if (zeroed[i] && !zeroed[col]) bb[col] -= aa[0] * xx[i]; 1170 } 1171 } 1172 } 1173 for (i = 0; i < is_n; i++) bb[is_idx[i]] = diag * xx[is_idx[i]]; 1174 } 1175 1176 for (i = 0; i < A->rmap->N; i++) { 1177 if (!zeroed[i]) { 1178 row = i / bs; 1179 for (j = baij->i[row]; j < baij->i[row + 1]; j++) { 1180 for (k = 0; k < bs; k++) { 1181 col = bs * baij->j[j] + k; 1182 if (zeroed[col]) { 1183 aa = ((MatScalar *)baij->a) + j * bs2 + (i % bs) + bs * k; 1184 aa[0] = 0.0; 1185 } 1186 } 1187 } 1188 } 1189 } 1190 PetscCall(PetscFree(zeroed)); 1191 if (vecs) { 1192 PetscCall(VecRestoreArrayRead(x, &xx)); 1193 PetscCall(VecRestoreArray(b, &bb)); 1194 } 1195 1196 /* zero the rows */ 1197 for (i = 0; i < is_n; i++) { 1198 row = is_idx[i]; 1199 count = (baij->i[row / bs + 1] - baij->i[row / bs]) * bs; 1200 aa = ((MatScalar *)baij->a) + baij->i[row / bs] * bs2 + (row % bs); 1201 for (k = 0; k < count; k++) { 1202 aa[0] = zero; 1203 aa += bs; 1204 } 1205 if (diag != 0.0) PetscUseTypeMethod(A, setvalues, 1, &row, 1, &row, &diag, INSERT_VALUES); 1206 } 1207 PetscCall(MatAssemblyEnd_SeqSBAIJ(A, MAT_FINAL_ASSEMBLY)); 1208 PetscFunctionReturn(PETSC_SUCCESS); 1209 } 1210 1211 static PetscErrorCode MatShift_SeqSBAIJ(Mat Y, PetscScalar a) 1212 { 1213 Mat_SeqSBAIJ *aij = (Mat_SeqSBAIJ *)Y->data; 1214 1215 PetscFunctionBegin; 1216 if (!Y->preallocated || !aij->nz) PetscCall(MatSeqSBAIJSetPreallocation(Y, Y->rmap->bs, 1, NULL)); 1217 PetscCall(MatShift_Basic(Y, a)); 1218 PetscFunctionReturn(PETSC_SUCCESS); 1219 } 1220 1221 PetscErrorCode MatEliminateZeros_SeqSBAIJ(Mat A, PetscBool keep) 1222 { 1223 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)A->data; 1224 PetscInt fshift = 0, fshift_prev = 0, i, *ai = a->i, *aj = a->j, *imax = a->imax, j, k; 1225 PetscInt m = A->rmap->N, *ailen = a->ilen; 1226 PetscInt mbs = a->mbs, bs2 = a->bs2, rmax = 0; 1227 MatScalar *aa = a->a, *ap; 1228 PetscBool zero; 1229 1230 PetscFunctionBegin; 1231 PetscCheck(A->assembled, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Cannot eliminate zeros for unassembled matrix"); 1232 if (m) rmax = ailen[0]; 1233 for (i = 1; i <= mbs; i++) { 1234 for (k = ai[i - 1]; k < ai[i]; k++) { 1235 zero = PETSC_TRUE; 1236 ap = aa + bs2 * k; 1237 for (j = 0; j < bs2 && zero; j++) { 1238 if (ap[j] != 0.0) zero = PETSC_FALSE; 1239 } 1240 if (zero && (aj[k] != i - 1 || !keep)) fshift++; 1241 else { 1242 if (zero && aj[k] == i - 1) PetscCall(PetscInfo(A, "Keep the diagonal block at row %" PetscInt_FMT "\n", i - 1)); 1243 aj[k - fshift] = aj[k]; 1244 PetscCall(PetscArraymove(ap - bs2 * fshift, ap, bs2)); 1245 } 1246 } 1247 ai[i - 1] -= fshift_prev; 1248 fshift_prev = fshift; 1249 ailen[i - 1] = imax[i - 1] = ai[i] - fshift - ai[i - 1]; 1250 a->nonzerorowcnt += ((ai[i] - fshift - ai[i - 1]) > 0); 1251 rmax = PetscMax(rmax, ailen[i - 1]); 1252 } 1253 if (fshift) { 1254 if (mbs) { 1255 ai[mbs] -= fshift; 1256 a->nz = ai[mbs]; 1257 } 1258 PetscCall(PetscInfo(A, "Matrix size: %" PetscInt_FMT " X %" PetscInt_FMT "; zeros eliminated: %" PetscInt_FMT "; nonzeros left: %" PetscInt_FMT "\n", m, A->cmap->n, fshift, a->nz)); 1259 A->nonzerostate++; 1260 A->info.nz_unneeded += (PetscReal)fshift; 1261 a->rmax = rmax; 1262 PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY)); 1263 PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY)); 1264 } 1265 PetscFunctionReturn(PETSC_SUCCESS); 1266 } 1267 1268 static struct _MatOps MatOps_Values = {MatSetValues_SeqSBAIJ, 1269 MatGetRow_SeqSBAIJ, 1270 MatRestoreRow_SeqSBAIJ, 1271 MatMult_SeqSBAIJ_N, 1272 /* 4*/ MatMultAdd_SeqSBAIJ_N, 1273 MatMult_SeqSBAIJ_N, /* transpose versions are same as non-transpose versions */ 1274 MatMultAdd_SeqSBAIJ_N, 1275 NULL, 1276 NULL, 1277 NULL, 1278 /* 10*/ NULL, 1279 NULL, 1280 MatCholeskyFactor_SeqSBAIJ, 1281 MatSOR_SeqSBAIJ, 1282 MatTranspose_SeqSBAIJ, 1283 /* 15*/ MatGetInfo_SeqSBAIJ, 1284 MatEqual_SeqSBAIJ, 1285 MatGetDiagonal_SeqSBAIJ, 1286 MatDiagonalScale_SeqSBAIJ, 1287 MatNorm_SeqSBAIJ, 1288 /* 20*/ NULL, 1289 MatAssemblyEnd_SeqSBAIJ, 1290 MatSetOption_SeqSBAIJ, 1291 MatZeroEntries_SeqSBAIJ, 1292 /* 24*/ NULL, 1293 NULL, 1294 NULL, 1295 NULL, 1296 NULL, 1297 /* 29*/ MatSetUp_Seq_Hash, 1298 NULL, 1299 NULL, 1300 NULL, 1301 NULL, 1302 /* 34*/ MatDuplicate_SeqSBAIJ, 1303 NULL, 1304 NULL, 1305 NULL, 1306 MatICCFactor_SeqSBAIJ, 1307 /* 39*/ MatAXPY_SeqSBAIJ, 1308 MatCreateSubMatrices_SeqSBAIJ, 1309 MatIncreaseOverlap_SeqSBAIJ, 1310 MatGetValues_SeqSBAIJ, 1311 MatCopy_SeqSBAIJ, 1312 /* 44*/ NULL, 1313 MatScale_SeqSBAIJ, 1314 MatShift_SeqSBAIJ, 1315 NULL, 1316 MatZeroRowsColumns_SeqSBAIJ, 1317 /* 49*/ NULL, 1318 MatGetRowIJ_SeqSBAIJ, 1319 MatRestoreRowIJ_SeqSBAIJ, 1320 NULL, 1321 NULL, 1322 /* 54*/ NULL, 1323 NULL, 1324 NULL, 1325 MatPermute_SeqSBAIJ, 1326 MatSetValuesBlocked_SeqSBAIJ, 1327 /* 59*/ MatCreateSubMatrix_SeqSBAIJ, 1328 NULL, 1329 NULL, 1330 NULL, 1331 NULL, 1332 /* 64*/ NULL, 1333 NULL, 1334 NULL, 1335 NULL, 1336 NULL, 1337 /* 69*/ MatGetRowMaxAbs_SeqSBAIJ, 1338 NULL, 1339 MatConvert_MPISBAIJ_Basic, 1340 NULL, 1341 NULL, 1342 /* 74*/ NULL, 1343 NULL, 1344 NULL, 1345 NULL, 1346 NULL, 1347 /* 79*/ NULL, 1348 NULL, 1349 NULL, 1350 MatGetInertia_SeqSBAIJ, 1351 MatLoad_SeqSBAIJ, 1352 /* 84*/ NULL, 1353 NULL, 1354 MatIsStructurallySymmetric_SeqSBAIJ, 1355 NULL, 1356 NULL, 1357 /* 89*/ NULL, 1358 NULL, 1359 NULL, 1360 NULL, 1361 NULL, 1362 /* 94*/ NULL, 1363 NULL, 1364 NULL, 1365 NULL, 1366 NULL, 1367 /* 99*/ NULL, 1368 NULL, 1369 NULL, 1370 MatConjugate_SeqSBAIJ, 1371 NULL, 1372 /*104*/ NULL, 1373 MatRealPart_SeqSBAIJ, 1374 MatImaginaryPart_SeqSBAIJ, 1375 MatGetRowUpperTriangular_SeqSBAIJ, 1376 MatRestoreRowUpperTriangular_SeqSBAIJ, 1377 /*109*/ NULL, 1378 NULL, 1379 NULL, 1380 NULL, 1381 MatMissingDiagonal_SeqSBAIJ, 1382 /*114*/ NULL, 1383 NULL, 1384 NULL, 1385 NULL, 1386 NULL, 1387 /*119*/ NULL, 1388 NULL, 1389 NULL, 1390 NULL, 1391 NULL, 1392 /*124*/ NULL, 1393 NULL, 1394 NULL, 1395 NULL, 1396 NULL, 1397 /*129*/ NULL, 1398 NULL, 1399 NULL, 1400 NULL, 1401 NULL, 1402 /*134*/ NULL, 1403 NULL, 1404 NULL, 1405 NULL, 1406 NULL, 1407 /*139*/ MatSetBlockSizes_Default, 1408 NULL, 1409 NULL, 1410 NULL, 1411 NULL, 1412 /*144*/ MatCreateMPIMatConcatenateSeqMat_SeqSBAIJ, 1413 NULL, 1414 NULL, 1415 NULL, 1416 NULL, 1417 NULL, 1418 /*150*/ NULL, 1419 MatEliminateZeros_SeqSBAIJ, 1420 NULL, 1421 NULL}; 1422 1423 static PetscErrorCode MatStoreValues_SeqSBAIJ(Mat mat) 1424 { 1425 Mat_SeqSBAIJ *aij = (Mat_SeqSBAIJ *)mat->data; 1426 PetscInt nz = aij->i[mat->rmap->N] * mat->rmap->bs * aij->bs2; 1427 1428 PetscFunctionBegin; 1429 PetscCheck(aij->nonew == 1, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Must call MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);first"); 1430 1431 /* allocate space for values if not already there */ 1432 if (!aij->saved_values) PetscCall(PetscMalloc1(nz + 1, &aij->saved_values)); 1433 1434 /* copy values over */ 1435 PetscCall(PetscArraycpy(aij->saved_values, aij->a, nz)); 1436 PetscFunctionReturn(PETSC_SUCCESS); 1437 } 1438 1439 static PetscErrorCode MatRetrieveValues_SeqSBAIJ(Mat mat) 1440 { 1441 Mat_SeqSBAIJ *aij = (Mat_SeqSBAIJ *)mat->data; 1442 PetscInt nz = aij->i[mat->rmap->N] * mat->rmap->bs * aij->bs2; 1443 1444 PetscFunctionBegin; 1445 PetscCheck(aij->nonew == 1, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Must call MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);first"); 1446 PetscCheck(aij->saved_values, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Must call MatStoreValues(A);first"); 1447 1448 /* copy values over */ 1449 PetscCall(PetscArraycpy(aij->a, aij->saved_values, nz)); 1450 PetscFunctionReturn(PETSC_SUCCESS); 1451 } 1452 1453 static PetscErrorCode MatSeqSBAIJSetPreallocation_SeqSBAIJ(Mat B, PetscInt bs, PetscInt nz, const PetscInt nnz[]) 1454 { 1455 Mat_SeqSBAIJ *b = (Mat_SeqSBAIJ *)B->data; 1456 PetscInt i, mbs, nbs, bs2; 1457 PetscBool skipallocation = PETSC_FALSE, flg = PETSC_FALSE, realalloc = PETSC_FALSE; 1458 1459 PetscFunctionBegin; 1460 if (B->hash_active) { 1461 PetscInt bs; 1462 B->ops[0] = b->cops; 1463 PetscCall(PetscHMapIJVDestroy(&b->ht)); 1464 PetscCall(MatGetBlockSize(B, &bs)); 1465 if (bs > 1) PetscCall(PetscHSetIJDestroy(&b->bht)); 1466 PetscCall(PetscFree(b->dnz)); 1467 PetscCall(PetscFree(b->bdnz)); 1468 B->hash_active = PETSC_FALSE; 1469 } 1470 if (nz >= 0 || nnz) realalloc = PETSC_TRUE; 1471 1472 PetscCall(MatSetBlockSize(B, PetscAbs(bs))); 1473 PetscCall(PetscLayoutSetUp(B->rmap)); 1474 PetscCall(PetscLayoutSetUp(B->cmap)); 1475 PetscCheck(B->rmap->N <= B->cmap->N, PETSC_COMM_SELF, PETSC_ERR_SUP, "SEQSBAIJ matrix cannot have more rows %" PetscInt_FMT " than columns %" PetscInt_FMT, B->rmap->N, B->cmap->N); 1476 PetscCall(PetscLayoutGetBlockSize(B->rmap, &bs)); 1477 1478 B->preallocated = PETSC_TRUE; 1479 1480 mbs = B->rmap->N / bs; 1481 nbs = B->cmap->n / bs; 1482 bs2 = bs * bs; 1483 1484 PetscCheck(mbs * bs == B->rmap->N && nbs * bs == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Number rows, cols must be divisible by blocksize"); 1485 1486 if (nz == MAT_SKIP_ALLOCATION) { 1487 skipallocation = PETSC_TRUE; 1488 nz = 0; 1489 } 1490 1491 if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 3; 1492 PetscCheck(nz >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "nz cannot be less than 0: value %" PetscInt_FMT, nz); 1493 if (nnz) { 1494 for (i = 0; i < mbs; i++) { 1495 PetscCheck(nnz[i] >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "nnz cannot be less than 0: local row %" PetscInt_FMT " value %" PetscInt_FMT, i, nnz[i]); 1496 PetscCheck(nnz[i] <= nbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "nnz cannot be greater than block row length: local row %" PetscInt_FMT " value %" PetscInt_FMT " block rowlength %" PetscInt_FMT, i, nnz[i], nbs); 1497 } 1498 } 1499 1500 B->ops->mult = MatMult_SeqSBAIJ_N; 1501 B->ops->multadd = MatMultAdd_SeqSBAIJ_N; 1502 B->ops->multtranspose = MatMult_SeqSBAIJ_N; 1503 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_N; 1504 1505 PetscCall(PetscOptionsGetBool(((PetscObject)B)->options, ((PetscObject)B)->prefix, "-mat_no_unroll", &flg, NULL)); 1506 if (!flg) { 1507 switch (bs) { 1508 case 1: 1509 B->ops->mult = MatMult_SeqSBAIJ_1; 1510 B->ops->multadd = MatMultAdd_SeqSBAIJ_1; 1511 B->ops->multtranspose = MatMult_SeqSBAIJ_1; 1512 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_1; 1513 break; 1514 case 2: 1515 B->ops->mult = MatMult_SeqSBAIJ_2; 1516 B->ops->multadd = MatMultAdd_SeqSBAIJ_2; 1517 B->ops->multtranspose = MatMult_SeqSBAIJ_2; 1518 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_2; 1519 break; 1520 case 3: 1521 B->ops->mult = MatMult_SeqSBAIJ_3; 1522 B->ops->multadd = MatMultAdd_SeqSBAIJ_3; 1523 B->ops->multtranspose = MatMult_SeqSBAIJ_3; 1524 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_3; 1525 break; 1526 case 4: 1527 B->ops->mult = MatMult_SeqSBAIJ_4; 1528 B->ops->multadd = MatMultAdd_SeqSBAIJ_4; 1529 B->ops->multtranspose = MatMult_SeqSBAIJ_4; 1530 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_4; 1531 break; 1532 case 5: 1533 B->ops->mult = MatMult_SeqSBAIJ_5; 1534 B->ops->multadd = MatMultAdd_SeqSBAIJ_5; 1535 B->ops->multtranspose = MatMult_SeqSBAIJ_5; 1536 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_5; 1537 break; 1538 case 6: 1539 B->ops->mult = MatMult_SeqSBAIJ_6; 1540 B->ops->multadd = MatMultAdd_SeqSBAIJ_6; 1541 B->ops->multtranspose = MatMult_SeqSBAIJ_6; 1542 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_6; 1543 break; 1544 case 7: 1545 B->ops->mult = MatMult_SeqSBAIJ_7; 1546 B->ops->multadd = MatMultAdd_SeqSBAIJ_7; 1547 B->ops->multtranspose = MatMult_SeqSBAIJ_7; 1548 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_7; 1549 break; 1550 } 1551 } 1552 1553 b->mbs = mbs; 1554 b->nbs = nbs; 1555 if (!skipallocation) { 1556 if (!b->imax) { 1557 PetscCall(PetscMalloc2(mbs, &b->imax, mbs, &b->ilen)); 1558 1559 b->free_imax_ilen = PETSC_TRUE; 1560 } 1561 if (!nnz) { 1562 if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 5; 1563 else if (nz <= 0) nz = 1; 1564 nz = PetscMin(nbs, nz); 1565 for (i = 0; i < mbs; i++) b->imax[i] = nz; 1566 PetscCall(PetscIntMultError(nz, mbs, &nz)); 1567 } else { 1568 PetscInt64 nz64 = 0; 1569 for (i = 0; i < mbs; i++) { 1570 b->imax[i] = nnz[i]; 1571 nz64 += nnz[i]; 1572 } 1573 PetscCall(PetscIntCast(nz64, &nz)); 1574 } 1575 /* b->ilen will count nonzeros in each block row so far. */ 1576 for (i = 0; i < mbs; i++) b->ilen[i] = 0; 1577 /* nz=(nz+mbs)/2; */ /* total diagonal and superdiagonal nonzero blocks */ 1578 1579 /* allocate the matrix space */ 1580 PetscCall(MatSeqXAIJFreeAIJ(B, &b->a, &b->j, &b->i)); 1581 PetscCall(PetscShmgetAllocateArray(bs2 * nz, sizeof(PetscScalar), (void **)&b->a)); 1582 PetscCall(PetscShmgetAllocateArray(nz, sizeof(PetscInt), (void **)&b->j)); 1583 PetscCall(PetscShmgetAllocateArray(B->rmap->n + 1, sizeof(PetscInt), (void **)&b->i)); 1584 b->free_a = PETSC_TRUE; 1585 b->free_ij = PETSC_TRUE; 1586 PetscCall(PetscArrayzero(b->a, nz * bs2)); 1587 PetscCall(PetscArrayzero(b->j, nz)); 1588 b->free_a = PETSC_TRUE; 1589 b->free_ij = PETSC_TRUE; 1590 1591 /* pointer to beginning of each row */ 1592 b->i[0] = 0; 1593 for (i = 1; i < mbs + 1; i++) b->i[i] = b->i[i - 1] + b->imax[i - 1]; 1594 1595 } else { 1596 b->free_a = PETSC_FALSE; 1597 b->free_ij = PETSC_FALSE; 1598 } 1599 1600 b->bs2 = bs2; 1601 b->nz = 0; 1602 b->maxnz = nz; 1603 b->inew = NULL; 1604 b->jnew = NULL; 1605 b->anew = NULL; 1606 b->a2anew = NULL; 1607 b->permute = PETSC_FALSE; 1608 1609 B->was_assembled = PETSC_FALSE; 1610 B->assembled = PETSC_FALSE; 1611 if (realalloc) PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_TRUE)); 1612 PetscFunctionReturn(PETSC_SUCCESS); 1613 } 1614 1615 static PetscErrorCode MatSeqSBAIJSetPreallocationCSR_SeqSBAIJ(Mat B, PetscInt bs, const PetscInt ii[], const PetscInt jj[], const PetscScalar V[]) 1616 { 1617 PetscInt i, j, m, nz, anz, nz_max = 0, *nnz; 1618 PetscScalar *values = NULL; 1619 Mat_SeqSBAIJ *b = (Mat_SeqSBAIJ *)B->data; 1620 PetscBool roworiented = b->roworiented; 1621 PetscBool ilw = b->ignore_ltriangular; 1622 1623 PetscFunctionBegin; 1624 PetscCheck(bs >= 1, PetscObjectComm((PetscObject)B), PETSC_ERR_ARG_OUTOFRANGE, "Invalid block size specified, must be positive but it is %" PetscInt_FMT, bs); 1625 PetscCall(PetscLayoutSetBlockSize(B->rmap, bs)); 1626 PetscCall(PetscLayoutSetBlockSize(B->cmap, bs)); 1627 PetscCall(PetscLayoutSetUp(B->rmap)); 1628 PetscCall(PetscLayoutSetUp(B->cmap)); 1629 PetscCall(PetscLayoutGetBlockSize(B->rmap, &bs)); 1630 m = B->rmap->n / bs; 1631 1632 PetscCheck(!ii[0], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "ii[0] must be 0 but it is %" PetscInt_FMT, ii[0]); 1633 PetscCall(PetscMalloc1(m + 1, &nnz)); 1634 for (i = 0; i < m; i++) { 1635 nz = ii[i + 1] - ii[i]; 1636 PetscCheck(nz >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row %" PetscInt_FMT " has a negative number of columns %" PetscInt_FMT, i, nz); 1637 PetscCheckSorted(nz, jj + ii[i]); 1638 anz = 0; 1639 for (j = 0; j < nz; j++) { 1640 /* count only values on the diagonal or above */ 1641 if (jj[ii[i] + j] >= i) { 1642 anz = nz - j; 1643 break; 1644 } 1645 } 1646 nz_max = PetscMax(nz_max, nz); 1647 nnz[i] = anz; 1648 } 1649 PetscCall(MatSeqSBAIJSetPreallocation(B, bs, 0, nnz)); 1650 PetscCall(PetscFree(nnz)); 1651 1652 values = (PetscScalar *)V; 1653 if (!values) PetscCall(PetscCalloc1(bs * bs * nz_max, &values)); 1654 b->ignore_ltriangular = PETSC_TRUE; 1655 for (i = 0; i < m; i++) { 1656 PetscInt ncols = ii[i + 1] - ii[i]; 1657 const PetscInt *icols = jj + ii[i]; 1658 1659 if (!roworiented || bs == 1) { 1660 const PetscScalar *svals = values + (V ? (bs * bs * ii[i]) : 0); 1661 PetscCall(MatSetValuesBlocked_SeqSBAIJ(B, 1, &i, ncols, icols, svals, INSERT_VALUES)); 1662 } else { 1663 for (j = 0; j < ncols; j++) { 1664 const PetscScalar *svals = values + (V ? (bs * bs * (ii[i] + j)) : 0); 1665 PetscCall(MatSetValuesBlocked_SeqSBAIJ(B, 1, &i, 1, &icols[j], svals, INSERT_VALUES)); 1666 } 1667 } 1668 } 1669 if (!V) PetscCall(PetscFree(values)); 1670 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 1671 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 1672 PetscCall(MatSetOption(B, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE)); 1673 b->ignore_ltriangular = ilw; 1674 PetscFunctionReturn(PETSC_SUCCESS); 1675 } 1676 1677 /* 1678 This is used to set the numeric factorization for both Cholesky and ICC symbolic factorization 1679 */ 1680 PetscErrorCode MatSeqSBAIJSetNumericFactorization_inplace(Mat B, PetscBool natural) 1681 { 1682 PetscBool flg = PETSC_FALSE; 1683 PetscInt bs = B->rmap->bs; 1684 1685 PetscFunctionBegin; 1686 PetscCall(PetscOptionsGetBool(((PetscObject)B)->options, ((PetscObject)B)->prefix, "-mat_no_unroll", &flg, NULL)); 1687 if (flg) bs = 8; 1688 1689 if (!natural) { 1690 switch (bs) { 1691 case 1: 1692 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_1_inplace; 1693 break; 1694 case 2: 1695 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_2; 1696 break; 1697 case 3: 1698 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_3; 1699 break; 1700 case 4: 1701 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_4; 1702 break; 1703 case 5: 1704 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_5; 1705 break; 1706 case 6: 1707 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_6; 1708 break; 1709 case 7: 1710 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_7; 1711 break; 1712 default: 1713 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_N; 1714 break; 1715 } 1716 } else { 1717 switch (bs) { 1718 case 1: 1719 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_1_NaturalOrdering_inplace; 1720 break; 1721 case 2: 1722 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_2_NaturalOrdering; 1723 break; 1724 case 3: 1725 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_3_NaturalOrdering; 1726 break; 1727 case 4: 1728 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_4_NaturalOrdering; 1729 break; 1730 case 5: 1731 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_5_NaturalOrdering; 1732 break; 1733 case 6: 1734 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_6_NaturalOrdering; 1735 break; 1736 case 7: 1737 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_7_NaturalOrdering; 1738 break; 1739 default: 1740 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_N_NaturalOrdering; 1741 break; 1742 } 1743 } 1744 PetscFunctionReturn(PETSC_SUCCESS); 1745 } 1746 1747 PETSC_INTERN PetscErrorCode MatConvert_SeqSBAIJ_SeqAIJ(Mat, MatType, MatReuse, Mat *); 1748 PETSC_INTERN PetscErrorCode MatConvert_SeqSBAIJ_SeqBAIJ(Mat, MatType, MatReuse, Mat *); 1749 static PetscErrorCode MatFactorGetSolverType_petsc(Mat A, MatSolverType *type) 1750 { 1751 PetscFunctionBegin; 1752 *type = MATSOLVERPETSC; 1753 PetscFunctionReturn(PETSC_SUCCESS); 1754 } 1755 1756 PETSC_INTERN PetscErrorCode MatGetFactor_seqsbaij_petsc(Mat A, MatFactorType ftype, Mat *B) 1757 { 1758 PetscInt n = A->rmap->n; 1759 1760 PetscFunctionBegin; 1761 #if defined(PETSC_USE_COMPLEX) 1762 if ((ftype == MAT_FACTOR_CHOLESKY || ftype == MAT_FACTOR_ICC) && A->hermitian == PETSC_BOOL3_TRUE && A->symmetric != PETSC_BOOL3_TRUE) { 1763 PetscCall(PetscInfo(A, "Hermitian MAT_FACTOR_CHOLESKY or MAT_FACTOR_ICC are not supported. Use MAT_FACTOR_LU instead.\n")); 1764 *B = NULL; 1765 PetscFunctionReturn(PETSC_SUCCESS); 1766 } 1767 #endif 1768 1769 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), B)); 1770 PetscCall(MatSetSizes(*B, n, n, n, n)); 1771 if (ftype == MAT_FACTOR_CHOLESKY || ftype == MAT_FACTOR_ICC) { 1772 PetscCall(MatSetType(*B, MATSEQSBAIJ)); 1773 PetscCall(MatSeqSBAIJSetPreallocation(*B, A->rmap->bs, MAT_SKIP_ALLOCATION, NULL)); 1774 1775 (*B)->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SeqSBAIJ; 1776 (*B)->ops->iccfactorsymbolic = MatICCFactorSymbolic_SeqSBAIJ; 1777 PetscCall(PetscStrallocpy(MATORDERINGNATURAL, (char **)&(*B)->preferredordering[MAT_FACTOR_CHOLESKY])); 1778 PetscCall(PetscStrallocpy(MATORDERINGNATURAL, (char **)&(*B)->preferredordering[MAT_FACTOR_ICC])); 1779 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Factor type not supported"); 1780 1781 (*B)->factortype = ftype; 1782 (*B)->canuseordering = PETSC_TRUE; 1783 PetscCall(PetscFree((*B)->solvertype)); 1784 PetscCall(PetscStrallocpy(MATSOLVERPETSC, &(*B)->solvertype)); 1785 PetscCall(PetscObjectComposeFunction((PetscObject)*B, "MatFactorGetSolverType_C", MatFactorGetSolverType_petsc)); 1786 PetscFunctionReturn(PETSC_SUCCESS); 1787 } 1788 1789 /*@C 1790 MatSeqSBAIJGetArray - gives access to the array where the numerical data for a `MATSEQSBAIJ` matrix is stored 1791 1792 Not Collective 1793 1794 Input Parameter: 1795 . A - a `MATSEQSBAIJ` matrix 1796 1797 Output Parameter: 1798 . array - pointer to the data 1799 1800 Level: intermediate 1801 1802 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MatSeqSBAIJRestoreArray()`, `MatSeqAIJGetArray()`, `MatSeqAIJRestoreArray()` 1803 @*/ 1804 PetscErrorCode MatSeqSBAIJGetArray(Mat A, PetscScalar *array[]) 1805 { 1806 PetscFunctionBegin; 1807 PetscUseMethod(A, "MatSeqSBAIJGetArray_C", (Mat, PetscScalar **), (A, array)); 1808 PetscFunctionReturn(PETSC_SUCCESS); 1809 } 1810 1811 /*@C 1812 MatSeqSBAIJRestoreArray - returns access to the array where the numerical data for a `MATSEQSBAIJ` matrix is stored obtained by `MatSeqSBAIJGetArray()` 1813 1814 Not Collective 1815 1816 Input Parameters: 1817 + A - a `MATSEQSBAIJ` matrix 1818 - array - pointer to the data 1819 1820 Level: intermediate 1821 1822 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MatSeqSBAIJGetArray()`, `MatSeqAIJGetArray()`, `MatSeqAIJRestoreArray()` 1823 @*/ 1824 PetscErrorCode MatSeqSBAIJRestoreArray(Mat A, PetscScalar *array[]) 1825 { 1826 PetscFunctionBegin; 1827 PetscUseMethod(A, "MatSeqSBAIJRestoreArray_C", (Mat, PetscScalar **), (A, array)); 1828 PetscFunctionReturn(PETSC_SUCCESS); 1829 } 1830 1831 /*MC 1832 MATSEQSBAIJ - MATSEQSBAIJ = "seqsbaij" - A matrix type to be used for sequential symmetric block sparse matrices, 1833 based on block compressed sparse row format. Only the upper triangular portion of the matrix is stored. 1834 1835 For complex numbers by default this matrix is symmetric, NOT Hermitian symmetric. To make it Hermitian symmetric you 1836 can call `MatSetOption`(`Mat`, `MAT_HERMITIAN`). 1837 1838 Options Database Key: 1839 . -mat_type seqsbaij - sets the matrix type to "seqsbaij" during a call to `MatSetFromOptions()` 1840 1841 Level: beginner 1842 1843 Notes: 1844 By default if you insert values into the lower triangular part of the matrix they are simply ignored (since they are not 1845 stored and it is assumed they symmetric to the upper triangular). If you call `MatSetOption`(`Mat`,`MAT_IGNORE_LOWER_TRIANGULAR`,`PETSC_FALSE`) or use 1846 the options database `-mat_ignore_lower_triangular` false it will generate an error if you try to set a value in the lower triangular portion. 1847 1848 The number of rows in the matrix must be less than or equal to the number of columns 1849 1850 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MatCreateSeqSBAIJ()`, `MatType`, `MATMPISBAIJ` 1851 M*/ 1852 PETSC_EXTERN PetscErrorCode MatCreate_SeqSBAIJ(Mat B) 1853 { 1854 Mat_SeqSBAIJ *b; 1855 PetscMPIInt size; 1856 PetscBool no_unroll = PETSC_FALSE, no_inode = PETSC_FALSE; 1857 1858 PetscFunctionBegin; 1859 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size)); 1860 PetscCheck(size <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Comm must be of size 1"); 1861 1862 PetscCall(PetscNew(&b)); 1863 B->data = (void *)b; 1864 B->ops[0] = MatOps_Values; 1865 1866 B->ops->destroy = MatDestroy_SeqSBAIJ; 1867 B->ops->view = MatView_SeqSBAIJ; 1868 b->row = NULL; 1869 b->icol = NULL; 1870 b->reallocs = 0; 1871 b->saved_values = NULL; 1872 b->inode.limit = 5; 1873 b->inode.max_limit = 5; 1874 1875 b->roworiented = PETSC_TRUE; 1876 b->nonew = 0; 1877 b->diag = NULL; 1878 b->solve_work = NULL; 1879 b->mult_work = NULL; 1880 B->spptr = NULL; 1881 B->info.nz_unneeded = (PetscReal)b->maxnz * b->bs2; 1882 b->keepnonzeropattern = PETSC_FALSE; 1883 1884 b->inew = NULL; 1885 b->jnew = NULL; 1886 b->anew = NULL; 1887 b->a2anew = NULL; 1888 b->permute = PETSC_FALSE; 1889 1890 b->ignore_ltriangular = PETSC_TRUE; 1891 1892 PetscCall(PetscOptionsGetBool(((PetscObject)B)->options, ((PetscObject)B)->prefix, "-mat_ignore_lower_triangular", &b->ignore_ltriangular, NULL)); 1893 1894 b->getrow_utriangular = PETSC_FALSE; 1895 1896 PetscCall(PetscOptionsGetBool(((PetscObject)B)->options, ((PetscObject)B)->prefix, "-mat_getrow_uppertriangular", &b->getrow_utriangular, NULL)); 1897 1898 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqSBAIJGetArray_C", MatSeqSBAIJGetArray_SeqSBAIJ)); 1899 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqSBAIJRestoreArray_C", MatSeqSBAIJRestoreArray_SeqSBAIJ)); 1900 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatStoreValues_C", MatStoreValues_SeqSBAIJ)); 1901 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatRetrieveValues_C", MatRetrieveValues_SeqSBAIJ)); 1902 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqSBAIJSetColumnIndices_C", MatSeqSBAIJSetColumnIndices_SeqSBAIJ)); 1903 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqsbaij_seqaij_C", MatConvert_SeqSBAIJ_SeqAIJ)); 1904 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqsbaij_seqbaij_C", MatConvert_SeqSBAIJ_SeqBAIJ)); 1905 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqSBAIJSetPreallocation_C", MatSeqSBAIJSetPreallocation_SeqSBAIJ)); 1906 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqSBAIJSetPreallocationCSR_C", MatSeqSBAIJSetPreallocationCSR_SeqSBAIJ)); 1907 #if defined(PETSC_HAVE_ELEMENTAL) 1908 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqsbaij_elemental_C", MatConvert_SeqSBAIJ_Elemental)); 1909 #endif 1910 #if defined(PETSC_HAVE_SCALAPACK) 1911 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqsbaij_scalapack_C", MatConvert_SBAIJ_ScaLAPACK)); 1912 #endif 1913 1914 B->symmetry_eternal = PETSC_TRUE; 1915 B->structural_symmetry_eternal = PETSC_TRUE; 1916 B->symmetric = PETSC_BOOL3_TRUE; 1917 B->structurally_symmetric = PETSC_BOOL3_TRUE; 1918 #if defined(PETSC_USE_COMPLEX) 1919 B->hermitian = PETSC_BOOL3_FALSE; 1920 #else 1921 B->hermitian = PETSC_BOOL3_TRUE; 1922 #endif 1923 1924 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQSBAIJ)); 1925 1926 PetscOptionsBegin(PetscObjectComm((PetscObject)B), ((PetscObject)B)->prefix, "Options for SEQSBAIJ matrix", "Mat"); 1927 PetscCall(PetscOptionsBool("-mat_no_unroll", "Do not optimize for inodes (slower)", NULL, no_unroll, &no_unroll, NULL)); 1928 if (no_unroll) PetscCall(PetscInfo(B, "Not using Inode routines due to -mat_no_unroll\n")); 1929 PetscCall(PetscOptionsBool("-mat_no_inode", "Do not optimize for inodes (slower)", NULL, no_inode, &no_inode, NULL)); 1930 if (no_inode) PetscCall(PetscInfo(B, "Not using Inode routines due to -mat_no_inode\n")); 1931 PetscCall(PetscOptionsInt("-mat_inode_limit", "Do not use inodes larger then this value", NULL, b->inode.limit, &b->inode.limit, NULL)); 1932 PetscOptionsEnd(); 1933 b->inode.use = (PetscBool)(!(no_unroll || no_inode)); 1934 if (b->inode.limit > b->inode.max_limit) b->inode.limit = b->inode.max_limit; 1935 PetscFunctionReturn(PETSC_SUCCESS); 1936 } 1937 1938 /*@ 1939 MatSeqSBAIJSetPreallocation - Creates a sparse symmetric matrix in block AIJ (block 1940 compressed row) `MATSEQSBAIJ` format. For good matrix assembly performance the 1941 user should preallocate the matrix storage by setting the parameter `nz` 1942 (or the array `nnz`). 1943 1944 Collective 1945 1946 Input Parameters: 1947 + B - the symmetric matrix 1948 . bs - size of block, the blocks are ALWAYS square. One can use `MatSetBlockSizes()` to set a different row and column blocksize but the row 1949 blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with `MatCreateVecs()` 1950 . nz - number of block nonzeros per block row (same for all rows) 1951 - nnz - array containing the number of block nonzeros in the upper triangular plus 1952 diagonal portion of each block (possibly different for each block row) or `NULL` 1953 1954 Options Database Keys: 1955 + -mat_no_unroll - uses code that does not unroll the loops in the block calculations (much slower) 1956 - -mat_block_size - size of the blocks to use (only works if a negative bs is passed in 1957 1958 Level: intermediate 1959 1960 Notes: 1961 Specify the preallocated storage with either `nz` or `nnz` (not both). 1962 Set `nz` = `PETSC_DEFAULT` and `nnz` = `NULL` for PETSc to control dynamic memory 1963 allocation. See [Sparse Matrices](sec_matsparse) for details. 1964 1965 You can call `MatGetInfo()` to get information on how effective the preallocation was; 1966 for example the fields mallocs,nz_allocated,nz_used,nz_unneeded; 1967 You can also run with the option `-info` and look for messages with the string 1968 malloc in them to see if additional memory allocation was needed. 1969 1970 If the `nnz` parameter is given then the `nz` parameter is ignored 1971 1972 .seealso: [](ch_matrices), `Mat`, [Sparse Matrices](sec_matsparse), `MATSEQSBAIJ`, `MatCreate()`, `MatCreateSeqAIJ()`, `MatSetValues()`, `MatCreateSBAIJ()` 1973 @*/ 1974 PetscErrorCode MatSeqSBAIJSetPreallocation(Mat B, PetscInt bs, PetscInt nz, const PetscInt nnz[]) 1975 { 1976 PetscFunctionBegin; 1977 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 1978 PetscValidType(B, 1); 1979 PetscValidLogicalCollectiveInt(B, bs, 2); 1980 PetscTryMethod(B, "MatSeqSBAIJSetPreallocation_C", (Mat, PetscInt, PetscInt, const PetscInt[]), (B, bs, nz, nnz)); 1981 PetscFunctionReturn(PETSC_SUCCESS); 1982 } 1983 1984 /*@C 1985 MatSeqSBAIJSetPreallocationCSR - Creates a sparse parallel matrix in `MATSEQSBAIJ` format using the given nonzero structure and (optional) numerical values 1986 1987 Input Parameters: 1988 + B - the matrix 1989 . bs - size of block, the blocks are ALWAYS square. 1990 . i - the indices into `j` for the start of each local row (indices start with zero) 1991 . j - the column indices for each local row (indices start with zero) these must be sorted for each row 1992 - v - optional values in the matrix, use `NULL` if not provided 1993 1994 Level: advanced 1995 1996 Notes: 1997 The `i`,`j`,`v` values are COPIED with this routine; to avoid the copy use `MatCreateSeqSBAIJWithArrays()` 1998 1999 The order of the entries in values is specified by the `MatOption` `MAT_ROW_ORIENTED`. For example, C programs 2000 may want to use the default `MAT_ROW_ORIENTED` = `PETSC_TRUE` and use an array v[nnz][bs][bs] where the second index is 2001 over rows within a block and the last index is over columns within a block row. Fortran programs will likely set 2002 `MAT_ROW_ORIENTED` = `PETSC_FALSE` and use a Fortran array v(bs,bs,nnz) in which the first index is over rows within a 2003 block column and the second index is over columns within a block. 2004 2005 Any entries provided that lie below the diagonal are ignored 2006 2007 Though this routine has Preallocation() in the name it also sets the exact nonzero locations of the matrix entries 2008 and usually the numerical values as well 2009 2010 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MatCreate()`, `MatCreateSeqSBAIJ()`, `MatSetValuesBlocked()`, `MatSeqSBAIJSetPreallocation()` 2011 @*/ 2012 PetscErrorCode MatSeqSBAIJSetPreallocationCSR(Mat B, PetscInt bs, const PetscInt i[], const PetscInt j[], const PetscScalar v[]) 2013 { 2014 PetscFunctionBegin; 2015 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 2016 PetscValidType(B, 1); 2017 PetscValidLogicalCollectiveInt(B, bs, 2); 2018 PetscTryMethod(B, "MatSeqSBAIJSetPreallocationCSR_C", (Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]), (B, bs, i, j, v)); 2019 PetscFunctionReturn(PETSC_SUCCESS); 2020 } 2021 2022 /*@ 2023 MatCreateSeqSBAIJ - Creates a sparse symmetric matrix in (block 2024 compressed row) `MATSEQSBAIJ` format. For good matrix assembly performance the 2025 user should preallocate the matrix storage by setting the parameter `nz` 2026 (or the array `nnz`). 2027 2028 Collective 2029 2030 Input Parameters: 2031 + comm - MPI communicator, set to `PETSC_COMM_SELF` 2032 . bs - size of block, the blocks are ALWAYS square. One can use `MatSetBlockSizes()` to set a different row and column blocksize but the row 2033 blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with MatCreateVecs() 2034 . m - number of rows 2035 . n - number of columns 2036 . nz - number of block nonzeros per block row (same for all rows) 2037 - nnz - array containing the number of block nonzeros in the upper triangular plus 2038 diagonal portion of each block (possibly different for each block row) or `NULL` 2039 2040 Output Parameter: 2041 . A - the symmetric matrix 2042 2043 Options Database Keys: 2044 + -mat_no_unroll - uses code that does not unroll the loops in the block calculations (much slower) 2045 - -mat_block_size - size of the blocks to use 2046 2047 Level: intermediate 2048 2049 Notes: 2050 It is recommended that one use `MatCreateFromOptions()` or the `MatCreate()`, `MatSetType()` and/or `MatSetFromOptions()`, 2051 MatXXXXSetPreallocation() paradigm instead of this routine directly. 2052 [MatXXXXSetPreallocation() is, for example, `MatSeqAIJSetPreallocation()`] 2053 2054 The number of rows and columns must be divisible by blocksize. 2055 This matrix type does not support complex Hermitian operation. 2056 2057 Specify the preallocated storage with either `nz` or `nnz` (not both). 2058 Set `nz` = `PETSC_DEFAULT` and `nnz` = `NULL` for PETSc to control dynamic memory 2059 allocation. See [Sparse Matrices](sec_matsparse) for details. 2060 2061 If the `nnz` parameter is given then the `nz` parameter is ignored 2062 2063 .seealso: [](ch_matrices), `Mat`, [Sparse Matrices](sec_matsparse), `MATSEQSBAIJ`, `MatCreate()`, `MatCreateSeqAIJ()`, `MatSetValues()`, `MatCreateSBAIJ()` 2064 @*/ 2065 PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt nz, const PetscInt nnz[], Mat *A) 2066 { 2067 PetscFunctionBegin; 2068 PetscCall(MatCreate(comm, A)); 2069 PetscCall(MatSetSizes(*A, m, n, m, n)); 2070 PetscCall(MatSetType(*A, MATSEQSBAIJ)); 2071 PetscCall(MatSeqSBAIJSetPreallocation(*A, bs, nz, (PetscInt *)nnz)); 2072 PetscFunctionReturn(PETSC_SUCCESS); 2073 } 2074 2075 PetscErrorCode MatDuplicate_SeqSBAIJ(Mat A, MatDuplicateOption cpvalues, Mat *B) 2076 { 2077 Mat C; 2078 Mat_SeqSBAIJ *c, *a = (Mat_SeqSBAIJ *)A->data; 2079 PetscInt i, mbs = a->mbs, nz = a->nz, bs2 = a->bs2; 2080 2081 PetscFunctionBegin; 2082 PetscCheck(A->assembled, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONGSTATE, "Cannot duplicate unassembled matrix"); 2083 PetscCheck(a->i[mbs] == nz, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Corrupt matrix"); 2084 2085 *B = NULL; 2086 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &C)); 2087 PetscCall(MatSetSizes(C, A->rmap->N, A->cmap->n, A->rmap->N, A->cmap->n)); 2088 PetscCall(MatSetBlockSizesFromMats(C, A, A)); 2089 PetscCall(MatSetType(C, MATSEQSBAIJ)); 2090 c = (Mat_SeqSBAIJ *)C->data; 2091 2092 C->preallocated = PETSC_TRUE; 2093 C->factortype = A->factortype; 2094 c->row = NULL; 2095 c->icol = NULL; 2096 c->saved_values = NULL; 2097 c->keepnonzeropattern = a->keepnonzeropattern; 2098 C->assembled = PETSC_TRUE; 2099 2100 PetscCall(PetscLayoutReference(A->rmap, &C->rmap)); 2101 PetscCall(PetscLayoutReference(A->cmap, &C->cmap)); 2102 c->bs2 = a->bs2; 2103 c->mbs = a->mbs; 2104 c->nbs = a->nbs; 2105 2106 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2107 c->imax = a->imax; 2108 c->ilen = a->ilen; 2109 c->free_imax_ilen = PETSC_FALSE; 2110 } else { 2111 PetscCall(PetscMalloc2((mbs + 1), &c->imax, (mbs + 1), &c->ilen)); 2112 for (i = 0; i < mbs; i++) { 2113 c->imax[i] = a->imax[i]; 2114 c->ilen[i] = a->ilen[i]; 2115 } 2116 c->free_imax_ilen = PETSC_TRUE; 2117 } 2118 2119 /* allocate the matrix space */ 2120 PetscCall(PetscShmgetAllocateArray(bs2 * nz, sizeof(PetscScalar), (void **)&c->a)); 2121 c->free_a = PETSC_TRUE; 2122 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2123 PetscCall(PetscArrayzero(c->a, bs2 * nz)); 2124 c->i = a->i; 2125 c->j = a->j; 2126 c->free_ij = PETSC_FALSE; 2127 c->parent = A; 2128 PetscCall(PetscObjectReference((PetscObject)A)); 2129 PetscCall(MatSetOption(A, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE)); 2130 PetscCall(MatSetOption(C, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE)); 2131 } else { 2132 PetscCall(PetscShmgetAllocateArray(nz, sizeof(PetscInt), (void **)&c->j)); 2133 PetscCall(PetscShmgetAllocateArray(mbs + 1, sizeof(PetscInt), (void **)&c->i)); 2134 PetscCall(PetscArraycpy(c->i, a->i, mbs + 1)); 2135 c->free_ij = PETSC_TRUE; 2136 } 2137 if (mbs > 0) { 2138 if (cpvalues != MAT_SHARE_NONZERO_PATTERN) PetscCall(PetscArraycpy(c->j, a->j, nz)); 2139 if (cpvalues == MAT_COPY_VALUES) { 2140 PetscCall(PetscArraycpy(c->a, a->a, bs2 * nz)); 2141 } else { 2142 PetscCall(PetscArrayzero(c->a, bs2 * nz)); 2143 } 2144 if (a->jshort) { 2145 /* cannot share jshort, it is reallocated in MatAssemblyEnd_SeqSBAIJ() */ 2146 /* if the parent matrix is reassembled, this child matrix will never notice */ 2147 PetscCall(PetscMalloc1(nz, &c->jshort)); 2148 PetscCall(PetscArraycpy(c->jshort, a->jshort, nz)); 2149 2150 c->free_jshort = PETSC_TRUE; 2151 } 2152 } 2153 2154 c->roworiented = a->roworiented; 2155 c->nonew = a->nonew; 2156 2157 if (a->diag) { 2158 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2159 c->diag = a->diag; 2160 c->free_diag = PETSC_FALSE; 2161 } else { 2162 PetscCall(PetscMalloc1(mbs, &c->diag)); 2163 for (i = 0; i < mbs; i++) c->diag[i] = a->diag[i]; 2164 c->free_diag = PETSC_TRUE; 2165 } 2166 } 2167 c->nz = a->nz; 2168 c->maxnz = a->nz; /* Since we allocate exactly the right amount */ 2169 c->solve_work = NULL; 2170 c->mult_work = NULL; 2171 2172 *B = C; 2173 PetscCall(PetscFunctionListDuplicate(((PetscObject)A)->qlist, &((PetscObject)C)->qlist)); 2174 PetscFunctionReturn(PETSC_SUCCESS); 2175 } 2176 2177 /* Used for both SeqBAIJ and SeqSBAIJ matrices */ 2178 #define MatLoad_SeqSBAIJ_Binary MatLoad_SeqBAIJ_Binary 2179 2180 PetscErrorCode MatLoad_SeqSBAIJ(Mat mat, PetscViewer viewer) 2181 { 2182 PetscBool isbinary; 2183 2184 PetscFunctionBegin; 2185 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 2186 PetscCheck(isbinary, PetscObjectComm((PetscObject)viewer), PETSC_ERR_SUP, "Viewer type %s not yet supported for reading %s matrices", ((PetscObject)viewer)->type_name, ((PetscObject)mat)->type_name); 2187 PetscCall(MatLoad_SeqSBAIJ_Binary(mat, viewer)); 2188 PetscFunctionReturn(PETSC_SUCCESS); 2189 } 2190 2191 /*@ 2192 MatCreateSeqSBAIJWithArrays - Creates an sequential `MATSEQSBAIJ` matrix using matrix elements 2193 (upper triangular entries in CSR format) provided by the user. 2194 2195 Collective 2196 2197 Input Parameters: 2198 + comm - must be an MPI communicator of size 1 2199 . bs - size of block 2200 . m - number of rows 2201 . n - number of columns 2202 . i - row indices; that is i[0] = 0, i[row] = i[row-1] + number of block elements in that row block row of the matrix 2203 . j - column indices 2204 - a - matrix values 2205 2206 Output Parameter: 2207 . mat - the matrix 2208 2209 Level: advanced 2210 2211 Notes: 2212 The `i`, `j`, and `a` arrays are not copied by this routine, the user must free these arrays 2213 once the matrix is destroyed 2214 2215 You cannot set new nonzero locations into this matrix, that will generate an error. 2216 2217 The `i` and `j` indices are 0 based 2218 2219 When block size is greater than 1 the matrix values must be stored using the `MATSBAIJ` storage format. For block size of 1 2220 it is the regular CSR format excluding the lower triangular elements. 2221 2222 .seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MatCreate()`, `MatCreateSBAIJ()`, `MatCreateSeqSBAIJ()` 2223 @*/ 2224 PetscErrorCode MatCreateSeqSBAIJWithArrays(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt i[], PetscInt j[], PetscScalar a[], Mat *mat) 2225 { 2226 PetscInt ii; 2227 Mat_SeqSBAIJ *sbaij; 2228 2229 PetscFunctionBegin; 2230 PetscCheck(bs == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "block size %" PetscInt_FMT " > 1 is not supported yet", bs); 2231 PetscCheck(m == 0 || i[0] == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "i (row indices) must start with 0"); 2232 2233 PetscCall(MatCreate(comm, mat)); 2234 PetscCall(MatSetSizes(*mat, m, n, m, n)); 2235 PetscCall(MatSetType(*mat, MATSEQSBAIJ)); 2236 PetscCall(MatSeqSBAIJSetPreallocation(*mat, bs, MAT_SKIP_ALLOCATION, NULL)); 2237 sbaij = (Mat_SeqSBAIJ *)(*mat)->data; 2238 PetscCall(PetscMalloc2(m, &sbaij->imax, m, &sbaij->ilen)); 2239 2240 sbaij->i = i; 2241 sbaij->j = j; 2242 sbaij->a = a; 2243 2244 sbaij->nonew = -1; /*this indicates that inserting a new value in the matrix that generates a new nonzero is an error*/ 2245 sbaij->free_a = PETSC_FALSE; 2246 sbaij->free_ij = PETSC_FALSE; 2247 sbaij->free_imax_ilen = PETSC_TRUE; 2248 2249 for (ii = 0; ii < m; ii++) { 2250 sbaij->ilen[ii] = sbaij->imax[ii] = i[ii + 1] - i[ii]; 2251 PetscCheck(i[ii + 1] >= i[ii], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Negative row length in i (row indices) row = %" PetscInt_FMT " length = %" PetscInt_FMT, ii, i[ii + 1] - i[ii]); 2252 } 2253 if (PetscDefined(USE_DEBUG)) { 2254 for (ii = 0; ii < sbaij->i[m]; ii++) { 2255 PetscCheck(j[ii] >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Negative column index at location = %" PetscInt_FMT " index = %" PetscInt_FMT, ii, j[ii]); 2256 PetscCheck(j[ii] < n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column index too large at location = %" PetscInt_FMT " index = %" PetscInt_FMT, ii, j[ii]); 2257 } 2258 } 2259 2260 PetscCall(MatAssemblyBegin(*mat, MAT_FINAL_ASSEMBLY)); 2261 PetscCall(MatAssemblyEnd(*mat, MAT_FINAL_ASSEMBLY)); 2262 PetscFunctionReturn(PETSC_SUCCESS); 2263 } 2264 2265 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqSBAIJ(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 2266 { 2267 PetscFunctionBegin; 2268 PetscCall(MatCreateMPIMatConcatenateSeqMat_MPISBAIJ(comm, inmat, n, scall, outmat)); 2269 PetscFunctionReturn(PETSC_SUCCESS); 2270 } 2271