1 #define PETSCMAT_DLL 2 3 /* 4 Defines the basic matrix operations for the SBAIJ (compressed row) 5 matrix storage format. 6 */ 7 #include "../src/mat/impls/baij/seq/baij.h" /*I "petscmat.h" I*/ 8 #include "../src/mat/impls/sbaij/seq/sbaij.h" 9 #include "petscblaslapack.h" 10 11 #include "../src/mat/impls/sbaij/seq/relax.h" 12 #define USESHORT 13 #include "../src/mat/impls/sbaij/seq/relax.h" 14 15 extern PetscErrorCode MatSeqSBAIJSetNumericFactorization_inplace(Mat,PetscTruth); 16 17 /* 18 Checks for missing diagonals 19 */ 20 #undef __FUNCT__ 21 #define __FUNCT__ "MatMissingDiagonal_SeqSBAIJ" 22 PetscErrorCode MatMissingDiagonal_SeqSBAIJ(Mat A,PetscTruth *missing,PetscInt *dd) 23 { 24 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 25 PetscErrorCode ierr; 26 PetscInt *diag,*jj = a->j,i; 27 28 PetscFunctionBegin; 29 ierr = MatMarkDiagonal_SeqSBAIJ(A);CHKERRQ(ierr); 30 diag = a->diag; 31 *missing = PETSC_FALSE; 32 for (i=0; i<a->mbs; i++) { 33 if (jj[diag[i]] != i) { 34 *missing = PETSC_TRUE; 35 if (dd) *dd = i; 36 break; 37 } 38 } 39 PetscFunctionReturn(0); 40 } 41 42 #undef __FUNCT__ 43 #define __FUNCT__ "MatMarkDiagonal_SeqSBAIJ" 44 PetscErrorCode MatMarkDiagonal_SeqSBAIJ(Mat A) 45 { 46 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 47 PetscErrorCode ierr; 48 PetscInt i; 49 50 PetscFunctionBegin; 51 if (!a->diag) { 52 ierr = PetscMalloc(a->mbs*sizeof(PetscInt),&a->diag);CHKERRQ(ierr); 53 ierr = PetscLogObjectMemory(A,a->mbs*sizeof(PetscInt));CHKERRQ(ierr); 54 a->free_diag = PETSC_TRUE; 55 } 56 for (i=0; i<a->mbs; i++) a->diag[i] = a->i[i]; 57 PetscFunctionReturn(0); 58 } 59 60 #undef __FUNCT__ 61 #define __FUNCT__ "MatGetRowIJ_SeqSBAIJ" 62 static PetscErrorCode MatGetRowIJ_SeqSBAIJ(Mat A,PetscInt oshift,PetscTruth symmetric,PetscTruth blockcompressed,PetscInt *nn,PetscInt *ia[],PetscInt *ja[],PetscTruth *done) 63 { 64 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 65 PetscInt i,j,n = a->mbs,nz = a->i[n],bs = A->rmap->bs; 66 PetscErrorCode ierr; 67 68 PetscFunctionBegin; 69 *nn = n; 70 if (!ia) PetscFunctionReturn(0); 71 if (!blockcompressed) { 72 /* malloc & create the natural set of indices */ 73 ierr = PetscMalloc2((n+1)*bs,PetscInt,ia,nz*bs,PetscInt,ja);CHKERRQ(ierr); 74 for (i=0; i<n+1; i++) { 75 for (j=0; j<bs; j++) { 76 *ia[i*bs+j] = a->i[i]*bs+j+oshift; 77 } 78 } 79 for (i=0; i<nz; i++) { 80 for (j=0; j<bs; j++) { 81 *ja[i*bs+j] = a->j[i]*bs+j+oshift; 82 } 83 } 84 } else { /* blockcompressed */ 85 if (oshift == 1) { 86 /* temporarily add 1 to i and j indices */ 87 for (i=0; i<nz; i++) a->j[i]++; 88 for (i=0; i<n+1; i++) a->i[i]++; 89 } 90 *ia = a->i; *ja = a->j; 91 } 92 93 PetscFunctionReturn(0); 94 } 95 96 #undef __FUNCT__ 97 #define __FUNCT__ "MatRestoreRowIJ_SeqSBAIJ" 98 static PetscErrorCode MatRestoreRowIJ_SeqSBAIJ(Mat A,PetscInt oshift,PetscTruth symmetric,PetscTruth blockcompressed,PetscInt *nn,PetscInt *ia[],PetscInt *ja[],PetscTruth *done) 99 { 100 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 101 PetscInt i,n = a->mbs,nz = a->i[n]; 102 PetscErrorCode ierr; 103 104 PetscFunctionBegin; 105 if (!ia) PetscFunctionReturn(0); 106 107 if (!blockcompressed) { 108 ierr = PetscFree2(*ia,*ja);CHKERRQ(ierr); 109 } else if (oshift == 1) { /* blockcompressed */ 110 for (i=0; i<nz; i++) a->j[i]--; 111 for (i=0; i<n+1; i++) a->i[i]--; 112 } 113 114 PetscFunctionReturn(0); 115 } 116 117 #undef __FUNCT__ 118 #define __FUNCT__ "MatDestroy_SeqSBAIJ" 119 PetscErrorCode MatDestroy_SeqSBAIJ(Mat A) 120 { 121 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 122 PetscErrorCode ierr; 123 124 PetscFunctionBegin; 125 #if defined(PETSC_USE_LOG) 126 PetscLogObjectState((PetscObject)A,"Rows=%D, NZ=%D",A->rmap->N,a->nz); 127 #endif 128 ierr = MatSeqXAIJFreeAIJ(A,&a->a,&a->j,&a->i);CHKERRQ(ierr); 129 if (a->free_diag){ierr = PetscFree(a->diag);CHKERRQ(ierr);} 130 if (a->row) {ierr = ISDestroy(a->row);CHKERRQ(ierr);} 131 if (a->col){ierr = ISDestroy(a->col);CHKERRQ(ierr);} 132 if (a->icol) {ierr = ISDestroy(a->icol);CHKERRQ(ierr);} 133 if (a->idiag) {ierr = PetscFree(a->idiag);CHKERRQ(ierr);} 134 if (a->inode.size) {ierr = PetscFree(a->inode.size);CHKERRQ(ierr);} 135 if (a->free_diag) {ierr = PetscFree(a->diag);CHKERRQ(ierr);} 136 if (a->free_imax_ilen) {ierr = PetscFree2(a->imax,a->ilen);CHKERRQ(ierr);} 137 ierr = PetscFree(a->solve_work);CHKERRQ(ierr); 138 ierr = PetscFree(a->sor_work);CHKERRQ(ierr); 139 ierr = PetscFree(a->solves_work);CHKERRQ(ierr); 140 ierr = PetscFree(a->mult_work);CHKERRQ(ierr); 141 ierr = PetscFree(a->saved_values);CHKERRQ(ierr); 142 ierr = PetscFree(a->xtoy);CHKERRQ(ierr); 143 if (a->free_jshort) {ierr = PetscFree(a->jshort);CHKERRQ(ierr);} 144 ierr = PetscFree(a->inew);CHKERRQ(ierr); 145 if (a->parent) {ierr = MatDestroy(a->parent);CHKERRQ(ierr);} 146 ierr = PetscFree(a);CHKERRQ(ierr); 147 148 ierr = PetscObjectChangeTypeName((PetscObject)A,0);CHKERRQ(ierr); 149 ierr = PetscObjectComposeFunction((PetscObject)A,"MatStoreValues_C","",PETSC_NULL);CHKERRQ(ierr); 150 ierr = PetscObjectComposeFunction((PetscObject)A,"MatRetrieveValues_C","",PETSC_NULL);CHKERRQ(ierr); 151 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqSBAIJSetColumnIndices_C","",PETSC_NULL);CHKERRQ(ierr); 152 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqsbaij_seqaij_C","",PETSC_NULL);CHKERRQ(ierr); 153 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqsbaij_seqbaij_C","",PETSC_NULL);CHKERRQ(ierr); 154 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqSBAIJSetPreallocation_C","",PETSC_NULL);CHKERRQ(ierr); 155 PetscFunctionReturn(0); 156 } 157 158 #undef __FUNCT__ 159 #define __FUNCT__ "MatSetOption_SeqSBAIJ" 160 PetscErrorCode MatSetOption_SeqSBAIJ(Mat A,MatOption op,PetscTruth flg) 161 { 162 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 163 PetscErrorCode ierr; 164 165 PetscFunctionBegin; 166 switch (op) { 167 case MAT_ROW_ORIENTED: 168 a->roworiented = flg; 169 break; 170 case MAT_KEEP_NONZERO_PATTERN: 171 a->keepnonzeropattern = flg; 172 break; 173 case MAT_NEW_NONZERO_LOCATIONS: 174 a->nonew = (flg ? 0 : 1); 175 break; 176 case MAT_NEW_NONZERO_LOCATION_ERR: 177 a->nonew = (flg ? -1 : 0); 178 break; 179 case MAT_NEW_NONZERO_ALLOCATION_ERR: 180 a->nonew = (flg ? -2 : 0); 181 break; 182 case MAT_UNUSED_NONZERO_LOCATION_ERR: 183 a->nounused = (flg ? -1 : 0); 184 break; 185 case MAT_NEW_DIAGONALS: 186 case MAT_IGNORE_OFF_PROC_ENTRIES: 187 case MAT_USE_HASH_TABLE: 188 ierr = PetscInfo1(A,"Option %s ignored\n",MatOptions[op]);CHKERRQ(ierr); 189 break; 190 case MAT_HERMITIAN: 191 if (!A->assembled) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Must call MatAssemblyEnd() first"); 192 if (A->cmap->n < 65536 && A->cmap->bs == 1) { 193 A->ops->mult = MatMult_SeqSBAIJ_1_Hermitian_ushort; 194 } else if (A->cmap->bs == 1) { 195 A->ops->mult = MatMult_SeqSBAIJ_1_Hermitian; 196 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"No support for Hermitian with block size greater than 1"); 197 break; 198 case MAT_SYMMETRIC: 199 case MAT_STRUCTURALLY_SYMMETRIC: 200 case MAT_SYMMETRY_ETERNAL: 201 if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Matrix must be symmetric"); 202 ierr = PetscInfo1(A,"Option %s not relevent\n",MatOptions[op]);CHKERRQ(ierr); 203 break; 204 case MAT_IGNORE_LOWER_TRIANGULAR: 205 a->ignore_ltriangular = flg; 206 break; 207 case MAT_ERROR_LOWER_TRIANGULAR: 208 a->ignore_ltriangular = flg; 209 break; 210 case MAT_GETROW_UPPERTRIANGULAR: 211 a->getrow_utriangular = flg; 212 break; 213 default: 214 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"unknown option %d",op); 215 } 216 PetscFunctionReturn(0); 217 } 218 219 #undef __FUNCT__ 220 #define __FUNCT__ "MatGetRow_SeqSBAIJ" 221 PetscErrorCode MatGetRow_SeqSBAIJ(Mat A,PetscInt row,PetscInt *ncols,PetscInt **cols,PetscScalar **v) 222 { 223 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 224 PetscErrorCode ierr; 225 PetscInt itmp,i,j,k,M,*ai,*aj,bs,bn,bp,*cols_i,bs2; 226 MatScalar *aa,*aa_i; 227 PetscScalar *v_i; 228 229 PetscFunctionBegin; 230 if (A && !a->getrow_utriangular) SETERRQ(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()"); 231 /* Get the upper triangular part of the row */ 232 bs = A->rmap->bs; 233 ai = a->i; 234 aj = a->j; 235 aa = a->a; 236 bs2 = a->bs2; 237 238 if (row < 0 || row >= A->rmap->N) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE, "Row %D out of range", row); 239 240 bn = row/bs; /* Block number */ 241 bp = row % bs; /* Block position */ 242 M = ai[bn+1] - ai[bn]; 243 *ncols = bs*M; 244 245 if (v) { 246 *v = 0; 247 if (*ncols) { 248 ierr = PetscMalloc((*ncols+row)*sizeof(PetscScalar),v);CHKERRQ(ierr); 249 for (i=0; i<M; i++) { /* for each block in the block row */ 250 v_i = *v + i*bs; 251 aa_i = aa + bs2*(ai[bn] + i); 252 for (j=bp,k=0; j<bs2; j+=bs,k++) {v_i[k] = aa_i[j];} 253 } 254 } 255 } 256 257 if (cols) { 258 *cols = 0; 259 if (*ncols) { 260 ierr = PetscMalloc((*ncols+row)*sizeof(PetscInt),cols);CHKERRQ(ierr); 261 for (i=0; i<M; i++) { /* for each block in the block row */ 262 cols_i = *cols + i*bs; 263 itmp = bs*aj[ai[bn] + i]; 264 for (j=0; j<bs; j++) {cols_i[j] = itmp++;} 265 } 266 } 267 } 268 269 /*search column A(0:row-1,row) (=A(row,0:row-1)). Could be expensive! */ 270 /* this segment is currently removed, so only entries in the upper triangle are obtained */ 271 #ifdef column_search 272 v_i = *v + M*bs; 273 cols_i = *cols + M*bs; 274 for (i=0; i<bn; i++){ /* for each block row */ 275 M = ai[i+1] - ai[i]; 276 for (j=0; j<M; j++){ 277 itmp = aj[ai[i] + j]; /* block column value */ 278 if (itmp == bn){ 279 aa_i = aa + bs2*(ai[i] + j) + bs*bp; 280 for (k=0; k<bs; k++) { 281 *cols_i++ = i*bs+k; 282 *v_i++ = aa_i[k]; 283 } 284 *ncols += bs; 285 break; 286 } 287 } 288 } 289 #endif 290 PetscFunctionReturn(0); 291 } 292 293 #undef __FUNCT__ 294 #define __FUNCT__ "MatRestoreRow_SeqSBAIJ" 295 PetscErrorCode MatRestoreRow_SeqSBAIJ(Mat A,PetscInt row,PetscInt *nz,PetscInt **idx,PetscScalar **v) 296 { 297 PetscErrorCode ierr; 298 299 PetscFunctionBegin; 300 if (idx) {ierr = PetscFree(*idx);CHKERRQ(ierr);} 301 if (v) {ierr = PetscFree(*v);CHKERRQ(ierr);} 302 PetscFunctionReturn(0); 303 } 304 305 #undef __FUNCT__ 306 #define __FUNCT__ "MatGetRowUpperTriangular_SeqSBAIJ" 307 PetscErrorCode MatGetRowUpperTriangular_SeqSBAIJ(Mat A) 308 { 309 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 310 311 PetscFunctionBegin; 312 a->getrow_utriangular = PETSC_TRUE; 313 PetscFunctionReturn(0); 314 } 315 #undef __FUNCT__ 316 #define __FUNCT__ "MatRestoreRowUpperTriangular_SeqSBAIJ" 317 PetscErrorCode MatRestoreRowUpperTriangular_SeqSBAIJ(Mat A) 318 { 319 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 320 321 PetscFunctionBegin; 322 a->getrow_utriangular = PETSC_FALSE; 323 PetscFunctionReturn(0); 324 } 325 326 #undef __FUNCT__ 327 #define __FUNCT__ "MatTranspose_SeqSBAIJ" 328 PetscErrorCode MatTranspose_SeqSBAIJ(Mat A,MatReuse reuse,Mat *B) 329 { 330 PetscErrorCode ierr; 331 PetscFunctionBegin; 332 if (reuse == MAT_INITIAL_MATRIX || *B != A) { 333 ierr = MatDuplicate(A,MAT_COPY_VALUES,B);CHKERRQ(ierr); 334 } 335 PetscFunctionReturn(0); 336 } 337 338 #undef __FUNCT__ 339 #define __FUNCT__ "MatView_SeqSBAIJ_ASCII" 340 static PetscErrorCode MatView_SeqSBAIJ_ASCII(Mat A,PetscViewer viewer) 341 { 342 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 343 PetscErrorCode ierr; 344 PetscInt i,j,bs = A->rmap->bs,k,l,bs2=a->bs2; 345 const char *name; 346 PetscViewerFormat format; 347 348 PetscFunctionBegin; 349 ierr = PetscObjectGetName((PetscObject)A,&name);CHKERRQ(ierr); 350 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 351 if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 352 ierr = PetscViewerASCIIPrintf(viewer," block size is %D\n",bs);CHKERRQ(ierr); 353 } else if (format == PETSC_VIEWER_ASCII_MATLAB) { 354 Mat aij; 355 356 if (A->factortype && bs>1){ 357 ierr = PetscPrintf(PETSC_COMM_SELF,"Warning: matrix is factored with bs>1. MatView() with PETSC_VIEWER_ASCII_MATLAB is not supported and ignored!\n");CHKERRQ(ierr); 358 PetscFunctionReturn(0); 359 } 360 ierr = MatConvert(A,MATSEQAIJ,MAT_INITIAL_MATRIX,&aij);CHKERRQ(ierr); 361 ierr = MatView(aij,viewer);CHKERRQ(ierr); 362 ierr = MatDestroy(aij);CHKERRQ(ierr); 363 } else if (format == PETSC_VIEWER_ASCII_COMMON) { 364 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_NO);CHKERRQ(ierr); 365 for (i=0; i<a->mbs; i++) { 366 for (j=0; j<bs; j++) { 367 ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i*bs+j);CHKERRQ(ierr); 368 for (k=a->i[i]; k<a->i[i+1]; k++) { 369 for (l=0; l<bs; l++) { 370 #if defined(PETSC_USE_COMPLEX) 371 if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) > 0.0 && PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) { 372 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G + %G i) ",bs*a->j[k]+l, 373 PetscRealPart(a->a[bs2*k + l*bs + j]),PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 374 } else if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) < 0.0 && PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) { 375 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G - %G i) ",bs*a->j[k]+l, 376 PetscRealPart(a->a[bs2*k + l*bs + j]),-PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 377 } else if (PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) { 378 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G) ",bs*a->j[k]+l,PetscRealPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 379 } 380 #else 381 if (a->a[bs2*k + l*bs + j] != 0.0) { 382 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G) ",bs*a->j[k]+l,a->a[bs2*k + l*bs + j]);CHKERRQ(ierr); 383 } 384 #endif 385 } 386 } 387 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 388 } 389 } 390 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_YES);CHKERRQ(ierr); 391 } else if (format == PETSC_VIEWER_ASCII_FACTOR_INFO) { 392 PetscFunctionReturn(0); 393 } else { 394 if (A->factortype && bs>1){ 395 ierr = PetscPrintf(PETSC_COMM_SELF,"Warning: matrix is factored. MatView_SeqSBAIJ_ASCII() may not display complete or logically correct entries!\n");CHKERRQ(ierr); 396 } 397 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_NO);CHKERRQ(ierr); 398 for (i=0; i<a->mbs; i++) { 399 for (j=0; j<bs; j++) { 400 ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i*bs+j);CHKERRQ(ierr); 401 for (k=a->i[i]; k<a->i[i+1]; k++) { 402 for (l=0; l<bs; l++) { 403 #if defined(PETSC_USE_COMPLEX) 404 if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) > 0.0) { 405 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G + %G i) ",bs*a->j[k]+l, 406 PetscRealPart(a->a[bs2*k + l*bs + j]),PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 407 } else if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) < 0.0) { 408 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G - %G i) ",bs*a->j[k]+l, 409 PetscRealPart(a->a[bs2*k + l*bs + j]),-PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 410 } else { 411 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G) ",bs*a->j[k]+l,PetscRealPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 412 } 413 #else 414 ierr = PetscViewerASCIIPrintf(viewer," (%D, %G) ",bs*a->j[k]+l,a->a[bs2*k + l*bs + j]);CHKERRQ(ierr); 415 #endif 416 } 417 } 418 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 419 } 420 } 421 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_YES);CHKERRQ(ierr); 422 } 423 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 424 PetscFunctionReturn(0); 425 } 426 427 #undef __FUNCT__ 428 #define __FUNCT__ "MatView_SeqSBAIJ_Draw_Zoom" 429 static PetscErrorCode MatView_SeqSBAIJ_Draw_Zoom(PetscDraw draw,void *Aa) 430 { 431 Mat A = (Mat) Aa; 432 Mat_SeqSBAIJ *a=(Mat_SeqSBAIJ*)A->data; 433 PetscErrorCode ierr; 434 PetscInt row,i,j,k,l,mbs=a->mbs,color,bs=A->rmap->bs,bs2=a->bs2; 435 PetscMPIInt rank; 436 PetscReal xl,yl,xr,yr,x_l,x_r,y_l,y_r; 437 MatScalar *aa; 438 MPI_Comm comm; 439 PetscViewer viewer; 440 441 PetscFunctionBegin; 442 /* 443 This is nasty. If this is called from an originally parallel matrix 444 then all processes call this,but only the first has the matrix so the 445 rest should return immediately. 446 */ 447 ierr = PetscObjectGetComm((PetscObject)draw,&comm);CHKERRQ(ierr); 448 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 449 if (rank) PetscFunctionReturn(0); 450 451 ierr = PetscObjectQuery((PetscObject)A,"Zoomviewer",(PetscObject*)&viewer);CHKERRQ(ierr); 452 453 ierr = PetscDrawGetCoordinates(draw,&xl,&yl,&xr,&yr);CHKERRQ(ierr); 454 PetscDrawString(draw, .3*(xl+xr), .3*(yl+yr), PETSC_DRAW_BLACK, "symmetric"); 455 456 /* loop over matrix elements drawing boxes */ 457 color = PETSC_DRAW_BLUE; 458 for (i=0,row=0; i<mbs; i++,row+=bs) { 459 for (j=a->i[i]; j<a->i[i+1]; j++) { 460 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 461 x_l = a->j[j]*bs; x_r = x_l + 1.0; 462 aa = a->a + j*bs2; 463 for (k=0; k<bs; k++) { 464 for (l=0; l<bs; l++) { 465 if (PetscRealPart(*aa++) >= 0.) continue; 466 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 467 } 468 } 469 } 470 } 471 color = PETSC_DRAW_CYAN; 472 for (i=0,row=0; i<mbs; i++,row+=bs) { 473 for (j=a->i[i]; j<a->i[i+1]; j++) { 474 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 475 x_l = a->j[j]*bs; x_r = x_l + 1.0; 476 aa = a->a + j*bs2; 477 for (k=0; k<bs; k++) { 478 for (l=0; l<bs; l++) { 479 if (PetscRealPart(*aa++) != 0.) continue; 480 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 481 } 482 } 483 } 484 } 485 486 color = PETSC_DRAW_RED; 487 for (i=0,row=0; i<mbs; i++,row+=bs) { 488 for (j=a->i[i]; j<a->i[i+1]; j++) { 489 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 490 x_l = a->j[j]*bs; x_r = x_l + 1.0; 491 aa = a->a + j*bs2; 492 for (k=0; k<bs; k++) { 493 for (l=0; l<bs; l++) { 494 if (PetscRealPart(*aa++) <= 0.) continue; 495 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 496 } 497 } 498 } 499 } 500 PetscFunctionReturn(0); 501 } 502 503 #undef __FUNCT__ 504 #define __FUNCT__ "MatView_SeqSBAIJ_Draw" 505 static PetscErrorCode MatView_SeqSBAIJ_Draw(Mat A,PetscViewer viewer) 506 { 507 PetscErrorCode ierr; 508 PetscReal xl,yl,xr,yr,w,h; 509 PetscDraw draw; 510 PetscTruth isnull; 511 512 PetscFunctionBegin; 513 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 514 ierr = PetscDrawIsNull(draw,&isnull);CHKERRQ(ierr); if (isnull) PetscFunctionReturn(0); 515 516 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",(PetscObject)viewer);CHKERRQ(ierr); 517 xr = A->rmap->N; yr = A->rmap->N; h = yr/10.0; w = xr/10.0; 518 xr += w; yr += h; xl = -w; yl = -h; 519 ierr = PetscDrawSetCoordinates(draw,xl,yl,xr,yr);CHKERRQ(ierr); 520 ierr = PetscDrawZoom(draw,MatView_SeqSBAIJ_Draw_Zoom,A);CHKERRQ(ierr); 521 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",PETSC_NULL);CHKERRQ(ierr); 522 PetscFunctionReturn(0); 523 } 524 525 #undef __FUNCT__ 526 #define __FUNCT__ "MatView_SeqSBAIJ" 527 PetscErrorCode MatView_SeqSBAIJ(Mat A,PetscViewer viewer) 528 { 529 PetscErrorCode ierr; 530 PetscTruth iascii,isdraw; 531 FILE *file = 0; 532 533 PetscFunctionBegin; 534 ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 535 ierr = PetscTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 536 if (iascii){ 537 ierr = MatView_SeqSBAIJ_ASCII(A,viewer);CHKERRQ(ierr); 538 } else if (isdraw) { 539 ierr = MatView_SeqSBAIJ_Draw(A,viewer);CHKERRQ(ierr); 540 } else { 541 Mat B; 542 ierr = MatConvert(A,MATSEQAIJ,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr); 543 ierr = MatView(B,viewer);CHKERRQ(ierr); 544 ierr = MatDestroy(B);CHKERRQ(ierr); 545 ierr = PetscViewerBinaryGetInfoPointer(viewer,&file);CHKERRQ(ierr); 546 if (file) { 547 fprintf(file,"-matload_block_size %d\n",(int)A->rmap->bs); 548 } 549 } 550 PetscFunctionReturn(0); 551 } 552 553 554 #undef __FUNCT__ 555 #define __FUNCT__ "MatGetValues_SeqSBAIJ" 556 PetscErrorCode MatGetValues_SeqSBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],PetscScalar v[]) 557 { 558 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 559 PetscInt *rp,k,low,high,t,row,nrow,i,col,l,*aj = a->j; 560 PetscInt *ai = a->i,*ailen = a->ilen; 561 PetscInt brow,bcol,ridx,cidx,bs=A->rmap->bs,bs2=a->bs2; 562 MatScalar *ap,*aa = a->a; 563 564 PetscFunctionBegin; 565 for (k=0; k<m; k++) { /* loop over rows */ 566 row = im[k]; brow = row/bs; 567 if (row < 0) {v += n; continue;} /* SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row: %D",row); */ 568 if (row >= A->rmap->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,A->rmap->N-1); 569 rp = aj + ai[brow] ; ap = aa + bs2*ai[brow] ; 570 nrow = ailen[brow]; 571 for (l=0; l<n; l++) { /* loop over columns */ 572 if (in[l] < 0) {v++; continue;} /* SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative column: %D",in[l]); */ 573 if (in[l] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",in[l],A->cmap->n-1); 574 col = in[l] ; 575 bcol = col/bs; 576 cidx = col%bs; 577 ridx = row%bs; 578 high = nrow; 579 low = 0; /* assume unsorted */ 580 while (high-low > 5) { 581 t = (low+high)/2; 582 if (rp[t] > bcol) high = t; 583 else low = t; 584 } 585 for (i=low; i<high; i++) { 586 if (rp[i] > bcol) break; 587 if (rp[i] == bcol) { 588 *v++ = ap[bs2*i+bs*cidx+ridx]; 589 goto finished; 590 } 591 } 592 *v++ = 0.0; 593 finished:; 594 } 595 } 596 PetscFunctionReturn(0); 597 } 598 599 600 #undef __FUNCT__ 601 #define __FUNCT__ "MatSetValuesBlocked_SeqSBAIJ" 602 PetscErrorCode MatSetValuesBlocked_SeqSBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],const PetscScalar v[],InsertMode is) 603 { 604 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 605 PetscErrorCode ierr; 606 PetscInt *rp,k,low,high,t,ii,jj,row,nrow,i,col,l,rmax,N,lastcol = -1; 607 PetscInt *imax=a->imax,*ai=a->i,*ailen=a->ilen; 608 PetscInt *aj=a->j,nonew=a->nonew,bs2=a->bs2,bs=A->rmap->bs,stepval; 609 PetscTruth roworiented=a->roworiented; 610 const PetscScalar *value = v; 611 MatScalar *ap,*aa = a->a,*bap; 612 613 PetscFunctionBegin; 614 if (roworiented) { 615 stepval = (n-1)*bs; 616 } else { 617 stepval = (m-1)*bs; 618 } 619 for (k=0; k<m; k++) { /* loop over added rows */ 620 row = im[k]; 621 if (row < 0) continue; 622 #if defined(PETSC_USE_DEBUG) 623 if (row >= a->mbs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,a->mbs-1); 624 #endif 625 rp = aj + ai[row]; 626 ap = aa + bs2*ai[row]; 627 rmax = imax[row]; 628 nrow = ailen[row]; 629 low = 0; 630 high = nrow; 631 for (l=0; l<n; l++) { /* loop over added columns */ 632 if (in[l] < 0) continue; 633 col = in[l]; 634 #if defined(PETSC_USE_DEBUG) 635 if (col >= a->nbs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",col,a->nbs-1); 636 #endif 637 if (col < row) { 638 if (a->ignore_ltriangular) { 639 continue; /* ignore lower triangular block */ 640 } else { 641 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)"); 642 } 643 } 644 if (roworiented) { 645 value = v + k*(stepval+bs)*bs + l*bs; 646 } else { 647 value = v + l*(stepval+bs)*bs + k*bs; 648 } 649 if (col <= lastcol) low = 0; else high = nrow; 650 lastcol = col; 651 while (high-low > 7) { 652 t = (low+high)/2; 653 if (rp[t] > col) high = t; 654 else low = t; 655 } 656 for (i=low; i<high; i++) { 657 if (rp[i] > col) break; 658 if (rp[i] == col) { 659 bap = ap + bs2*i; 660 if (roworiented) { 661 if (is == ADD_VALUES) { 662 for (ii=0; ii<bs; ii++,value+=stepval) { 663 for (jj=ii; jj<bs2; jj+=bs) { 664 bap[jj] += *value++; 665 } 666 } 667 } else { 668 for (ii=0; ii<bs; ii++,value+=stepval) { 669 for (jj=ii; jj<bs2; jj+=bs) { 670 bap[jj] = *value++; 671 } 672 } 673 } 674 } else { 675 if (is == ADD_VALUES) { 676 for (ii=0; ii<bs; ii++,value+=stepval) { 677 for (jj=0; jj<bs; jj++) { 678 *bap++ += *value++; 679 } 680 } 681 } else { 682 for (ii=0; ii<bs; ii++,value+=stepval) { 683 for (jj=0; jj<bs; jj++) { 684 *bap++ = *value++; 685 } 686 } 687 } 688 } 689 goto noinsert2; 690 } 691 } 692 if (nonew == 1) goto noinsert2; 693 if (nonew == -1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col); 694 MatSeqXAIJReallocateAIJ(A,a->mbs,bs2,nrow,row,col,rmax,aa,ai,aj,rp,ap,imax,nonew,MatScalar); 695 N = nrow++ - 1; high++; 696 /* shift up all the later entries in this row */ 697 for (ii=N; ii>=i; ii--) { 698 rp[ii+1] = rp[ii]; 699 ierr = PetscMemcpy(ap+bs2*(ii+1),ap+bs2*(ii),bs2*sizeof(MatScalar));CHKERRQ(ierr); 700 } 701 if (N >= i) { 702 ierr = PetscMemzero(ap+bs2*i,bs2*sizeof(MatScalar));CHKERRQ(ierr); 703 } 704 rp[i] = col; 705 bap = ap + bs2*i; 706 if (roworiented) { 707 for (ii=0; ii<bs; ii++,value+=stepval) { 708 for (jj=ii; jj<bs2; jj+=bs) { 709 bap[jj] = *value++; 710 } 711 } 712 } else { 713 for (ii=0; ii<bs; ii++,value+=stepval) { 714 for (jj=0; jj<bs; jj++) { 715 *bap++ = *value++; 716 } 717 } 718 } 719 noinsert2:; 720 low = i; 721 } 722 ailen[row] = nrow; 723 } 724 PetscFunctionReturn(0); 725 } 726 727 /* 728 This is not yet used 729 */ 730 #undef __FUNCT__ 731 #define __FUNCT__ "MatAssemblyEnd_SeqSBAIJ_SeqAIJ_Inode" 732 PetscErrorCode MatAssemblyEnd_SeqSBAIJ_SeqAIJ_Inode(Mat A) 733 { 734 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 735 PetscErrorCode ierr; 736 const PetscInt *ai = a->i, *aj = a->j,*cols; 737 PetscInt i = 0,j,blk_size,m = A->rmap->n,node_count = 0,nzx,nzy,*ns,row,nz,cnt,cnt2,*counts; 738 PetscTruth flag; 739 740 PetscFunctionBegin; 741 ierr = PetscMalloc(m*sizeof(PetscInt),&ns);CHKERRQ(ierr); 742 while (i < m){ 743 nzx = ai[i+1] - ai[i]; /* Number of nonzeros */ 744 /* Limits the number of elements in a node to 'a->inode.limit' */ 745 for (j=i+1,blk_size=1; j<m && blk_size <a->inode.limit; ++j,++blk_size) { 746 nzy = ai[j+1] - ai[j]; 747 if (nzy != (nzx - j + i)) break; 748 ierr = PetscMemcmp(aj + ai[i] + j - i,aj + ai[j],nzy*sizeof(PetscInt),&flag);CHKERRQ(ierr); 749 if (!flag) break; 750 } 751 ns[node_count++] = blk_size; 752 i = j; 753 } 754 if (!a->inode.size && m && node_count > .9*m) { 755 ierr = PetscFree(ns);CHKERRQ(ierr); 756 ierr = PetscInfo2(A,"Found %D nodes out of %D rows. Not using Inode routines\n",node_count,m);CHKERRQ(ierr); 757 } else { 758 a->inode.node_count = node_count; 759 ierr = PetscMalloc(node_count*sizeof(PetscInt),&a->inode.size);CHKERRQ(ierr); 760 ierr = PetscLogObjectMemory(A,node_count*sizeof(PetscInt));CHKERRQ(ierr); 761 ierr = PetscMemcpy(a->inode.size,ns,node_count*sizeof(PetscInt)); 762 ierr = PetscFree(ns);CHKERRQ(ierr); 763 ierr = PetscInfo3(A,"Found %D nodes of %D. Limit used: %D. Using Inode routines\n",node_count,m,a->inode.limit);CHKERRQ(ierr); 764 765 /* count collections of adjacent columns in each inode */ 766 row = 0; 767 cnt = 0; 768 for (i=0; i<node_count; i++) { 769 cols = aj + ai[row] + a->inode.size[i]; 770 nz = ai[row+1] - ai[row] - a->inode.size[i]; 771 for (j=1; j<nz; j++) { 772 if (cols[j] != cols[j-1]+1) { 773 cnt++; 774 } 775 } 776 cnt++; 777 row += a->inode.size[i]; 778 } 779 ierr = PetscMalloc(2*cnt*sizeof(PetscInt),&counts);CHKERRQ(ierr); 780 cnt = 0; 781 row = 0; 782 for (i=0; i<node_count; i++) { 783 cols = aj + ai[row] + a->inode.size[i]; 784 CHKMEMQ; 785 counts[2*cnt] = cols[0]; 786 CHKMEMQ; 787 nz = ai[row+1] - ai[row] - a->inode.size[i]; 788 cnt2 = 1; 789 for (j=1; j<nz; j++) { 790 if (cols[j] != cols[j-1]+1) { 791 CHKMEMQ; 792 counts[2*(cnt++)+1] = cnt2; 793 counts[2*cnt] = cols[j]; 794 CHKMEMQ; 795 cnt2 = 1; 796 } else cnt2++; 797 } 798 CHKMEMQ; 799 counts[2*(cnt++)+1] = cnt2; 800 CHKMEMQ; 801 row += a->inode.size[i]; 802 } 803 ierr = PetscIntView(2*cnt,counts,0); 804 } 805 PetscFunctionReturn(0); 806 } 807 808 #undef __FUNCT__ 809 #define __FUNCT__ "MatAssemblyEnd_SeqSBAIJ" 810 PetscErrorCode MatAssemblyEnd_SeqSBAIJ(Mat A,MatAssemblyType mode) 811 { 812 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 813 PetscErrorCode ierr; 814 PetscInt fshift = 0,i,j,*ai = a->i,*aj = a->j,*imax = a->imax; 815 PetscInt m = A->rmap->N,*ip,N,*ailen = a->ilen; 816 PetscInt mbs = a->mbs,bs2 = a->bs2,rmax = 0; 817 MatScalar *aa = a->a,*ap; 818 819 PetscFunctionBegin; 820 if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(0); 821 822 if (m) rmax = ailen[0]; 823 for (i=1; i<mbs; i++) { 824 /* move each row back by the amount of empty slots (fshift) before it*/ 825 fshift += imax[i-1] - ailen[i-1]; 826 rmax = PetscMax(rmax,ailen[i]); 827 if (fshift) { 828 ip = aj + ai[i]; ap = aa + bs2*ai[i]; 829 N = ailen[i]; 830 for (j=0; j<N; j++) { 831 ip[j-fshift] = ip[j]; 832 ierr = PetscMemcpy(ap+(j-fshift)*bs2,ap+j*bs2,bs2*sizeof(MatScalar));CHKERRQ(ierr); 833 } 834 } 835 ai[i] = ai[i-1] + ailen[i-1]; 836 } 837 if (mbs) { 838 fshift += imax[mbs-1] - ailen[mbs-1]; 839 ai[mbs] = ai[mbs-1] + ailen[mbs-1]; 840 } 841 /* reset ilen and imax for each row */ 842 for (i=0; i<mbs; i++) { 843 ailen[i] = imax[i] = ai[i+1] - ai[i]; 844 } 845 a->nz = ai[mbs]; 846 847 /* diagonals may have moved, reset it */ 848 if (a->diag) { 849 ierr = PetscMemcpy(a->diag,ai,mbs*sizeof(PetscInt));CHKERRQ(ierr); 850 } 851 if (fshift && a->nounused == -1) { 852 SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_PLIB, "Unused space detected in matrix: %D X %D block size %D, %D unneeded", m, A->cmap->n, A->rmap->bs, fshift*bs2); 853 } 854 ierr = PetscInfo5(A,"Matrix size: %D X %D, block size %D; storage space: %D unneeded, %D used\n",m,A->rmap->N,A->rmap->bs,fshift*bs2,a->nz*bs2);CHKERRQ(ierr); 855 ierr = PetscInfo1(A,"Number of mallocs during MatSetValues is %D\n",a->reallocs);CHKERRQ(ierr); 856 ierr = PetscInfo1(A,"Most nonzeros blocks in any row is %D\n",rmax);CHKERRQ(ierr); 857 A->info.mallocs += a->reallocs; 858 a->reallocs = 0; 859 A->info.nz_unneeded = (PetscReal)fshift*bs2; 860 a->idiagvalid = PETSC_FALSE; 861 862 if (A->cmap->n < 65536 && A->cmap->bs == 1) { 863 if (!a->jshort) { 864 ierr = PetscMalloc(a->i[A->rmap->n]*sizeof(unsigned short),&a->jshort);CHKERRQ(ierr); 865 ierr = PetscLogObjectMemory(A,a->i[A->rmap->n]*sizeof(unsigned short));CHKERRQ(ierr); 866 for (i=0; i<a->i[A->rmap->n]; i++) a->jshort[i] = a->j[i]; 867 A->ops->mult = MatMult_SeqSBAIJ_1_ushort; 868 A->ops->sor = MatSOR_SeqSBAIJ_ushort; 869 a->free_jshort = PETSC_TRUE; 870 } 871 } 872 PetscFunctionReturn(0); 873 } 874 875 /* 876 This function returns an array of flags which indicate the locations of contiguous 877 blocks that should be zeroed. for eg: if bs = 3 and is = [0,1,2,3,5,6,7,8,9] 878 then the resulting sizes = [3,1,1,3,1] correspondig to sets [(0,1,2),(3),(5),(6,7,8),(9)] 879 Assume: sizes should be long enough to hold all the values. 880 */ 881 #undef __FUNCT__ 882 #define __FUNCT__ "MatZeroRows_SeqSBAIJ_Check_Blocks" 883 PetscErrorCode MatZeroRows_SeqSBAIJ_Check_Blocks(PetscInt idx[],PetscInt n,PetscInt bs,PetscInt sizes[], PetscInt *bs_max) 884 { 885 PetscInt i,j,k,row; 886 PetscTruth flg; 887 888 PetscFunctionBegin; 889 for (i=0,j=0; i<n; j++) { 890 row = idx[i]; 891 if (row%bs!=0) { /* Not the begining of a block */ 892 sizes[j] = 1; 893 i++; 894 } else if (i+bs > n) { /* Beginning of a block, but complete block doesn't exist (at idx end) */ 895 sizes[j] = 1; /* Also makes sure atleast 'bs' values exist for next else */ 896 i++; 897 } else { /* Begining of the block, so check if the complete block exists */ 898 flg = PETSC_TRUE; 899 for (k=1; k<bs; k++) { 900 if (row+k != idx[i+k]) { /* break in the block */ 901 flg = PETSC_FALSE; 902 break; 903 } 904 } 905 if (flg) { /* No break in the bs */ 906 sizes[j] = bs; 907 i+= bs; 908 } else { 909 sizes[j] = 1; 910 i++; 911 } 912 } 913 } 914 *bs_max = j; 915 PetscFunctionReturn(0); 916 } 917 918 919 /* Only add/insert a(i,j) with i<=j (blocks). 920 Any a(i,j) with i>j input by user is ingored. 921 */ 922 923 #undef __FUNCT__ 924 #define __FUNCT__ "MatSetValues_SeqSBAIJ" 925 PetscErrorCode MatSetValues_SeqSBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],const PetscScalar v[],InsertMode is) 926 { 927 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 928 PetscErrorCode ierr; 929 PetscInt *rp,k,low,high,t,ii,row,nrow,i,col,l,rmax,N,lastcol = -1; 930 PetscInt *imax=a->imax,*ai=a->i,*ailen=a->ilen,roworiented=a->roworiented; 931 PetscInt *aj=a->j,nonew=a->nonew,bs=A->rmap->bs,brow,bcol; 932 PetscInt ridx,cidx,bs2=a->bs2; 933 MatScalar *ap,value,*aa=a->a,*bap; 934 935 PetscFunctionBegin; 936 if (v) PetscValidScalarPointer(v,6); 937 for (k=0; k<m; k++) { /* loop over added rows */ 938 row = im[k]; /* row number */ 939 brow = row/bs; /* block row number */ 940 if (row < 0) continue; 941 #if defined(PETSC_USE_DEBUG) 942 if (row >= A->rmap->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,A->rmap->N-1); 943 #endif 944 rp = aj + ai[brow]; /*ptr to beginning of column value of the row block*/ 945 ap = aa + bs2*ai[brow]; /*ptr to beginning of element value of the row block*/ 946 rmax = imax[brow]; /* maximum space allocated for this row */ 947 nrow = ailen[brow]; /* actual length of this row */ 948 low = 0; 949 950 for (l=0; l<n; l++) { /* loop over added columns */ 951 if (in[l] < 0) continue; 952 #if defined(PETSC_USE_DEBUG) 953 if (in[l] >= A->rmap->N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",in[l],A->rmap->N-1); 954 #endif 955 col = in[l]; 956 bcol = col/bs; /* block col number */ 957 958 if (brow > bcol) { 959 if (a->ignore_ltriangular){ 960 continue; /* ignore lower triangular values */ 961 } else { 962 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)"); 963 } 964 } 965 966 ridx = row % bs; cidx = col % bs; /*row and col index inside the block */ 967 if ((brow==bcol && ridx<=cidx) || (brow<bcol)){ 968 /* element value a(k,l) */ 969 if (roworiented) { 970 value = v[l + k*n]; 971 } else { 972 value = v[k + l*m]; 973 } 974 975 /* move pointer bap to a(k,l) quickly and add/insert value */ 976 if (col <= lastcol) low = 0; high = nrow; 977 lastcol = col; 978 while (high-low > 7) { 979 t = (low+high)/2; 980 if (rp[t] > bcol) high = t; 981 else low = t; 982 } 983 for (i=low; i<high; i++) { 984 if (rp[i] > bcol) break; 985 if (rp[i] == bcol) { 986 bap = ap + bs2*i + bs*cidx + ridx; 987 if (is == ADD_VALUES) *bap += value; 988 else *bap = value; 989 /* for diag block, add/insert its symmetric element a(cidx,ridx) */ 990 if (brow == bcol && ridx < cidx){ 991 bap = ap + bs2*i + bs*ridx + cidx; 992 if (is == ADD_VALUES) *bap += value; 993 else *bap = value; 994 } 995 goto noinsert1; 996 } 997 } 998 999 if (nonew == 1) goto noinsert1; 1000 if (nonew == -1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col); 1001 MatSeqXAIJReallocateAIJ(A,a->mbs,bs2,nrow,brow,bcol,rmax,aa,ai,aj,rp,ap,imax,nonew,MatScalar); 1002 1003 N = nrow++ - 1; high++; 1004 /* shift up all the later entries in this row */ 1005 for (ii=N; ii>=i; ii--) { 1006 rp[ii+1] = rp[ii]; 1007 ierr = PetscMemcpy(ap+bs2*(ii+1),ap+bs2*(ii),bs2*sizeof(MatScalar));CHKERRQ(ierr); 1008 } 1009 if (N>=i) { 1010 ierr = PetscMemzero(ap+bs2*i,bs2*sizeof(MatScalar));CHKERRQ(ierr); 1011 } 1012 rp[i] = bcol; 1013 ap[bs2*i + bs*cidx + ridx] = value; 1014 noinsert1:; 1015 low = i; 1016 } 1017 } /* end of loop over added columns */ 1018 ailen[brow] = nrow; 1019 } /* end of loop over added rows */ 1020 PetscFunctionReturn(0); 1021 } 1022 1023 #undef __FUNCT__ 1024 #define __FUNCT__ "MatICCFactor_SeqSBAIJ" 1025 PetscErrorCode MatICCFactor_SeqSBAIJ(Mat inA,IS row,const MatFactorInfo *info) 1026 { 1027 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)inA->data; 1028 Mat outA; 1029 PetscErrorCode ierr; 1030 PetscTruth row_identity; 1031 1032 PetscFunctionBegin; 1033 if (info->levels != 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only levels=0 is supported for in-place icc"); 1034 ierr = ISIdentity(row,&row_identity);CHKERRQ(ierr); 1035 if (!row_identity) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Matrix reordering is not supported"); 1036 if (inA->rmap->bs != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"Matrix block size %D is not supported",inA->rmap->bs); /* Need to replace MatCholeskyFactorSymbolic_SeqSBAIJ_MSR()! */ 1037 1038 outA = inA; 1039 inA->factortype = MAT_FACTOR_ICC; 1040 1041 ierr = MatMarkDiagonal_SeqSBAIJ(inA);CHKERRQ(ierr); 1042 ierr = MatSeqSBAIJSetNumericFactorization_inplace(inA,row_identity);CHKERRQ(ierr); 1043 1044 ierr = PetscObjectReference((PetscObject)row);CHKERRQ(ierr); 1045 if (a->row) { ierr = ISDestroy(a->row);CHKERRQ(ierr); } 1046 a->row = row; 1047 ierr = PetscObjectReference((PetscObject)row);CHKERRQ(ierr); 1048 if (a->col) { ierr = ISDestroy(a->col);CHKERRQ(ierr); } 1049 a->col = row; 1050 1051 /* Create the invert permutation so that it can be used in MatCholeskyFactorNumeric() */ 1052 if (a->icol) {ierr = ISInvertPermutation(row,PETSC_DECIDE, &a->icol);CHKERRQ(ierr);} 1053 ierr = PetscLogObjectParent(inA,a->icol);CHKERRQ(ierr); 1054 1055 if (!a->solve_work) { 1056 ierr = PetscMalloc((inA->rmap->N+inA->rmap->bs)*sizeof(PetscScalar),&a->solve_work);CHKERRQ(ierr); 1057 ierr = PetscLogObjectMemory(inA,(inA->rmap->N+inA->rmap->bs)*sizeof(PetscScalar));CHKERRQ(ierr); 1058 } 1059 1060 ierr = MatCholeskyFactorNumeric(outA,inA,info);CHKERRQ(ierr); 1061 PetscFunctionReturn(0); 1062 } 1063 1064 EXTERN_C_BEGIN 1065 #undef __FUNCT__ 1066 #define __FUNCT__ "MatSeqSBAIJSetColumnIndices_SeqSBAIJ" 1067 PetscErrorCode PETSCMAT_DLLEXPORT MatSeqSBAIJSetColumnIndices_SeqSBAIJ(Mat mat,PetscInt *indices) 1068 { 1069 Mat_SeqSBAIJ *baij = (Mat_SeqSBAIJ *)mat->data; 1070 PetscInt i,nz,n; 1071 1072 PetscFunctionBegin; 1073 nz = baij->maxnz; 1074 n = mat->cmap->n; 1075 for (i=0; i<nz; i++) { 1076 baij->j[i] = indices[i]; 1077 } 1078 baij->nz = nz; 1079 for (i=0; i<n; i++) { 1080 baij->ilen[i] = baij->imax[i]; 1081 } 1082 PetscFunctionReturn(0); 1083 } 1084 EXTERN_C_END 1085 1086 #undef __FUNCT__ 1087 #define __FUNCT__ "MatSeqSBAIJSetColumnIndices" 1088 /*@ 1089 MatSeqSBAIJSetColumnIndices - Set the column indices for all the rows 1090 in the matrix. 1091 1092 Input Parameters: 1093 + mat - the SeqSBAIJ matrix 1094 - indices - the column indices 1095 1096 Level: advanced 1097 1098 Notes: 1099 This can be called if you have precomputed the nonzero structure of the 1100 matrix and want to provide it to the matrix object to improve the performance 1101 of the MatSetValues() operation. 1102 1103 You MUST have set the correct numbers of nonzeros per row in the call to 1104 MatCreateSeqSBAIJ(), and the columns indices MUST be sorted. 1105 1106 MUST be called before any calls to MatSetValues() 1107 1108 .seealso: MatCreateSeqSBAIJ 1109 @*/ 1110 PetscErrorCode PETSCMAT_DLLEXPORT MatSeqSBAIJSetColumnIndices(Mat mat,PetscInt *indices) 1111 { 1112 PetscErrorCode ierr,(*f)(Mat,PetscInt *); 1113 1114 PetscFunctionBegin; 1115 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 1116 PetscValidPointer(indices,2); 1117 ierr = PetscObjectQueryFunction((PetscObject)mat,"MatSeqSBAIJSetColumnIndices_C",(void (**)(void))&f);CHKERRQ(ierr); 1118 if (f) { 1119 ierr = (*f)(mat,indices);CHKERRQ(ierr); 1120 } else { 1121 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Wrong type of matrix to set column indices"); 1122 } 1123 PetscFunctionReturn(0); 1124 } 1125 1126 #undef __FUNCT__ 1127 #define __FUNCT__ "MatCopy_SeqSBAIJ" 1128 PetscErrorCode MatCopy_SeqSBAIJ(Mat A,Mat B,MatStructure str) 1129 { 1130 PetscErrorCode ierr; 1131 1132 PetscFunctionBegin; 1133 /* If the two matrices have the same copy implementation, use fast copy. */ 1134 if (str == SAME_NONZERO_PATTERN && (A->ops->copy == B->ops->copy)) { 1135 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 1136 Mat_SeqSBAIJ *b = (Mat_SeqSBAIJ*)B->data; 1137 1138 if (a->i[A->rmap->N] != b->i[B->rmap->N]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Number of nonzeros in two matrices are different"); 1139 ierr = PetscMemcpy(b->a,a->a,(a->i[A->rmap->N])*sizeof(PetscScalar));CHKERRQ(ierr); 1140 } else { 1141 ierr = MatGetRowUpperTriangular(A);CHKERRQ(ierr); 1142 ierr = MatCopy_Basic(A,B,str);CHKERRQ(ierr); 1143 ierr = MatRestoreRowUpperTriangular(A);CHKERRQ(ierr); 1144 } 1145 PetscFunctionReturn(0); 1146 } 1147 1148 #undef __FUNCT__ 1149 #define __FUNCT__ "MatSetUpPreallocation_SeqSBAIJ" 1150 PetscErrorCode MatSetUpPreallocation_SeqSBAIJ(Mat A) 1151 { 1152 PetscErrorCode ierr; 1153 1154 PetscFunctionBegin; 1155 ierr = MatSeqSBAIJSetPreallocation_SeqSBAIJ(A,-PetscMax(A->rmap->bs,1),PETSC_DEFAULT,0);CHKERRQ(ierr); 1156 PetscFunctionReturn(0); 1157 } 1158 1159 #undef __FUNCT__ 1160 #define __FUNCT__ "MatGetArray_SeqSBAIJ" 1161 PetscErrorCode MatGetArray_SeqSBAIJ(Mat A,PetscScalar *array[]) 1162 { 1163 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 1164 PetscFunctionBegin; 1165 *array = a->a; 1166 PetscFunctionReturn(0); 1167 } 1168 1169 #undef __FUNCT__ 1170 #define __FUNCT__ "MatRestoreArray_SeqSBAIJ" 1171 PetscErrorCode MatRestoreArray_SeqSBAIJ(Mat A,PetscScalar *array[]) 1172 { 1173 PetscFunctionBegin; 1174 PetscFunctionReturn(0); 1175 } 1176 1177 #undef __FUNCT__ 1178 #define __FUNCT__ "MatAXPY_SeqSBAIJ" 1179 PetscErrorCode MatAXPY_SeqSBAIJ(Mat Y,PetscScalar a,Mat X,MatStructure str) 1180 { 1181 Mat_SeqSBAIJ *x=(Mat_SeqSBAIJ *)X->data, *y=(Mat_SeqSBAIJ *)Y->data; 1182 PetscErrorCode ierr; 1183 PetscInt i,bs=Y->rmap->bs,bs2,j; 1184 PetscBLASInt one = 1,bnz = PetscBLASIntCast(x->nz); 1185 1186 PetscFunctionBegin; 1187 if (str == SAME_NONZERO_PATTERN) { 1188 PetscScalar alpha = a; 1189 BLASaxpy_(&bnz,&alpha,x->a,&one,y->a,&one); 1190 } else if (str == SUBSET_NONZERO_PATTERN) { /* nonzeros of X is a subset of Y's */ 1191 if (y->xtoy && y->XtoY != X) { 1192 ierr = PetscFree(y->xtoy);CHKERRQ(ierr); 1193 ierr = MatDestroy(y->XtoY);CHKERRQ(ierr); 1194 } 1195 if (!y->xtoy) { /* get xtoy */ 1196 ierr = MatAXPYGetxtoy_Private(x->mbs,x->i,x->j,PETSC_NULL, y->i,y->j,PETSC_NULL, &y->xtoy);CHKERRQ(ierr); 1197 y->XtoY = X; 1198 } 1199 bs2 = bs*bs; 1200 for (i=0; i<x->nz; i++) { 1201 j = 0; 1202 while (j < bs2){ 1203 y->a[bs2*y->xtoy[i]+j] += a*(x->a[bs2*i+j]); 1204 j++; 1205 } 1206 } 1207 ierr = PetscInfo3(Y,"ratio of nnz_s(X)/nnz_s(Y): %D/%D = %G\n",bs2*x->nz,bs2*y->nz,(PetscReal)(bs2*x->nz)/(bs2*y->nz));CHKERRQ(ierr); 1208 } else { 1209 ierr = MatGetRowUpperTriangular(X);CHKERRQ(ierr); 1210 ierr = MatAXPY_Basic(Y,a,X,str);CHKERRQ(ierr); 1211 ierr = MatRestoreRowUpperTriangular(X);CHKERRQ(ierr); 1212 } 1213 PetscFunctionReturn(0); 1214 } 1215 1216 #undef __FUNCT__ 1217 #define __FUNCT__ "MatSetBlockSize_SeqSBAIJ" 1218 PetscErrorCode MatSetBlockSize_SeqSBAIJ(Mat A,PetscInt bs) 1219 { 1220 PetscInt rbs,cbs; 1221 PetscErrorCode ierr; 1222 1223 PetscFunctionBegin; 1224 ierr = PetscLayoutGetBlockSize(A->rmap,&rbs);CHKERRQ(ierr); 1225 ierr = PetscLayoutGetBlockSize(A->cmap,&cbs);CHKERRQ(ierr); 1226 if (rbs != bs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Attempt to set block size %d with SBAIJ %d",bs,rbs); 1227 if (cbs != bs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Attempt to set block size %d with SBAIJ %d",bs,cbs); 1228 PetscFunctionReturn(0); 1229 } 1230 1231 #undef __FUNCT__ 1232 #define __FUNCT__ "MatIsSymmetric_SeqSBAIJ" 1233 PetscErrorCode MatIsSymmetric_SeqSBAIJ(Mat A,PetscReal tol,PetscTruth *flg) 1234 { 1235 PetscFunctionBegin; 1236 *flg = PETSC_TRUE; 1237 PetscFunctionReturn(0); 1238 } 1239 1240 #undef __FUNCT__ 1241 #define __FUNCT__ "MatIsStructurallySymmetric_SeqSBAIJ" 1242 PetscErrorCode MatIsStructurallySymmetric_SeqSBAIJ(Mat A,PetscTruth *flg) 1243 { 1244 PetscFunctionBegin; 1245 *flg = PETSC_TRUE; 1246 PetscFunctionReturn(0); 1247 } 1248 1249 #undef __FUNCT__ 1250 #define __FUNCT__ "MatIsHermitian_SeqSBAIJ" 1251 PetscErrorCode MatIsHermitian_SeqSBAIJ(Mat A,PetscReal tol,PetscTruth *flg) 1252 { 1253 PetscFunctionBegin; 1254 *flg = PETSC_FALSE; 1255 PetscFunctionReturn(0); 1256 } 1257 1258 #undef __FUNCT__ 1259 #define __FUNCT__ "MatRealPart_SeqSBAIJ" 1260 PetscErrorCode MatRealPart_SeqSBAIJ(Mat A) 1261 { 1262 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 1263 PetscInt i,nz = a->bs2*a->i[a->mbs]; 1264 MatScalar *aa = a->a; 1265 1266 PetscFunctionBegin; 1267 for (i=0; i<nz; i++) aa[i] = PetscRealPart(aa[i]); 1268 PetscFunctionReturn(0); 1269 } 1270 1271 #undef __FUNCT__ 1272 #define __FUNCT__ "MatImaginaryPart_SeqSBAIJ" 1273 PetscErrorCode MatImaginaryPart_SeqSBAIJ(Mat A) 1274 { 1275 Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data; 1276 PetscInt i,nz = a->bs2*a->i[a->mbs]; 1277 MatScalar *aa = a->a; 1278 1279 PetscFunctionBegin; 1280 for (i=0; i<nz; i++) aa[i] = PetscImaginaryPart(aa[i]); 1281 PetscFunctionReturn(0); 1282 } 1283 1284 /* -------------------------------------------------------------------*/ 1285 static struct _MatOps MatOps_Values = {MatSetValues_SeqSBAIJ, 1286 MatGetRow_SeqSBAIJ, 1287 MatRestoreRow_SeqSBAIJ, 1288 MatMult_SeqSBAIJ_N, 1289 /* 4*/ MatMultAdd_SeqSBAIJ_N, 1290 MatMult_SeqSBAIJ_N, /* transpose versions are same as non-transpose versions */ 1291 MatMultAdd_SeqSBAIJ_N, 1292 0, 1293 0, 1294 0, 1295 /*10*/ 0, 1296 0, 1297 MatCholeskyFactor_SeqSBAIJ, 1298 MatSOR_SeqSBAIJ, 1299 MatTranspose_SeqSBAIJ, 1300 /*15*/ MatGetInfo_SeqSBAIJ, 1301 MatEqual_SeqSBAIJ, 1302 MatGetDiagonal_SeqSBAIJ, 1303 MatDiagonalScale_SeqSBAIJ, 1304 MatNorm_SeqSBAIJ, 1305 /*20*/ 0, 1306 MatAssemblyEnd_SeqSBAIJ, 1307 MatSetOption_SeqSBAIJ, 1308 MatZeroEntries_SeqSBAIJ, 1309 /*24*/ 0, 1310 0, 1311 0, 1312 0, 1313 0, 1314 /*29*/ MatSetUpPreallocation_SeqSBAIJ, 1315 0, 1316 0, 1317 MatGetArray_SeqSBAIJ, 1318 MatRestoreArray_SeqSBAIJ, 1319 /*34*/ MatDuplicate_SeqSBAIJ, 1320 0, 1321 0, 1322 0, 1323 MatICCFactor_SeqSBAIJ, 1324 /*39*/ MatAXPY_SeqSBAIJ, 1325 MatGetSubMatrices_SeqSBAIJ, 1326 MatIncreaseOverlap_SeqSBAIJ, 1327 MatGetValues_SeqSBAIJ, 1328 MatCopy_SeqSBAIJ, 1329 /*44*/ 0, 1330 MatScale_SeqSBAIJ, 1331 0, 1332 0, 1333 0, 1334 /*49*/ MatSetBlockSize_SeqSBAIJ, 1335 MatGetRowIJ_SeqSBAIJ, 1336 MatRestoreRowIJ_SeqSBAIJ, 1337 0, 1338 0, 1339 /*54*/ 0, 1340 0, 1341 0, 1342 0, 1343 MatSetValuesBlocked_SeqSBAIJ, 1344 /*59*/ MatGetSubMatrix_SeqSBAIJ, 1345 0, 1346 0, 1347 0, 1348 0, 1349 /*64*/ 0, 1350 0, 1351 0, 1352 0, 1353 0, 1354 /*69*/ MatGetRowMaxAbs_SeqSBAIJ, 1355 0, 1356 0, 1357 0, 1358 0, 1359 /*74*/ 0, 1360 0, 1361 0, 1362 0, 1363 0, 1364 /*79*/ 0, 1365 0, 1366 0, 1367 MatGetInertia_SeqSBAIJ, 1368 MatLoad_SeqSBAIJ, 1369 /*84*/ MatIsSymmetric_SeqSBAIJ, 1370 MatIsHermitian_SeqSBAIJ, 1371 MatIsStructurallySymmetric_SeqSBAIJ, 1372 0, 1373 0, 1374 /*89*/ 0, 1375 0, 1376 0, 1377 0, 1378 0, 1379 /*94*/ 0, 1380 0, 1381 0, 1382 0, 1383 0, 1384 /*99*/ 0, 1385 0, 1386 0, 1387 0, 1388 0, 1389 /*104*/0, 1390 MatRealPart_SeqSBAIJ, 1391 MatImaginaryPart_SeqSBAIJ, 1392 MatGetRowUpperTriangular_SeqSBAIJ, 1393 MatRestoreRowUpperTriangular_SeqSBAIJ, 1394 /*109*/0, 1395 0, 1396 0, 1397 0, 1398 MatMissingDiagonal_SeqSBAIJ, 1399 /*114*/0, 1400 0, 1401 0, 1402 0, 1403 0, 1404 /*119*/0, 1405 0, 1406 0 1407 }; 1408 1409 EXTERN_C_BEGIN 1410 #undef __FUNCT__ 1411 #define __FUNCT__ "MatStoreValues_SeqSBAIJ" 1412 PetscErrorCode PETSCMAT_DLLEXPORT MatStoreValues_SeqSBAIJ(Mat mat) 1413 { 1414 Mat_SeqSBAIJ *aij = (Mat_SeqSBAIJ *)mat->data; 1415 PetscInt nz = aij->i[mat->rmap->N]*mat->rmap->bs*aij->bs2; 1416 PetscErrorCode ierr; 1417 1418 PetscFunctionBegin; 1419 if (aij->nonew != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Must call MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);first"); 1420 1421 /* allocate space for values if not already there */ 1422 if (!aij->saved_values) { 1423 ierr = PetscMalloc((nz+1)*sizeof(PetscScalar),&aij->saved_values);CHKERRQ(ierr); 1424 } 1425 1426 /* copy values over */ 1427 ierr = PetscMemcpy(aij->saved_values,aij->a,nz*sizeof(PetscScalar));CHKERRQ(ierr); 1428 PetscFunctionReturn(0); 1429 } 1430 EXTERN_C_END 1431 1432 EXTERN_C_BEGIN 1433 #undef __FUNCT__ 1434 #define __FUNCT__ "MatRetrieveValues_SeqSBAIJ" 1435 PetscErrorCode PETSCMAT_DLLEXPORT MatRetrieveValues_SeqSBAIJ(Mat mat) 1436 { 1437 Mat_SeqSBAIJ *aij = (Mat_SeqSBAIJ *)mat->data; 1438 PetscErrorCode ierr; 1439 PetscInt nz = aij->i[mat->rmap->N]*mat->rmap->bs*aij->bs2; 1440 1441 PetscFunctionBegin; 1442 if (aij->nonew != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Must call MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);first"); 1443 if (!aij->saved_values) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Must call MatStoreValues(A);first"); 1444 1445 /* copy values over */ 1446 ierr = PetscMemcpy(aij->a,aij->saved_values,nz*sizeof(PetscScalar));CHKERRQ(ierr); 1447 PetscFunctionReturn(0); 1448 } 1449 EXTERN_C_END 1450 1451 EXTERN_C_BEGIN 1452 #undef __FUNCT__ 1453 #define __FUNCT__ "MatSeqSBAIJSetPreallocation_SeqSBAIJ" 1454 PetscErrorCode PETSCMAT_DLLEXPORT MatSeqSBAIJSetPreallocation_SeqSBAIJ(Mat B,PetscInt bs,PetscInt nz,PetscInt *nnz) 1455 { 1456 Mat_SeqSBAIJ *b = (Mat_SeqSBAIJ*)B->data; 1457 PetscErrorCode ierr; 1458 PetscInt i,mbs,bs2, newbs = PetscAbs(bs); 1459 PetscTruth skipallocation = PETSC_FALSE,flg = PETSC_FALSE; 1460 1461 PetscFunctionBegin; 1462 B->preallocated = PETSC_TRUE; 1463 if (bs < 0) { 1464 ierr = PetscOptionsBegin(((PetscObject)B)->comm,((PetscObject)B)->prefix,"Options for MPISBAIJ matrix","Mat");CHKERRQ(ierr); 1465 ierr = PetscOptionsInt("-mat_block_size","Set the blocksize used to store the matrix","MatSeqSBAIJSetPreallocation",newbs,&newbs,PETSC_NULL);CHKERRQ(ierr); 1466 ierr = PetscOptionsEnd();CHKERRQ(ierr); 1467 bs = PetscAbs(bs); 1468 } 1469 if (nnz && newbs != bs) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Cannot change blocksize from command line if setting nnz"); 1470 bs = newbs; 1471 1472 ierr = PetscLayoutSetBlockSize(B->rmap,bs);CHKERRQ(ierr); 1473 ierr = PetscLayoutSetBlockSize(B->cmap,bs);CHKERRQ(ierr); 1474 ierr = PetscLayoutSetUp(B->rmap);CHKERRQ(ierr); 1475 ierr = PetscLayoutSetUp(B->cmap);CHKERRQ(ierr); 1476 1477 mbs = B->rmap->N/bs; 1478 bs2 = bs*bs; 1479 1480 if (mbs*bs != B->rmap->N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Number rows, cols must be divisible by blocksize"); 1481 1482 if (nz == MAT_SKIP_ALLOCATION) { 1483 skipallocation = PETSC_TRUE; 1484 nz = 0; 1485 } 1486 1487 if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 3; 1488 if (nz < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"nz cannot be less than 0: value %D",nz); 1489 if (nnz) { 1490 for (i=0; i<mbs; i++) { 1491 if (nnz[i] < 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"nnz cannot be less than 0: local row %D value %D",i,nnz[i]); 1492 if (nnz[i] > mbs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"nnz cannot be greater than block row length: local row %D value %D rowlength %D",i,nnz[i],mbs); 1493 } 1494 } 1495 1496 B->ops->mult = MatMult_SeqSBAIJ_N; 1497 B->ops->multadd = MatMultAdd_SeqSBAIJ_N; 1498 B->ops->multtranspose = MatMult_SeqSBAIJ_N; 1499 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_N; 1500 ierr = PetscOptionsGetTruth(((PetscObject)B)->prefix,"-mat_no_unroll",&flg,PETSC_NULL);CHKERRQ(ierr); 1501 if (!flg) { 1502 switch (bs) { 1503 case 1: 1504 B->ops->mult = MatMult_SeqSBAIJ_1; 1505 B->ops->multadd = MatMultAdd_SeqSBAIJ_1; 1506 B->ops->multtranspose = MatMult_SeqSBAIJ_1; 1507 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_1; 1508 break; 1509 case 2: 1510 B->ops->mult = MatMult_SeqSBAIJ_2; 1511 B->ops->multadd = MatMultAdd_SeqSBAIJ_2; 1512 B->ops->multtranspose = MatMult_SeqSBAIJ_2; 1513 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_2; 1514 break; 1515 case 3: 1516 B->ops->mult = MatMult_SeqSBAIJ_3; 1517 B->ops->multadd = MatMultAdd_SeqSBAIJ_3; 1518 B->ops->multtranspose = MatMult_SeqSBAIJ_3; 1519 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_3; 1520 break; 1521 case 4: 1522 B->ops->mult = MatMult_SeqSBAIJ_4; 1523 B->ops->multadd = MatMultAdd_SeqSBAIJ_4; 1524 B->ops->multtranspose = MatMult_SeqSBAIJ_4; 1525 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_4; 1526 break; 1527 case 5: 1528 B->ops->mult = MatMult_SeqSBAIJ_5; 1529 B->ops->multadd = MatMultAdd_SeqSBAIJ_5; 1530 B->ops->multtranspose = MatMult_SeqSBAIJ_5; 1531 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_5; 1532 break; 1533 case 6: 1534 B->ops->mult = MatMult_SeqSBAIJ_6; 1535 B->ops->multadd = MatMultAdd_SeqSBAIJ_6; 1536 B->ops->multtranspose = MatMult_SeqSBAIJ_6; 1537 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_6; 1538 break; 1539 case 7: 1540 B->ops->mult = MatMult_SeqSBAIJ_7; 1541 B->ops->multadd = MatMultAdd_SeqSBAIJ_7; 1542 B->ops->multtranspose = MatMult_SeqSBAIJ_7; 1543 B->ops->multtransposeadd = MatMultAdd_SeqSBAIJ_7; 1544 break; 1545 } 1546 } 1547 1548 b->mbs = mbs; 1549 b->nbs = mbs; 1550 if (!skipallocation) { 1551 if (!b->imax) { 1552 ierr = PetscMalloc2(mbs,PetscInt,&b->imax,mbs,PetscInt,&b->ilen);CHKERRQ(ierr); 1553 b->free_imax_ilen = PETSC_TRUE; 1554 ierr = PetscLogObjectMemory(B,2*mbs*sizeof(PetscInt));CHKERRQ(ierr); 1555 } 1556 if (!nnz) { 1557 if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 5; 1558 else if (nz <= 0) nz = 1; 1559 for (i=0; i<mbs; i++) { 1560 b->imax[i] = nz; 1561 } 1562 nz = nz*mbs; /* total nz */ 1563 } else { 1564 nz = 0; 1565 for (i=0; i<mbs; i++) {b->imax[i] = nnz[i]; nz += nnz[i];} 1566 } 1567 /* b->ilen will count nonzeros in each block row so far. */ 1568 for (i=0; i<mbs; i++) { b->ilen[i] = 0;} 1569 /* nz=(nz+mbs)/2; */ /* total diagonal and superdiagonal nonzero blocks */ 1570 1571 /* allocate the matrix space */ 1572 ierr = MatSeqXAIJFreeAIJ(B,&b->a,&b->j,&b->i);CHKERRQ(ierr); 1573 ierr = PetscMalloc3(bs2*nz,PetscScalar,&b->a,nz,PetscInt,&b->j,B->rmap->N+1,PetscInt,&b->i);CHKERRQ(ierr); 1574 ierr = PetscLogObjectMemory(B,(B->rmap->N+1)*sizeof(PetscInt)+nz*(bs2*sizeof(PetscScalar)+sizeof(PetscInt)));CHKERRQ(ierr); 1575 ierr = PetscMemzero(b->a,nz*bs2*sizeof(MatScalar));CHKERRQ(ierr); 1576 ierr = PetscMemzero(b->j,nz*sizeof(PetscInt));CHKERRQ(ierr); 1577 b->singlemalloc = PETSC_TRUE; 1578 1579 /* pointer to beginning of each row */ 1580 b->i[0] = 0; 1581 for (i=1; i<mbs+1; i++) { 1582 b->i[i] = b->i[i-1] + b->imax[i-1]; 1583 } 1584 b->free_a = PETSC_TRUE; 1585 b->free_ij = PETSC_TRUE; 1586 } else { 1587 b->free_a = PETSC_FALSE; 1588 b->free_ij = PETSC_FALSE; 1589 } 1590 1591 B->rmap->bs = bs; 1592 b->bs2 = bs2; 1593 b->nz = 0; 1594 b->maxnz = nz*bs2; 1595 1596 b->inew = 0; 1597 b->jnew = 0; 1598 b->anew = 0; 1599 b->a2anew = 0; 1600 b->permute = PETSC_FALSE; 1601 PetscFunctionReturn(0); 1602 } 1603 EXTERN_C_END 1604 1605 /* 1606 This is used to set the numeric factorization for both Cholesky and ICC symbolic factorization 1607 */ 1608 #undef __FUNCT__ 1609 #define __FUNCT__ "MatSeqSBAIJSetNumericFactorization_inplace" 1610 PetscErrorCode MatSeqSBAIJSetNumericFactorization_inplace(Mat B,PetscTruth natural) 1611 { 1612 PetscErrorCode ierr; 1613 PetscTruth flg = PETSC_FALSE; 1614 PetscInt bs = B->rmap->bs; 1615 1616 PetscFunctionBegin; 1617 ierr = PetscOptionsGetTruth(((PetscObject)B)->prefix,"-mat_no_unroll",&flg,PETSC_NULL);CHKERRQ(ierr); 1618 if (flg) bs = 8; 1619 1620 if (!natural) { 1621 switch (bs) { 1622 case 1: 1623 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_1_inplace; 1624 break; 1625 case 2: 1626 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_2; 1627 break; 1628 case 3: 1629 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_3; 1630 break; 1631 case 4: 1632 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_4; 1633 break; 1634 case 5: 1635 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_5; 1636 break; 1637 case 6: 1638 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_6; 1639 break; 1640 case 7: 1641 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_7; 1642 break; 1643 default: 1644 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_N; 1645 break; 1646 } 1647 } else { 1648 switch (bs) { 1649 case 1: 1650 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_1_NaturalOrdering_inplace; 1651 break; 1652 case 2: 1653 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_2_NaturalOrdering; 1654 break; 1655 case 3: 1656 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_3_NaturalOrdering; 1657 break; 1658 case 4: 1659 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_4_NaturalOrdering; 1660 break; 1661 case 5: 1662 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_5_NaturalOrdering; 1663 break; 1664 case 6: 1665 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_6_NaturalOrdering; 1666 break; 1667 case 7: 1668 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_7_NaturalOrdering; 1669 break; 1670 default: 1671 B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_N_NaturalOrdering; 1672 break; 1673 } 1674 } 1675 PetscFunctionReturn(0); 1676 } 1677 1678 EXTERN_C_BEGIN 1679 EXTERN PetscErrorCode PETSCMAT_DLLEXPORT MatConvert_SeqSBAIJ_SeqAIJ(Mat, MatType,MatReuse,Mat*); 1680 EXTERN PetscErrorCode PETSCMAT_DLLEXPORT MatConvert_SeqSBAIJ_SeqBAIJ(Mat, MatType,MatReuse,Mat*); 1681 EXTERN_C_END 1682 1683 1684 EXTERN_C_BEGIN 1685 #undef __FUNCT__ 1686 #define __FUNCT__ "MatGetFactor_seqsbaij_petsc" 1687 PetscErrorCode MatGetFactor_seqsbaij_petsc(Mat A,MatFactorType ftype,Mat *B) 1688 { 1689 PetscInt n = A->rmap->n; 1690 PetscErrorCode ierr; 1691 1692 PetscFunctionBegin; 1693 ierr = MatCreate(((PetscObject)A)->comm,B);CHKERRQ(ierr); 1694 ierr = MatSetSizes(*B,n,n,n,n);CHKERRQ(ierr); 1695 if (ftype == MAT_FACTOR_CHOLESKY || ftype == MAT_FACTOR_ICC) { 1696 ierr = MatSetType(*B,MATSEQSBAIJ);CHKERRQ(ierr); 1697 ierr = MatSeqSBAIJSetPreallocation(*B,1,MAT_SKIP_ALLOCATION,PETSC_NULL);CHKERRQ(ierr); 1698 (*B)->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SeqSBAIJ; 1699 (*B)->ops->iccfactorsymbolic = MatICCFactorSymbolic_SeqSBAIJ; 1700 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Factor type not supported"); 1701 (*B)->factortype = ftype; 1702 PetscFunctionReturn(0); 1703 } 1704 EXTERN_C_END 1705 1706 EXTERN_C_BEGIN 1707 #undef __FUNCT__ 1708 #define __FUNCT__ "MatGetFactorAvailable_seqsbaij_petsc" 1709 PetscErrorCode MatGetFactorAvailable_seqsbaij_petsc(Mat A,MatFactorType ftype,PetscTruth *flg) 1710 { 1711 PetscFunctionBegin; 1712 if (ftype == MAT_FACTOR_CHOLESKY || ftype == MAT_FACTOR_ICC) { 1713 *flg = PETSC_TRUE; 1714 } else { 1715 *flg = PETSC_FALSE; 1716 } 1717 PetscFunctionReturn(0); 1718 } 1719 EXTERN_C_END 1720 1721 EXTERN_C_BEGIN 1722 #if defined(PETSC_HAVE_MUMPS) 1723 extern PetscErrorCode MatGetFactor_sbaij_mumps(Mat,MatFactorType,Mat*); 1724 #endif 1725 #if defined(PETSC_HAVE_SPOOLES) 1726 extern PetscErrorCode MatGetFactor_seqsbaij_spooles(Mat,MatFactorType,Mat*); 1727 #endif 1728 #if defined(PETSC_HAVE_PASTIX) 1729 extern PetscErrorCode MatGetFactor_seqsbaij_pastix(Mat,MatFactorType,Mat*); 1730 #endif 1731 #if defined(PETSC_HAVE_CHOLMOD) 1732 extern PetscErrorCode MatGetFactor_seqsbaij_cholmod(Mat,MatFactorType,Mat*); 1733 #endif 1734 EXTERN_C_END 1735 1736 /*MC 1737 MATSEQSBAIJ - MATSEQSBAIJ = "seqsbaij" - A matrix type to be used for sequential symmetric block sparse matrices, 1738 based on block compressed sparse row format. Only the upper triangular portion of the matrix is stored. 1739 1740 Options Database Keys: 1741 . -mat_type seqsbaij - sets the matrix type to "seqsbaij" during a call to MatSetFromOptions() 1742 1743 Level: beginner 1744 1745 .seealso: MatCreateSeqSBAIJ 1746 M*/ 1747 1748 EXTERN_C_BEGIN 1749 #undef __FUNCT__ 1750 #define __FUNCT__ "MatCreate_SeqSBAIJ" 1751 PetscErrorCode PETSCMAT_DLLEXPORT MatCreate_SeqSBAIJ(Mat B) 1752 { 1753 Mat_SeqSBAIJ *b; 1754 PetscErrorCode ierr; 1755 PetscMPIInt size; 1756 PetscTruth no_unroll = PETSC_FALSE,no_inode = PETSC_FALSE; 1757 1758 PetscFunctionBegin; 1759 ierr = MPI_Comm_size(((PetscObject)B)->comm,&size);CHKERRQ(ierr); 1760 if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Comm must be of size 1"); 1761 1762 ierr = PetscNewLog(B,Mat_SeqSBAIJ,&b);CHKERRQ(ierr); 1763 B->data = (void*)b; 1764 ierr = PetscMemcpy(B->ops,&MatOps_Values,sizeof(struct _MatOps));CHKERRQ(ierr); 1765 B->ops->destroy = MatDestroy_SeqSBAIJ; 1766 B->ops->view = MatView_SeqSBAIJ; 1767 B->mapping = 0; 1768 b->row = 0; 1769 b->icol = 0; 1770 b->reallocs = 0; 1771 b->saved_values = 0; 1772 b->inode.limit = 5; 1773 b->inode.max_limit = 5; 1774 1775 b->roworiented = PETSC_TRUE; 1776 b->nonew = 0; 1777 b->diag = 0; 1778 b->solve_work = 0; 1779 b->mult_work = 0; 1780 B->spptr = 0; 1781 B->info.nz_unneeded = (PetscReal)b->maxnz; 1782 b->keepnonzeropattern = PETSC_FALSE; 1783 b->xtoy = 0; 1784 b->XtoY = 0; 1785 1786 b->inew = 0; 1787 b->jnew = 0; 1788 b->anew = 0; 1789 b->a2anew = 0; 1790 b->permute = PETSC_FALSE; 1791 1792 b->ignore_ltriangular = PETSC_FALSE; 1793 ierr = PetscOptionsGetTruth(((PetscObject)B)->prefix,"-mat_ignore_lower_triangular",&b->ignore_ltriangular,PETSC_NULL);CHKERRQ(ierr); 1794 1795 b->getrow_utriangular = PETSC_FALSE; 1796 ierr = PetscOptionsGetTruth(((PetscObject)B)->prefix,"-mat_getrow_uppertriangular",&b->getrow_utriangular,PETSC_NULL);CHKERRQ(ierr); 1797 1798 #if defined(PETSC_HAVE_PASTIX) 1799 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatGetFactor_pastix_C", 1800 "MatGetFactor_seqsbaij_pastix", 1801 MatGetFactor_seqsbaij_pastix);CHKERRQ(ierr); 1802 #endif 1803 #if defined(PETSC_HAVE_SPOOLES) 1804 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatGetFactor_spooles_C", 1805 "MatGetFactor_seqsbaij_spooles", 1806 MatGetFactor_seqsbaij_spooles);CHKERRQ(ierr); 1807 #endif 1808 #if defined(PETSC_HAVE_MUMPS) 1809 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatGetFactor_mumps_C", 1810 "MatGetFactor_sbaij_mumps", 1811 MatGetFactor_sbaij_mumps);CHKERRQ(ierr); 1812 #endif 1813 #if defined(PETSC_HAVE_CHOLMOD) 1814 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatGetFactor_cholmod_C", 1815 "MatGetFactor_seqsbaij_cholmod", 1816 MatGetFactor_seqsbaij_cholmod);CHKERRQ(ierr); 1817 #endif 1818 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatGetFactorAvailable_petsc_C", 1819 "MatGetFactorAvailable_seqsbaij_petsc", 1820 MatGetFactorAvailable_seqsbaij_petsc);CHKERRQ(ierr); 1821 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatGetFactor_petsc_C", 1822 "MatGetFactor_seqsbaij_petsc", 1823 MatGetFactor_seqsbaij_petsc);CHKERRQ(ierr); 1824 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatStoreValues_C", 1825 "MatStoreValues_SeqSBAIJ", 1826 MatStoreValues_SeqSBAIJ);CHKERRQ(ierr); 1827 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatRetrieveValues_C", 1828 "MatRetrieveValues_SeqSBAIJ", 1829 (void*)MatRetrieveValues_SeqSBAIJ);CHKERRQ(ierr); 1830 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatSeqSBAIJSetColumnIndices_C", 1831 "MatSeqSBAIJSetColumnIndices_SeqSBAIJ", 1832 MatSeqSBAIJSetColumnIndices_SeqSBAIJ);CHKERRQ(ierr); 1833 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatConvert_seqsbaij_seqaij_C", 1834 "MatConvert_SeqSBAIJ_SeqAIJ", 1835 MatConvert_SeqSBAIJ_SeqAIJ);CHKERRQ(ierr); 1836 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatConvert_seqsbaij_seqbaij_C", 1837 "MatConvert_SeqSBAIJ_SeqBAIJ", 1838 MatConvert_SeqSBAIJ_SeqBAIJ);CHKERRQ(ierr); 1839 ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatSeqSBAIJSetPreallocation_C", 1840 "MatSeqSBAIJSetPreallocation_SeqSBAIJ", 1841 MatSeqSBAIJSetPreallocation_SeqSBAIJ);CHKERRQ(ierr); 1842 1843 B->symmetric = PETSC_TRUE; 1844 B->structurally_symmetric = PETSC_TRUE; 1845 B->symmetric_set = PETSC_TRUE; 1846 B->structurally_symmetric_set = PETSC_TRUE; 1847 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQSBAIJ);CHKERRQ(ierr); 1848 1849 ierr = PetscOptionsBegin(((PetscObject)B)->comm,((PetscObject)B)->prefix,"Options for SEQSBAIJ matrix","Mat");CHKERRQ(ierr); 1850 ierr = PetscOptionsTruth("-mat_no_unroll","Do not optimize for inodes (slower)",PETSC_NULL,no_unroll,&no_unroll,PETSC_NULL);CHKERRQ(ierr); 1851 if (no_unroll) {ierr = PetscInfo(B,"Not using Inode routines due to -mat_no_unroll\n");CHKERRQ(ierr);} 1852 ierr = PetscOptionsTruth("-mat_no_inode","Do not optimize for inodes (slower)",PETSC_NULL,no_inode,&no_inode,PETSC_NULL);CHKERRQ(ierr); 1853 if (no_inode) {ierr = PetscInfo(B,"Not using Inode routines due to -mat_no_inode\n");CHKERRQ(ierr);} 1854 ierr = PetscOptionsInt("-mat_inode_limit","Do not use inodes larger then this value",PETSC_NULL,b->inode.limit,&b->inode.limit,PETSC_NULL);CHKERRQ(ierr); 1855 ierr = PetscOptionsEnd();CHKERRQ(ierr); 1856 b->inode.use = (PetscTruth)(!(no_unroll || no_inode)); 1857 if (b->inode.limit > b->inode.max_limit) b->inode.limit = b->inode.max_limit; 1858 1859 PetscFunctionReturn(0); 1860 } 1861 EXTERN_C_END 1862 1863 #undef __FUNCT__ 1864 #define __FUNCT__ "MatSeqSBAIJSetPreallocation" 1865 /*@C 1866 MatSeqSBAIJSetPreallocation - Creates a sparse symmetric matrix in block AIJ (block 1867 compressed row) format. For good matrix assembly performance the 1868 user should preallocate the matrix storage by setting the parameter nz 1869 (or the array nnz). By setting these parameters accurately, performance 1870 during matrix assembly can be increased by more than a factor of 50. 1871 1872 Collective on Mat 1873 1874 Input Parameters: 1875 + A - the symmetric matrix 1876 . bs - size of block 1877 . nz - number of block nonzeros per block row (same for all rows) 1878 - nnz - array containing the number of block nonzeros in the upper triangular plus 1879 diagonal portion of each block (possibly different for each block row) or PETSC_NULL 1880 1881 Options Database Keys: 1882 . -mat_no_unroll - uses code that does not unroll the loops in the 1883 block calculations (much slower) 1884 . -mat_block_size - size of the blocks to use (only works if a negative bs is passed in 1885 1886 Level: intermediate 1887 1888 Notes: 1889 Specify the preallocated storage with either nz or nnz (not both). 1890 Set nz=PETSC_DEFAULT and nnz=PETSC_NULL for PETSc to control dynamic memory 1891 allocation. For additional details, see the users manual chapter on 1892 matrices. 1893 1894 You can call MatGetInfo() to get information on how effective the preallocation was; 1895 for example the fields mallocs,nz_allocated,nz_used,nz_unneeded; 1896 You can also run with the option -info and look for messages with the string 1897 malloc in them to see if additional memory allocation was needed. 1898 1899 If the nnz parameter is given then the nz parameter is ignored 1900 1901 1902 .seealso: MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateMPISBAIJ() 1903 @*/ 1904 PetscErrorCode PETSCMAT_DLLEXPORT MatSeqSBAIJSetPreallocation(Mat B,PetscInt bs,PetscInt nz,const PetscInt nnz[]) 1905 { 1906 PetscErrorCode ierr,(*f)(Mat,PetscInt,PetscInt,const PetscInt[]); 1907 1908 PetscFunctionBegin; 1909 ierr = PetscObjectQueryFunction((PetscObject)B,"MatSeqSBAIJSetPreallocation_C",(void (**)(void))&f);CHKERRQ(ierr); 1910 if (f) { 1911 ierr = (*f)(B,bs,nz,nnz);CHKERRQ(ierr); 1912 } 1913 PetscFunctionReturn(0); 1914 } 1915 1916 #undef __FUNCT__ 1917 #define __FUNCT__ "MatCreateSeqSBAIJ" 1918 /*@C 1919 MatCreateSeqSBAIJ - Creates a sparse symmetric matrix in block AIJ (block 1920 compressed row) format. For good matrix assembly performance the 1921 user should preallocate the matrix storage by setting the parameter nz 1922 (or the array nnz). By setting these parameters accurately, performance 1923 during matrix assembly can be increased by more than a factor of 50. 1924 1925 Collective on MPI_Comm 1926 1927 Input Parameters: 1928 + comm - MPI communicator, set to PETSC_COMM_SELF 1929 . bs - size of block 1930 . m - number of rows, or number of columns 1931 . nz - number of block nonzeros per block row (same for all rows) 1932 - nnz - array containing the number of block nonzeros in the upper triangular plus 1933 diagonal portion of each block (possibly different for each block row) or PETSC_NULL 1934 1935 Output Parameter: 1936 . A - the symmetric matrix 1937 1938 Options Database Keys: 1939 . -mat_no_unroll - uses code that does not unroll the loops in the 1940 block calculations (much slower) 1941 . -mat_block_size - size of the blocks to use 1942 1943 Level: intermediate 1944 1945 It is recommended that one use the MatCreate(), MatSetType() and/or MatSetFromOptions(), 1946 MatXXXXSetPreallocation() paradgm instead of this routine directly. 1947 [MatXXXXSetPreallocation() is, for example, MatSeqAIJSetPreallocation] 1948 1949 Notes: 1950 The number of rows and columns must be divisible by blocksize. 1951 This matrix type does not support complex Hermitian operation. 1952 1953 Specify the preallocated storage with either nz or nnz (not both). 1954 Set nz=PETSC_DEFAULT and nnz=PETSC_NULL for PETSc to control dynamic memory 1955 allocation. For additional details, see the users manual chapter on 1956 matrices. 1957 1958 If the nnz parameter is given then the nz parameter is ignored 1959 1960 .seealso: MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateMPISBAIJ() 1961 @*/ 1962 PetscErrorCode PETSCMAT_DLLEXPORT MatCreateSeqSBAIJ(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A) 1963 { 1964 PetscErrorCode ierr; 1965 1966 PetscFunctionBegin; 1967 ierr = MatCreate(comm,A);CHKERRQ(ierr); 1968 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 1969 ierr = MatSetType(*A,MATSEQSBAIJ);CHKERRQ(ierr); 1970 ierr = MatSeqSBAIJSetPreallocation_SeqSBAIJ(*A,bs,nz,(PetscInt*)nnz);CHKERRQ(ierr); 1971 PetscFunctionReturn(0); 1972 } 1973 1974 #undef __FUNCT__ 1975 #define __FUNCT__ "MatDuplicate_SeqSBAIJ" 1976 PetscErrorCode MatDuplicate_SeqSBAIJ(Mat A,MatDuplicateOption cpvalues,Mat *B) 1977 { 1978 Mat C; 1979 Mat_SeqSBAIJ *c,*a = (Mat_SeqSBAIJ*)A->data; 1980 PetscErrorCode ierr; 1981 PetscInt i,mbs = a->mbs,nz = a->nz,bs2 =a->bs2; 1982 1983 PetscFunctionBegin; 1984 if (a->i[mbs] != nz) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Corrupt matrix"); 1985 1986 *B = 0; 1987 ierr = MatCreate(((PetscObject)A)->comm,&C);CHKERRQ(ierr); 1988 ierr = MatSetSizes(C,A->rmap->N,A->cmap->n,A->rmap->N,A->cmap->n);CHKERRQ(ierr); 1989 ierr = MatSetType(C,MATSEQSBAIJ);CHKERRQ(ierr); 1990 ierr = PetscMemcpy(C->ops,A->ops,sizeof(struct _MatOps));CHKERRQ(ierr); 1991 c = (Mat_SeqSBAIJ*)C->data; 1992 1993 C->preallocated = PETSC_TRUE; 1994 C->factortype = A->factortype; 1995 c->row = 0; 1996 c->icol = 0; 1997 c->saved_values = 0; 1998 c->keepnonzeropattern = a->keepnonzeropattern; 1999 C->assembled = PETSC_TRUE; 2000 2001 ierr = PetscLayoutCopy(A->rmap,&C->rmap);CHKERRQ(ierr); 2002 ierr = PetscLayoutCopy(A->cmap,&C->cmap);CHKERRQ(ierr); 2003 c->bs2 = a->bs2; 2004 c->mbs = a->mbs; 2005 c->nbs = a->nbs; 2006 2007 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2008 c->imax = a->imax; 2009 c->ilen = a->ilen; 2010 c->free_imax_ilen = PETSC_FALSE; 2011 } else { 2012 ierr = PetscMalloc2((mbs+1),PetscInt,&c->imax,(mbs+1),PetscInt,&c->ilen);CHKERRQ(ierr); 2013 ierr = PetscLogObjectMemory(C,2*(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr); 2014 for (i=0; i<mbs; i++) { 2015 c->imax[i] = a->imax[i]; 2016 c->ilen[i] = a->ilen[i]; 2017 } 2018 c->free_imax_ilen = PETSC_TRUE; 2019 } 2020 2021 /* allocate the matrix space */ 2022 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2023 ierr = PetscMalloc(bs2*nz*sizeof(MatScalar),&c->a);CHKERRQ(ierr); 2024 ierr = PetscLogObjectMemory(C,nz*bs2*sizeof(MatScalar));CHKERRQ(ierr); 2025 c->singlemalloc = PETSC_FALSE; 2026 c->free_ij = PETSC_FALSE; 2027 c->parent = A; 2028 ierr = PetscObjectReference((PetscObject)A);CHKERRQ(ierr); 2029 ierr = MatSetOption(A,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_TRUE);CHKERRQ(ierr); 2030 ierr = MatSetOption(C,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_TRUE);CHKERRQ(ierr); 2031 } else { 2032 ierr = PetscMalloc3(bs2*nz,MatScalar,&c->a,nz,PetscInt,&c->j,mbs+1,PetscInt,&c->i);CHKERRQ(ierr); 2033 ierr = PetscMemcpy(c->i,a->i,(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr); 2034 ierr = PetscLogObjectMemory(C,(mbs+1)*sizeof(PetscInt) + nz*(bs2*sizeof(MatScalar) + sizeof(PetscInt)));CHKERRQ(ierr); 2035 c->singlemalloc = PETSC_TRUE; 2036 c->free_ij = PETSC_TRUE; 2037 } 2038 if (mbs > 0) { 2039 if (cpvalues != MAT_SHARE_NONZERO_PATTERN) { 2040 ierr = PetscMemcpy(c->j,a->j,nz*sizeof(PetscInt));CHKERRQ(ierr); 2041 } 2042 if (cpvalues == MAT_COPY_VALUES) { 2043 ierr = PetscMemcpy(c->a,a->a,bs2*nz*sizeof(MatScalar));CHKERRQ(ierr); 2044 } else { 2045 ierr = PetscMemzero(c->a,bs2*nz*sizeof(MatScalar));CHKERRQ(ierr); 2046 } 2047 if (a->jshort) { 2048 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2049 c->jshort = a->jshort; 2050 c->free_jshort = PETSC_FALSE; 2051 } else { 2052 ierr = PetscMalloc(nz*sizeof(unsigned short),&c->jshort);CHKERRQ(ierr); 2053 ierr = PetscLogObjectMemory(C,nz*sizeof(unsigned short));CHKERRQ(ierr); 2054 ierr = PetscMemcpy(c->jshort,a->jshort,nz*sizeof(unsigned short));CHKERRQ(ierr); 2055 c->free_jshort = PETSC_TRUE; 2056 } 2057 } 2058 } 2059 2060 c->roworiented = a->roworiented; 2061 c->nonew = a->nonew; 2062 2063 if (a->diag) { 2064 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 2065 c->diag = a->diag; 2066 c->free_diag = PETSC_FALSE; 2067 } else { 2068 ierr = PetscMalloc(mbs*sizeof(PetscInt),&c->diag);CHKERRQ(ierr); 2069 ierr = PetscLogObjectMemory(C,mbs*sizeof(PetscInt));CHKERRQ(ierr); 2070 for (i=0; i<mbs; i++) { 2071 c->diag[i] = a->diag[i]; 2072 } 2073 c->free_diag = PETSC_TRUE; 2074 } 2075 } else c->diag = 0; 2076 c->nz = a->nz; 2077 c->maxnz = bs2*a->nz; /* Since we allocate exactly the right amount */ 2078 c->solve_work = 0; 2079 c->mult_work = 0; 2080 c->free_a = PETSC_TRUE; 2081 *B = C; 2082 ierr = PetscFListDuplicate(((PetscObject)A)->qlist,&((PetscObject)C)->qlist);CHKERRQ(ierr); 2083 PetscFunctionReturn(0); 2084 } 2085 2086 #undef __FUNCT__ 2087 #define __FUNCT__ "MatLoad_SeqSBAIJ" 2088 PetscErrorCode MatLoad_SeqSBAIJ(PetscViewer viewer, const MatType type,Mat *A) 2089 { 2090 Mat_SeqSBAIJ *a; 2091 Mat B; 2092 PetscErrorCode ierr; 2093 int fd; 2094 PetscMPIInt size; 2095 PetscInt i,nz,header[4],*rowlengths=0,M,N,bs=1; 2096 PetscInt *mask,mbs,*jj,j,rowcount,nzcount,k,*s_browlengths,maskcount; 2097 PetscInt kmax,jcount,block,idx,point,nzcountb,extra_rows; 2098 PetscInt *masked,nmask,tmp,bs2,ishift; 2099 PetscScalar *aa; 2100 MPI_Comm comm = ((PetscObject)viewer)->comm; 2101 2102 PetscFunctionBegin; 2103 ierr = PetscOptionsGetInt(PETSC_NULL,"-matload_block_size",&bs,PETSC_NULL);CHKERRQ(ierr); 2104 bs2 = bs*bs; 2105 2106 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 2107 if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"view must have one processor"); 2108 ierr = PetscViewerBinaryGetDescriptor(viewer,&fd);CHKERRQ(ierr); 2109 ierr = PetscBinaryRead(fd,header,4,PETSC_INT);CHKERRQ(ierr); 2110 if (header[0] != MAT_FILE_CLASSID) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"not Mat object"); 2111 M = header[1]; N = header[2]; nz = header[3]; 2112 2113 if (header[3] < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"Matrix stored in special format, cannot load as SeqSBAIJ"); 2114 2115 if (M != N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Can only do square matrices"); 2116 2117 /* 2118 This code adds extra rows to make sure the number of rows is 2119 divisible by the blocksize 2120 */ 2121 mbs = M/bs; 2122 extra_rows = bs - M + bs*(mbs); 2123 if (extra_rows == bs) extra_rows = 0; 2124 else mbs++; 2125 if (extra_rows) { 2126 ierr = PetscInfo(viewer,"Padding loaded matrix to match blocksize\n");CHKERRQ(ierr); 2127 } 2128 2129 /* read in row lengths */ 2130 ierr = PetscMalloc((M+extra_rows)*sizeof(PetscInt),&rowlengths);CHKERRQ(ierr); 2131 ierr = PetscBinaryRead(fd,rowlengths,M,PETSC_INT);CHKERRQ(ierr); 2132 for (i=0; i<extra_rows; i++) rowlengths[M+i] = 1; 2133 2134 /* read in column indices */ 2135 ierr = PetscMalloc((nz+extra_rows)*sizeof(PetscInt),&jj);CHKERRQ(ierr); 2136 ierr = PetscBinaryRead(fd,jj,nz,PETSC_INT);CHKERRQ(ierr); 2137 for (i=0; i<extra_rows; i++) jj[nz+i] = M+i; 2138 2139 /* loop over row lengths determining block row lengths */ 2140 ierr = PetscMalloc(mbs*sizeof(PetscInt),&s_browlengths);CHKERRQ(ierr); 2141 ierr = PetscMemzero(s_browlengths,mbs*sizeof(PetscInt));CHKERRQ(ierr); 2142 ierr = PetscMalloc2(mbs,PetscInt,&mask,mbs,PetscInt,&masked);CHKERRQ(ierr); 2143 ierr = PetscMemzero(mask,mbs*sizeof(PetscInt));CHKERRQ(ierr); 2144 rowcount = 0; 2145 nzcount = 0; 2146 for (i=0; i<mbs; i++) { 2147 nmask = 0; 2148 for (j=0; j<bs; j++) { 2149 kmax = rowlengths[rowcount]; 2150 for (k=0; k<kmax; k++) { 2151 tmp = jj[nzcount++]/bs; /* block col. index */ 2152 if (!mask[tmp] && tmp >= i) {masked[nmask++] = tmp; mask[tmp] = 1;} 2153 } 2154 rowcount++; 2155 } 2156 s_browlengths[i] += nmask; 2157 2158 /* zero out the mask elements we set */ 2159 for (j=0; j<nmask; j++) mask[masked[j]] = 0; 2160 } 2161 2162 /* create our matrix */ 2163 ierr = MatCreate(comm,&B);CHKERRQ(ierr); 2164 ierr = MatSetSizes(B,M+extra_rows,N+extra_rows,M+extra_rows,N+extra_rows);CHKERRQ(ierr); 2165 ierr = MatSetType(B,type);CHKERRQ(ierr); 2166 ierr = MatSeqSBAIJSetPreallocation_SeqSBAIJ(B,bs,0,s_browlengths);CHKERRQ(ierr); 2167 a = (Mat_SeqSBAIJ*)B->data; 2168 2169 /* set matrix "i" values */ 2170 a->i[0] = 0; 2171 for (i=1; i<= mbs; i++) { 2172 a->i[i] = a->i[i-1] + s_browlengths[i-1]; 2173 a->ilen[i-1] = s_browlengths[i-1]; 2174 } 2175 a->nz = a->i[mbs]; 2176 2177 /* read in nonzero values */ 2178 ierr = PetscMalloc((nz+extra_rows)*sizeof(PetscScalar),&aa);CHKERRQ(ierr); 2179 ierr = PetscBinaryRead(fd,aa,nz,PETSC_SCALAR);CHKERRQ(ierr); 2180 for (i=0; i<extra_rows; i++) aa[nz+i] = 1.0; 2181 2182 /* set "a" and "j" values into matrix */ 2183 nzcount = 0; jcount = 0; 2184 for (i=0; i<mbs; i++) { 2185 nzcountb = nzcount; 2186 nmask = 0; 2187 for (j=0; j<bs; j++) { 2188 kmax = rowlengths[i*bs+j]; 2189 for (k=0; k<kmax; k++) { 2190 tmp = jj[nzcount++]/bs; /* block col. index */ 2191 if (!mask[tmp] && tmp >= i) { masked[nmask++] = tmp; mask[tmp] = 1;} 2192 } 2193 } 2194 /* sort the masked values */ 2195 ierr = PetscSortInt(nmask,masked);CHKERRQ(ierr); 2196 2197 /* set "j" values into matrix */ 2198 maskcount = 1; 2199 for (j=0; j<nmask; j++) { 2200 a->j[jcount++] = masked[j]; 2201 mask[masked[j]] = maskcount++; 2202 } 2203 2204 /* set "a" values into matrix */ 2205 ishift = bs2*a->i[i]; 2206 for (j=0; j<bs; j++) { 2207 kmax = rowlengths[i*bs+j]; 2208 for (k=0; k<kmax; k++) { 2209 tmp = jj[nzcountb]/bs ; /* block col. index */ 2210 if (tmp >= i){ 2211 block = mask[tmp] - 1; 2212 point = jj[nzcountb] - bs*tmp; 2213 idx = ishift + bs2*block + j + bs*point; 2214 a->a[idx] = aa[nzcountb]; 2215 } 2216 nzcountb++; 2217 } 2218 } 2219 /* zero out the mask elements we set */ 2220 for (j=0; j<nmask; j++) mask[masked[j]] = 0; 2221 } 2222 if (jcount != a->nz) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"Bad binary matrix"); 2223 2224 ierr = PetscFree(rowlengths);CHKERRQ(ierr); 2225 ierr = PetscFree(s_browlengths);CHKERRQ(ierr); 2226 ierr = PetscFree(aa);CHKERRQ(ierr); 2227 ierr = PetscFree(jj);CHKERRQ(ierr); 2228 ierr = PetscFree2(mask,masked);CHKERRQ(ierr); 2229 2230 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2231 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2232 ierr = MatView_Private(B);CHKERRQ(ierr); 2233 *A = B; 2234 PetscFunctionReturn(0); 2235 } 2236 2237 #undef __FUNCT__ 2238 #define __FUNCT__ "MatCreateSeqSBAIJWithArrays" 2239 /*@ 2240 MatCreateSeqSBAIJWithArrays - Creates an sequential SBAIJ matrix using matrix elements 2241 (upper triangular entries in CSR format) provided by the user. 2242 2243 Collective on MPI_Comm 2244 2245 Input Parameters: 2246 + comm - must be an MPI communicator of size 1 2247 . bs - size of block 2248 . m - number of rows 2249 . n - number of columns 2250 . i - row indices 2251 . j - column indices 2252 - a - matrix values 2253 2254 Output Parameter: 2255 . mat - the matrix 2256 2257 Level: intermediate 2258 2259 Notes: 2260 The i, j, and a arrays are not copied by this routine, the user must free these arrays 2261 once the matrix is destroyed 2262 2263 You cannot set new nonzero locations into this matrix, that will generate an error. 2264 2265 The i and j indices are 0 based 2266 2267 .seealso: MatCreate(), MatCreateMPISBAIJ(), MatCreateSeqSBAIJ() 2268 2269 @*/ 2270 PetscErrorCode PETSCMAT_DLLEXPORT MatCreateSeqSBAIJWithArrays(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt* i,PetscInt*j,PetscScalar *a,Mat *mat) 2271 { 2272 PetscErrorCode ierr; 2273 PetscInt ii; 2274 Mat_SeqSBAIJ *sbaij; 2275 2276 PetscFunctionBegin; 2277 if (bs != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"block size %D > 1 is not supported yet",bs); 2278 if (i[0]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"i (row indices) must start with 0"); 2279 2280 ierr = MatCreate(comm,mat);CHKERRQ(ierr); 2281 ierr = MatSetSizes(*mat,m,n,m,n);CHKERRQ(ierr); 2282 ierr = MatSetType(*mat,MATSEQSBAIJ);CHKERRQ(ierr); 2283 ierr = MatSeqSBAIJSetPreallocation_SeqSBAIJ(*mat,bs,MAT_SKIP_ALLOCATION,0);CHKERRQ(ierr); 2284 sbaij = (Mat_SeqSBAIJ*)(*mat)->data; 2285 ierr = PetscMalloc2(m,PetscInt,&sbaij->imax,m,PetscInt,&sbaij->ilen);CHKERRQ(ierr); 2286 ierr = PetscLogObjectMemory(*mat,2*m*sizeof(PetscInt));CHKERRQ(ierr); 2287 2288 sbaij->i = i; 2289 sbaij->j = j; 2290 sbaij->a = a; 2291 sbaij->singlemalloc = PETSC_FALSE; 2292 sbaij->nonew = -1; /*this indicates that inserting a new value in the matrix that generates a new nonzero is an error*/ 2293 sbaij->free_a = PETSC_FALSE; 2294 sbaij->free_ij = PETSC_FALSE; 2295 2296 for (ii=0; ii<m; ii++) { 2297 sbaij->ilen[ii] = sbaij->imax[ii] = i[ii+1] - i[ii]; 2298 #if defined(PETSC_USE_DEBUG) 2299 if (i[ii+1] - i[ii] < 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row length in i (row indices) row = %d length = %d",ii,i[ii+1] - i[ii]); 2300 #endif 2301 } 2302 #if defined(PETSC_USE_DEBUG) 2303 for (ii=0; ii<sbaij->i[m]; ii++) { 2304 if (j[ii] < 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative column index at location = %d index = %d",ii,j[ii]); 2305 if (j[ii] > n - 1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column index to large at location = %d index = %d",ii,j[ii]); 2306 } 2307 #endif 2308 2309 ierr = MatAssemblyBegin(*mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2310 ierr = MatAssemblyEnd(*mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2311 PetscFunctionReturn(0); 2312 } 2313 2314 2315 2316 2317 2318