1 2 /* 3 Defines the basic matrix operations for sequential dense. 4 */ 5 6 #include <../src/mat/impls/dense/seq/dense.h> /*I "petscmat.h" I*/ 7 #include <petscblaslapack.h> 8 9 #include <../src/mat/impls/aij/seq/aij.h> 10 11 PetscErrorCode MatSeqDenseSymmetrize_Private(Mat A, PetscBool hermitian) 12 { 13 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 14 PetscInt j, k, n = A->rmap->n; 15 PetscScalar *v; 16 PetscErrorCode ierr; 17 18 PetscFunctionBegin; 19 if (A->rmap->n != A->cmap->n) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_SUP,"Cannot symmetrize a rectangular matrix"); 20 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 21 if (!hermitian) { 22 for (k=0;k<n;k++) { 23 for (j=k;j<n;j++) { 24 v[j*mat->lda + k] = v[k*mat->lda + j]; 25 } 26 } 27 } else { 28 for (k=0;k<n;k++) { 29 for (j=k;j<n;j++) { 30 v[j*mat->lda + k] = PetscConj(v[k*mat->lda + j]); 31 } 32 } 33 } 34 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 35 PetscFunctionReturn(0); 36 } 37 38 PETSC_EXTERN PetscErrorCode MatSeqDenseInvertFactors_Private(Mat A) 39 { 40 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 41 PetscErrorCode ierr; 42 PetscBLASInt info,n; 43 44 PetscFunctionBegin; 45 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 46 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 47 if (A->factortype == MAT_FACTOR_LU) { 48 if (!mat->pivots) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Pivots not present"); 49 if (!mat->fwork) { 50 mat->lfwork = n; 51 ierr = PetscMalloc1(mat->lfwork,&mat->fwork);CHKERRQ(ierr); 52 ierr = PetscLogObjectMemory((PetscObject)A,mat->lfwork*sizeof(PetscBLASInt));CHKERRQ(ierr); 53 } 54 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 55 PetscStackCallBLAS("LAPACKgetri",LAPACKgetri_(&n,mat->v,&mat->lda,mat->pivots,mat->fwork,&mat->lfwork,&info)); 56 ierr = PetscFPTrapPop();CHKERRQ(ierr); 57 ierr = PetscLogFlops((1.0*A->cmap->n*A->cmap->n*A->cmap->n)/3.0);CHKERRQ(ierr); 58 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 59 if (A->spd) { 60 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 61 PetscStackCallBLAS("LAPACKpotri",LAPACKpotri_("L",&n,mat->v,&mat->lda,&info)); 62 ierr = PetscFPTrapPop();CHKERRQ(ierr); 63 ierr = MatSeqDenseSymmetrize_Private(A,PETSC_TRUE);CHKERRQ(ierr); 64 #if defined(PETSC_USE_COMPLEX) 65 } else if (A->hermitian) { 66 if (!mat->pivots) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Pivots not present"); 67 if (!mat->fwork) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Fwork not present"); 68 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 69 PetscStackCallBLAS("LAPACKhetri",LAPACKhetri_("L",&n,mat->v,&mat->lda,mat->pivots,mat->fwork,&info)); 70 ierr = PetscFPTrapPop();CHKERRQ(ierr); 71 ierr = MatSeqDenseSymmetrize_Private(A,PETSC_TRUE);CHKERRQ(ierr); 72 #endif 73 } else { /* symmetric case */ 74 if (!mat->pivots) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Pivots not present"); 75 if (!mat->fwork) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Fwork not present"); 76 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 77 PetscStackCallBLAS("LAPACKsytri",LAPACKsytri_("L",&n,mat->v,&mat->lda,mat->pivots,mat->fwork,&info)); 78 ierr = PetscFPTrapPop();CHKERRQ(ierr); 79 ierr = MatSeqDenseSymmetrize_Private(A,PETSC_FALSE);CHKERRQ(ierr); 80 } 81 if (info) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_MAT_CH_ZRPVT,"Bad Inversion: zero pivot in row %D",(PetscInt)info-1); 82 ierr = PetscLogFlops((1.0*A->cmap->n*A->cmap->n*A->cmap->n)/3.0);CHKERRQ(ierr); 83 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Matrix must be factored to solve"); 84 85 A->ops->solve = NULL; 86 A->ops->matsolve = NULL; 87 A->ops->solvetranspose = NULL; 88 A->ops->matsolvetranspose = NULL; 89 A->ops->solveadd = NULL; 90 A->ops->solvetransposeadd = NULL; 91 A->factortype = MAT_FACTOR_NONE; 92 ierr = PetscFree(A->solvertype);CHKERRQ(ierr); 93 PetscFunctionReturn(0); 94 } 95 96 PetscErrorCode MatZeroRowsColumns_SeqDense(Mat A,PetscInt N,const PetscInt rows[],PetscScalar diag,Vec x,Vec b) 97 { 98 PetscErrorCode ierr; 99 Mat_SeqDense *l = (Mat_SeqDense*)A->data; 100 PetscInt m = l->lda, n = A->cmap->n,r = A->rmap->n, i,j; 101 PetscScalar *slot,*bb,*v; 102 const PetscScalar *xx; 103 104 PetscFunctionBegin; 105 if (PetscDefined(USE_DEBUG)) { 106 for (i=0; i<N; i++) { 107 if (rows[i] < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row requested to be zeroed"); 108 if (rows[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D requested to be zeroed greater than or equal number of rows %D",rows[i],A->rmap->n); 109 if (rows[i] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Col %D requested to be zeroed greater than or equal number of cols %D",rows[i],A->cmap->n); 110 } 111 } 112 if (!N) PetscFunctionReturn(0); 113 114 /* fix right hand side if needed */ 115 if (x && b) { 116 Vec xt; 117 118 if (A->rmap->n != A->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only coded for square matrices"); 119 ierr = VecDuplicate(x,&xt);CHKERRQ(ierr); 120 ierr = VecCopy(x,xt);CHKERRQ(ierr); 121 ierr = VecScale(xt,-1.0);CHKERRQ(ierr); 122 ierr = MatMultAdd(A,xt,b,b);CHKERRQ(ierr); 123 ierr = VecDestroy(&xt);CHKERRQ(ierr); 124 ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr); 125 ierr = VecGetArray(b,&bb);CHKERRQ(ierr); 126 for (i=0; i<N; i++) bb[rows[i]] = diag*xx[rows[i]]; 127 ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr); 128 ierr = VecRestoreArray(b,&bb);CHKERRQ(ierr); 129 } 130 131 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 132 for (i=0; i<N; i++) { 133 slot = v + rows[i]*m; 134 ierr = PetscArrayzero(slot,r);CHKERRQ(ierr); 135 } 136 for (i=0; i<N; i++) { 137 slot = v + rows[i]; 138 for (j=0; j<n; j++) { *slot = 0.0; slot += m;} 139 } 140 if (diag != 0.0) { 141 if (A->rmap->n != A->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only coded for square matrices"); 142 for (i=0; i<N; i++) { 143 slot = v + (m+1)*rows[i]; 144 *slot = diag; 145 } 146 } 147 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 148 PetscFunctionReturn(0); 149 } 150 151 PetscErrorCode MatPtAPNumeric_SeqDense_SeqDense(Mat A,Mat P,Mat C) 152 { 153 Mat_SeqDense *c = (Mat_SeqDense*)(C->data); 154 PetscErrorCode ierr; 155 156 PetscFunctionBegin; 157 if (c->ptapwork) { 158 ierr = (*C->ops->matmultnumeric)(A,P,c->ptapwork);CHKERRQ(ierr); 159 ierr = (*C->ops->transposematmultnumeric)(P,c->ptapwork,C);CHKERRQ(ierr); 160 } else SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_SUP,"Must call MatPtAPSymbolic_SeqDense_SeqDense() first"); 161 PetscFunctionReturn(0); 162 } 163 164 PetscErrorCode MatPtAPSymbolic_SeqDense_SeqDense(Mat A,Mat P,PetscReal fill,Mat C) 165 { 166 Mat_SeqDense *c; 167 PetscBool cisdense; 168 PetscErrorCode ierr; 169 170 PetscFunctionBegin; 171 ierr = MatSetSizes(C,P->cmap->n,P->cmap->n,P->cmap->N,P->cmap->N);CHKERRQ(ierr); 172 ierr = PetscObjectTypeCompareAny((PetscObject)C,&cisdense,MATSEQDENSE,MATSEQDENSECUDA,"");CHKERRQ(ierr); 173 if (!cisdense) { 174 PetscBool flg; 175 176 ierr = PetscObjectTypeCompare((PetscObject)P,((PetscObject)A)->type_name,&flg);CHKERRQ(ierr); 177 ierr = MatSetType(C,flg ? ((PetscObject)A)->type_name : MATDENSE);CHKERRQ(ierr); 178 } 179 ierr = MatSetUp(C);CHKERRQ(ierr); 180 c = (Mat_SeqDense*)C->data; 181 ierr = MatCreate(PetscObjectComm((PetscObject)A),&c->ptapwork);CHKERRQ(ierr); 182 ierr = MatSetSizes(c->ptapwork,A->rmap->n,P->cmap->n,A->rmap->N,P->cmap->N);CHKERRQ(ierr); 183 ierr = MatSetType(c->ptapwork,((PetscObject)C)->type_name);CHKERRQ(ierr); 184 ierr = MatSetUp(c->ptapwork);CHKERRQ(ierr); 185 PetscFunctionReturn(0); 186 } 187 188 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqDense(Mat A,MatType newtype,MatReuse reuse,Mat *newmat) 189 { 190 Mat B = NULL; 191 Mat_SeqAIJ *a = (Mat_SeqAIJ*)A->data; 192 Mat_SeqDense *b; 193 PetscErrorCode ierr; 194 PetscInt *ai=a->i,*aj=a->j,m=A->rmap->N,n=A->cmap->N,i; 195 MatScalar *av=a->a; 196 PetscBool isseqdense; 197 198 PetscFunctionBegin; 199 if (reuse == MAT_REUSE_MATRIX) { 200 ierr = PetscObjectTypeCompare((PetscObject)*newmat,MATSEQDENSE,&isseqdense);CHKERRQ(ierr); 201 if (!isseqdense) SETERRQ1(PetscObjectComm((PetscObject)*newmat),PETSC_ERR_USER,"Cannot reuse matrix of type %s",((PetscObject)(*newmat))->type_name); 202 } 203 if (reuse != MAT_REUSE_MATRIX) { 204 ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr); 205 ierr = MatSetSizes(B,m,n,m,n);CHKERRQ(ierr); 206 ierr = MatSetType(B,MATSEQDENSE);CHKERRQ(ierr); 207 ierr = MatSeqDenseSetPreallocation(B,NULL);CHKERRQ(ierr); 208 b = (Mat_SeqDense*)(B->data); 209 } else { 210 b = (Mat_SeqDense*)((*newmat)->data); 211 ierr = PetscArrayzero(b->v,m*n);CHKERRQ(ierr); 212 } 213 for (i=0; i<m; i++) { 214 PetscInt j; 215 for (j=0;j<ai[1]-ai[0];j++) { 216 b->v[*aj*m+i] = *av; 217 aj++; 218 av++; 219 } 220 ai++; 221 } 222 223 if (reuse == MAT_INPLACE_MATRIX) { 224 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 225 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 226 ierr = MatHeaderReplace(A,&B);CHKERRQ(ierr); 227 } else { 228 if (B) *newmat = B; 229 ierr = MatAssemblyBegin(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 230 ierr = MatAssemblyEnd(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 231 } 232 PetscFunctionReturn(0); 233 } 234 235 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_SeqAIJ(Mat A, MatType newtype,MatReuse reuse,Mat *newmat) 236 { 237 Mat B; 238 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 239 PetscErrorCode ierr; 240 PetscInt i, j; 241 PetscInt *rows, *nnz; 242 MatScalar *aa = a->v, *vals; 243 244 PetscFunctionBegin; 245 ierr = MatCreate(PetscObjectComm((PetscObject)A),&B);CHKERRQ(ierr); 246 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 247 ierr = MatSetType(B,MATSEQAIJ);CHKERRQ(ierr); 248 ierr = PetscCalloc3(A->rmap->n,&rows,A->rmap->n,&nnz,A->rmap->n,&vals);CHKERRQ(ierr); 249 for (j=0; j<A->cmap->n; j++) { 250 for (i=0; i<A->rmap->n; i++) if (aa[i] != 0.0 || i == j) ++nnz[i]; 251 aa += a->lda; 252 } 253 ierr = MatSeqAIJSetPreallocation(B,PETSC_DETERMINE,nnz);CHKERRQ(ierr); 254 aa = a->v; 255 for (j=0; j<A->cmap->n; j++) { 256 PetscInt numRows = 0; 257 for (i=0; i<A->rmap->n; i++) if (aa[i] != 0.0 || i == j) {rows[numRows] = i; vals[numRows++] = aa[i];} 258 ierr = MatSetValues(B,numRows,rows,1,&j,vals,INSERT_VALUES);CHKERRQ(ierr); 259 aa += a->lda; 260 } 261 ierr = PetscFree3(rows,nnz,vals);CHKERRQ(ierr); 262 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 263 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 264 265 if (reuse == MAT_INPLACE_MATRIX) { 266 ierr = MatHeaderReplace(A,&B);CHKERRQ(ierr); 267 } else { 268 *newmat = B; 269 } 270 PetscFunctionReturn(0); 271 } 272 273 PetscErrorCode MatAXPY_SeqDense(Mat Y,PetscScalar alpha,Mat X,MatStructure str) 274 { 275 Mat_SeqDense *x = (Mat_SeqDense*)X->data,*y = (Mat_SeqDense*)Y->data; 276 const PetscScalar *xv; 277 PetscScalar *yv; 278 PetscBLASInt N,m,ldax,lday,one = 1; 279 PetscErrorCode ierr; 280 281 PetscFunctionBegin; 282 ierr = MatDenseGetArrayRead(X,&xv);CHKERRQ(ierr); 283 ierr = MatDenseGetArray(Y,&yv);CHKERRQ(ierr); 284 ierr = PetscBLASIntCast(X->rmap->n*X->cmap->n,&N);CHKERRQ(ierr); 285 ierr = PetscBLASIntCast(X->rmap->n,&m);CHKERRQ(ierr); 286 ierr = PetscBLASIntCast(x->lda,&ldax);CHKERRQ(ierr); 287 ierr = PetscBLASIntCast(y->lda,&lday);CHKERRQ(ierr); 288 if (ldax>m || lday>m) { 289 PetscInt j; 290 291 for (j=0; j<X->cmap->n; j++) { 292 PetscStackCallBLAS("BLASaxpy",BLASaxpy_(&m,&alpha,xv+j*ldax,&one,yv+j*lday,&one)); 293 } 294 } else { 295 PetscStackCallBLAS("BLASaxpy",BLASaxpy_(&N,&alpha,xv,&one,yv,&one)); 296 } 297 ierr = MatDenseRestoreArrayRead(X,&xv);CHKERRQ(ierr); 298 ierr = MatDenseRestoreArray(Y,&yv);CHKERRQ(ierr); 299 ierr = PetscLogFlops(PetscMax(2*N-1,0));CHKERRQ(ierr); 300 PetscFunctionReturn(0); 301 } 302 303 static PetscErrorCode MatGetInfo_SeqDense(Mat A,MatInfoType flag,MatInfo *info) 304 { 305 PetscLogDouble N = A->rmap->n*A->cmap->n; 306 307 PetscFunctionBegin; 308 info->block_size = 1.0; 309 info->nz_allocated = N; 310 info->nz_used = N; 311 info->nz_unneeded = 0; 312 info->assemblies = A->num_ass; 313 info->mallocs = 0; 314 info->memory = ((PetscObject)A)->mem; 315 info->fill_ratio_given = 0; 316 info->fill_ratio_needed = 0; 317 info->factor_mallocs = 0; 318 PetscFunctionReturn(0); 319 } 320 321 PetscErrorCode MatScale_SeqDense(Mat A,PetscScalar alpha) 322 { 323 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 324 PetscScalar *v; 325 PetscErrorCode ierr; 326 PetscBLASInt one = 1,j,nz,lda; 327 328 PetscFunctionBegin; 329 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 330 ierr = PetscBLASIntCast(a->lda,&lda);CHKERRQ(ierr); 331 if (lda>A->rmap->n) { 332 ierr = PetscBLASIntCast(A->rmap->n,&nz);CHKERRQ(ierr); 333 for (j=0; j<A->cmap->n; j++) { 334 PetscStackCallBLAS("BLASscal",BLASscal_(&nz,&alpha,v+j*lda,&one)); 335 } 336 } else { 337 ierr = PetscBLASIntCast(A->rmap->n*A->cmap->n,&nz);CHKERRQ(ierr); 338 PetscStackCallBLAS("BLASscal",BLASscal_(&nz,&alpha,v,&one)); 339 } 340 ierr = PetscLogFlops(nz);CHKERRQ(ierr); 341 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 342 PetscFunctionReturn(0); 343 } 344 345 static PetscErrorCode MatIsHermitian_SeqDense(Mat A,PetscReal rtol,PetscBool *fl) 346 { 347 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 348 PetscInt i,j,m = A->rmap->n,N = a->lda; 349 const PetscScalar *v; 350 PetscErrorCode ierr; 351 352 PetscFunctionBegin; 353 *fl = PETSC_FALSE; 354 if (A->rmap->n != A->cmap->n) PetscFunctionReturn(0); 355 ierr = MatDenseGetArrayRead(A,&v);CHKERRQ(ierr); 356 for (i=0; i<m; i++) { 357 for (j=i; j<m; j++) { 358 if (PetscAbsScalar(v[i+j*N] - PetscConj(v[j+i*N])) > rtol) { 359 goto restore; 360 } 361 } 362 } 363 *fl = PETSC_TRUE; 364 restore: 365 ierr = MatDenseRestoreArrayRead(A,&v);CHKERRQ(ierr); 366 PetscFunctionReturn(0); 367 } 368 369 static PetscErrorCode MatIsSymmetric_SeqDense(Mat A,PetscReal rtol,PetscBool *fl) 370 { 371 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 372 PetscInt i,j,m = A->rmap->n,N = a->lda; 373 const PetscScalar *v; 374 PetscErrorCode ierr; 375 376 PetscFunctionBegin; 377 *fl = PETSC_FALSE; 378 if (A->rmap->n != A->cmap->n) PetscFunctionReturn(0); 379 ierr = MatDenseGetArrayRead(A,&v);CHKERRQ(ierr); 380 for (i=0; i<m; i++) { 381 for (j=i; j<m; j++) { 382 if (PetscAbsScalar(v[i+j*N] - v[j+i*N]) > rtol) { 383 goto restore; 384 } 385 } 386 } 387 *fl = PETSC_TRUE; 388 restore: 389 ierr = MatDenseRestoreArrayRead(A,&v);CHKERRQ(ierr); 390 PetscFunctionReturn(0); 391 } 392 393 PetscErrorCode MatDuplicateNoCreate_SeqDense(Mat newi,Mat A,MatDuplicateOption cpvalues) 394 { 395 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 396 PetscErrorCode ierr; 397 PetscInt lda = (PetscInt)mat->lda,j,m,nlda = lda; 398 399 PetscFunctionBegin; 400 ierr = PetscLayoutReference(A->rmap,&newi->rmap);CHKERRQ(ierr); 401 ierr = PetscLayoutReference(A->cmap,&newi->cmap);CHKERRQ(ierr); 402 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { /* propagate LDA */ 403 ierr = MatDenseSetLDA(newi,lda);CHKERRQ(ierr); 404 } 405 ierr = MatSeqDenseSetPreallocation(newi,NULL);CHKERRQ(ierr); 406 if (cpvalues == MAT_COPY_VALUES) { 407 const PetscScalar *av; 408 PetscScalar *v; 409 410 ierr = MatDenseGetArrayRead(A,&av);CHKERRQ(ierr); 411 ierr = MatDenseGetArray(newi,&v);CHKERRQ(ierr); 412 ierr = MatDenseGetLDA(newi,&nlda);CHKERRQ(ierr); 413 m = A->rmap->n; 414 if (lda>m || nlda>m) { 415 for (j=0; j<A->cmap->n; j++) { 416 ierr = PetscArraycpy(v+j*nlda,av+j*lda,m);CHKERRQ(ierr); 417 } 418 } else { 419 ierr = PetscArraycpy(v,av,A->rmap->n*A->cmap->n);CHKERRQ(ierr); 420 } 421 ierr = MatDenseRestoreArray(newi,&v);CHKERRQ(ierr); 422 ierr = MatDenseRestoreArrayRead(A,&av);CHKERRQ(ierr); 423 } 424 PetscFunctionReturn(0); 425 } 426 427 PetscErrorCode MatDuplicate_SeqDense(Mat A,MatDuplicateOption cpvalues,Mat *newmat) 428 { 429 PetscErrorCode ierr; 430 431 PetscFunctionBegin; 432 ierr = MatCreate(PetscObjectComm((PetscObject)A),newmat);CHKERRQ(ierr); 433 ierr = MatSetSizes(*newmat,A->rmap->n,A->cmap->n,A->rmap->n,A->cmap->n);CHKERRQ(ierr); 434 ierr = MatSetType(*newmat,((PetscObject)A)->type_name);CHKERRQ(ierr); 435 ierr = MatDuplicateNoCreate_SeqDense(*newmat,A,cpvalues);CHKERRQ(ierr); 436 PetscFunctionReturn(0); 437 } 438 439 static PetscErrorCode MatLUFactorNumeric_SeqDense(Mat fact,Mat A,const MatFactorInfo *info_dummy) 440 { 441 MatFactorInfo info; 442 PetscErrorCode ierr; 443 444 PetscFunctionBegin; 445 ierr = MatDuplicateNoCreate_SeqDense(fact,A,MAT_COPY_VALUES);CHKERRQ(ierr); 446 ierr = (*fact->ops->lufactor)(fact,0,0,&info);CHKERRQ(ierr); 447 PetscFunctionReturn(0); 448 } 449 450 static PetscErrorCode MatSolve_SeqDense(Mat A,Vec xx,Vec yy) 451 { 452 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 453 PetscErrorCode ierr; 454 const PetscScalar *x; 455 PetscScalar *y; 456 PetscBLASInt one = 1,info,m; 457 458 PetscFunctionBegin; 459 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 460 ierr = VecGetArrayRead(xx,&x);CHKERRQ(ierr); 461 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 462 ierr = PetscArraycpy(y,x,A->rmap->n);CHKERRQ(ierr); 463 if (A->factortype == MAT_FACTOR_LU) { 464 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 465 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 466 ierr = PetscFPTrapPop();CHKERRQ(ierr); 467 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"GETRS - Bad solve"); 468 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 469 if (A->spd) { 470 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 471 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&one,mat->v,&mat->lda,y,&m,&info)); 472 ierr = PetscFPTrapPop();CHKERRQ(ierr); 473 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS Bad solve"); 474 #if defined(PETSC_USE_COMPLEX) 475 } else if (A->hermitian) { 476 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 477 PetscStackCallBLAS("LAPACKhetrs",LAPACKhetrs_("L",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 478 ierr = PetscFPTrapPop();CHKERRQ(ierr); 479 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"HETRS Bad solve"); 480 #endif 481 } else { /* symmetric case */ 482 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 483 PetscStackCallBLAS("LAPACKsytrs",LAPACKsytrs_("L",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 484 ierr = PetscFPTrapPop();CHKERRQ(ierr); 485 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"SYTRS Bad solve"); 486 } 487 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Matrix must be factored to solve"); 488 ierr = VecRestoreArrayRead(xx,&x);CHKERRQ(ierr); 489 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 490 ierr = PetscLogFlops(2.0*A->cmap->n*A->cmap->n - A->cmap->n);CHKERRQ(ierr); 491 PetscFunctionReturn(0); 492 } 493 494 static PetscErrorCode MatMatSolve_SeqDense(Mat A,Mat B,Mat X) 495 { 496 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 497 PetscErrorCode ierr; 498 const PetscScalar *b; 499 PetscScalar *x; 500 PetscInt n; 501 PetscBLASInt nrhs,info,m; 502 503 PetscFunctionBegin; 504 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 505 ierr = MatGetSize(B,NULL,&n);CHKERRQ(ierr); 506 ierr = PetscBLASIntCast(n,&nrhs);CHKERRQ(ierr); 507 ierr = MatDenseGetArrayRead(B,&b);CHKERRQ(ierr); 508 ierr = MatDenseGetArray(X,&x);CHKERRQ(ierr); 509 510 ierr = PetscArraycpy(x,b,m*nrhs);CHKERRQ(ierr); 511 512 if (A->factortype == MAT_FACTOR_LU) { 513 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 514 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&m,&nrhs,mat->v,&mat->lda,mat->pivots,x,&m,&info)); 515 ierr = PetscFPTrapPop();CHKERRQ(ierr); 516 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"GETRS - Bad solve"); 517 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 518 if (A->spd) { 519 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 520 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&nrhs,mat->v,&mat->lda,x,&m,&info)); 521 ierr = PetscFPTrapPop();CHKERRQ(ierr); 522 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS Bad solve"); 523 #if defined(PETSC_USE_COMPLEX) 524 } else if (A->hermitian) { 525 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 526 PetscStackCallBLAS("LAPACKhetrs",LAPACKhetrs_("L",&m,&nrhs,mat->v,&mat->lda,mat->pivots,x,&m,&info)); 527 ierr = PetscFPTrapPop();CHKERRQ(ierr); 528 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"HETRS Bad solve"); 529 #endif 530 } else { /* symmetric case */ 531 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 532 PetscStackCallBLAS("LAPACKsytrs",LAPACKsytrs_("L",&m,&nrhs,mat->v,&mat->lda,mat->pivots,x,&m,&info)); 533 ierr = PetscFPTrapPop();CHKERRQ(ierr); 534 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"SYTRS Bad solve"); 535 } 536 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Matrix must be factored to solve"); 537 538 ierr = MatDenseRestoreArrayRead(B,&b);CHKERRQ(ierr); 539 ierr = MatDenseRestoreArray(X,&x);CHKERRQ(ierr); 540 ierr = PetscLogFlops(nrhs*(2.0*m*m - m));CHKERRQ(ierr); 541 PetscFunctionReturn(0); 542 } 543 544 static PetscErrorCode MatConjugate_SeqDense(Mat); 545 546 static PetscErrorCode MatSolveTranspose_SeqDense(Mat A,Vec xx,Vec yy) 547 { 548 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 549 PetscErrorCode ierr; 550 const PetscScalar *x; 551 PetscScalar *y; 552 PetscBLASInt one = 1,info,m; 553 554 PetscFunctionBegin; 555 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 556 ierr = VecGetArrayRead(xx,&x);CHKERRQ(ierr); 557 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 558 ierr = PetscArraycpy(y,x,A->rmap->n);CHKERRQ(ierr); 559 if (A->factortype == MAT_FACTOR_LU) { 560 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 561 PetscStackCallBLAS("LAPACKgetrs",LAPACKgetrs_("T",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 562 ierr = PetscFPTrapPop();CHKERRQ(ierr); 563 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS - Bad solve"); 564 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 565 if (A->spd) { 566 #if defined(PETSC_USE_COMPLEX) 567 ierr = MatConjugate_SeqDense(A);CHKERRQ(ierr); 568 #endif 569 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 570 PetscStackCallBLAS("LAPACKpotrs",LAPACKpotrs_("L",&m,&one,mat->v,&mat->lda,y,&m,&info)); 571 ierr = PetscFPTrapPop();CHKERRQ(ierr); 572 #if defined(PETSC_USE_COMPLEX) 573 ierr = MatConjugate_SeqDense(A);CHKERRQ(ierr); 574 #endif 575 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"POTRS Bad solve"); 576 #if defined(PETSC_USE_COMPLEX) 577 } else if (A->hermitian) { 578 ierr = MatConjugate_SeqDense(A);CHKERRQ(ierr); 579 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 580 PetscStackCallBLAS("LAPACKhetrs",LAPACKhetrs_("L",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 581 ierr = PetscFPTrapPop();CHKERRQ(ierr); 582 ierr = MatConjugate_SeqDense(A);CHKERRQ(ierr); 583 #endif 584 } else { /* symmetric case */ 585 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 586 PetscStackCallBLAS("LAPACKsytrs",LAPACKsytrs_("L",&m,&one,mat->v,&mat->lda,mat->pivots,y,&m,&info)); 587 ierr = PetscFPTrapPop();CHKERRQ(ierr); 588 if (info) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"SYTRS Bad solve"); 589 } 590 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Matrix must be factored to solve"); 591 ierr = VecRestoreArrayRead(xx,&x);CHKERRQ(ierr); 592 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 593 ierr = PetscLogFlops(2.0*A->cmap->n*A->cmap->n - A->cmap->n);CHKERRQ(ierr); 594 PetscFunctionReturn(0); 595 } 596 597 /* ---------------------------------------------------------------*/ 598 /* COMMENT: I have chosen to hide row permutation in the pivots, 599 rather than put it in the Mat->row slot.*/ 600 PetscErrorCode MatLUFactor_SeqDense(Mat A,IS row,IS col,const MatFactorInfo *minfo) 601 { 602 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 603 PetscErrorCode ierr; 604 PetscBLASInt n,m,info; 605 606 PetscFunctionBegin; 607 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 608 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 609 if (!mat->pivots) { 610 ierr = PetscMalloc1(A->rmap->n,&mat->pivots);CHKERRQ(ierr); 611 ierr = PetscLogObjectMemory((PetscObject)A,A->rmap->n*sizeof(PetscBLASInt));CHKERRQ(ierr); 612 } 613 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 614 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 615 PetscStackCallBLAS("LAPACKgetrf",LAPACKgetrf_(&m,&n,mat->v,&mat->lda,mat->pivots,&info)); 616 ierr = PetscFPTrapPop();CHKERRQ(ierr); 617 618 if (info<0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Bad argument to LU factorization"); 619 if (info>0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_MAT_LU_ZRPVT,"Bad LU factorization"); 620 621 A->ops->solve = MatSolve_SeqDense; 622 A->ops->matsolve = MatMatSolve_SeqDense; 623 A->ops->solvetranspose = MatSolveTranspose_SeqDense; 624 A->factortype = MAT_FACTOR_LU; 625 626 ierr = PetscFree(A->solvertype);CHKERRQ(ierr); 627 ierr = PetscStrallocpy(MATSOLVERPETSC,&A->solvertype);CHKERRQ(ierr); 628 629 ierr = PetscLogFlops((2.0*A->cmap->n*A->cmap->n*A->cmap->n)/3);CHKERRQ(ierr); 630 PetscFunctionReturn(0); 631 } 632 633 /* Cholesky as L*L^T or L*D*L^T and the symmetric/hermitian complex variants */ 634 PetscErrorCode MatCholeskyFactor_SeqDense(Mat A,IS perm,const MatFactorInfo *factinfo) 635 { 636 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 637 PetscErrorCode ierr; 638 PetscBLASInt info,n; 639 640 PetscFunctionBegin; 641 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 642 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 643 if (A->spd) { 644 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 645 PetscStackCallBLAS("LAPACKpotrf",LAPACKpotrf_("L",&n,mat->v,&mat->lda,&info)); 646 ierr = PetscFPTrapPop();CHKERRQ(ierr); 647 #if defined(PETSC_USE_COMPLEX) 648 } else if (A->hermitian) { 649 if (!mat->pivots) { 650 ierr = PetscMalloc1(A->rmap->n,&mat->pivots);CHKERRQ(ierr); 651 ierr = PetscLogObjectMemory((PetscObject)A,A->rmap->n*sizeof(PetscBLASInt));CHKERRQ(ierr); 652 } 653 if (!mat->fwork) { 654 PetscScalar dummy; 655 656 mat->lfwork = -1; 657 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 658 PetscStackCallBLAS("LAPACKhetrf",LAPACKhetrf_("L",&n,mat->v,&mat->lda,mat->pivots,&dummy,&mat->lfwork,&info)); 659 ierr = PetscFPTrapPop();CHKERRQ(ierr); 660 mat->lfwork = (PetscInt)PetscRealPart(dummy); 661 ierr = PetscMalloc1(mat->lfwork,&mat->fwork);CHKERRQ(ierr); 662 ierr = PetscLogObjectMemory((PetscObject)A,mat->lfwork*sizeof(PetscBLASInt));CHKERRQ(ierr); 663 } 664 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 665 PetscStackCallBLAS("LAPACKhetrf",LAPACKhetrf_("L",&n,mat->v,&mat->lda,mat->pivots,mat->fwork,&mat->lfwork,&info)); 666 ierr = PetscFPTrapPop();CHKERRQ(ierr); 667 #endif 668 } else { /* symmetric case */ 669 if (!mat->pivots) { 670 ierr = PetscMalloc1(A->rmap->n,&mat->pivots);CHKERRQ(ierr); 671 ierr = PetscLogObjectMemory((PetscObject)A,A->rmap->n*sizeof(PetscBLASInt));CHKERRQ(ierr); 672 } 673 if (!mat->fwork) { 674 PetscScalar dummy; 675 676 mat->lfwork = -1; 677 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 678 PetscStackCallBLAS("LAPACKsytrf",LAPACKsytrf_("L",&n,mat->v,&mat->lda,mat->pivots,&dummy,&mat->lfwork,&info)); 679 ierr = PetscFPTrapPop();CHKERRQ(ierr); 680 mat->lfwork = (PetscInt)PetscRealPart(dummy); 681 ierr = PetscMalloc1(mat->lfwork,&mat->fwork);CHKERRQ(ierr); 682 ierr = PetscLogObjectMemory((PetscObject)A,mat->lfwork*sizeof(PetscBLASInt));CHKERRQ(ierr); 683 } 684 ierr = PetscFPTrapPush(PETSC_FP_TRAP_OFF);CHKERRQ(ierr); 685 PetscStackCallBLAS("LAPACKsytrf",LAPACKsytrf_("L",&n,mat->v,&mat->lda,mat->pivots,mat->fwork,&mat->lfwork,&info)); 686 ierr = PetscFPTrapPop();CHKERRQ(ierr); 687 } 688 if (info) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_MAT_CH_ZRPVT,"Bad factorization: zero pivot in row %D",(PetscInt)info-1); 689 690 A->ops->solve = MatSolve_SeqDense; 691 A->ops->matsolve = MatMatSolve_SeqDense; 692 A->ops->solvetranspose = MatSolveTranspose_SeqDense; 693 A->factortype = MAT_FACTOR_CHOLESKY; 694 695 ierr = PetscFree(A->solvertype);CHKERRQ(ierr); 696 ierr = PetscStrallocpy(MATSOLVERPETSC,&A->solvertype);CHKERRQ(ierr); 697 698 ierr = PetscLogFlops((1.0*A->cmap->n*A->cmap->n*A->cmap->n)/3.0);CHKERRQ(ierr); 699 PetscFunctionReturn(0); 700 } 701 702 PetscErrorCode MatCholeskyFactorNumeric_SeqDense(Mat fact,Mat A,const MatFactorInfo *info_dummy) 703 { 704 PetscErrorCode ierr; 705 MatFactorInfo info; 706 707 PetscFunctionBegin; 708 info.fill = 1.0; 709 710 ierr = MatDuplicateNoCreate_SeqDense(fact,A,MAT_COPY_VALUES);CHKERRQ(ierr); 711 ierr = (*fact->ops->choleskyfactor)(fact,0,&info);CHKERRQ(ierr); 712 PetscFunctionReturn(0); 713 } 714 715 PetscErrorCode MatCholeskyFactorSymbolic_SeqDense(Mat fact,Mat A,IS row,const MatFactorInfo *info) 716 { 717 PetscFunctionBegin; 718 fact->assembled = PETSC_TRUE; 719 fact->preallocated = PETSC_TRUE; 720 fact->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqDense; 721 fact->ops->solve = MatSolve_SeqDense; 722 fact->ops->matsolve = MatMatSolve_SeqDense; 723 fact->ops->solvetranspose = MatSolveTranspose_SeqDense; 724 PetscFunctionReturn(0); 725 } 726 727 PetscErrorCode MatLUFactorSymbolic_SeqDense(Mat fact,Mat A,IS row,IS col,const MatFactorInfo *info) 728 { 729 PetscFunctionBegin; 730 fact->preallocated = PETSC_TRUE; 731 fact->assembled = PETSC_TRUE; 732 fact->ops->lufactornumeric = MatLUFactorNumeric_SeqDense; 733 fact->ops->solve = MatSolve_SeqDense; 734 fact->ops->matsolve = MatMatSolve_SeqDense; 735 fact->ops->solvetranspose = MatSolveTranspose_SeqDense; 736 PetscFunctionReturn(0); 737 } 738 739 /* uses LAPACK */ 740 PETSC_INTERN PetscErrorCode MatGetFactor_seqdense_petsc(Mat A,MatFactorType ftype,Mat *fact) 741 { 742 PetscErrorCode ierr; 743 744 PetscFunctionBegin; 745 ierr = MatCreate(PetscObjectComm((PetscObject)A),fact);CHKERRQ(ierr); 746 ierr = MatSetSizes(*fact,A->rmap->n,A->cmap->n,A->rmap->n,A->cmap->n);CHKERRQ(ierr); 747 ierr = MatSetType(*fact,MATDENSE);CHKERRQ(ierr); 748 if (ftype == MAT_FACTOR_LU) { 749 (*fact)->ops->lufactorsymbolic = MatLUFactorSymbolic_SeqDense; 750 } else { 751 (*fact)->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SeqDense; 752 } 753 (*fact)->factortype = ftype; 754 755 ierr = PetscFree((*fact)->solvertype);CHKERRQ(ierr); 756 ierr = PetscStrallocpy(MATSOLVERPETSC,&(*fact)->solvertype);CHKERRQ(ierr); 757 PetscFunctionReturn(0); 758 } 759 760 /* ------------------------------------------------------------------*/ 761 static PetscErrorCode MatSOR_SeqDense(Mat A,Vec bb,PetscReal omega,MatSORType flag,PetscReal shift,PetscInt its,PetscInt lits,Vec xx) 762 { 763 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 764 PetscScalar *x,*v = mat->v,zero = 0.0,xt; 765 const PetscScalar *b; 766 PetscErrorCode ierr; 767 PetscInt m = A->rmap->n,i; 768 PetscBLASInt o = 1,bm; 769 770 PetscFunctionBegin; 771 #if defined(PETSC_HAVE_CUDA) 772 if (A->offloadmask == PETSC_OFFLOAD_GPU) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not implemented"); 773 #endif 774 if (shift == -1) shift = 0.0; /* negative shift indicates do not error on zero diagonal; this code never zeros on zero diagonal */ 775 ierr = PetscBLASIntCast(m,&bm);CHKERRQ(ierr); 776 if (flag & SOR_ZERO_INITIAL_GUESS) { 777 /* this is a hack fix, should have another version without the second BLASdotu */ 778 ierr = VecSet(xx,zero);CHKERRQ(ierr); 779 } 780 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 781 ierr = VecGetArrayRead(bb,&b);CHKERRQ(ierr); 782 its = its*lits; 783 if (its <= 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Relaxation requires global its %D and local its %D both positive",its,lits); 784 while (its--) { 785 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) { 786 for (i=0; i<m; i++) { 787 PetscStackCallBLAS("BLASdotu",xt = b[i] - BLASdotu_(&bm,v+i,&bm,x,&o)); 788 x[i] = (1. - omega)*x[i] + omega*(xt+v[i + i*m]*x[i])/(v[i + i*m]+shift); 789 } 790 } 791 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) { 792 for (i=m-1; i>=0; i--) { 793 PetscStackCallBLAS("BLASdotu",xt = b[i] - BLASdotu_(&bm,v+i,&bm,x,&o)); 794 x[i] = (1. - omega)*x[i] + omega*(xt+v[i + i*m]*x[i])/(v[i + i*m]+shift); 795 } 796 } 797 } 798 ierr = VecRestoreArrayRead(bb,&b);CHKERRQ(ierr); 799 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 800 PetscFunctionReturn(0); 801 } 802 803 /* -----------------------------------------------------------------*/ 804 PetscErrorCode MatMultTranspose_SeqDense(Mat A,Vec xx,Vec yy) 805 { 806 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 807 const PetscScalar *v = mat->v,*x; 808 PetscScalar *y; 809 PetscErrorCode ierr; 810 PetscBLASInt m, n,_One=1; 811 PetscScalar _DOne=1.0,_DZero=0.0; 812 813 PetscFunctionBegin; 814 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 815 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 816 ierr = VecGetArrayRead(xx,&x);CHKERRQ(ierr); 817 ierr = VecGetArrayWrite(yy,&y);CHKERRQ(ierr); 818 if (!A->rmap->n || !A->cmap->n) { 819 PetscBLASInt i; 820 for (i=0; i<n; i++) y[i] = 0.0; 821 } else { 822 PetscStackCallBLAS("BLASgemv",BLASgemv_("T",&m,&n,&_DOne,v,&mat->lda,x,&_One,&_DZero,y,&_One)); 823 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n - A->cmap->n);CHKERRQ(ierr); 824 } 825 ierr = VecRestoreArrayRead(xx,&x);CHKERRQ(ierr); 826 ierr = VecRestoreArrayWrite(yy,&y);CHKERRQ(ierr); 827 PetscFunctionReturn(0); 828 } 829 830 PetscErrorCode MatMult_SeqDense(Mat A,Vec xx,Vec yy) 831 { 832 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 833 PetscScalar *y,_DOne=1.0,_DZero=0.0; 834 PetscErrorCode ierr; 835 PetscBLASInt m, n, _One=1; 836 const PetscScalar *v = mat->v,*x; 837 838 PetscFunctionBegin; 839 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 840 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 841 ierr = VecGetArrayRead(xx,&x);CHKERRQ(ierr); 842 ierr = VecGetArrayWrite(yy,&y);CHKERRQ(ierr); 843 if (!A->rmap->n || !A->cmap->n) { 844 PetscBLASInt i; 845 for (i=0; i<m; i++) y[i] = 0.0; 846 } else { 847 PetscStackCallBLAS("BLASgemv",BLASgemv_("N",&m,&n,&_DOne,v,&(mat->lda),x,&_One,&_DZero,y,&_One)); 848 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n - A->rmap->n);CHKERRQ(ierr); 849 } 850 ierr = VecRestoreArrayRead(xx,&x);CHKERRQ(ierr); 851 ierr = VecRestoreArrayWrite(yy,&y);CHKERRQ(ierr); 852 PetscFunctionReturn(0); 853 } 854 855 PetscErrorCode MatMultAdd_SeqDense(Mat A,Vec xx,Vec zz,Vec yy) 856 { 857 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 858 const PetscScalar *v = mat->v,*x; 859 PetscScalar *y,_DOne=1.0; 860 PetscErrorCode ierr; 861 PetscBLASInt m, n, _One=1; 862 863 PetscFunctionBegin; 864 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 865 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 866 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 867 if (zz != yy) {ierr = VecCopy(zz,yy);CHKERRQ(ierr);} 868 ierr = VecGetArrayRead(xx,&x);CHKERRQ(ierr); 869 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 870 PetscStackCallBLAS("BLASgemv",BLASgemv_("N",&m,&n,&_DOne,v,&(mat->lda),x,&_One,&_DOne,y,&_One)); 871 ierr = VecRestoreArrayRead(xx,&x);CHKERRQ(ierr); 872 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 873 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n);CHKERRQ(ierr); 874 PetscFunctionReturn(0); 875 } 876 877 PetscErrorCode MatMultTransposeAdd_SeqDense(Mat A,Vec xx,Vec zz,Vec yy) 878 { 879 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 880 const PetscScalar *v = mat->v,*x; 881 PetscScalar *y; 882 PetscErrorCode ierr; 883 PetscBLASInt m, n, _One=1; 884 PetscScalar _DOne=1.0; 885 886 PetscFunctionBegin; 887 ierr = PetscBLASIntCast(A->rmap->n,&m);CHKERRQ(ierr); 888 ierr = PetscBLASIntCast(A->cmap->n,&n);CHKERRQ(ierr); 889 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(0); 890 if (zz != yy) {ierr = VecCopy(zz,yy);CHKERRQ(ierr);} 891 ierr = VecGetArrayRead(xx,&x);CHKERRQ(ierr); 892 ierr = VecGetArray(yy,&y);CHKERRQ(ierr); 893 PetscStackCallBLAS("BLASgemv",BLASgemv_("T",&m,&n,&_DOne,v,&(mat->lda),x,&_One,&_DOne,y,&_One)); 894 ierr = VecRestoreArrayRead(xx,&x);CHKERRQ(ierr); 895 ierr = VecRestoreArray(yy,&y);CHKERRQ(ierr); 896 ierr = PetscLogFlops(2.0*A->rmap->n*A->cmap->n);CHKERRQ(ierr); 897 PetscFunctionReturn(0); 898 } 899 900 /* -----------------------------------------------------------------*/ 901 static PetscErrorCode MatGetRow_SeqDense(Mat A,PetscInt row,PetscInt *ncols,PetscInt **cols,PetscScalar **vals) 902 { 903 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 904 PetscErrorCode ierr; 905 PetscInt i; 906 907 PetscFunctionBegin; 908 *ncols = A->cmap->n; 909 if (cols) { 910 ierr = PetscMalloc1(A->cmap->n+1,cols);CHKERRQ(ierr); 911 for (i=0; i<A->cmap->n; i++) (*cols)[i] = i; 912 } 913 if (vals) { 914 const PetscScalar *v; 915 916 ierr = MatDenseGetArrayRead(A,&v);CHKERRQ(ierr); 917 ierr = PetscMalloc1(A->cmap->n+1,vals);CHKERRQ(ierr); 918 v += row; 919 for (i=0; i<A->cmap->n; i++) {(*vals)[i] = *v; v += mat->lda;} 920 ierr = MatDenseRestoreArrayRead(A,&v);CHKERRQ(ierr); 921 } 922 PetscFunctionReturn(0); 923 } 924 925 static PetscErrorCode MatRestoreRow_SeqDense(Mat A,PetscInt row,PetscInt *ncols,PetscInt **cols,PetscScalar **vals) 926 { 927 PetscErrorCode ierr; 928 929 PetscFunctionBegin; 930 if (cols) {ierr = PetscFree(*cols);CHKERRQ(ierr);} 931 if (vals) {ierr = PetscFree(*vals);CHKERRQ(ierr); } 932 PetscFunctionReturn(0); 933 } 934 /* ----------------------------------------------------------------*/ 935 static PetscErrorCode MatSetValues_SeqDense(Mat A,PetscInt m,const PetscInt indexm[],PetscInt n,const PetscInt indexn[],const PetscScalar v[],InsertMode addv) 936 { 937 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 938 PetscScalar *av; 939 PetscInt i,j,idx=0; 940 #if defined(PETSC_HAVE_CUDA) 941 PetscOffloadMask oldf; 942 #endif 943 PetscErrorCode ierr; 944 945 PetscFunctionBegin; 946 ierr = MatDenseGetArray(A,&av);CHKERRQ(ierr); 947 if (!mat->roworiented) { 948 if (addv == INSERT_VALUES) { 949 for (j=0; j<n; j++) { 950 if (indexn[j] < 0) {idx += m; continue;} 951 if (PetscUnlikelyDebug(indexn[j] >= A->cmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 952 for (i=0; i<m; i++) { 953 if (indexm[i] < 0) {idx++; continue;} 954 if (PetscUnlikelyDebug(indexm[i] >= A->rmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 955 av[indexn[j]*mat->lda + indexm[i]] = v[idx++]; 956 } 957 } 958 } else { 959 for (j=0; j<n; j++) { 960 if (indexn[j] < 0) {idx += m; continue;} 961 if (PetscUnlikelyDebug(indexn[j] >= A->cmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 962 for (i=0; i<m; i++) { 963 if (indexm[i] < 0) {idx++; continue;} 964 if (PetscUnlikelyDebug(indexm[i] >= A->rmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 965 av[indexn[j]*mat->lda + indexm[i]] += v[idx++]; 966 } 967 } 968 } 969 } else { 970 if (addv == INSERT_VALUES) { 971 for (i=0; i<m; i++) { 972 if (indexm[i] < 0) { idx += n; continue;} 973 if (PetscUnlikelyDebug(indexm[i] >= A->rmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 974 for (j=0; j<n; j++) { 975 if (indexn[j] < 0) { idx++; continue;} 976 if (PetscUnlikelyDebug(indexn[j] >= A->cmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 977 av[indexn[j]*mat->lda + indexm[i]] = v[idx++]; 978 } 979 } 980 } else { 981 for (i=0; i<m; i++) { 982 if (indexm[i] < 0) { idx += n; continue;} 983 if (PetscUnlikelyDebug(indexm[i] >= A->rmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",indexm[i],A->rmap->n-1); 984 for (j=0; j<n; j++) { 985 if (indexn[j] < 0) { idx++; continue;} 986 if (PetscUnlikelyDebug(indexn[j] >= A->cmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",indexn[j],A->cmap->n-1); 987 av[indexn[j]*mat->lda + indexm[i]] += v[idx++]; 988 } 989 } 990 } 991 } 992 /* hack to prevent unneeded copy to the GPU while returning the array */ 993 #if defined(PETSC_HAVE_CUDA) 994 oldf = A->offloadmask; 995 A->offloadmask = PETSC_OFFLOAD_GPU; 996 #endif 997 ierr = MatDenseRestoreArray(A,&av);CHKERRQ(ierr); 998 #if defined(PETSC_HAVE_CUDA) 999 A->offloadmask = (oldf == PETSC_OFFLOAD_UNALLOCATED ? PETSC_OFFLOAD_UNALLOCATED : PETSC_OFFLOAD_CPU); 1000 #endif 1001 PetscFunctionReturn(0); 1002 } 1003 1004 static PetscErrorCode MatGetValues_SeqDense(Mat A,PetscInt m,const PetscInt indexm[],PetscInt n,const PetscInt indexn[],PetscScalar v[]) 1005 { 1006 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1007 const PetscScalar *vv; 1008 PetscInt i,j; 1009 PetscErrorCode ierr; 1010 1011 PetscFunctionBegin; 1012 ierr = MatDenseGetArrayRead(A,&vv);CHKERRQ(ierr); 1013 /* row-oriented output */ 1014 for (i=0; i<m; i++) { 1015 if (indexm[i] < 0) {v += n;continue;} 1016 if (indexm[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D requested larger than number rows %D",indexm[i],A->rmap->n); 1017 for (j=0; j<n; j++) { 1018 if (indexn[j] < 0) {v++; continue;} 1019 if (indexn[j] >= A->cmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column %D requested larger than number columns %D",indexn[j],A->cmap->n); 1020 *v++ = vv[indexn[j]*mat->lda + indexm[i]]; 1021 } 1022 } 1023 ierr = MatDenseRestoreArrayRead(A,&vv);CHKERRQ(ierr); 1024 PetscFunctionReturn(0); 1025 } 1026 1027 /* -----------------------------------------------------------------*/ 1028 1029 PetscErrorCode MatView_Dense_Binary(Mat mat,PetscViewer viewer) 1030 { 1031 PetscErrorCode ierr; 1032 PetscBool skipHeader; 1033 PetscViewerFormat format; 1034 PetscInt header[4],M,N,m,lda,i,j,k; 1035 const PetscScalar *v; 1036 PetscScalar *vwork; 1037 1038 PetscFunctionBegin; 1039 ierr = PetscViewerSetUp(viewer);CHKERRQ(ierr); 1040 ierr = PetscViewerBinaryGetSkipHeader(viewer,&skipHeader);CHKERRQ(ierr); 1041 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1042 if (skipHeader) format = PETSC_VIEWER_NATIVE; 1043 1044 ierr = MatGetSize(mat,&M,&N);CHKERRQ(ierr); 1045 1046 /* write matrix header */ 1047 header[0] = MAT_FILE_CLASSID; header[1] = M; header[2] = N; 1048 header[3] = (format == PETSC_VIEWER_NATIVE) ? MATRIX_BINARY_FORMAT_DENSE : M*N; 1049 if (!skipHeader) {ierr = PetscViewerBinaryWrite(viewer,header,4,PETSC_INT);CHKERRQ(ierr);} 1050 1051 ierr = MatGetLocalSize(mat,&m,NULL);CHKERRQ(ierr); 1052 if (format != PETSC_VIEWER_NATIVE) { 1053 PetscInt nnz = m*N, *iwork; 1054 /* store row lengths for each row */ 1055 ierr = PetscMalloc1(nnz,&iwork);CHKERRQ(ierr); 1056 for (i=0; i<m; i++) iwork[i] = N; 1057 ierr = PetscViewerBinaryWriteAll(viewer,iwork,m,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_INT);CHKERRQ(ierr); 1058 /* store column indices (zero start index) */ 1059 for (k=0, i=0; i<m; i++) 1060 for (j=0; j<N; j++, k++) 1061 iwork[k] = j; 1062 ierr = PetscViewerBinaryWriteAll(viewer,iwork,nnz,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_INT);CHKERRQ(ierr); 1063 ierr = PetscFree(iwork);CHKERRQ(ierr); 1064 } 1065 /* store matrix values as a dense matrix in row major order */ 1066 ierr = PetscMalloc1(m*N,&vwork);CHKERRQ(ierr); 1067 ierr = MatDenseGetArrayRead(mat,&v);CHKERRQ(ierr); 1068 ierr = MatDenseGetLDA(mat,&lda);CHKERRQ(ierr); 1069 for (k=0, i=0; i<m; i++) 1070 for (j=0; j<N; j++, k++) 1071 vwork[k] = v[i+lda*j]; 1072 ierr = MatDenseRestoreArrayRead(mat,&v);CHKERRQ(ierr); 1073 ierr = PetscViewerBinaryWriteAll(viewer,vwork,m*N,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_SCALAR);CHKERRQ(ierr); 1074 ierr = PetscFree(vwork);CHKERRQ(ierr); 1075 PetscFunctionReturn(0); 1076 } 1077 1078 PetscErrorCode MatLoad_Dense_Binary(Mat mat,PetscViewer viewer) 1079 { 1080 PetscErrorCode ierr; 1081 PetscBool skipHeader; 1082 PetscInt header[4],M,N,m,nz,lda,i,j,k; 1083 PetscInt rows,cols; 1084 PetscScalar *v,*vwork; 1085 1086 PetscFunctionBegin; 1087 ierr = PetscViewerSetUp(viewer);CHKERRQ(ierr); 1088 ierr = PetscViewerBinaryGetSkipHeader(viewer,&skipHeader);CHKERRQ(ierr); 1089 1090 if (!skipHeader) { 1091 ierr = PetscViewerBinaryRead(viewer,header,4,NULL,PETSC_INT);CHKERRQ(ierr); 1092 if (header[0] != MAT_FILE_CLASSID) SETERRQ(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED,"Not a matrix object in file"); 1093 M = header[1]; N = header[2]; 1094 if (M < 0) SETERRQ1(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED,"Matrix row size (%D) in file is negative",M); 1095 if (N < 0) SETERRQ1(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED,"Matrix column size (%D) in file is negative",N); 1096 nz = header[3]; 1097 if (nz != MATRIX_BINARY_FORMAT_DENSE && nz < 0) SETERRQ1(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED,"Unknown matrix format %D in file",nz); 1098 } else { 1099 ierr = MatGetSize(mat,&M,&N);CHKERRQ(ierr); 1100 if (M < 0 || N < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_USER,"Matrix binary file header was skipped, thus the user must specify the global sizes of input matrix"); 1101 nz = MATRIX_BINARY_FORMAT_DENSE; 1102 } 1103 1104 /* setup global sizes if not set */ 1105 if (mat->rmap->N < 0) mat->rmap->N = M; 1106 if (mat->cmap->N < 0) mat->cmap->N = N; 1107 ierr = MatSetUp(mat);CHKERRQ(ierr); 1108 /* check if global sizes are correct */ 1109 ierr = MatGetSize(mat,&rows,&cols);CHKERRQ(ierr); 1110 if (M != rows || N != cols) SETERRQ4(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED, "Matrix in file of different sizes (%d, %d) than the input matrix (%d, %d)",M,N,rows,cols); 1111 1112 ierr = MatGetSize(mat,NULL,&N);CHKERRQ(ierr); 1113 ierr = MatGetLocalSize(mat,&m,NULL);CHKERRQ(ierr); 1114 ierr = MatDenseGetArray(mat,&v);CHKERRQ(ierr); 1115 ierr = MatDenseGetLDA(mat,&lda);CHKERRQ(ierr); 1116 if (nz == MATRIX_BINARY_FORMAT_DENSE) { /* matrix in file is dense format */ 1117 PetscInt nnz = m*N; 1118 /* read in matrix values */ 1119 ierr = PetscMalloc1(nnz,&vwork);CHKERRQ(ierr); 1120 ierr = PetscViewerBinaryReadAll(viewer,vwork,nnz,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_SCALAR);CHKERRQ(ierr); 1121 /* store values in column major order */ 1122 for (j=0; j<N; j++) 1123 for (i=0; i<m; i++) 1124 v[i+lda*j] = vwork[i*N+j]; 1125 ierr = PetscFree(vwork);CHKERRQ(ierr); 1126 } else { /* matrix in file is sparse format */ 1127 PetscInt nnz = 0, *rlens, *icols; 1128 /* read in row lengths */ 1129 ierr = PetscMalloc1(m,&rlens);CHKERRQ(ierr); 1130 ierr = PetscViewerBinaryReadAll(viewer,rlens,m,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_INT);CHKERRQ(ierr); 1131 for (i=0; i<m; i++) nnz += rlens[i]; 1132 /* read in column indices and values */ 1133 ierr = PetscMalloc2(nnz,&icols,nnz,&vwork);CHKERRQ(ierr); 1134 ierr = PetscViewerBinaryReadAll(viewer,icols,nnz,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_INT);CHKERRQ(ierr); 1135 ierr = PetscViewerBinaryReadAll(viewer,vwork,nnz,PETSC_DETERMINE,PETSC_DETERMINE,PETSC_SCALAR);CHKERRQ(ierr); 1136 /* store values in column major order */ 1137 for (k=0, i=0; i<m; i++) 1138 for (j=0; j<rlens[i]; j++, k++) 1139 v[i+lda*icols[k]] = vwork[k]; 1140 ierr = PetscFree(rlens);CHKERRQ(ierr); 1141 ierr = PetscFree2(icols,vwork);CHKERRQ(ierr); 1142 } 1143 ierr = MatDenseRestoreArray(mat,&v);CHKERRQ(ierr); 1144 ierr = MatAssemblyBegin(mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1145 ierr = MatAssemblyEnd(mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1146 PetscFunctionReturn(0); 1147 } 1148 1149 PetscErrorCode MatLoad_SeqDense(Mat newMat, PetscViewer viewer) 1150 { 1151 PetscBool isbinary, ishdf5; 1152 PetscErrorCode ierr; 1153 1154 PetscFunctionBegin; 1155 PetscValidHeaderSpecific(newMat,MAT_CLASSID,1); 1156 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); 1157 /* force binary viewer to load .info file if it has not yet done so */ 1158 ierr = PetscViewerSetUp(viewer);CHKERRQ(ierr); 1159 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 1160 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERHDF5, &ishdf5);CHKERRQ(ierr); 1161 if (isbinary) { 1162 ierr = MatLoad_Dense_Binary(newMat,viewer);CHKERRQ(ierr); 1163 } else if (ishdf5) { 1164 #if defined(PETSC_HAVE_HDF5) 1165 ierr = MatLoad_Dense_HDF5(newMat,viewer);CHKERRQ(ierr); 1166 #else 1167 SETERRQ(PetscObjectComm((PetscObject)newMat),PETSC_ERR_SUP,"HDF5 not supported in this build.\nPlease reconfigure using --download-hdf5"); 1168 #endif 1169 } else { 1170 SETERRQ2(PetscObjectComm((PetscObject)newMat),PETSC_ERR_SUP,"Viewer type %s not yet supported for reading %s matrices",((PetscObject)viewer)->type_name,((PetscObject)newMat)->type_name); 1171 } 1172 PetscFunctionReturn(0); 1173 } 1174 1175 static PetscErrorCode MatView_SeqDense_ASCII(Mat A,PetscViewer viewer) 1176 { 1177 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1178 PetscErrorCode ierr; 1179 PetscInt i,j; 1180 const char *name; 1181 PetscScalar *v,*av; 1182 PetscViewerFormat format; 1183 #if defined(PETSC_USE_COMPLEX) 1184 PetscBool allreal = PETSC_TRUE; 1185 #endif 1186 1187 PetscFunctionBegin; 1188 ierr = MatDenseGetArrayRead(A,(const PetscScalar**)&av);CHKERRQ(ierr); 1189 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1190 if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 1191 PetscFunctionReturn(0); /* do nothing for now */ 1192 } else if (format == PETSC_VIEWER_ASCII_COMMON) { 1193 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 1194 for (i=0; i<A->rmap->n; i++) { 1195 v = av + i; 1196 ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i);CHKERRQ(ierr); 1197 for (j=0; j<A->cmap->n; j++) { 1198 #if defined(PETSC_USE_COMPLEX) 1199 if (PetscRealPart(*v) != 0.0 && PetscImaginaryPart(*v) != 0.0) { 1200 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g + %g i) ",j,(double)PetscRealPart(*v),(double)PetscImaginaryPart(*v));CHKERRQ(ierr); 1201 } else if (PetscRealPart(*v)) { 1202 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",j,(double)PetscRealPart(*v));CHKERRQ(ierr); 1203 } 1204 #else 1205 if (*v) { 1206 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",j,(double)*v);CHKERRQ(ierr); 1207 } 1208 #endif 1209 v += a->lda; 1210 } 1211 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 1212 } 1213 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 1214 } else { 1215 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 1216 #if defined(PETSC_USE_COMPLEX) 1217 /* determine if matrix has all real values */ 1218 v = av; 1219 for (i=0; i<A->rmap->n*A->cmap->n; i++) { 1220 if (PetscImaginaryPart(v[i])) { allreal = PETSC_FALSE; break;} 1221 } 1222 #endif 1223 if (format == PETSC_VIEWER_ASCII_MATLAB) { 1224 ierr = PetscObjectGetName((PetscObject)A,&name);CHKERRQ(ierr); 1225 ierr = PetscViewerASCIIPrintf(viewer,"%% Size = %D %D \n",A->rmap->n,A->cmap->n);CHKERRQ(ierr); 1226 ierr = PetscViewerASCIIPrintf(viewer,"%s = zeros(%D,%D);\n",name,A->rmap->n,A->cmap->n);CHKERRQ(ierr); 1227 ierr = PetscViewerASCIIPrintf(viewer,"%s = [\n",name);CHKERRQ(ierr); 1228 } 1229 1230 for (i=0; i<A->rmap->n; i++) { 1231 v = av + i; 1232 for (j=0; j<A->cmap->n; j++) { 1233 #if defined(PETSC_USE_COMPLEX) 1234 if (allreal) { 1235 ierr = PetscViewerASCIIPrintf(viewer,"%18.16e ",(double)PetscRealPart(*v));CHKERRQ(ierr); 1236 } else { 1237 ierr = PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16ei ",(double)PetscRealPart(*v),(double)PetscImaginaryPart(*v));CHKERRQ(ierr); 1238 } 1239 #else 1240 ierr = PetscViewerASCIIPrintf(viewer,"%18.16e ",(double)*v);CHKERRQ(ierr); 1241 #endif 1242 v += a->lda; 1243 } 1244 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 1245 } 1246 if (format == PETSC_VIEWER_ASCII_MATLAB) { 1247 ierr = PetscViewerASCIIPrintf(viewer,"];\n");CHKERRQ(ierr); 1248 } 1249 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 1250 } 1251 ierr = MatDenseRestoreArrayRead(A,(const PetscScalar**)&av);CHKERRQ(ierr); 1252 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 1253 PetscFunctionReturn(0); 1254 } 1255 1256 #include <petscdraw.h> 1257 static PetscErrorCode MatView_SeqDense_Draw_Zoom(PetscDraw draw,void *Aa) 1258 { 1259 Mat A = (Mat) Aa; 1260 PetscErrorCode ierr; 1261 PetscInt m = A->rmap->n,n = A->cmap->n,i,j; 1262 int color = PETSC_DRAW_WHITE; 1263 const PetscScalar *v; 1264 PetscViewer viewer; 1265 PetscReal xl,yl,xr,yr,x_l,x_r,y_l,y_r; 1266 PetscViewerFormat format; 1267 1268 PetscFunctionBegin; 1269 ierr = PetscObjectQuery((PetscObject)A,"Zoomviewer",(PetscObject*)&viewer);CHKERRQ(ierr); 1270 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1271 ierr = PetscDrawGetCoordinates(draw,&xl,&yl,&xr,&yr);CHKERRQ(ierr); 1272 1273 /* Loop over matrix elements drawing boxes */ 1274 ierr = MatDenseGetArrayRead(A,&v);CHKERRQ(ierr); 1275 if (format != PETSC_VIEWER_DRAW_CONTOUR) { 1276 ierr = PetscDrawCollectiveBegin(draw);CHKERRQ(ierr); 1277 /* Blue for negative and Red for positive */ 1278 for (j = 0; j < n; j++) { 1279 x_l = j; x_r = x_l + 1.0; 1280 for (i = 0; i < m; i++) { 1281 y_l = m - i - 1.0; 1282 y_r = y_l + 1.0; 1283 if (PetscRealPart(v[j*m+i]) > 0.) color = PETSC_DRAW_RED; 1284 else if (PetscRealPart(v[j*m+i]) < 0.) color = PETSC_DRAW_BLUE; 1285 else continue; 1286 ierr = PetscDrawRectangle(draw,x_l,y_l,x_r,y_r,color,color,color,color);CHKERRQ(ierr); 1287 } 1288 } 1289 ierr = PetscDrawCollectiveEnd(draw);CHKERRQ(ierr); 1290 } else { 1291 /* use contour shading to indicate magnitude of values */ 1292 /* first determine max of all nonzero values */ 1293 PetscReal minv = 0.0, maxv = 0.0; 1294 PetscDraw popup; 1295 1296 for (i=0; i < m*n; i++) { 1297 if (PetscAbsScalar(v[i]) > maxv) maxv = PetscAbsScalar(v[i]); 1298 } 1299 if (minv >= maxv) maxv = minv + PETSC_SMALL; 1300 ierr = PetscDrawGetPopup(draw,&popup);CHKERRQ(ierr); 1301 ierr = PetscDrawScalePopup(popup,minv,maxv);CHKERRQ(ierr); 1302 1303 ierr = PetscDrawCollectiveBegin(draw);CHKERRQ(ierr); 1304 for (j=0; j<n; j++) { 1305 x_l = j; 1306 x_r = x_l + 1.0; 1307 for (i=0; i<m; i++) { 1308 y_l = m - i - 1.0; 1309 y_r = y_l + 1.0; 1310 color = PetscDrawRealToColor(PetscAbsScalar(v[j*m+i]),minv,maxv); 1311 ierr = PetscDrawRectangle(draw,x_l,y_l,x_r,y_r,color,color,color,color);CHKERRQ(ierr); 1312 } 1313 } 1314 ierr = PetscDrawCollectiveEnd(draw);CHKERRQ(ierr); 1315 } 1316 ierr = MatDenseRestoreArrayRead(A,&v);CHKERRQ(ierr); 1317 PetscFunctionReturn(0); 1318 } 1319 1320 static PetscErrorCode MatView_SeqDense_Draw(Mat A,PetscViewer viewer) 1321 { 1322 PetscDraw draw; 1323 PetscBool isnull; 1324 PetscReal xr,yr,xl,yl,h,w; 1325 PetscErrorCode ierr; 1326 1327 PetscFunctionBegin; 1328 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 1329 ierr = PetscDrawIsNull(draw,&isnull);CHKERRQ(ierr); 1330 if (isnull) PetscFunctionReturn(0); 1331 1332 xr = A->cmap->n; yr = A->rmap->n; h = yr/10.0; w = xr/10.0; 1333 xr += w; yr += h; xl = -w; yl = -h; 1334 ierr = PetscDrawSetCoordinates(draw,xl,yl,xr,yr);CHKERRQ(ierr); 1335 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",(PetscObject)viewer);CHKERRQ(ierr); 1336 ierr = PetscDrawZoom(draw,MatView_SeqDense_Draw_Zoom,A);CHKERRQ(ierr); 1337 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",NULL);CHKERRQ(ierr); 1338 ierr = PetscDrawSave(draw);CHKERRQ(ierr); 1339 PetscFunctionReturn(0); 1340 } 1341 1342 PetscErrorCode MatView_SeqDense(Mat A,PetscViewer viewer) 1343 { 1344 PetscErrorCode ierr; 1345 PetscBool iascii,isbinary,isdraw; 1346 1347 PetscFunctionBegin; 1348 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 1349 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 1350 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 1351 1352 if (iascii) { 1353 ierr = MatView_SeqDense_ASCII(A,viewer);CHKERRQ(ierr); 1354 } else if (isbinary) { 1355 ierr = MatView_Dense_Binary(A,viewer);CHKERRQ(ierr); 1356 } else if (isdraw) { 1357 ierr = MatView_SeqDense_Draw(A,viewer);CHKERRQ(ierr); 1358 } 1359 PetscFunctionReturn(0); 1360 } 1361 1362 static PetscErrorCode MatDensePlaceArray_SeqDense(Mat A,const PetscScalar *array) 1363 { 1364 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1365 1366 PetscFunctionBegin; 1367 if (a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreColumnVec first"); 1368 if (a->unplacedarray) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreArray first"); 1369 a->unplacedarray = a->v; 1370 a->unplaced_user_alloc = a->user_alloc; 1371 a->v = (PetscScalar*) array; 1372 a->user_alloc = PETSC_TRUE; 1373 #if defined(PETSC_HAVE_CUDA) 1374 A->offloadmask = PETSC_OFFLOAD_CPU; 1375 #endif 1376 PetscFunctionReturn(0); 1377 } 1378 1379 static PetscErrorCode MatDenseResetArray_SeqDense(Mat A) 1380 { 1381 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1382 1383 PetscFunctionBegin; 1384 if (a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreColumnVec first"); 1385 a->v = a->unplacedarray; 1386 a->user_alloc = a->unplaced_user_alloc; 1387 a->unplacedarray = NULL; 1388 #if defined(PETSC_HAVE_CUDA) 1389 A->offloadmask = PETSC_OFFLOAD_CPU; 1390 #endif 1391 PetscFunctionReturn(0); 1392 } 1393 1394 static PetscErrorCode MatDenseReplaceArray_SeqDense(Mat A,const PetscScalar *array) 1395 { 1396 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 1397 PetscErrorCode ierr; 1398 1399 PetscFunctionBegin; 1400 if (a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreColumnVec first"); 1401 if (!a->user_alloc) { ierr = PetscFree(a->v);CHKERRQ(ierr); } 1402 a->v = (PetscScalar*) array; 1403 a->user_alloc = PETSC_FALSE; 1404 #if defined(PETSC_HAVE_CUDA) 1405 A->offloadmask = PETSC_OFFLOAD_CPU; 1406 #endif 1407 PetscFunctionReturn(0); 1408 } 1409 1410 PetscErrorCode MatDestroy_SeqDense(Mat mat) 1411 { 1412 Mat_SeqDense *l = (Mat_SeqDense*)mat->data; 1413 PetscErrorCode ierr; 1414 1415 PetscFunctionBegin; 1416 #if defined(PETSC_USE_LOG) 1417 PetscLogObjectState((PetscObject)mat,"Rows %D Cols %D",mat->rmap->n,mat->cmap->n); 1418 #endif 1419 ierr = PetscFree(l->pivots);CHKERRQ(ierr); 1420 ierr = PetscFree(l->fwork);CHKERRQ(ierr); 1421 ierr = MatDestroy(&l->ptapwork);CHKERRQ(ierr); 1422 if (!l->user_alloc) {ierr = PetscFree(l->v);CHKERRQ(ierr);} 1423 if (!l->unplaced_user_alloc) {ierr = PetscFree(l->unplacedarray);CHKERRQ(ierr);} 1424 ierr = VecDestroy(&l->cvec);CHKERRQ(ierr); 1425 ierr = PetscFree(mat->data);CHKERRQ(ierr); 1426 1427 ierr = PetscObjectChangeTypeName((PetscObject)mat,0);CHKERRQ(ierr); 1428 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetLDA_C",NULL);CHKERRQ(ierr); 1429 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseSetLDA_C",NULL);CHKERRQ(ierr); 1430 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetArray_C",NULL);CHKERRQ(ierr); 1431 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreArray_C",NULL);CHKERRQ(ierr); 1432 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDensePlaceArray_C",NULL);CHKERRQ(ierr); 1433 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseResetArray_C",NULL);CHKERRQ(ierr); 1434 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseReplaceArray_C",NULL);CHKERRQ(ierr); 1435 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetArrayRead_C",NULL);CHKERRQ(ierr); 1436 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreArrayRead_C",NULL);CHKERRQ(ierr); 1437 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetArrayWrite_C",NULL);CHKERRQ(ierr); 1438 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreArrayWrite_C",NULL);CHKERRQ(ierr); 1439 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatConvert_seqdense_seqaij_C",NULL);CHKERRQ(ierr); 1440 #if defined(PETSC_HAVE_ELEMENTAL) 1441 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatConvert_seqdense_elemental_C",NULL);CHKERRQ(ierr); 1442 #endif 1443 #if defined(PETSC_HAVE_CUDA) 1444 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatConvert_seqdense_seqdensecuda_C",NULL);CHKERRQ(ierr); 1445 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqdensecuda_seqdensecuda_C",NULL);CHKERRQ(ierr); 1446 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqdensecuda_seqdense_C",NULL);CHKERRQ(ierr); 1447 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqaijcusparse_seqdense_C",NULL);CHKERRQ(ierr); 1448 #endif 1449 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatSeqDenseSetPreallocation_C",NULL);CHKERRQ(ierr); 1450 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1451 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqdense_seqdense_C",NULL);CHKERRQ(ierr); 1452 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1453 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1454 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqbaij_seqdense_C",NULL);CHKERRQ(ierr); 1455 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqbaij_seqdense_C",NULL);CHKERRQ(ierr); 1456 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqbaij_seqdense_C",NULL);CHKERRQ(ierr); 1457 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatProductSetFromOptions_seqsbaij_seqdense_C",NULL);CHKERRQ(ierr); 1458 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqsbaij_seqdense_C",NULL);CHKERRQ(ierr); 1459 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqsbaij_seqdense_C",NULL);CHKERRQ(ierr); 1460 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqaijperm_seqdense_C",NULL);CHKERRQ(ierr); 1461 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqaijperm_seqdense_C",NULL);CHKERRQ(ierr); 1462 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqaijsell_seqdense_C",NULL);CHKERRQ(ierr); 1463 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqaijsell_seqdense_C",NULL);CHKERRQ(ierr); 1464 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_seqaijmkl_seqdense_C",NULL);CHKERRQ(ierr); 1465 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_seqaijmkl_seqdense_C",NULL);CHKERRQ(ierr); 1466 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultSymbolic_nest_seqdense_C",NULL);CHKERRQ(ierr); 1467 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatMatMultNumeric_nest_seqdense_C",NULL);CHKERRQ(ierr); 1468 1469 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultSymbolic_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1470 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultNumeric_seqaij_seqdense_C",NULL);CHKERRQ(ierr); 1471 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultSymbolic_seqaijperm_seqdense_C",NULL);CHKERRQ(ierr); 1472 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultNumeric_seqaijperm_seqdense_C",NULL);CHKERRQ(ierr); 1473 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultSymbolic_seqaijsell_seqdense_C",NULL);CHKERRQ(ierr); 1474 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultNumeric_seqaijsell_seqdense_C",NULL);CHKERRQ(ierr); 1475 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultSymbolic_seqaijmkl_seqdense_C",NULL);CHKERRQ(ierr); 1476 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatTransposeMatMultNumeric_seqaijmkl_seqdense_C",NULL);CHKERRQ(ierr); 1477 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetColumn_C",NULL);CHKERRQ(ierr); 1478 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreColumn_C",NULL);CHKERRQ(ierr); 1479 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetColumnVec_C",NULL);CHKERRQ(ierr); 1480 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreColumnVec_C",NULL);CHKERRQ(ierr); 1481 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetColumnVecRead_C",NULL);CHKERRQ(ierr); 1482 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreColumnVecRead_C",NULL);CHKERRQ(ierr); 1483 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseGetColumnVecWrite_C",NULL);CHKERRQ(ierr); 1484 ierr = PetscObjectComposeFunction((PetscObject)mat,"MatDenseRestoreColumnVecWrite_C",NULL);CHKERRQ(ierr); 1485 PetscFunctionReturn(0); 1486 } 1487 1488 static PetscErrorCode MatTranspose_SeqDense(Mat A,MatReuse reuse,Mat *matout) 1489 { 1490 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1491 PetscErrorCode ierr; 1492 PetscInt k,j,m,n,M; 1493 PetscScalar *v,tmp; 1494 1495 PetscFunctionBegin; 1496 m = A->rmap->n; M = mat->lda; n = A->cmap->n; 1497 if (reuse == MAT_INPLACE_MATRIX && m == n) { /* in place transpose */ 1498 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 1499 for (j=0; j<m; j++) { 1500 for (k=0; k<j; k++) { 1501 tmp = v[j + k*M]; 1502 v[j + k*M] = v[k + j*M]; 1503 v[k + j*M] = tmp; 1504 } 1505 } 1506 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 1507 } else { /* out-of-place transpose */ 1508 Mat tmat; 1509 Mat_SeqDense *tmatd; 1510 PetscScalar *v2; 1511 PetscInt M2; 1512 1513 if (reuse != MAT_REUSE_MATRIX) { 1514 ierr = MatCreate(PetscObjectComm((PetscObject)A),&tmat);CHKERRQ(ierr); 1515 ierr = MatSetSizes(tmat,A->cmap->n,A->rmap->n,A->cmap->n,A->rmap->n);CHKERRQ(ierr); 1516 ierr = MatSetType(tmat,((PetscObject)A)->type_name);CHKERRQ(ierr); 1517 ierr = MatSeqDenseSetPreallocation(tmat,NULL);CHKERRQ(ierr); 1518 } else tmat = *matout; 1519 1520 ierr = MatDenseGetArrayRead(A,(const PetscScalar**)&v);CHKERRQ(ierr); 1521 ierr = MatDenseGetArray(tmat,&v2);CHKERRQ(ierr); 1522 tmatd = (Mat_SeqDense*)tmat->data; 1523 M2 = tmatd->lda; 1524 for (j=0; j<n; j++) { 1525 for (k=0; k<m; k++) v2[j + k*M2] = v[k + j*M]; 1526 } 1527 ierr = MatDenseRestoreArray(tmat,&v2);CHKERRQ(ierr); 1528 ierr = MatDenseRestoreArrayRead(A,(const PetscScalar**)&v);CHKERRQ(ierr); 1529 ierr = MatAssemblyBegin(tmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1530 ierr = MatAssemblyEnd(tmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1531 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_REUSE_MATRIX) *matout = tmat; 1532 else { 1533 ierr = MatHeaderMerge(A,&tmat);CHKERRQ(ierr); 1534 } 1535 } 1536 PetscFunctionReturn(0); 1537 } 1538 1539 static PetscErrorCode MatEqual_SeqDense(Mat A1,Mat A2,PetscBool *flg) 1540 { 1541 Mat_SeqDense *mat1 = (Mat_SeqDense*)A1->data; 1542 Mat_SeqDense *mat2 = (Mat_SeqDense*)A2->data; 1543 PetscInt i; 1544 const PetscScalar *v1,*v2; 1545 PetscErrorCode ierr; 1546 1547 PetscFunctionBegin; 1548 if (A1->rmap->n != A2->rmap->n) {*flg = PETSC_FALSE; PetscFunctionReturn(0);} 1549 if (A1->cmap->n != A2->cmap->n) {*flg = PETSC_FALSE; PetscFunctionReturn(0);} 1550 ierr = MatDenseGetArrayRead(A1,&v1);CHKERRQ(ierr); 1551 ierr = MatDenseGetArrayRead(A2,&v2);CHKERRQ(ierr); 1552 for (i=0; i<A1->cmap->n; i++) { 1553 ierr = PetscArraycmp(v1,v2,A1->rmap->n,flg);CHKERRQ(ierr); 1554 if (*flg == PETSC_FALSE) PetscFunctionReturn(0); 1555 v1 += mat1->lda; 1556 v2 += mat2->lda; 1557 } 1558 ierr = MatDenseRestoreArrayRead(A1,&v1);CHKERRQ(ierr); 1559 ierr = MatDenseRestoreArrayRead(A2,&v2);CHKERRQ(ierr); 1560 *flg = PETSC_TRUE; 1561 PetscFunctionReturn(0); 1562 } 1563 1564 static PetscErrorCode MatGetDiagonal_SeqDense(Mat A,Vec v) 1565 { 1566 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1567 PetscInt i,n,len; 1568 PetscScalar *x; 1569 const PetscScalar *vv; 1570 PetscErrorCode ierr; 1571 1572 PetscFunctionBegin; 1573 ierr = VecGetSize(v,&n);CHKERRQ(ierr); 1574 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 1575 len = PetscMin(A->rmap->n,A->cmap->n); 1576 ierr = MatDenseGetArrayRead(A,&vv);CHKERRQ(ierr); 1577 if (n != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming mat and vec"); 1578 for (i=0; i<len; i++) { 1579 x[i] = vv[i*mat->lda + i]; 1580 } 1581 ierr = MatDenseRestoreArrayRead(A,&vv);CHKERRQ(ierr); 1582 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 1583 PetscFunctionReturn(0); 1584 } 1585 1586 static PetscErrorCode MatDiagonalScale_SeqDense(Mat A,Vec ll,Vec rr) 1587 { 1588 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1589 const PetscScalar *l,*r; 1590 PetscScalar x,*v,*vv; 1591 PetscErrorCode ierr; 1592 PetscInt i,j,m = A->rmap->n,n = A->cmap->n; 1593 1594 PetscFunctionBegin; 1595 ierr = MatDenseGetArray(A,&vv);CHKERRQ(ierr); 1596 if (ll) { 1597 ierr = VecGetSize(ll,&m);CHKERRQ(ierr); 1598 ierr = VecGetArrayRead(ll,&l);CHKERRQ(ierr); 1599 if (m != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Left scaling vec wrong size"); 1600 for (i=0; i<m; i++) { 1601 x = l[i]; 1602 v = vv + i; 1603 for (j=0; j<n; j++) { (*v) *= x; v+= mat->lda;} 1604 } 1605 ierr = VecRestoreArrayRead(ll,&l);CHKERRQ(ierr); 1606 ierr = PetscLogFlops(1.0*n*m);CHKERRQ(ierr); 1607 } 1608 if (rr) { 1609 ierr = VecGetSize(rr,&n);CHKERRQ(ierr); 1610 ierr = VecGetArrayRead(rr,&r);CHKERRQ(ierr); 1611 if (n != A->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Right scaling vec wrong size"); 1612 for (i=0; i<n; i++) { 1613 x = r[i]; 1614 v = vv + i*mat->lda; 1615 for (j=0; j<m; j++) (*v++) *= x; 1616 } 1617 ierr = VecRestoreArrayRead(rr,&r);CHKERRQ(ierr); 1618 ierr = PetscLogFlops(1.0*n*m);CHKERRQ(ierr); 1619 } 1620 ierr = MatDenseRestoreArray(A,&vv);CHKERRQ(ierr); 1621 PetscFunctionReturn(0); 1622 } 1623 1624 PetscErrorCode MatNorm_SeqDense(Mat A,NormType type,PetscReal *nrm) 1625 { 1626 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1627 PetscScalar *v,*vv; 1628 PetscReal sum = 0.0; 1629 PetscInt lda =mat->lda,m=A->rmap->n,i,j; 1630 PetscErrorCode ierr; 1631 1632 PetscFunctionBegin; 1633 ierr = MatDenseGetArrayRead(A,(const PetscScalar**)&vv);CHKERRQ(ierr); 1634 v = vv; 1635 if (type == NORM_FROBENIUS) { 1636 if (lda>m) { 1637 for (j=0; j<A->cmap->n; j++) { 1638 v = vv+j*lda; 1639 for (i=0; i<m; i++) { 1640 sum += PetscRealPart(PetscConj(*v)*(*v)); v++; 1641 } 1642 } 1643 } else { 1644 #if defined(PETSC_USE_REAL___FP16) 1645 PetscBLASInt one = 1,cnt = A->cmap->n*A->rmap->n; 1646 *nrm = BLASnrm2_(&cnt,v,&one); 1647 } 1648 #else 1649 for (i=0; i<A->cmap->n*A->rmap->n; i++) { 1650 sum += PetscRealPart(PetscConj(*v)*(*v)); v++; 1651 } 1652 } 1653 *nrm = PetscSqrtReal(sum); 1654 #endif 1655 ierr = PetscLogFlops(2.0*A->cmap->n*A->rmap->n);CHKERRQ(ierr); 1656 } else if (type == NORM_1) { 1657 *nrm = 0.0; 1658 for (j=0; j<A->cmap->n; j++) { 1659 v = vv + j*mat->lda; 1660 sum = 0.0; 1661 for (i=0; i<A->rmap->n; i++) { 1662 sum += PetscAbsScalar(*v); v++; 1663 } 1664 if (sum > *nrm) *nrm = sum; 1665 } 1666 ierr = PetscLogFlops(1.0*A->cmap->n*A->rmap->n);CHKERRQ(ierr); 1667 } else if (type == NORM_INFINITY) { 1668 *nrm = 0.0; 1669 for (j=0; j<A->rmap->n; j++) { 1670 v = vv + j; 1671 sum = 0.0; 1672 for (i=0; i<A->cmap->n; i++) { 1673 sum += PetscAbsScalar(*v); v += mat->lda; 1674 } 1675 if (sum > *nrm) *nrm = sum; 1676 } 1677 ierr = PetscLogFlops(1.0*A->cmap->n*A->rmap->n);CHKERRQ(ierr); 1678 } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"No two norm"); 1679 ierr = MatDenseRestoreArrayRead(A,(const PetscScalar**)&vv);CHKERRQ(ierr); 1680 PetscFunctionReturn(0); 1681 } 1682 1683 static PetscErrorCode MatSetOption_SeqDense(Mat A,MatOption op,PetscBool flg) 1684 { 1685 Mat_SeqDense *aij = (Mat_SeqDense*)A->data; 1686 PetscErrorCode ierr; 1687 1688 PetscFunctionBegin; 1689 switch (op) { 1690 case MAT_ROW_ORIENTED: 1691 aij->roworiented = flg; 1692 break; 1693 case MAT_NEW_NONZERO_LOCATIONS: 1694 case MAT_NEW_NONZERO_LOCATION_ERR: 1695 case MAT_NEW_NONZERO_ALLOCATION_ERR: 1696 case MAT_NEW_DIAGONALS: 1697 case MAT_KEEP_NONZERO_PATTERN: 1698 case MAT_IGNORE_OFF_PROC_ENTRIES: 1699 case MAT_USE_HASH_TABLE: 1700 case MAT_IGNORE_ZERO_ENTRIES: 1701 case MAT_IGNORE_LOWER_TRIANGULAR: 1702 case MAT_SORTED_FULL: 1703 ierr = PetscInfo1(A,"Option %s ignored\n",MatOptions[op]);CHKERRQ(ierr); 1704 break; 1705 case MAT_SPD: 1706 case MAT_SYMMETRIC: 1707 case MAT_STRUCTURALLY_SYMMETRIC: 1708 case MAT_HERMITIAN: 1709 case MAT_SYMMETRY_ETERNAL: 1710 /* These options are handled directly by MatSetOption() */ 1711 break; 1712 default: 1713 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"unknown option %s",MatOptions[op]); 1714 } 1715 PetscFunctionReturn(0); 1716 } 1717 1718 static PetscErrorCode MatZeroEntries_SeqDense(Mat A) 1719 { 1720 Mat_SeqDense *l = (Mat_SeqDense*)A->data; 1721 PetscErrorCode ierr; 1722 PetscInt lda=l->lda,m=A->rmap->n,j; 1723 PetscScalar *v; 1724 1725 PetscFunctionBegin; 1726 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 1727 if (lda>m) { 1728 for (j=0; j<A->cmap->n; j++) { 1729 ierr = PetscArrayzero(v+j*lda,m);CHKERRQ(ierr); 1730 } 1731 } else { 1732 ierr = PetscArrayzero(v,A->rmap->n*A->cmap->n);CHKERRQ(ierr); 1733 } 1734 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 1735 PetscFunctionReturn(0); 1736 } 1737 1738 static PetscErrorCode MatZeroRows_SeqDense(Mat A,PetscInt N,const PetscInt rows[],PetscScalar diag,Vec x,Vec b) 1739 { 1740 PetscErrorCode ierr; 1741 Mat_SeqDense *l = (Mat_SeqDense*)A->data; 1742 PetscInt m = l->lda, n = A->cmap->n, i,j; 1743 PetscScalar *slot,*bb,*v; 1744 const PetscScalar *xx; 1745 1746 PetscFunctionBegin; 1747 if (PetscDefined(USE_DEBUG)) { 1748 for (i=0; i<N; i++) { 1749 if (rows[i] < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row requested to be zeroed"); 1750 if (rows[i] >= A->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D requested to be zeroed greater than or equal number of rows %D",rows[i],A->rmap->n); 1751 } 1752 } 1753 if (!N) PetscFunctionReturn(0); 1754 1755 /* fix right hand side if needed */ 1756 if (x && b) { 1757 ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr); 1758 ierr = VecGetArray(b,&bb);CHKERRQ(ierr); 1759 for (i=0; i<N; i++) bb[rows[i]] = diag*xx[rows[i]]; 1760 ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr); 1761 ierr = VecRestoreArray(b,&bb);CHKERRQ(ierr); 1762 } 1763 1764 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 1765 for (i=0; i<N; i++) { 1766 slot = v + rows[i]; 1767 for (j=0; j<n; j++) { *slot = 0.0; slot += m;} 1768 } 1769 if (diag != 0.0) { 1770 if (A->rmap->n != A->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only coded for square matrices"); 1771 for (i=0; i<N; i++) { 1772 slot = v + (m+1)*rows[i]; 1773 *slot = diag; 1774 } 1775 } 1776 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 1777 PetscFunctionReturn(0); 1778 } 1779 1780 static PetscErrorCode MatDenseGetLDA_SeqDense(Mat A,PetscInt *lda) 1781 { 1782 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1783 1784 PetscFunctionBegin; 1785 *lda = mat->lda; 1786 PetscFunctionReturn(0); 1787 } 1788 1789 PetscErrorCode MatDenseGetArray_SeqDense(Mat A,PetscScalar **array) 1790 { 1791 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 1792 1793 PetscFunctionBegin; 1794 *array = mat->v; 1795 PetscFunctionReturn(0); 1796 } 1797 1798 PetscErrorCode MatDenseRestoreArray_SeqDense(Mat A,PetscScalar **array) 1799 { 1800 PetscFunctionBegin; 1801 *array = NULL; 1802 PetscFunctionReturn(0); 1803 } 1804 1805 /*@C 1806 MatDenseGetLDA - gets the leading dimension of the array returned from MatDenseGetArray() 1807 1808 Not collective 1809 1810 Input Parameter: 1811 . mat - a MATSEQDENSE or MATMPIDENSE matrix 1812 1813 Output Parameter: 1814 . lda - the leading dimension 1815 1816 Level: intermediate 1817 1818 .seealso: MatDenseGetArray(), MatDenseRestoreArray(), MatDenseGetArrayRead(), MatDenseRestoreArrayRead(), MatDenseSetLDA() 1819 @*/ 1820 PetscErrorCode MatDenseGetLDA(Mat A,PetscInt *lda) 1821 { 1822 PetscErrorCode ierr; 1823 1824 PetscFunctionBegin; 1825 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1826 PetscValidPointer(lda,2); 1827 ierr = PetscUseMethod(A,"MatDenseGetLDA_C",(Mat,PetscInt*),(A,lda));CHKERRQ(ierr); 1828 PetscFunctionReturn(0); 1829 } 1830 1831 /*@C 1832 MatDenseSetLDA - Sets the leading dimension of the array used by the dense matrix 1833 1834 Not collective 1835 1836 Input Parameter: 1837 + mat - a MATSEQDENSE or MATMPIDENSE matrix 1838 - lda - the leading dimension 1839 1840 Level: intermediate 1841 1842 .seealso: MatDenseGetArray(), MatDenseRestoreArray(), MatDenseGetArrayRead(), MatDenseRestoreArrayRead(), MatDenseGetLDA() 1843 @*/ 1844 PetscErrorCode MatDenseSetLDA(Mat A,PetscInt lda) 1845 { 1846 PetscErrorCode ierr; 1847 1848 PetscFunctionBegin; 1849 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1850 ierr = PetscTryMethod(A,"MatDenseSetLDA_C",(Mat,PetscInt),(A,lda));CHKERRQ(ierr); 1851 PetscFunctionReturn(0); 1852 } 1853 1854 /*@C 1855 MatDenseGetArray - gives read-write access to the array where the data for a dense matrix is stored 1856 1857 Logically Collective on Mat 1858 1859 Input Parameter: 1860 . mat - a dense matrix 1861 1862 Output Parameter: 1863 . array - pointer to the data 1864 1865 Level: intermediate 1866 1867 .seealso: MatDenseRestoreArray(), MatDenseGetArrayRead(), MatDenseRestoreArrayRead(), MatDenseGetArrayWrite(), MatDenseRestoreArrayWrite() 1868 @*/ 1869 PetscErrorCode MatDenseGetArray(Mat A,PetscScalar **array) 1870 { 1871 PetscErrorCode ierr; 1872 1873 PetscFunctionBegin; 1874 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1875 PetscValidPointer(array,2); 1876 ierr = PetscUseMethod(A,"MatDenseGetArray_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 1877 PetscFunctionReturn(0); 1878 } 1879 1880 /*@C 1881 MatDenseRestoreArray - returns access to the array where the data for a dense matrix is stored obtained by MatDenseGetArray() 1882 1883 Logically Collective on Mat 1884 1885 Input Parameters: 1886 + mat - a dense matrix 1887 - array - pointer to the data 1888 1889 Level: intermediate 1890 1891 .seealso: MatDenseGetArray(), MatDenseGetArrayRead(), MatDenseRestoreArrayRead(), MatDenseGetArrayWrite(), MatDenseRestoreArrayWrite() 1892 @*/ 1893 PetscErrorCode MatDenseRestoreArray(Mat A,PetscScalar **array) 1894 { 1895 PetscErrorCode ierr; 1896 1897 PetscFunctionBegin; 1898 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1899 PetscValidPointer(array,2); 1900 ierr = PetscUseMethod(A,"MatDenseRestoreArray_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 1901 ierr = PetscObjectStateIncrease((PetscObject)A);CHKERRQ(ierr); 1902 #if defined(PETSC_HAVE_CUDA) 1903 A->offloadmask = PETSC_OFFLOAD_CPU; 1904 #endif 1905 PetscFunctionReturn(0); 1906 } 1907 1908 /*@C 1909 MatDenseGetArrayRead - gives read-only access to the array where the data for a dense matrix is stored 1910 1911 Not Collective 1912 1913 Input Parameter: 1914 . mat - a dense matrix 1915 1916 Output Parameter: 1917 . array - pointer to the data 1918 1919 Level: intermediate 1920 1921 .seealso: MatDenseRestoreArrayRead(), MatDenseGetArray(), MatDenseRestoreArray(), MatDenseGetArrayWrite(), MatDenseRestoreArrayWrite() 1922 @*/ 1923 PetscErrorCode MatDenseGetArrayRead(Mat A,const PetscScalar **array) 1924 { 1925 PetscErrorCode ierr; 1926 1927 PetscFunctionBegin; 1928 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1929 PetscValidPointer(array,2); 1930 ierr = PetscUseMethod(A,"MatDenseGetArrayRead_C",(Mat,const PetscScalar**),(A,array));CHKERRQ(ierr); 1931 PetscFunctionReturn(0); 1932 } 1933 1934 /*@C 1935 MatDenseRestoreArrayRead - returns access to the array where the data for a dense matrix is stored obtained by MatDenseGetArrayRead() 1936 1937 Not Collective 1938 1939 Input Parameters: 1940 + mat - a dense matrix 1941 - array - pointer to the data 1942 1943 Level: intermediate 1944 1945 .seealso: MatDenseGetArrayRead(), MatDenseGetArray(), MatDenseRestoreArray(), MatDenseGetArrayWrite(), MatDenseRestoreArrayWrite() 1946 @*/ 1947 PetscErrorCode MatDenseRestoreArrayRead(Mat A,const PetscScalar **array) 1948 { 1949 PetscErrorCode ierr; 1950 1951 PetscFunctionBegin; 1952 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1953 PetscValidPointer(array,2); 1954 ierr = PetscUseMethod(A,"MatDenseRestoreArrayRead_C",(Mat,const PetscScalar**),(A,array));CHKERRQ(ierr); 1955 PetscFunctionReturn(0); 1956 } 1957 1958 /*@C 1959 MatDenseGetArrayWrite - gives write-only access to the array where the data for a dense matrix is stored 1960 1961 Not Collective 1962 1963 Input Parameter: 1964 . mat - a dense matrix 1965 1966 Output Parameter: 1967 . array - pointer to the data 1968 1969 Level: intermediate 1970 1971 .seealso: MatDenseRestoreArrayWrite(), MatDenseGetArray(), MatDenseRestoreArray(), MatDenseGetArrayRead(), MatDenseRestoreArrayRead() 1972 @*/ 1973 PetscErrorCode MatDenseGetArrayWrite(Mat A,PetscScalar **array) 1974 { 1975 PetscErrorCode ierr; 1976 1977 PetscFunctionBegin; 1978 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1979 PetscValidPointer(array,2); 1980 ierr = PetscUseMethod(A,"MatDenseGetArrayWrite_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 1981 PetscFunctionReturn(0); 1982 } 1983 1984 /*@C 1985 MatDenseRestoreArrayWrite - returns access to the array where the data for a dense matrix is stored obtained by MatDenseGetArrayWrite() 1986 1987 Not Collective 1988 1989 Input Parameters: 1990 + mat - a dense matrix 1991 - array - pointer to the data 1992 1993 Level: intermediate 1994 1995 .seealso: MatDenseGetArrayWrite(), MatDenseGetArray(), MatDenseRestoreArray(), MatDenseGetArrayRead(), MatDenseRestoreArrayRead() 1996 @*/ 1997 PetscErrorCode MatDenseRestoreArrayWrite(Mat A,PetscScalar **array) 1998 { 1999 PetscErrorCode ierr; 2000 2001 PetscFunctionBegin; 2002 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 2003 PetscValidPointer(array,2); 2004 ierr = PetscUseMethod(A,"MatDenseRestoreArrayWrite_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 2005 ierr = PetscObjectStateIncrease((PetscObject)A);CHKERRQ(ierr); 2006 #if defined(PETSC_HAVE_CUDA) 2007 A->offloadmask = PETSC_OFFLOAD_CPU; 2008 #endif 2009 PetscFunctionReturn(0); 2010 } 2011 2012 static PetscErrorCode MatCreateSubMatrix_SeqDense(Mat A,IS isrow,IS iscol,PetscInt cs,MatReuse scall,Mat *B) 2013 { 2014 Mat_SeqDense *mat = (Mat_SeqDense*)A->data; 2015 PetscErrorCode ierr; 2016 PetscInt i,j,nrows,ncols,blda; 2017 const PetscInt *irow,*icol; 2018 PetscScalar *av,*bv,*v = mat->v; 2019 Mat newmat; 2020 2021 PetscFunctionBegin; 2022 ierr = ISGetIndices(isrow,&irow);CHKERRQ(ierr); 2023 ierr = ISGetIndices(iscol,&icol);CHKERRQ(ierr); 2024 ierr = ISGetLocalSize(isrow,&nrows);CHKERRQ(ierr); 2025 ierr = ISGetLocalSize(iscol,&ncols);CHKERRQ(ierr); 2026 2027 /* Check submatrixcall */ 2028 if (scall == MAT_REUSE_MATRIX) { 2029 PetscInt n_cols,n_rows; 2030 ierr = MatGetSize(*B,&n_rows,&n_cols);CHKERRQ(ierr); 2031 if (n_rows != nrows || n_cols != ncols) { 2032 /* resize the result matrix to match number of requested rows/columns */ 2033 ierr = MatSetSizes(*B,nrows,ncols,nrows,ncols);CHKERRQ(ierr); 2034 } 2035 newmat = *B; 2036 } else { 2037 /* Create and fill new matrix */ 2038 ierr = MatCreate(PetscObjectComm((PetscObject)A),&newmat);CHKERRQ(ierr); 2039 ierr = MatSetSizes(newmat,nrows,ncols,nrows,ncols);CHKERRQ(ierr); 2040 ierr = MatSetType(newmat,((PetscObject)A)->type_name);CHKERRQ(ierr); 2041 ierr = MatSeqDenseSetPreallocation(newmat,NULL);CHKERRQ(ierr); 2042 } 2043 2044 /* Now extract the data pointers and do the copy,column at a time */ 2045 ierr = MatDenseGetArray(newmat,&bv);CHKERRQ(ierr); 2046 ierr = MatDenseGetLDA(newmat,&blda);CHKERRQ(ierr); 2047 for (i=0; i<ncols; i++) { 2048 av = v + mat->lda*icol[i]; 2049 for (j=0; j<nrows; j++) bv[j] = av[irow[j]]; 2050 bv += blda; 2051 } 2052 ierr = MatDenseRestoreArray(newmat,&bv);CHKERRQ(ierr); 2053 2054 /* Assemble the matrices so that the correct flags are set */ 2055 ierr = MatAssemblyBegin(newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2056 ierr = MatAssemblyEnd(newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2057 2058 /* Free work space */ 2059 ierr = ISRestoreIndices(isrow,&irow);CHKERRQ(ierr); 2060 ierr = ISRestoreIndices(iscol,&icol);CHKERRQ(ierr); 2061 *B = newmat; 2062 PetscFunctionReturn(0); 2063 } 2064 2065 static PetscErrorCode MatCreateSubMatrices_SeqDense(Mat A,PetscInt n,const IS irow[],const IS icol[],MatReuse scall,Mat *B[]) 2066 { 2067 PetscErrorCode ierr; 2068 PetscInt i; 2069 2070 PetscFunctionBegin; 2071 if (scall == MAT_INITIAL_MATRIX) { 2072 ierr = PetscCalloc1(n+1,B);CHKERRQ(ierr); 2073 } 2074 2075 for (i=0; i<n; i++) { 2076 ierr = MatCreateSubMatrix_SeqDense(A,irow[i],icol[i],PETSC_DECIDE,scall,&(*B)[i]);CHKERRQ(ierr); 2077 } 2078 PetscFunctionReturn(0); 2079 } 2080 2081 static PetscErrorCode MatAssemblyBegin_SeqDense(Mat mat,MatAssemblyType mode) 2082 { 2083 PetscFunctionBegin; 2084 PetscFunctionReturn(0); 2085 } 2086 2087 static PetscErrorCode MatAssemblyEnd_SeqDense(Mat mat,MatAssemblyType mode) 2088 { 2089 PetscFunctionBegin; 2090 PetscFunctionReturn(0); 2091 } 2092 2093 static PetscErrorCode MatCopy_SeqDense(Mat A,Mat B,MatStructure str) 2094 { 2095 Mat_SeqDense *a = (Mat_SeqDense*)A->data,*b = (Mat_SeqDense*)B->data; 2096 PetscErrorCode ierr; 2097 const PetscScalar *va; 2098 PetscScalar *vb; 2099 PetscInt lda1=a->lda,lda2=b->lda, m=A->rmap->n,n=A->cmap->n, j; 2100 2101 PetscFunctionBegin; 2102 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 2103 if (A->ops->copy != B->ops->copy) { 2104 ierr = MatCopy_Basic(A,B,str);CHKERRQ(ierr); 2105 PetscFunctionReturn(0); 2106 } 2107 if (m != B->rmap->n || n != B->cmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"size(B) != size(A)"); 2108 ierr = MatDenseGetArrayRead(A,&va);CHKERRQ(ierr); 2109 ierr = MatDenseGetArray(B,&vb);CHKERRQ(ierr); 2110 if (lda1>m || lda2>m) { 2111 for (j=0; j<n; j++) { 2112 ierr = PetscArraycpy(vb+j*lda2,va+j*lda1,m);CHKERRQ(ierr); 2113 } 2114 } else { 2115 ierr = PetscArraycpy(vb,va,A->rmap->n*A->cmap->n);CHKERRQ(ierr); 2116 } 2117 ierr = MatDenseRestoreArray(B,&vb);CHKERRQ(ierr); 2118 ierr = MatDenseRestoreArrayRead(A,&va);CHKERRQ(ierr); 2119 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2120 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2121 PetscFunctionReturn(0); 2122 } 2123 2124 static PetscErrorCode MatSetUp_SeqDense(Mat A) 2125 { 2126 PetscErrorCode ierr; 2127 2128 PetscFunctionBegin; 2129 ierr = PetscLayoutSetUp(A->rmap);CHKERRQ(ierr); 2130 ierr = PetscLayoutSetUp(A->cmap);CHKERRQ(ierr); 2131 if (!A->preallocated) { 2132 ierr = MatSeqDenseSetPreallocation(A,0);CHKERRQ(ierr); 2133 } 2134 PetscFunctionReturn(0); 2135 } 2136 2137 static PetscErrorCode MatConjugate_SeqDense(Mat A) 2138 { 2139 PetscInt i,nz = A->rmap->n*A->cmap->n; 2140 PetscScalar *aa; 2141 PetscErrorCode ierr; 2142 2143 PetscFunctionBegin; 2144 ierr = MatDenseGetArray(A,&aa);CHKERRQ(ierr); 2145 for (i=0; i<nz; i++) aa[i] = PetscConj(aa[i]); 2146 ierr = MatDenseRestoreArray(A,&aa);CHKERRQ(ierr); 2147 PetscFunctionReturn(0); 2148 } 2149 2150 static PetscErrorCode MatRealPart_SeqDense(Mat A) 2151 { 2152 PetscInt i,nz = A->rmap->n*A->cmap->n; 2153 PetscScalar *aa; 2154 PetscErrorCode ierr; 2155 2156 PetscFunctionBegin; 2157 ierr = MatDenseGetArray(A,&aa);CHKERRQ(ierr); 2158 for (i=0; i<nz; i++) aa[i] = PetscRealPart(aa[i]); 2159 ierr = MatDenseRestoreArray(A,&aa);CHKERRQ(ierr); 2160 PetscFunctionReturn(0); 2161 } 2162 2163 static PetscErrorCode MatImaginaryPart_SeqDense(Mat A) 2164 { 2165 PetscInt i,nz = A->rmap->n*A->cmap->n; 2166 PetscScalar *aa; 2167 PetscErrorCode ierr; 2168 2169 PetscFunctionBegin; 2170 ierr = MatDenseGetArray(A,&aa);CHKERRQ(ierr); 2171 for (i=0; i<nz; i++) aa[i] = PetscImaginaryPart(aa[i]); 2172 ierr = MatDenseRestoreArray(A,&aa);CHKERRQ(ierr); 2173 PetscFunctionReturn(0); 2174 } 2175 2176 /* ----------------------------------------------------------------*/ 2177 PetscErrorCode MatMatMultSymbolic_SeqDense_SeqDense(Mat A,Mat B,PetscReal fill,Mat C) 2178 { 2179 PetscErrorCode ierr; 2180 PetscInt m=A->rmap->n,n=B->cmap->n; 2181 PetscBool cisdense; 2182 2183 PetscFunctionBegin; 2184 ierr = MatSetSizes(C,m,n,m,n);CHKERRQ(ierr); 2185 ierr = PetscObjectTypeCompareAny((PetscObject)C,&cisdense,MATSEQDENSE,MATSEQDENSECUDA,"");CHKERRQ(ierr); 2186 if (!cisdense) { 2187 PetscBool flg; 2188 2189 ierr = PetscObjectTypeCompare((PetscObject)B,((PetscObject)A)->type_name,&flg);CHKERRQ(ierr); 2190 ierr = MatSetType(C,flg ? ((PetscObject)A)->type_name : MATDENSE);CHKERRQ(ierr); 2191 } 2192 ierr = MatSetUp(C);CHKERRQ(ierr); 2193 PetscFunctionReturn(0); 2194 } 2195 2196 PetscErrorCode MatMatMultNumeric_SeqDense_SeqDense(Mat A,Mat B,Mat C) 2197 { 2198 Mat_SeqDense *a,*b=(Mat_SeqDense*)B->data,*c=(Mat_SeqDense*)C->data; 2199 PetscBLASInt m,n,k; 2200 const PetscScalar *av,*bv; 2201 PetscScalar *cv; 2202 PetscScalar _DOne=1.0,_DZero=0.0; 2203 PetscBool flg; 2204 PetscErrorCode (*numeric)(Mat,Mat,Mat)=NULL; 2205 PetscErrorCode ierr; 2206 2207 PetscFunctionBegin; 2208 /* Handle case where where user provided the final C matrix rather than calling MatMatMult() with MAT_INITIAL_MATRIX*/ 2209 ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQAIJ,&flg);CHKERRQ(ierr); 2210 if (flg) numeric = MatMatMultNumeric_SeqAIJ_SeqDense; 2211 ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQBAIJ,&flg);CHKERRQ(ierr); 2212 if (flg) numeric = MatMatMultNumeric_SeqBAIJ_SeqDense; 2213 ierr = PetscObjectTypeCompare((PetscObject)A,MATSEQSBAIJ,&flg);CHKERRQ(ierr); 2214 if (flg) numeric = MatMatMultNumeric_SeqSBAIJ_SeqDense; 2215 ierr = PetscObjectTypeCompare((PetscObject)A,MATNEST,&flg);CHKERRQ(ierr); 2216 if (flg) numeric = MatMatMultNumeric_Nest_Dense; 2217 if (numeric) { 2218 C->ops->matmultnumeric = numeric; 2219 ierr = (*numeric)(A,B,C);CHKERRQ(ierr); 2220 PetscFunctionReturn(0); 2221 } 2222 a = (Mat_SeqDense*)A->data; 2223 ierr = PetscBLASIntCast(C->rmap->n,&m);CHKERRQ(ierr); 2224 ierr = PetscBLASIntCast(C->cmap->n,&n);CHKERRQ(ierr); 2225 ierr = PetscBLASIntCast(A->cmap->n,&k);CHKERRQ(ierr); 2226 if (!m || !n || !k) PetscFunctionReturn(0); 2227 ierr = MatDenseGetArrayRead(A,&av);CHKERRQ(ierr); 2228 ierr = MatDenseGetArrayRead(B,&bv);CHKERRQ(ierr); 2229 ierr = MatDenseGetArray(C,&cv);CHKERRQ(ierr); 2230 PetscStackCallBLAS("BLASgemm",BLASgemm_("N","N",&m,&n,&k,&_DOne,av,&a->lda,bv,&b->lda,&_DZero,cv,&c->lda)); 2231 ierr = PetscLogFlops(1.0*m*n*k + 1.0*m*n*(k-1));CHKERRQ(ierr); 2232 ierr = MatDenseRestoreArrayRead(A,&av);CHKERRQ(ierr); 2233 ierr = MatDenseRestoreArrayRead(B,&bv);CHKERRQ(ierr); 2234 ierr = MatDenseRestoreArray(C,&cv);CHKERRQ(ierr); 2235 PetscFunctionReturn(0); 2236 } 2237 2238 PetscErrorCode MatMatTransposeMultSymbolic_SeqDense_SeqDense(Mat A,Mat B,PetscReal fill,Mat C) 2239 { 2240 PetscErrorCode ierr; 2241 PetscInt m=A->rmap->n,n=B->rmap->n; 2242 PetscBool cisdense; 2243 2244 PetscFunctionBegin; 2245 ierr = MatSetSizes(C,m,n,m,n);CHKERRQ(ierr); 2246 ierr = PetscObjectTypeCompareAny((PetscObject)C,&cisdense,MATSEQDENSE,MATSEQDENSECUDA,"");CHKERRQ(ierr); 2247 if (!cisdense) { 2248 PetscBool flg; 2249 2250 ierr = PetscObjectTypeCompare((PetscObject)B,((PetscObject)A)->type_name,&flg);CHKERRQ(ierr); 2251 ierr = MatSetType(C,flg ? ((PetscObject)A)->type_name : MATDENSE);CHKERRQ(ierr); 2252 } 2253 ierr = MatSetUp(C);CHKERRQ(ierr); 2254 PetscFunctionReturn(0); 2255 } 2256 2257 PetscErrorCode MatMatTransposeMultNumeric_SeqDense_SeqDense(Mat A,Mat B,Mat C) 2258 { 2259 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2260 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 2261 Mat_SeqDense *c = (Mat_SeqDense*)C->data; 2262 PetscBLASInt m,n,k; 2263 PetscScalar _DOne=1.0,_DZero=0.0; 2264 PetscErrorCode ierr; 2265 2266 PetscFunctionBegin; 2267 ierr = PetscBLASIntCast(C->rmap->n,&m);CHKERRQ(ierr); 2268 ierr = PetscBLASIntCast(C->cmap->n,&n);CHKERRQ(ierr); 2269 ierr = PetscBLASIntCast(A->cmap->n,&k);CHKERRQ(ierr); 2270 if (!m || !n || !k) PetscFunctionReturn(0); 2271 PetscStackCallBLAS("BLASgemm",BLASgemm_("N","T",&m,&n,&k,&_DOne,a->v,&a->lda,b->v,&b->lda,&_DZero,c->v,&c->lda)); 2272 ierr = PetscLogFlops(1.0*m*n*k + 1.0*m*n*(k-1));CHKERRQ(ierr); 2273 PetscFunctionReturn(0); 2274 } 2275 2276 PetscErrorCode MatTransposeMatMultSymbolic_SeqDense_SeqDense(Mat A,Mat B,PetscReal fill,Mat C) 2277 { 2278 PetscErrorCode ierr; 2279 PetscInt m=A->cmap->n,n=B->cmap->n; 2280 PetscBool cisdense; 2281 2282 PetscFunctionBegin; 2283 ierr = MatSetSizes(C,m,n,m,n);CHKERRQ(ierr); 2284 ierr = PetscObjectTypeCompareAny((PetscObject)C,&cisdense,MATSEQDENSE,MATSEQDENSECUDA,"");CHKERRQ(ierr); 2285 if (!cisdense) { 2286 PetscBool flg; 2287 2288 ierr = PetscObjectTypeCompare((PetscObject)B,((PetscObject)A)->type_name,&flg);CHKERRQ(ierr); 2289 ierr = MatSetType(C,flg ? ((PetscObject)A)->type_name : MATDENSE);CHKERRQ(ierr); 2290 } 2291 ierr = MatSetUp(C);CHKERRQ(ierr); 2292 PetscFunctionReturn(0); 2293 } 2294 2295 PetscErrorCode MatTransposeMatMultNumeric_SeqDense_SeqDense(Mat A,Mat B,Mat C) 2296 { 2297 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2298 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 2299 Mat_SeqDense *c = (Mat_SeqDense*)C->data; 2300 PetscBLASInt m,n,k; 2301 PetscScalar _DOne=1.0,_DZero=0.0; 2302 PetscErrorCode ierr; 2303 2304 PetscFunctionBegin; 2305 ierr = PetscBLASIntCast(C->rmap->n,&m);CHKERRQ(ierr); 2306 ierr = PetscBLASIntCast(C->cmap->n,&n);CHKERRQ(ierr); 2307 ierr = PetscBLASIntCast(A->rmap->n,&k);CHKERRQ(ierr); 2308 if (!m || !n || !k) PetscFunctionReturn(0); 2309 PetscStackCallBLAS("BLASgemm",BLASgemm_("T","N",&m,&n,&k,&_DOne,a->v,&a->lda,b->v,&b->lda,&_DZero,c->v,&c->lda)); 2310 ierr = PetscLogFlops(1.0*m*n*k + 1.0*m*n*(k-1));CHKERRQ(ierr); 2311 PetscFunctionReturn(0); 2312 } 2313 2314 /* ----------------------------------------------- */ 2315 static PetscErrorCode MatProductSetFromOptions_SeqDense_AB(Mat C) 2316 { 2317 PetscFunctionBegin; 2318 C->ops->matmultsymbolic = MatMatMultSymbolic_SeqDense_SeqDense; 2319 C->ops->productsymbolic = MatProductSymbolic_AB; 2320 /* dense mat may not call MatProductSymbolic(), thus set C->ops->productnumeric here */ 2321 C->ops->productnumeric = MatProductNumeric_AB; 2322 PetscFunctionReturn(0); 2323 } 2324 2325 static PetscErrorCode MatProductSetFromOptions_SeqDense_AtB(Mat C) 2326 { 2327 PetscFunctionBegin; 2328 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_SeqDense_SeqDense; 2329 C->ops->productsymbolic = MatProductSymbolic_AtB; 2330 C->ops->productnumeric = MatProductNumeric_AtB; 2331 PetscFunctionReturn(0); 2332 } 2333 2334 static PetscErrorCode MatProductSetFromOptions_SeqDense_ABt(Mat C) 2335 { 2336 PetscFunctionBegin; 2337 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_SeqDense_SeqDense; 2338 C->ops->productsymbolic = MatProductSymbolic_ABt; 2339 C->ops->productnumeric = MatProductNumeric_ABt; 2340 PetscFunctionReturn(0); 2341 } 2342 2343 static PetscErrorCode MatProductSetFromOptions_SeqDense_PtAP(Mat C) 2344 { 2345 PetscFunctionBegin; 2346 C->ops->productsymbolic = MatProductSymbolic_Basic; 2347 PetscFunctionReturn(0); 2348 } 2349 2350 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_SeqDense(Mat C) 2351 { 2352 PetscErrorCode ierr; 2353 Mat_Product *product = C->product; 2354 2355 PetscFunctionBegin; 2356 switch (product->type) { 2357 case MATPRODUCT_AB: 2358 ierr = MatProductSetFromOptions_SeqDense_AB(C);CHKERRQ(ierr); 2359 break; 2360 case MATPRODUCT_AtB: 2361 ierr = MatProductSetFromOptions_SeqDense_AtB(C);CHKERRQ(ierr); 2362 break; 2363 case MATPRODUCT_ABt: 2364 ierr = MatProductSetFromOptions_SeqDense_ABt(C);CHKERRQ(ierr); 2365 break; 2366 case MATPRODUCT_PtAP: 2367 case MATPRODUCT_RARt: 2368 ierr = MatProductSetFromOptions_SeqDense_PtAP(C);CHKERRQ(ierr); 2369 break; 2370 default: SETERRQ1(PetscObjectComm((PetscObject)C),PETSC_ERR_SUP,"MatProduct type %s is not supported for SeqDense and SeqDense matrices",MatProductTypes[product->type]); 2371 } 2372 PetscFunctionReturn(0); 2373 } 2374 /* ----------------------------------------------- */ 2375 2376 static PetscErrorCode MatGetRowMax_SeqDense(Mat A,Vec v,PetscInt idx[]) 2377 { 2378 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2379 PetscErrorCode ierr; 2380 PetscInt i,j,m = A->rmap->n,n = A->cmap->n,p; 2381 PetscScalar *x; 2382 const PetscScalar *aa; 2383 2384 PetscFunctionBegin; 2385 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 2386 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 2387 ierr = VecGetLocalSize(v,&p);CHKERRQ(ierr); 2388 ierr = MatDenseGetArrayRead(A,&aa);CHKERRQ(ierr); 2389 if (p != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 2390 for (i=0; i<m; i++) { 2391 x[i] = aa[i]; if (idx) idx[i] = 0; 2392 for (j=1; j<n; j++) { 2393 if (PetscRealPart(x[i]) < PetscRealPart(aa[i+a->lda*j])) {x[i] = aa[i + a->lda*j]; if (idx) idx[i] = j;} 2394 } 2395 } 2396 ierr = MatDenseRestoreArrayRead(A,&aa);CHKERRQ(ierr); 2397 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 2398 PetscFunctionReturn(0); 2399 } 2400 2401 static PetscErrorCode MatGetRowMaxAbs_SeqDense(Mat A,Vec v,PetscInt idx[]) 2402 { 2403 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2404 PetscErrorCode ierr; 2405 PetscInt i,j,m = A->rmap->n,n = A->cmap->n,p; 2406 PetscScalar *x; 2407 PetscReal atmp; 2408 const PetscScalar *aa; 2409 2410 PetscFunctionBegin; 2411 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 2412 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 2413 ierr = VecGetLocalSize(v,&p);CHKERRQ(ierr); 2414 ierr = MatDenseGetArrayRead(A,&aa);CHKERRQ(ierr); 2415 if (p != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 2416 for (i=0; i<m; i++) { 2417 x[i] = PetscAbsScalar(aa[i]); 2418 for (j=1; j<n; j++) { 2419 atmp = PetscAbsScalar(aa[i+a->lda*j]); 2420 if (PetscAbsScalar(x[i]) < atmp) {x[i] = atmp; if (idx) idx[i] = j;} 2421 } 2422 } 2423 ierr = MatDenseRestoreArrayRead(A,&aa);CHKERRQ(ierr); 2424 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 2425 PetscFunctionReturn(0); 2426 } 2427 2428 static PetscErrorCode MatGetRowMin_SeqDense(Mat A,Vec v,PetscInt idx[]) 2429 { 2430 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2431 PetscErrorCode ierr; 2432 PetscInt i,j,m = A->rmap->n,n = A->cmap->n,p; 2433 PetscScalar *x; 2434 const PetscScalar *aa; 2435 2436 PetscFunctionBegin; 2437 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 2438 ierr = MatDenseGetArrayRead(A,&aa);CHKERRQ(ierr); 2439 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 2440 ierr = VecGetLocalSize(v,&p);CHKERRQ(ierr); 2441 if (p != A->rmap->n) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 2442 for (i=0; i<m; i++) { 2443 x[i] = aa[i]; if (idx) idx[i] = 0; 2444 for (j=1; j<n; j++) { 2445 if (PetscRealPart(x[i]) > PetscRealPart(aa[i+a->lda*j])) {x[i] = aa[i + a->lda*j]; if (idx) idx[i] = j;} 2446 } 2447 } 2448 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 2449 ierr = MatDenseRestoreArrayRead(A,&aa);CHKERRQ(ierr); 2450 PetscFunctionReturn(0); 2451 } 2452 2453 PetscErrorCode MatGetColumnVector_SeqDense(Mat A,Vec v,PetscInt col) 2454 { 2455 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2456 PetscErrorCode ierr; 2457 PetscScalar *x; 2458 const PetscScalar *aa; 2459 2460 PetscFunctionBegin; 2461 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 2462 ierr = MatDenseGetArrayRead(A,&aa);CHKERRQ(ierr); 2463 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 2464 ierr = PetscArraycpy(x,aa+col*a->lda,A->rmap->n);CHKERRQ(ierr); 2465 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 2466 ierr = MatDenseRestoreArrayRead(A,&aa);CHKERRQ(ierr); 2467 PetscFunctionReturn(0); 2468 } 2469 2470 PETSC_INTERN PetscErrorCode MatGetColumnNorms_SeqDense(Mat A,NormType type,PetscReal *norms) 2471 { 2472 PetscErrorCode ierr; 2473 PetscInt i,j,m,n; 2474 const PetscScalar *a; 2475 2476 PetscFunctionBegin; 2477 ierr = MatGetSize(A,&m,&n);CHKERRQ(ierr); 2478 ierr = PetscArrayzero(norms,n);CHKERRQ(ierr); 2479 ierr = MatDenseGetArrayRead(A,&a);CHKERRQ(ierr); 2480 if (type == NORM_2) { 2481 for (i=0; i<n; i++) { 2482 for (j=0; j<m; j++) { 2483 norms[i] += PetscAbsScalar(a[j]*a[j]); 2484 } 2485 a += m; 2486 } 2487 } else if (type == NORM_1) { 2488 for (i=0; i<n; i++) { 2489 for (j=0; j<m; j++) { 2490 norms[i] += PetscAbsScalar(a[j]); 2491 } 2492 a += m; 2493 } 2494 } else if (type == NORM_INFINITY) { 2495 for (i=0; i<n; i++) { 2496 for (j=0; j<m; j++) { 2497 norms[i] = PetscMax(PetscAbsScalar(a[j]),norms[i]); 2498 } 2499 a += m; 2500 } 2501 } else SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Unknown NormType"); 2502 ierr = MatDenseRestoreArrayRead(A,&a);CHKERRQ(ierr); 2503 if (type == NORM_2) { 2504 for (i=0; i<n; i++) norms[i] = PetscSqrtReal(norms[i]); 2505 } 2506 PetscFunctionReturn(0); 2507 } 2508 2509 static PetscErrorCode MatSetRandom_SeqDense(Mat x,PetscRandom rctx) 2510 { 2511 PetscErrorCode ierr; 2512 PetscScalar *a; 2513 PetscInt lda,m,n,i,j; 2514 2515 PetscFunctionBegin; 2516 ierr = MatGetSize(x,&m,&n);CHKERRQ(ierr); 2517 ierr = MatDenseGetLDA(x,&lda);CHKERRQ(ierr); 2518 ierr = MatDenseGetArray(x,&a);CHKERRQ(ierr); 2519 for (j=0; j<n; j++) { 2520 for (i=0; i<m; i++) { 2521 ierr = PetscRandomGetValue(rctx,a+j*lda+i);CHKERRQ(ierr); 2522 } 2523 } 2524 ierr = MatDenseRestoreArray(x,&a);CHKERRQ(ierr); 2525 PetscFunctionReturn(0); 2526 } 2527 2528 static PetscErrorCode MatMissingDiagonal_SeqDense(Mat A,PetscBool *missing,PetscInt *d) 2529 { 2530 PetscFunctionBegin; 2531 *missing = PETSC_FALSE; 2532 PetscFunctionReturn(0); 2533 } 2534 2535 /* vals is not const */ 2536 static PetscErrorCode MatDenseGetColumn_SeqDense(Mat A,PetscInt col,PetscScalar **vals) 2537 { 2538 PetscErrorCode ierr; 2539 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2540 PetscScalar *v; 2541 2542 PetscFunctionBegin; 2543 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 2544 ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr); 2545 *vals = v+col*a->lda; 2546 ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr); 2547 PetscFunctionReturn(0); 2548 } 2549 2550 static PetscErrorCode MatDenseRestoreColumn_SeqDense(Mat A,PetscScalar **vals) 2551 { 2552 PetscFunctionBegin; 2553 *vals = 0; /* user cannot accidently use the array later */ 2554 PetscFunctionReturn(0); 2555 } 2556 2557 /* -------------------------------------------------------------------*/ 2558 static struct _MatOps MatOps_Values = { MatSetValues_SeqDense, 2559 MatGetRow_SeqDense, 2560 MatRestoreRow_SeqDense, 2561 MatMult_SeqDense, 2562 /* 4*/ MatMultAdd_SeqDense, 2563 MatMultTranspose_SeqDense, 2564 MatMultTransposeAdd_SeqDense, 2565 0, 2566 0, 2567 0, 2568 /* 10*/ 0, 2569 MatLUFactor_SeqDense, 2570 MatCholeskyFactor_SeqDense, 2571 MatSOR_SeqDense, 2572 MatTranspose_SeqDense, 2573 /* 15*/ MatGetInfo_SeqDense, 2574 MatEqual_SeqDense, 2575 MatGetDiagonal_SeqDense, 2576 MatDiagonalScale_SeqDense, 2577 MatNorm_SeqDense, 2578 /* 20*/ MatAssemblyBegin_SeqDense, 2579 MatAssemblyEnd_SeqDense, 2580 MatSetOption_SeqDense, 2581 MatZeroEntries_SeqDense, 2582 /* 24*/ MatZeroRows_SeqDense, 2583 0, 2584 0, 2585 0, 2586 0, 2587 /* 29*/ MatSetUp_SeqDense, 2588 0, 2589 0, 2590 0, 2591 0, 2592 /* 34*/ MatDuplicate_SeqDense, 2593 0, 2594 0, 2595 0, 2596 0, 2597 /* 39*/ MatAXPY_SeqDense, 2598 MatCreateSubMatrices_SeqDense, 2599 0, 2600 MatGetValues_SeqDense, 2601 MatCopy_SeqDense, 2602 /* 44*/ MatGetRowMax_SeqDense, 2603 MatScale_SeqDense, 2604 MatShift_Basic, 2605 0, 2606 MatZeroRowsColumns_SeqDense, 2607 /* 49*/ MatSetRandom_SeqDense, 2608 0, 2609 0, 2610 0, 2611 0, 2612 /* 54*/ 0, 2613 0, 2614 0, 2615 0, 2616 0, 2617 /* 59*/ 0, 2618 MatDestroy_SeqDense, 2619 MatView_SeqDense, 2620 0, 2621 0, 2622 /* 64*/ 0, 2623 0, 2624 0, 2625 0, 2626 0, 2627 /* 69*/ MatGetRowMaxAbs_SeqDense, 2628 0, 2629 0, 2630 0, 2631 0, 2632 /* 74*/ 0, 2633 0, 2634 0, 2635 0, 2636 0, 2637 /* 79*/ 0, 2638 0, 2639 0, 2640 0, 2641 /* 83*/ MatLoad_SeqDense, 2642 MatIsSymmetric_SeqDense, 2643 MatIsHermitian_SeqDense, 2644 0, 2645 0, 2646 0, 2647 /* 89*/ 0, 2648 0, 2649 MatMatMultNumeric_SeqDense_SeqDense, 2650 0, 2651 0, 2652 /* 94*/ 0, 2653 0, 2654 0, 2655 MatMatTransposeMultNumeric_SeqDense_SeqDense, 2656 0, 2657 /* 99*/ MatProductSetFromOptions_SeqDense, 2658 0, 2659 0, 2660 MatConjugate_SeqDense, 2661 0, 2662 /*104*/ 0, 2663 MatRealPart_SeqDense, 2664 MatImaginaryPart_SeqDense, 2665 0, 2666 0, 2667 /*109*/ 0, 2668 0, 2669 MatGetRowMin_SeqDense, 2670 MatGetColumnVector_SeqDense, 2671 MatMissingDiagonal_SeqDense, 2672 /*114*/ 0, 2673 0, 2674 0, 2675 0, 2676 0, 2677 /*119*/ 0, 2678 0, 2679 0, 2680 0, 2681 0, 2682 /*124*/ 0, 2683 MatGetColumnNorms_SeqDense, 2684 0, 2685 0, 2686 0, 2687 /*129*/ 0, 2688 0, 2689 0, 2690 MatTransposeMatMultNumeric_SeqDense_SeqDense, 2691 0, 2692 /*134*/ 0, 2693 0, 2694 0, 2695 0, 2696 0, 2697 /*139*/ 0, 2698 0, 2699 0, 2700 0, 2701 0, 2702 MatCreateMPIMatConcatenateSeqMat_SeqDense, 2703 /*145*/ 0, 2704 0, 2705 0 2706 }; 2707 2708 /*@C 2709 MatCreateSeqDense - Creates a sequential dense matrix that 2710 is stored in column major order (the usual Fortran 77 manner). Many 2711 of the matrix operations use the BLAS and LAPACK routines. 2712 2713 Collective 2714 2715 Input Parameters: 2716 + comm - MPI communicator, set to PETSC_COMM_SELF 2717 . m - number of rows 2718 . n - number of columns 2719 - data - optional location of matrix data in column major order. Set data=NULL for PETSc 2720 to control all matrix memory allocation. 2721 2722 Output Parameter: 2723 . A - the matrix 2724 2725 Notes: 2726 The data input variable is intended primarily for Fortran programmers 2727 who wish to allocate their own matrix memory space. Most users should 2728 set data=NULL. 2729 2730 Level: intermediate 2731 2732 .seealso: MatCreate(), MatCreateDense(), MatSetValues() 2733 @*/ 2734 PetscErrorCode MatCreateSeqDense(MPI_Comm comm,PetscInt m,PetscInt n,PetscScalar *data,Mat *A) 2735 { 2736 PetscErrorCode ierr; 2737 2738 PetscFunctionBegin; 2739 ierr = MatCreate(comm,A);CHKERRQ(ierr); 2740 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 2741 ierr = MatSetType(*A,MATSEQDENSE);CHKERRQ(ierr); 2742 ierr = MatSeqDenseSetPreallocation(*A,data);CHKERRQ(ierr); 2743 PetscFunctionReturn(0); 2744 } 2745 2746 /*@C 2747 MatSeqDenseSetPreallocation - Sets the array used for storing the matrix elements 2748 2749 Collective 2750 2751 Input Parameters: 2752 + B - the matrix 2753 - data - the array (or NULL) 2754 2755 Notes: 2756 The data input variable is intended primarily for Fortran programmers 2757 who wish to allocate their own matrix memory space. Most users should 2758 need not call this routine. 2759 2760 Level: intermediate 2761 2762 .seealso: MatCreate(), MatCreateDense(), MatSetValues(), MatDenseSetLDA() 2763 2764 @*/ 2765 PetscErrorCode MatSeqDenseSetPreallocation(Mat B,PetscScalar data[]) 2766 { 2767 PetscErrorCode ierr; 2768 2769 PetscFunctionBegin; 2770 PetscValidHeaderSpecific(B,MAT_CLASSID,1); 2771 ierr = PetscTryMethod(B,"MatSeqDenseSetPreallocation_C",(Mat,PetscScalar[]),(B,data));CHKERRQ(ierr); 2772 PetscFunctionReturn(0); 2773 } 2774 2775 PetscErrorCode MatSeqDenseSetPreallocation_SeqDense(Mat B,PetscScalar *data) 2776 { 2777 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 2778 PetscErrorCode ierr; 2779 2780 PetscFunctionBegin; 2781 B->preallocated = PETSC_TRUE; 2782 2783 ierr = PetscLayoutSetUp(B->rmap);CHKERRQ(ierr); 2784 ierr = PetscLayoutSetUp(B->cmap);CHKERRQ(ierr); 2785 2786 if (b->lda <= 0) b->lda = B->rmap->n; 2787 2788 ierr = PetscIntMultError(b->lda,B->cmap->n,NULL);CHKERRQ(ierr); 2789 if (!data) { /* petsc-allocated storage */ 2790 if (!b->user_alloc) { ierr = PetscFree(b->v);CHKERRQ(ierr); } 2791 ierr = PetscCalloc1((size_t)b->lda*B->cmap->n,&b->v);CHKERRQ(ierr); 2792 ierr = PetscLogObjectMemory((PetscObject)B,b->lda*B->cmap->n*sizeof(PetscScalar));CHKERRQ(ierr); 2793 2794 b->user_alloc = PETSC_FALSE; 2795 } else { /* user-allocated storage */ 2796 if (!b->user_alloc) { ierr = PetscFree(b->v);CHKERRQ(ierr); } 2797 b->v = data; 2798 b->user_alloc = PETSC_TRUE; 2799 } 2800 B->assembled = PETSC_TRUE; 2801 PetscFunctionReturn(0); 2802 } 2803 2804 #if defined(PETSC_HAVE_ELEMENTAL) 2805 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_Elemental(Mat A, MatType newtype,MatReuse reuse,Mat *newmat) 2806 { 2807 Mat mat_elemental; 2808 PetscErrorCode ierr; 2809 const PetscScalar *array; 2810 PetscScalar *v_colwise; 2811 PetscInt M=A->rmap->N,N=A->cmap->N,i,j,k,*rows,*cols; 2812 2813 PetscFunctionBegin; 2814 ierr = PetscMalloc3(M*N,&v_colwise,M,&rows,N,&cols);CHKERRQ(ierr); 2815 ierr = MatDenseGetArrayRead(A,&array);CHKERRQ(ierr); 2816 /* convert column-wise array into row-wise v_colwise, see MatSetValues_Elemental() */ 2817 k = 0; 2818 for (j=0; j<N; j++) { 2819 cols[j] = j; 2820 for (i=0; i<M; i++) { 2821 v_colwise[j*M+i] = array[k++]; 2822 } 2823 } 2824 for (i=0; i<M; i++) { 2825 rows[i] = i; 2826 } 2827 ierr = MatDenseRestoreArrayRead(A,&array);CHKERRQ(ierr); 2828 2829 ierr = MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental);CHKERRQ(ierr); 2830 ierr = MatSetSizes(mat_elemental,PETSC_DECIDE,PETSC_DECIDE,M,N);CHKERRQ(ierr); 2831 ierr = MatSetType(mat_elemental,MATELEMENTAL);CHKERRQ(ierr); 2832 ierr = MatSetUp(mat_elemental);CHKERRQ(ierr); 2833 2834 /* PETSc-Elemental interaface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 2835 ierr = MatSetValues(mat_elemental,M,rows,N,cols,v_colwise,ADD_VALUES);CHKERRQ(ierr); 2836 ierr = MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2837 ierr = MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2838 ierr = PetscFree3(v_colwise,rows,cols);CHKERRQ(ierr); 2839 2840 if (reuse == MAT_INPLACE_MATRIX) { 2841 ierr = MatHeaderReplace(A,&mat_elemental);CHKERRQ(ierr); 2842 } else { 2843 *newmat = mat_elemental; 2844 } 2845 PetscFunctionReturn(0); 2846 } 2847 #endif 2848 2849 static PetscErrorCode MatDenseSetLDA_SeqDense(Mat B,PetscInt lda) 2850 { 2851 Mat_SeqDense *b = (Mat_SeqDense*)B->data; 2852 2853 PetscFunctionBegin; 2854 if (lda < B->rmap->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"LDA %D must be at least matrix dimension %D",lda,B->rmap->n); 2855 b->lda = lda; 2856 PetscFunctionReturn(0); 2857 } 2858 2859 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqDense(MPI_Comm comm,Mat inmat,PetscInt n,MatReuse scall,Mat *outmat) 2860 { 2861 PetscErrorCode ierr; 2862 PetscMPIInt size; 2863 2864 PetscFunctionBegin; 2865 ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr); 2866 if (size == 1) { 2867 if (scall == MAT_INITIAL_MATRIX) { 2868 ierr = MatDuplicate(inmat,MAT_COPY_VALUES,outmat);CHKERRQ(ierr); 2869 } else { 2870 ierr = MatCopy(inmat,*outmat,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 2871 } 2872 } else { 2873 ierr = MatCreateMPIMatConcatenateSeqMat_MPIDense(comm,inmat,n,scall,outmat);CHKERRQ(ierr); 2874 } 2875 PetscFunctionReturn(0); 2876 } 2877 2878 PetscErrorCode MatDenseGetColumnVec_SeqDense(Mat A,PetscInt col,Vec *v) 2879 { 2880 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2881 PetscErrorCode ierr; 2882 2883 PetscFunctionBegin; 2884 if (a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreColumnVec first"); 2885 if (!a->cvec) { 2886 ierr = VecCreateSeqWithArray(PetscObjectComm((PetscObject)A),A->rmap->bs,A->rmap->n,NULL,&a->cvec);CHKERRQ(ierr); 2887 } 2888 a->vecinuse = col + 1; 2889 ierr = MatDenseGetArray(A,(PetscScalar**)&a->ptrinuse);CHKERRQ(ierr); 2890 ierr = VecPlaceArray(a->cvec,a->ptrinuse + (size_t)col * (size_t)a->lda);CHKERRQ(ierr); 2891 *v = a->cvec; 2892 PetscFunctionReturn(0); 2893 } 2894 2895 PetscErrorCode MatDenseRestoreColumnVec_SeqDense(Mat A,PetscInt col,Vec *v) 2896 { 2897 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2898 PetscErrorCode ierr; 2899 2900 PetscFunctionBegin; 2901 if (!a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseGetColumnVec first"); 2902 if (!a->cvec) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Missing internal column vector"); 2903 a->vecinuse = 0; 2904 ierr = MatDenseRestoreArray(A,(PetscScalar**)&a->ptrinuse);CHKERRQ(ierr); 2905 ierr = VecResetArray(a->cvec);CHKERRQ(ierr); 2906 *v = NULL; 2907 PetscFunctionReturn(0); 2908 } 2909 2910 PetscErrorCode MatDenseGetColumnVecRead_SeqDense(Mat A,PetscInt col,Vec *v) 2911 { 2912 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2913 PetscErrorCode ierr; 2914 2915 PetscFunctionBegin; 2916 if (a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreColumnVec first"); 2917 if (!a->cvec) { 2918 ierr = VecCreateSeqWithArray(PetscObjectComm((PetscObject)A),A->rmap->bs,A->rmap->n,NULL,&a->cvec);CHKERRQ(ierr); 2919 } 2920 a->vecinuse = col + 1; 2921 ierr = MatDenseGetArrayRead(A,&a->ptrinuse);CHKERRQ(ierr); 2922 ierr = VecPlaceArray(a->cvec,a->ptrinuse + (size_t)col * (size_t)a->lda);CHKERRQ(ierr); 2923 ierr = VecLockReadPush(a->cvec);CHKERRQ(ierr); 2924 *v = a->cvec; 2925 PetscFunctionReturn(0); 2926 } 2927 2928 PetscErrorCode MatDenseRestoreColumnVecRead_SeqDense(Mat A,PetscInt col,Vec *v) 2929 { 2930 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2931 PetscErrorCode ierr; 2932 2933 PetscFunctionBegin; 2934 if (!a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseGetColumnVec first"); 2935 if (!a->cvec) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Missing internal column vector"); 2936 a->vecinuse = 0; 2937 ierr = MatDenseRestoreArrayRead(A,&a->ptrinuse);CHKERRQ(ierr); 2938 ierr = VecLockReadPop(a->cvec);CHKERRQ(ierr); 2939 ierr = VecResetArray(a->cvec);CHKERRQ(ierr); 2940 *v = NULL; 2941 PetscFunctionReturn(0); 2942 } 2943 2944 PetscErrorCode MatDenseGetColumnVecWrite_SeqDense(Mat A,PetscInt col,Vec *v) 2945 { 2946 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2947 PetscErrorCode ierr; 2948 2949 PetscFunctionBegin; 2950 if (a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseRestoreColumnVec first"); 2951 if (!a->cvec) { 2952 ierr = VecCreateSeqWithArray(PetscObjectComm((PetscObject)A),A->rmap->bs,A->rmap->n,NULL,&a->cvec);CHKERRQ(ierr); 2953 } 2954 a->vecinuse = col + 1; 2955 ierr = MatDenseGetArrayWrite(A,(PetscScalar**)&a->ptrinuse);CHKERRQ(ierr); 2956 ierr = VecPlaceArray(a->cvec,a->ptrinuse + (size_t)col * (size_t)a->lda);CHKERRQ(ierr); 2957 *v = a->cvec; 2958 PetscFunctionReturn(0); 2959 } 2960 2961 PetscErrorCode MatDenseRestoreColumnVecWrite_SeqDense(Mat A,PetscInt col,Vec *v) 2962 { 2963 Mat_SeqDense *a = (Mat_SeqDense*)A->data; 2964 PetscErrorCode ierr; 2965 2966 PetscFunctionBegin; 2967 if (!a->vecinuse) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Need to call MatDenseGetColumnVec first"); 2968 if (!a->cvec) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Missing internal column vector"); 2969 a->vecinuse = 0; 2970 ierr = MatDenseRestoreArrayWrite(A,(PetscScalar**)&a->ptrinuse);CHKERRQ(ierr); 2971 ierr = VecResetArray(a->cvec);CHKERRQ(ierr); 2972 *v = NULL; 2973 PetscFunctionReturn(0); 2974 } 2975 2976 /*MC 2977 MATSEQDENSE - MATSEQDENSE = "seqdense" - A matrix type to be used for sequential dense matrices. 2978 2979 Options Database Keys: 2980 . -mat_type seqdense - sets the matrix type to "seqdense" during a call to MatSetFromOptions() 2981 2982 Level: beginner 2983 2984 .seealso: MatCreateSeqDense() 2985 2986 M*/ 2987 PetscErrorCode MatCreate_SeqDense(Mat B) 2988 { 2989 Mat_SeqDense *b; 2990 PetscErrorCode ierr; 2991 PetscMPIInt size; 2992 2993 PetscFunctionBegin; 2994 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)B),&size);CHKERRQ(ierr); 2995 if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Comm must be of size 1"); 2996 2997 ierr = PetscNewLog(B,&b);CHKERRQ(ierr); 2998 ierr = PetscMemcpy(B->ops,&MatOps_Values,sizeof(struct _MatOps));CHKERRQ(ierr); 2999 B->data = (void*)b; 3000 3001 b->roworiented = PETSC_TRUE; 3002 3003 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetLDA_C",MatDenseGetLDA_SeqDense);CHKERRQ(ierr); 3004 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseSetLDA_C",MatDenseSetLDA_SeqDense);CHKERRQ(ierr); 3005 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetArray_C",MatDenseGetArray_SeqDense);CHKERRQ(ierr); 3006 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreArray_C",MatDenseRestoreArray_SeqDense);CHKERRQ(ierr); 3007 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDensePlaceArray_C",MatDensePlaceArray_SeqDense);CHKERRQ(ierr); 3008 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseResetArray_C",MatDenseResetArray_SeqDense);CHKERRQ(ierr); 3009 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseReplaceArray_C",MatDenseReplaceArray_SeqDense);CHKERRQ(ierr); 3010 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetArrayRead_C",MatDenseGetArray_SeqDense);CHKERRQ(ierr); 3011 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreArrayRead_C",MatDenseRestoreArray_SeqDense);CHKERRQ(ierr); 3012 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetArrayWrite_C",MatDenseGetArray_SeqDense);CHKERRQ(ierr); 3013 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreArrayWrite_C",MatDenseRestoreArray_SeqDense);CHKERRQ(ierr); 3014 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqdense_seqaij_C",MatConvert_SeqDense_SeqAIJ);CHKERRQ(ierr); 3015 #if defined(PETSC_HAVE_ELEMENTAL) 3016 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqdense_elemental_C",MatConvert_SeqDense_Elemental);CHKERRQ(ierr); 3017 #endif 3018 #if defined(PETSC_HAVE_CUDA) 3019 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqdense_seqdensecuda_C",MatConvert_SeqDense_SeqDenseCUDA);CHKERRQ(ierr); 3020 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqdensecuda_seqdensecuda_C",MatProductSetFromOptions_SeqDense);CHKERRQ(ierr); 3021 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqdensecuda_seqdense_C",MatProductSetFromOptions_SeqDense);CHKERRQ(ierr); 3022 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqdense_seqdensecuda_C",MatProductSetFromOptions_SeqDense);CHKERRQ(ierr); 3023 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqaijcusparse_seqdense_C",MatProductSetFromOptions_SeqAIJ_SeqDense);CHKERRQ(ierr); 3024 #endif 3025 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqDenseSetPreallocation_C",MatSeqDenseSetPreallocation_SeqDense);CHKERRQ(ierr); 3026 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqaij_seqdense_C",MatProductSetFromOptions_SeqAIJ_SeqDense);CHKERRQ(ierr); 3027 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqdense_seqdense_C",MatProductSetFromOptions_SeqDense);CHKERRQ(ierr); 3028 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqaij_seqdense_C",MatMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3029 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqaij_seqdense_C",MatMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3030 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqbaij_seqdense_C",MatProductSetFromOptions_SeqXBAIJ_SeqDense);CHKERRQ(ierr); 3031 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqbaij_seqdense_C",MatMatMultSymbolic_SeqBAIJ_SeqDense);CHKERRQ(ierr); 3032 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqbaij_seqdense_C",MatMatMultNumeric_SeqBAIJ_SeqDense);CHKERRQ(ierr); 3033 ierr = PetscObjectComposeFunction((PetscObject)B,"MatProductSetFromOptions_seqsbaij_seqdense_C",MatProductSetFromOptions_SeqXBAIJ_SeqDense);CHKERRQ(ierr); 3034 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqsbaij_seqdense_C",MatMatMultSymbolic_SeqSBAIJ_SeqDense);CHKERRQ(ierr); 3035 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqsbaij_seqdense_C",MatMatMultNumeric_SeqSBAIJ_SeqDense);CHKERRQ(ierr); 3036 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqaijperm_seqdense_C",MatMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3037 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqaijperm_seqdense_C",MatMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3038 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqaijsell_seqdense_C",MatMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3039 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqaijsell_seqdense_C",MatMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3040 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_seqaijmkl_seqdense_C",MatMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3041 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_seqaijmkl_seqdense_C",MatMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3042 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultSymbolic_nest_seqdense_C",MatMatMultSymbolic_Nest_Dense);CHKERRQ(ierr); 3043 ierr = PetscObjectComposeFunction((PetscObject)B,"MatMatMultNumeric_nest_seqdense_C",MatMatMultNumeric_Nest_Dense);CHKERRQ(ierr); 3044 3045 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultSymbolic_seqaij_seqdense_C",MatTransposeMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3046 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultNumeric_seqaij_seqdense_C",MatTransposeMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3047 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultSymbolic_seqaijperm_seqdense_C",MatTransposeMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3048 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultNumeric_seqaijperm_seqdense_C",MatTransposeMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3049 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultSymbolic_seqaijsell_seqdense_C",MatTransposeMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3050 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultNumeric_seqaijsell_seqdense_C",MatTransposeMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3051 3052 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultSymbolic_seqaijmkl_seqdense_C",MatTransposeMatMultSymbolic_SeqAIJ_SeqDense);CHKERRQ(ierr); 3053 ierr = PetscObjectComposeFunction((PetscObject)B,"MatTransposeMatMultNumeric_seqaijmkl_seqdense_C",MatTransposeMatMultNumeric_SeqAIJ_SeqDense);CHKERRQ(ierr); 3054 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetColumn_C",MatDenseGetColumn_SeqDense);CHKERRQ(ierr); 3055 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreColumn_C",MatDenseRestoreColumn_SeqDense);CHKERRQ(ierr); 3056 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetColumnVec_C",MatDenseGetColumnVec_SeqDense);CHKERRQ(ierr); 3057 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreColumnVec_C",MatDenseRestoreColumnVec_SeqDense);CHKERRQ(ierr); 3058 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetColumnVecRead_C",MatDenseGetColumnVecRead_SeqDense);CHKERRQ(ierr); 3059 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreColumnVecRead_C",MatDenseRestoreColumnVecRead_SeqDense);CHKERRQ(ierr); 3060 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseGetColumnVecWrite_C",MatDenseGetColumnVecWrite_SeqDense);CHKERRQ(ierr); 3061 ierr = PetscObjectComposeFunction((PetscObject)B,"MatDenseRestoreColumnVecWrite_C",MatDenseRestoreColumnVecWrite_SeqDense);CHKERRQ(ierr); 3062 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQDENSE);CHKERRQ(ierr); 3063 PetscFunctionReturn(0); 3064 } 3065 3066 /*@C 3067 MatDenseGetColumn - gives access to a column of a dense matrix. This is only the local part of the column. You MUST call MatDenseRestoreColumn() to avoid memory bleeding. 3068 3069 Not Collective 3070 3071 Input Parameter: 3072 + mat - a MATSEQDENSE or MATMPIDENSE matrix 3073 - col - column index 3074 3075 Output Parameter: 3076 . vals - pointer to the data 3077 3078 Level: intermediate 3079 3080 .seealso: MatDenseRestoreColumn() 3081 @*/ 3082 PetscErrorCode MatDenseGetColumn(Mat A,PetscInt col,PetscScalar **vals) 3083 { 3084 PetscErrorCode ierr; 3085 3086 PetscFunctionBegin; 3087 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3088 PetscValidLogicalCollectiveInt(A,col,2); 3089 PetscValidPointer(vals,3); 3090 ierr = PetscUseMethod(A,"MatDenseGetColumn_C",(Mat,PetscInt,PetscScalar**),(A,col,vals));CHKERRQ(ierr); 3091 PetscFunctionReturn(0); 3092 } 3093 3094 /*@C 3095 MatDenseRestoreColumn - returns access to a column of a dense matrix which is returned by MatDenseGetColumn(). 3096 3097 Not Collective 3098 3099 Input Parameter: 3100 . mat - a MATSEQDENSE or MATMPIDENSE matrix 3101 3102 Output Parameter: 3103 . vals - pointer to the data 3104 3105 Level: intermediate 3106 3107 .seealso: MatDenseGetColumn() 3108 @*/ 3109 PetscErrorCode MatDenseRestoreColumn(Mat A,PetscScalar **vals) 3110 { 3111 PetscErrorCode ierr; 3112 3113 PetscFunctionBegin; 3114 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3115 PetscValidPointer(vals,2); 3116 ierr = PetscUseMethod(A,"MatDenseRestoreColumn_C",(Mat,PetscScalar**),(A,vals));CHKERRQ(ierr); 3117 PetscFunctionReturn(0); 3118 } 3119 3120 /*@C 3121 MatDenseGetColumnVec - Gives read-write access to a column of a dense matrix, represented as a Vec. 3122 3123 Collective 3124 3125 Input Parameter: 3126 + mat - the Mat object 3127 - col - the column index 3128 3129 Output Parameter: 3130 . v - the vector 3131 3132 Notes: 3133 The vector is owned by PETSc. Users need to call MatDenseRestoreColumnVec() when the vector is no longer needed. 3134 Use MatDenseGetColumnVecRead() to obtain read-only access or MatDenseGetColumnVecWrite() for write-only access. 3135 3136 Level: intermediate 3137 3138 .seealso: MATDENSE, MATDENSECUDA, MatDenseGetColumnVecRead(), MatDenseGetColumnVecWrite(), MatDenseRestoreColumnVec(), MatDenseRestoreColumnVecRead(), MatDenseRestoreColumnVecWrite() 3139 @*/ 3140 PetscErrorCode MatDenseGetColumnVec(Mat A,PetscInt col,Vec *v) 3141 { 3142 PetscErrorCode ierr; 3143 3144 PetscFunctionBegin; 3145 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3146 PetscValidType(A,1); 3147 PetscValidLogicalCollectiveInt(A,col,2); 3148 PetscValidPointer(v,3); 3149 if (!A->preallocated) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ORDER,"Matrix not preallocated"); 3150 if (col < 0 || col > A->cmap->N) SETERRQ2(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Invalid col %D, should be in [0,%D)",col,A->cmap->N); 3151 ierr = PetscUseMethod(A,"MatDenseGetColumnVec_C",(Mat,PetscInt,Vec*),(A,col,v));CHKERRQ(ierr); 3152 PetscFunctionReturn(0); 3153 } 3154 3155 /*@C 3156 MatDenseRestoreColumnVec - Returns access to a column of a dense matrix obtained from MatDenseGetColumnVec(). 3157 3158 Collective 3159 3160 Input Parameter: 3161 + mat - the Mat object 3162 . col - the column index 3163 - v - the Vec object 3164 3165 Level: intermediate 3166 3167 .seealso: MATDENSE, MATDENSECUDA, MatDenseGetColumnVec(), MatDenseGetColumnVecRead(), MatDenseGetColumnVecWrite(), MatDenseRestoreColumnVecRead(), MatDenseRestoreColumnVecWrite() 3168 @*/ 3169 PetscErrorCode MatDenseRestoreColumnVec(Mat A,PetscInt col,Vec *v) 3170 { 3171 PetscErrorCode ierr; 3172 3173 PetscFunctionBegin; 3174 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3175 PetscValidType(A,1); 3176 PetscValidLogicalCollectiveInt(A,col,2); 3177 PetscValidPointer(v,3); 3178 if (!A->preallocated) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ORDER,"Matrix not preallocated"); 3179 if (col < 0 || col > A->cmap->N) SETERRQ2(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Invalid col %D, should be in [0,%D)",col,A->cmap->N); 3180 ierr = PetscUseMethod(A,"MatDenseRestoreColumnVec_C",(Mat,PetscInt,Vec*),(A,col,v));CHKERRQ(ierr); 3181 PetscFunctionReturn(0); 3182 } 3183 3184 /*@C 3185 MatDenseGetColumnVecRead - Gives read-only access to a column of a dense matrix, represented as a Vec. 3186 3187 Collective 3188 3189 Input Parameter: 3190 + mat - the Mat object 3191 - col - the column index 3192 3193 Output Parameter: 3194 . v - the vector 3195 3196 Notes: 3197 The vector is owned by PETSc and users cannot modify it. 3198 Users need to call MatDenseRestoreColumnVecRead() when the vector is no longer needed. 3199 Use MatDenseGetColumnVec() to obtain read-write access or MatDenseGetColumnVecWrite() for write-only access. 3200 3201 Level: intermediate 3202 3203 .seealso: MATDENSE, MATDENSECUDA, MatDenseGetColumnVec(), MatDenseGetColumnVecWrite(), MatDenseRestoreColumnVec(), MatDenseRestoreColumnVecRead(), MatDenseRestoreColumnVecWrite() 3204 @*/ 3205 PetscErrorCode MatDenseGetColumnVecRead(Mat A,PetscInt col,Vec *v) 3206 { 3207 PetscErrorCode ierr; 3208 3209 PetscFunctionBegin; 3210 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3211 PetscValidType(A,1); 3212 PetscValidLogicalCollectiveInt(A,col,2); 3213 PetscValidPointer(v,3); 3214 if (!A->preallocated) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ORDER,"Matrix not preallocated"); 3215 if (col < 0 || col > A->cmap->N) SETERRQ2(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Invalid col %D, should be in [0,%D)",col,A->cmap->N); 3216 ierr = PetscUseMethod(A,"MatDenseGetColumnVecRead_C",(Mat,PetscInt,Vec*),(A,col,v));CHKERRQ(ierr); 3217 PetscFunctionReturn(0); 3218 } 3219 3220 /*@C 3221 MatDenseRestoreColumnVecRead - Returns access to a column of a dense matrix obtained from MatDenseGetColumnVecRead(). 3222 3223 Collective 3224 3225 Input Parameter: 3226 + mat - the Mat object 3227 . col - the column index 3228 - v - the Vec object 3229 3230 Level: intermediate 3231 3232 .seealso: MATDENSE, MATDENSECUDA, MatDenseGetColumnVec(), MatDenseGetColumnVecRead(), MatDenseGetColumnVecWrite(), MatDenseRestoreColumnVec(), MatDenseRestoreColumnVecWrite() 3233 @*/ 3234 PetscErrorCode MatDenseRestoreColumnVecRead(Mat A,PetscInt col,Vec *v) 3235 { 3236 PetscErrorCode ierr; 3237 3238 PetscFunctionBegin; 3239 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3240 PetscValidType(A,1); 3241 PetscValidLogicalCollectiveInt(A,col,2); 3242 PetscValidPointer(v,3); 3243 if (!A->preallocated) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ORDER,"Matrix not preallocated"); 3244 if (col < 0 || col > A->cmap->N) SETERRQ2(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Invalid col %D, should be in [0,%D)",col,A->cmap->N); 3245 ierr = PetscUseMethod(A,"MatDenseRestoreColumnVecRead_C",(Mat,PetscInt,Vec*),(A,col,v));CHKERRQ(ierr); 3246 PetscFunctionReturn(0); 3247 } 3248 3249 /*@C 3250 MatDenseGetColumnVecWrite - Gives write-only access to a column of a dense matrix, represented as a Vec. 3251 3252 Collective 3253 3254 Input Parameter: 3255 + mat - the Mat object 3256 - col - the column index 3257 3258 Output Parameter: 3259 . v - the vector 3260 3261 Notes: 3262 The vector is owned by PETSc. Users need to call MatDenseRestoreColumnVecWrite() when the vector is no longer needed. 3263 Use MatDenseGetColumnVec() to obtain read-write access or MatDenseGetColumnVecRead() for read-only access. 3264 3265 Level: intermediate 3266 3267 .seealso: MATDENSE, MATDENSECUDA, MatDenseGetColumnVec(), MatDenseGetColumnVecRead(), MatDenseRestoreColumnVec(), MatDenseRestoreColumnVecRead(), MatDenseRestoreColumnVecWrite() 3268 @*/ 3269 PetscErrorCode MatDenseGetColumnVecWrite(Mat A,PetscInt col,Vec *v) 3270 { 3271 PetscErrorCode ierr; 3272 3273 PetscFunctionBegin; 3274 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3275 PetscValidType(A,1); 3276 PetscValidLogicalCollectiveInt(A,col,2); 3277 PetscValidPointer(v,3); 3278 if (!A->preallocated) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ORDER,"Matrix not preallocated"); 3279 if (col < 0 || col > A->cmap->N) SETERRQ2(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Invalid col %D, should be in [0,%D)",col,A->cmap->N); 3280 ierr = PetscUseMethod(A,"MatDenseGetColumnVecWrite_C",(Mat,PetscInt,Vec*),(A,col,v));CHKERRQ(ierr); 3281 PetscFunctionReturn(0); 3282 } 3283 3284 /*@C 3285 MatDenseRestoreColumnVecWrite - Returns access to a column of a dense matrix obtained from MatDenseGetColumnVecWrite(). 3286 3287 Collective 3288 3289 Input Parameter: 3290 + mat - the Mat object 3291 . col - the column index 3292 - v - the Vec object 3293 3294 Level: intermediate 3295 3296 .seealso: MATDENSE, MATDENSECUDA, MatDenseGetColumnVec(), MatDenseGetColumnVecRead(), MatDenseGetColumnVecWrite(), MatDenseRestoreColumnVec(), MatDenseRestoreColumnVecRead() 3297 @*/ 3298 PetscErrorCode MatDenseRestoreColumnVecWrite(Mat A,PetscInt col,Vec *v) 3299 { 3300 PetscErrorCode ierr; 3301 3302 PetscFunctionBegin; 3303 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 3304 PetscValidType(A,1); 3305 PetscValidLogicalCollectiveInt(A,col,2); 3306 PetscValidPointer(v,3); 3307 if (!A->preallocated) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_ORDER,"Matrix not preallocated"); 3308 if (col < 0 || col > A->cmap->N) SETERRQ2(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Invalid col %D, should be in [0,%D)",col,A->cmap->N); 3309 ierr = PetscUseMethod(A,"MatDenseRestoreColumnVecWrite_C",(Mat,PetscInt,Vec*),(A,col,v));CHKERRQ(ierr); 3310 PetscFunctionReturn(0); 3311 } 3312