1 /* 2 Defines the basic matrix operations for sequential dense. 3 Portions of this code are under: 4 Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved. 5 */ 6 7 #include <../src/mat/impls/dense/seq/dense.h> /*I "petscmat.h" I*/ 8 #include <../src/mat/impls/dense/mpi/mpidense.h> 9 #include <petscblaslapack.h> 10 #include <../src/mat/impls/aij/seq/aij.h> 11 #include <petsc/private/vecimpl.h> 12 13 PetscErrorCode MatSeqDenseSymmetrize_Private(Mat A, PetscBool hermitian) 14 { 15 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 16 PetscInt j, k, n = A->rmap->n; 17 PetscScalar *v; 18 19 PetscFunctionBegin; 20 PetscCheck(A->rmap->n == A->cmap->n, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Cannot symmetrize a rectangular matrix"); 21 PetscCall(MatDenseGetArray(A, &v)); 22 if (!hermitian) { 23 for (k = 0; k < n; k++) { 24 for (j = k; j < n; j++) v[j * mat->lda + k] = v[k * mat->lda + j]; 25 } 26 } else { 27 for (k = 0; k < n; k++) { 28 for (j = k; j < n; j++) v[j * mat->lda + k] = PetscConj(v[k * mat->lda + j]); 29 } 30 } 31 PetscCall(MatDenseRestoreArray(A, &v)); 32 PetscFunctionReturn(PETSC_SUCCESS); 33 } 34 35 PetscErrorCode MatSeqDenseInvertFactors_Private(Mat A) 36 { 37 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 38 PetscBLASInt info, n; 39 40 PetscFunctionBegin; 41 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(PETSC_SUCCESS); 42 PetscCall(PetscBLASIntCast(A->cmap->n, &n)); 43 if (A->factortype == MAT_FACTOR_LU) { 44 PetscCheck(mat->pivots, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Pivots not present"); 45 if (!mat->fwork) { 46 mat->lfwork = n; 47 PetscCall(PetscMalloc1(mat->lfwork, &mat->fwork)); 48 } 49 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 50 PetscCallBLAS("LAPACKgetri", LAPACKgetri_(&n, mat->v, &mat->lda, mat->pivots, mat->fwork, &mat->lfwork, &info)); 51 PetscCall(PetscFPTrapPop()); 52 PetscCall(PetscLogFlops((1.0 * A->cmap->n * A->cmap->n * A->cmap->n) / 3.0)); 53 } else if (A->factortype == MAT_FACTOR_CHOLESKY) { 54 if (A->spd == PETSC_BOOL3_TRUE) { 55 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 56 PetscCallBLAS("LAPACKpotri", LAPACKpotri_("L", &n, mat->v, &mat->lda, &info)); 57 PetscCall(PetscFPTrapPop()); 58 PetscCall(MatSeqDenseSymmetrize_Private(A, PETSC_TRUE)); 59 #if defined(PETSC_USE_COMPLEX) 60 } else if (A->hermitian == PETSC_BOOL3_TRUE) { 61 PetscCheck(mat->pivots, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Pivots not present"); 62 PetscCheck(mat->fwork, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Fwork not present"); 63 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 64 PetscCallBLAS("LAPACKhetri", LAPACKhetri_("L", &n, mat->v, &mat->lda, mat->pivots, mat->fwork, &info)); 65 PetscCall(PetscFPTrapPop()); 66 PetscCall(MatSeqDenseSymmetrize_Private(A, PETSC_TRUE)); 67 #endif 68 } else { /* symmetric case */ 69 PetscCheck(mat->pivots, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Pivots not present"); 70 PetscCheck(mat->fwork, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Fwork not present"); 71 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 72 PetscCallBLAS("LAPACKsytri", LAPACKsytri_("L", &n, mat->v, &mat->lda, mat->pivots, mat->fwork, &info)); 73 PetscCall(PetscFPTrapPop()); 74 PetscCall(MatSeqDenseSymmetrize_Private(A, PETSC_FALSE)); 75 } 76 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_MAT_CH_ZRPVT, "Bad Inversion: zero pivot in row %" PetscBLASInt_FMT, info - 1); 77 PetscCall(PetscLogFlops((1.0 * A->cmap->n * A->cmap->n * A->cmap->n) / 3.0)); 78 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Matrix must be factored to solve"); 79 80 A->ops->solve = NULL; 81 A->ops->matsolve = NULL; 82 A->ops->solvetranspose = NULL; 83 A->ops->matsolvetranspose = NULL; 84 A->ops->solveadd = NULL; 85 A->ops->solvetransposeadd = NULL; 86 A->factortype = MAT_FACTOR_NONE; 87 PetscCall(PetscFree(A->solvertype)); 88 PetscFunctionReturn(PETSC_SUCCESS); 89 } 90 91 static PetscErrorCode MatZeroRowsColumns_SeqDense(Mat A, PetscInt N, const PetscInt rows[], PetscScalar diag, Vec x, Vec b) 92 { 93 Mat_SeqDense *l = (Mat_SeqDense *)A->data; 94 PetscInt m = l->lda, n = A->cmap->n, r = A->rmap->n, i, j; 95 PetscScalar *slot, *bb, *v; 96 const PetscScalar *xx; 97 98 PetscFunctionBegin; 99 if (PetscDefined(USE_DEBUG)) { 100 for (i = 0; i < N; i++) { 101 PetscCheck(rows[i] >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Negative row requested to be zeroed"); 102 PetscCheck(rows[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row %" PetscInt_FMT " requested to be zeroed greater than or equal number of rows %" PetscInt_FMT, rows[i], A->rmap->n); 103 PetscCheck(rows[i] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Col %" PetscInt_FMT " requested to be zeroed greater than or equal number of cols %" PetscInt_FMT, rows[i], A->cmap->n); 104 } 105 } 106 if (!N) PetscFunctionReturn(PETSC_SUCCESS); 107 108 /* fix right-hand side if needed */ 109 if (x && b) { 110 Vec xt; 111 112 PetscCheck(A->rmap->n == A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only coded for square matrices"); 113 PetscCall(VecDuplicate(x, &xt)); 114 PetscCall(VecCopy(x, xt)); 115 PetscCall(VecScale(xt, -1.0)); 116 PetscCall(MatMultAdd(A, xt, b, b)); 117 PetscCall(VecDestroy(&xt)); 118 PetscCall(VecGetArrayRead(x, &xx)); 119 PetscCall(VecGetArray(b, &bb)); 120 for (i = 0; i < N; i++) bb[rows[i]] = diag * xx[rows[i]]; 121 PetscCall(VecRestoreArrayRead(x, &xx)); 122 PetscCall(VecRestoreArray(b, &bb)); 123 } 124 125 PetscCall(MatDenseGetArray(A, &v)); 126 for (i = 0; i < N; i++) { 127 slot = v + rows[i] * m; 128 PetscCall(PetscArrayzero(slot, r)); 129 } 130 for (i = 0; i < N; i++) { 131 slot = v + rows[i]; 132 for (j = 0; j < n; j++) { 133 *slot = 0.0; 134 slot += m; 135 } 136 } 137 if (diag != 0.0) { 138 PetscCheck(A->rmap->n == A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only coded for square matrices"); 139 for (i = 0; i < N; i++) { 140 slot = v + (m + 1) * rows[i]; 141 *slot = diag; 142 } 143 } 144 PetscCall(MatDenseRestoreArray(A, &v)); 145 PetscFunctionReturn(PETSC_SUCCESS); 146 } 147 148 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqDense(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 149 { 150 Mat B = NULL; 151 Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data; 152 Mat_SeqDense *b; 153 PetscInt *ai = a->i, *aj = a->j, m = A->rmap->N, n = A->cmap->N, i; 154 const MatScalar *av; 155 PetscBool isseqdense; 156 157 PetscFunctionBegin; 158 if (reuse == MAT_REUSE_MATRIX) { 159 PetscCall(PetscObjectTypeCompare((PetscObject)*newmat, MATSEQDENSE, &isseqdense)); 160 PetscCheck(isseqdense, PetscObjectComm((PetscObject)*newmat), PETSC_ERR_USER, "Cannot reuse matrix of type %s", ((PetscObject)*newmat)->type_name); 161 } 162 if (reuse != MAT_REUSE_MATRIX) { 163 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); 164 PetscCall(MatSetSizes(B, m, n, m, n)); 165 PetscCall(MatSetType(B, MATSEQDENSE)); 166 PetscCall(MatSeqDenseSetPreallocation(B, NULL)); 167 b = (Mat_SeqDense *)B->data; 168 } else { 169 b = (Mat_SeqDense *)((*newmat)->data); 170 for (i = 0; i < n; i++) PetscCall(PetscArrayzero(b->v + i * b->lda, m)); 171 } 172 PetscCall(MatSeqAIJGetArrayRead(A, &av)); 173 for (i = 0; i < m; i++) { 174 PetscInt j; 175 for (j = 0; j < ai[1] - ai[0]; j++) { 176 b->v[*aj * b->lda + i] = *av; 177 aj++; 178 av++; 179 } 180 ai++; 181 } 182 PetscCall(MatSeqAIJRestoreArrayRead(A, &av)); 183 184 if (reuse == MAT_INPLACE_MATRIX) { 185 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 186 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 187 PetscCall(MatHeaderReplace(A, &B)); 188 } else { 189 if (B) *newmat = B; 190 PetscCall(MatAssemblyBegin(*newmat, MAT_FINAL_ASSEMBLY)); 191 PetscCall(MatAssemblyEnd(*newmat, MAT_FINAL_ASSEMBLY)); 192 } 193 PetscFunctionReturn(PETSC_SUCCESS); 194 } 195 196 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_SeqAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 197 { 198 Mat B = NULL; 199 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 200 PetscInt i, j; 201 PetscInt *rows, *nnz; 202 MatScalar *aa = a->v, *vals; 203 204 PetscFunctionBegin; 205 PetscCall(PetscCalloc3(A->rmap->n, &rows, A->rmap->n, &nnz, A->rmap->n, &vals)); 206 if (reuse != MAT_REUSE_MATRIX) { 207 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); 208 PetscCall(MatSetSizes(B, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N)); 209 PetscCall(MatSetType(B, MATSEQAIJ)); 210 for (j = 0; j < A->cmap->n; j++) { 211 for (i = 0; i < A->rmap->n; i++) 212 if (aa[i] != 0.0 || (i == j && A->cmap->n == A->rmap->n)) ++nnz[i]; 213 aa += a->lda; 214 } 215 PetscCall(MatSeqAIJSetPreallocation(B, PETSC_DETERMINE, nnz)); 216 } else B = *newmat; 217 aa = a->v; 218 for (j = 0; j < A->cmap->n; j++) { 219 PetscInt numRows = 0; 220 for (i = 0; i < A->rmap->n; i++) 221 if (aa[i] != 0.0 || (i == j && A->cmap->n == A->rmap->n)) { 222 rows[numRows] = i; 223 vals[numRows++] = aa[i]; 224 } 225 PetscCall(MatSetValues(B, numRows, rows, 1, &j, vals, INSERT_VALUES)); 226 aa += a->lda; 227 } 228 PetscCall(PetscFree3(rows, nnz, vals)); 229 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 230 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 231 232 if (reuse == MAT_INPLACE_MATRIX) { 233 PetscCall(MatHeaderReplace(A, &B)); 234 } else if (reuse != MAT_REUSE_MATRIX) *newmat = B; 235 PetscFunctionReturn(PETSC_SUCCESS); 236 } 237 238 PetscErrorCode MatAXPY_SeqDense(Mat Y, PetscScalar alpha, Mat X, MatStructure str) 239 { 240 Mat_SeqDense *x = (Mat_SeqDense *)X->data, *y = (Mat_SeqDense *)Y->data; 241 const PetscScalar *xv; 242 PetscScalar *yv; 243 PetscBLASInt N, m, ldax = 0, lday = 0, one = 1; 244 245 PetscFunctionBegin; 246 PetscCall(MatDenseGetArrayRead(X, &xv)); 247 PetscCall(MatDenseGetArray(Y, &yv)); 248 PetscCall(PetscBLASIntCast(X->rmap->n * X->cmap->n, &N)); 249 PetscCall(PetscBLASIntCast(X->rmap->n, &m)); 250 PetscCall(PetscBLASIntCast(x->lda, &ldax)); 251 PetscCall(PetscBLASIntCast(y->lda, &lday)); 252 if (ldax > m || lday > m) { 253 for (PetscInt j = 0; j < X->cmap->n; j++) PetscCallBLAS("BLASaxpy", BLASaxpy_(&m, &alpha, PetscSafePointerPlusOffset(xv, j * ldax), &one, PetscSafePointerPlusOffset(yv, j * lday), &one)); 254 } else { 255 PetscCallBLAS("BLASaxpy", BLASaxpy_(&N, &alpha, xv, &one, yv, &one)); 256 } 257 PetscCall(MatDenseRestoreArrayRead(X, &xv)); 258 PetscCall(MatDenseRestoreArray(Y, &yv)); 259 PetscCall(PetscLogFlops(PetscMax(2.0 * N - 1, 0))); 260 PetscFunctionReturn(PETSC_SUCCESS); 261 } 262 263 static PetscErrorCode MatGetInfo_SeqDense(Mat A, MatInfoType flag, MatInfo *info) 264 { 265 PetscLogDouble N = A->rmap->n * A->cmap->n; 266 267 PetscFunctionBegin; 268 info->block_size = 1.0; 269 info->nz_allocated = N; 270 info->nz_used = N; 271 info->nz_unneeded = 0; 272 info->assemblies = A->num_ass; 273 info->mallocs = 0; 274 info->memory = 0; /* REVIEW ME */ 275 info->fill_ratio_given = 0; 276 info->fill_ratio_needed = 0; 277 info->factor_mallocs = 0; 278 PetscFunctionReturn(PETSC_SUCCESS); 279 } 280 281 PetscErrorCode MatScale_SeqDense(Mat A, PetscScalar alpha) 282 { 283 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 284 PetscScalar *v; 285 PetscBLASInt one = 1, j, nz, lda = 0; 286 287 PetscFunctionBegin; 288 PetscCall(MatDenseGetArray(A, &v)); 289 PetscCall(PetscBLASIntCast(a->lda, &lda)); 290 if (lda > A->rmap->n) { 291 PetscCall(PetscBLASIntCast(A->rmap->n, &nz)); 292 for (j = 0; j < A->cmap->n; j++) PetscCallBLAS("BLASscal", BLASscal_(&nz, &alpha, v + j * lda, &one)); 293 } else { 294 PetscCall(PetscBLASIntCast(A->rmap->n * A->cmap->n, &nz)); 295 PetscCallBLAS("BLASscal", BLASscal_(&nz, &alpha, v, &one)); 296 } 297 PetscCall(PetscLogFlops(A->rmap->n * A->cmap->n)); 298 PetscCall(MatDenseRestoreArray(A, &v)); 299 PetscFunctionReturn(PETSC_SUCCESS); 300 } 301 302 PetscErrorCode MatShift_SeqDense(Mat A, PetscScalar alpha) 303 { 304 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 305 PetscScalar *v; 306 PetscInt j, k; 307 308 PetscFunctionBegin; 309 PetscCall(MatDenseGetArray(A, &v)); 310 k = PetscMin(A->rmap->n, A->cmap->n); 311 for (j = 0; j < k; j++) v[j + j * a->lda] += alpha; 312 PetscCall(PetscLogFlops(k)); 313 PetscCall(MatDenseRestoreArray(A, &v)); 314 PetscFunctionReturn(PETSC_SUCCESS); 315 } 316 317 static PetscErrorCode MatIsHermitian_SeqDense(Mat A, PetscReal rtol, PetscBool *fl) 318 { 319 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 320 PetscInt i, j, m = A->rmap->n, N = a->lda; 321 const PetscScalar *v; 322 323 PetscFunctionBegin; 324 *fl = PETSC_FALSE; 325 if (A->rmap->n != A->cmap->n) PetscFunctionReturn(PETSC_SUCCESS); 326 PetscCall(MatDenseGetArrayRead(A, &v)); 327 for (i = 0; i < m; i++) { 328 for (j = i; j < m; j++) { 329 if (PetscAbsScalar(v[i + j * N] - PetscConj(v[j + i * N])) > rtol) goto restore; 330 } 331 } 332 *fl = PETSC_TRUE; 333 restore: 334 PetscCall(MatDenseRestoreArrayRead(A, &v)); 335 PetscFunctionReturn(PETSC_SUCCESS); 336 } 337 338 static PetscErrorCode MatIsSymmetric_SeqDense(Mat A, PetscReal rtol, PetscBool *fl) 339 { 340 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 341 PetscInt i, j, m = A->rmap->n, N = a->lda; 342 const PetscScalar *v; 343 344 PetscFunctionBegin; 345 *fl = PETSC_FALSE; 346 if (A->rmap->n != A->cmap->n) PetscFunctionReturn(PETSC_SUCCESS); 347 PetscCall(MatDenseGetArrayRead(A, &v)); 348 for (i = 0; i < m; i++) { 349 for (j = i; j < m; j++) { 350 if (PetscAbsScalar(v[i + j * N] - v[j + i * N]) > rtol) goto restore; 351 } 352 } 353 *fl = PETSC_TRUE; 354 restore: 355 PetscCall(MatDenseRestoreArrayRead(A, &v)); 356 PetscFunctionReturn(PETSC_SUCCESS); 357 } 358 359 PetscErrorCode MatDuplicateNoCreate_SeqDense(Mat newi, Mat A, MatDuplicateOption cpvalues) 360 { 361 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 362 PetscInt lda = mat->lda, j, m, nlda = lda; 363 PetscBool isdensecpu; 364 365 PetscFunctionBegin; 366 PetscCall(PetscLayoutReference(A->rmap, &newi->rmap)); 367 PetscCall(PetscLayoutReference(A->cmap, &newi->cmap)); 368 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { /* propagate LDA */ 369 PetscCall(MatDenseSetLDA(newi, lda)); 370 } 371 PetscCall(PetscObjectTypeCompare((PetscObject)newi, MATSEQDENSE, &isdensecpu)); 372 if (isdensecpu) PetscCall(MatSeqDenseSetPreallocation(newi, NULL)); 373 if (cpvalues == MAT_COPY_VALUES) { 374 const PetscScalar *av; 375 PetscScalar *v; 376 377 PetscCall(MatDenseGetArrayRead(A, &av)); 378 PetscCall(MatDenseGetArrayWrite(newi, &v)); 379 PetscCall(MatDenseGetLDA(newi, &nlda)); 380 m = A->rmap->n; 381 if (lda > m || nlda > m) { 382 for (j = 0; j < A->cmap->n; j++) PetscCall(PetscArraycpy(PetscSafePointerPlusOffset(v, j * nlda), PetscSafePointerPlusOffset(av, j * lda), m)); 383 } else { 384 PetscCall(PetscArraycpy(v, av, A->rmap->n * A->cmap->n)); 385 } 386 PetscCall(MatDenseRestoreArrayWrite(newi, &v)); 387 PetscCall(MatDenseRestoreArrayRead(A, &av)); 388 PetscCall(MatPropagateSymmetryOptions(A, newi)); 389 } 390 PetscFunctionReturn(PETSC_SUCCESS); 391 } 392 393 PetscErrorCode MatDuplicate_SeqDense(Mat A, MatDuplicateOption cpvalues, Mat *newmat) 394 { 395 PetscFunctionBegin; 396 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), newmat)); 397 PetscCall(MatSetSizes(*newmat, A->rmap->n, A->cmap->n, A->rmap->n, A->cmap->n)); 398 PetscCall(MatSetType(*newmat, ((PetscObject)A)->type_name)); 399 PetscCall(MatDuplicateNoCreate_SeqDense(*newmat, A, cpvalues)); 400 PetscFunctionReturn(PETSC_SUCCESS); 401 } 402 403 static PetscErrorCode MatSolve_SeqDense_Internal_LU(Mat A, PetscScalar *x, PetscBLASInt ldx, PetscBLASInt m, PetscBLASInt nrhs, PetscBLASInt k, PetscBool T) 404 { 405 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 406 PetscBLASInt info; 407 408 PetscFunctionBegin; 409 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 410 PetscCallBLAS("LAPACKgetrs", LAPACKgetrs_(T ? "T" : "N", &m, &nrhs, mat->v, &mat->lda, mat->pivots, x, &m, &info)); 411 PetscCall(PetscFPTrapPop()); 412 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "GETRS - Bad solve %" PetscBLASInt_FMT, info); 413 PetscCall(PetscLogFlops(nrhs * (2.0 * m * m - m))); 414 PetscFunctionReturn(PETSC_SUCCESS); 415 } 416 417 static PetscErrorCode MatConjugate_SeqDense(Mat); 418 419 static PetscErrorCode MatSolve_SeqDense_Internal_Cholesky(Mat A, PetscScalar *x, PetscBLASInt ldx, PetscBLASInt m, PetscBLASInt nrhs, PetscBLASInt k, PetscBool T) 420 { 421 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 422 PetscBLASInt info; 423 424 PetscFunctionBegin; 425 if (A->spd == PETSC_BOOL3_TRUE) { 426 if (PetscDefined(USE_COMPLEX) && T) PetscCall(MatConjugate_SeqDense(A)); 427 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 428 PetscCallBLAS("LAPACKpotrs", LAPACKpotrs_("L", &m, &nrhs, mat->v, &mat->lda, x, &m, &info)); 429 PetscCall(PetscFPTrapPop()); 430 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "POTRS Bad solve %" PetscBLASInt_FMT, info); 431 if (PetscDefined(USE_COMPLEX) && T) PetscCall(MatConjugate_SeqDense(A)); 432 #if defined(PETSC_USE_COMPLEX) 433 } else if (A->hermitian == PETSC_BOOL3_TRUE) { 434 if (T) PetscCall(MatConjugate_SeqDense(A)); 435 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 436 PetscCallBLAS("LAPACKhetrs", LAPACKhetrs_("L", &m, &nrhs, mat->v, &mat->lda, mat->pivots, x, &m, &info)); 437 PetscCall(PetscFPTrapPop()); 438 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "HETRS Bad solve %" PetscBLASInt_FMT, info); 439 if (T) PetscCall(MatConjugate_SeqDense(A)); 440 #endif 441 } else { /* symmetric case */ 442 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 443 PetscCallBLAS("LAPACKsytrs", LAPACKsytrs_("L", &m, &nrhs, mat->v, &mat->lda, mat->pivots, x, &m, &info)); 444 PetscCall(PetscFPTrapPop()); 445 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "SYTRS Bad solve %" PetscBLASInt_FMT, info); 446 } 447 PetscCall(PetscLogFlops(nrhs * (2.0 * m * m - m))); 448 PetscFunctionReturn(PETSC_SUCCESS); 449 } 450 451 static PetscErrorCode MatSolve_SeqDense_Internal_QR(Mat A, PetscScalar *x, PetscBLASInt ldx, PetscBLASInt m, PetscBLASInt nrhs, PetscBLASInt k) 452 { 453 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 454 PetscBLASInt info; 455 char trans; 456 457 PetscFunctionBegin; 458 if (PetscDefined(USE_COMPLEX)) { 459 trans = 'C'; 460 } else { 461 trans = 'T'; 462 } 463 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 464 { /* lwork depends on the number of right-hand sides */ 465 PetscBLASInt nlfwork, lfwork = -1; 466 PetscScalar fwork; 467 468 PetscCallBLAS("LAPACKormqr", LAPACKormqr_("L", &trans, &m, &nrhs, &mat->rank, mat->v, &mat->lda, mat->tau, x, &ldx, &fwork, &lfwork, &info)); 469 nlfwork = (PetscBLASInt)PetscRealPart(fwork); 470 if (nlfwork > mat->lfwork) { 471 mat->lfwork = nlfwork; 472 PetscCall(PetscFree(mat->fwork)); 473 PetscCall(PetscMalloc1(mat->lfwork, &mat->fwork)); 474 } 475 } 476 PetscCallBLAS("LAPACKormqr", LAPACKormqr_("L", &trans, &m, &nrhs, &mat->rank, mat->v, &mat->lda, mat->tau, x, &ldx, mat->fwork, &mat->lfwork, &info)); 477 PetscCall(PetscFPTrapPop()); 478 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "ORMQR - Bad orthogonal transform %" PetscBLASInt_FMT, info); 479 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 480 PetscCallBLAS("LAPACKtrtrs", LAPACKtrtrs_("U", "N", "N", &mat->rank, &nrhs, mat->v, &mat->lda, x, &ldx, &info)); 481 PetscCall(PetscFPTrapPop()); 482 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "TRTRS - Bad triangular solve %" PetscBLASInt_FMT, info); 483 for (PetscInt j = 0; j < nrhs; j++) { 484 for (PetscInt i = mat->rank; i < k; i++) x[j * ldx + i] = 0.; 485 } 486 PetscCall(PetscLogFlops(nrhs * (4.0 * m * mat->rank - PetscSqr(mat->rank)))); 487 PetscFunctionReturn(PETSC_SUCCESS); 488 } 489 490 static PetscErrorCode MatSolveTranspose_SeqDense_Internal_QR(Mat A, PetscScalar *x, PetscBLASInt ldx, PetscBLASInt m, PetscBLASInt nrhs, PetscBLASInt k) 491 { 492 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 493 PetscBLASInt info; 494 495 PetscFunctionBegin; 496 if (A->rmap->n == A->cmap->n && mat->rank == A->rmap->n) { 497 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 498 PetscCallBLAS("LAPACKtrtrs", LAPACKtrtrs_("U", "T", "N", &m, &nrhs, mat->v, &mat->lda, x, &ldx, &info)); 499 PetscCall(PetscFPTrapPop()); 500 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "TRTRS - Bad triangular solve %" PetscBLASInt_FMT, info); 501 if (PetscDefined(USE_COMPLEX)) PetscCall(MatConjugate_SeqDense(A)); 502 { /* lwork depends on the number of right-hand sides */ 503 PetscBLASInt nlfwork, lfwork = -1; 504 PetscScalar fwork; 505 506 PetscCallBLAS("LAPACKormqr", LAPACKormqr_("L", "N", &m, &nrhs, &mat->rank, mat->v, &mat->lda, mat->tau, x, &ldx, &fwork, &lfwork, &info)); 507 nlfwork = (PetscBLASInt)PetscRealPart(fwork); 508 if (nlfwork > mat->lfwork) { 509 mat->lfwork = nlfwork; 510 PetscCall(PetscFree(mat->fwork)); 511 PetscCall(PetscMalloc1(mat->lfwork, &mat->fwork)); 512 } 513 } 514 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 515 PetscCallBLAS("LAPACKormqr", LAPACKormqr_("L", "N", &m, &nrhs, &mat->rank, mat->v, &mat->lda, mat->tau, x, &ldx, mat->fwork, &mat->lfwork, &info)); 516 PetscCall(PetscFPTrapPop()); 517 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "ORMQR - Bad orthogonal transform %" PetscBLASInt_FMT, info); 518 if (PetscDefined(USE_COMPLEX)) PetscCall(MatConjugate_SeqDense(A)); 519 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "QR factored matrix cannot be used for transpose solve"); 520 PetscCall(PetscLogFlops(nrhs * (4.0 * m * mat->rank - PetscSqr(mat->rank)))); 521 PetscFunctionReturn(PETSC_SUCCESS); 522 } 523 524 static PetscErrorCode MatSolve_SeqDense_SetUp(Mat A, Vec xx, Vec yy, PetscScalar **_y, PetscBLASInt *_m, PetscBLASInt *_k) 525 { 526 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 527 PetscScalar *y; 528 PetscBLASInt m = 0, k = 0; 529 530 PetscFunctionBegin; 531 PetscCall(PetscBLASIntCast(A->rmap->n, &m)); 532 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 533 if (k < m) { 534 PetscCall(VecCopy(xx, mat->qrrhs)); 535 PetscCall(VecGetArray(mat->qrrhs, &y)); 536 } else { 537 PetscCall(VecCopy(xx, yy)); 538 PetscCall(VecGetArray(yy, &y)); 539 } 540 *_y = y; 541 *_k = k; 542 *_m = m; 543 PetscFunctionReturn(PETSC_SUCCESS); 544 } 545 546 static PetscErrorCode MatSolve_SeqDense_TearDown(Mat A, Vec xx, Vec yy, PetscScalar **_y, PetscBLASInt *_m, PetscBLASInt *_k) 547 { 548 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 549 PetscScalar *y = NULL; 550 PetscBLASInt m, k; 551 552 PetscFunctionBegin; 553 y = *_y; 554 *_y = NULL; 555 k = *_k; 556 m = *_m; 557 if (k < m) { 558 PetscScalar *yv; 559 PetscCall(VecGetArray(yy, &yv)); 560 PetscCall(PetscArraycpy(yv, y, k)); 561 PetscCall(VecRestoreArray(yy, &yv)); 562 PetscCall(VecRestoreArray(mat->qrrhs, &y)); 563 } else { 564 PetscCall(VecRestoreArray(yy, &y)); 565 } 566 PetscFunctionReturn(PETSC_SUCCESS); 567 } 568 569 static PetscErrorCode MatSolve_SeqDense_LU(Mat A, Vec xx, Vec yy) 570 { 571 PetscScalar *y = NULL; 572 PetscBLASInt m = 0, k = 0; 573 574 PetscFunctionBegin; 575 PetscCall(MatSolve_SeqDense_SetUp(A, xx, yy, &y, &m, &k)); 576 PetscCall(MatSolve_SeqDense_Internal_LU(A, y, m, m, 1, k, PETSC_FALSE)); 577 PetscCall(MatSolve_SeqDense_TearDown(A, xx, yy, &y, &m, &k)); 578 PetscFunctionReturn(PETSC_SUCCESS); 579 } 580 581 static PetscErrorCode MatSolveTranspose_SeqDense_LU(Mat A, Vec xx, Vec yy) 582 { 583 PetscScalar *y = NULL; 584 PetscBLASInt m = 0, k = 0; 585 586 PetscFunctionBegin; 587 PetscCall(MatSolve_SeqDense_SetUp(A, xx, yy, &y, &m, &k)); 588 PetscCall(MatSolve_SeqDense_Internal_LU(A, y, m, m, 1, k, PETSC_TRUE)); 589 PetscCall(MatSolve_SeqDense_TearDown(A, xx, yy, &y, &m, &k)); 590 PetscFunctionReturn(PETSC_SUCCESS); 591 } 592 593 static PetscErrorCode MatSolve_SeqDense_Cholesky(Mat A, Vec xx, Vec yy) 594 { 595 PetscScalar *y = NULL; 596 PetscBLASInt m = 0, k = 0; 597 598 PetscFunctionBegin; 599 PetscCall(MatSolve_SeqDense_SetUp(A, xx, yy, &y, &m, &k)); 600 PetscCall(MatSolve_SeqDense_Internal_Cholesky(A, y, m, m, 1, k, PETSC_FALSE)); 601 PetscCall(MatSolve_SeqDense_TearDown(A, xx, yy, &y, &m, &k)); 602 PetscFunctionReturn(PETSC_SUCCESS); 603 } 604 605 static PetscErrorCode MatSolveTranspose_SeqDense_Cholesky(Mat A, Vec xx, Vec yy) 606 { 607 PetscScalar *y = NULL; 608 PetscBLASInt m = 0, k = 0; 609 610 PetscFunctionBegin; 611 PetscCall(MatSolve_SeqDense_SetUp(A, xx, yy, &y, &m, &k)); 612 PetscCall(MatSolve_SeqDense_Internal_Cholesky(A, y, m, m, 1, k, PETSC_TRUE)); 613 PetscCall(MatSolve_SeqDense_TearDown(A, xx, yy, &y, &m, &k)); 614 PetscFunctionReturn(PETSC_SUCCESS); 615 } 616 617 static PetscErrorCode MatSolve_SeqDense_QR(Mat A, Vec xx, Vec yy) 618 { 619 PetscScalar *y = NULL; 620 PetscBLASInt m = 0, k = 0; 621 622 PetscFunctionBegin; 623 PetscCall(MatSolve_SeqDense_SetUp(A, xx, yy, &y, &m, &k)); 624 PetscCall(MatSolve_SeqDense_Internal_QR(A, y, PetscMax(m, k), m, 1, k)); 625 PetscCall(MatSolve_SeqDense_TearDown(A, xx, yy, &y, &m, &k)); 626 PetscFunctionReturn(PETSC_SUCCESS); 627 } 628 629 static PetscErrorCode MatSolveTranspose_SeqDense_QR(Mat A, Vec xx, Vec yy) 630 { 631 PetscScalar *y = NULL; 632 PetscBLASInt m = 0, k = 0; 633 634 PetscFunctionBegin; 635 PetscCall(MatSolve_SeqDense_SetUp(A, xx, yy, &y, &m, &k)); 636 PetscCall(MatSolveTranspose_SeqDense_Internal_QR(A, y, PetscMax(m, k), m, 1, k)); 637 PetscCall(MatSolve_SeqDense_TearDown(A, xx, yy, &y, &m, &k)); 638 PetscFunctionReturn(PETSC_SUCCESS); 639 } 640 641 static PetscErrorCode MatMatSolve_SeqDense_SetUp(Mat A, Mat B, Mat X, PetscScalar **_y, PetscBLASInt *_ldy, PetscBLASInt *_m, PetscBLASInt *_nrhs, PetscBLASInt *_k) 642 { 643 const PetscScalar *b; 644 PetscScalar *y; 645 PetscInt n, _ldb, _ldx; 646 PetscBLASInt nrhs = 0, m = 0, k = 0, ldb = 0, ldx = 0, ldy = 0; 647 648 PetscFunctionBegin; 649 *_ldy = 0; 650 *_m = 0; 651 *_nrhs = 0; 652 *_k = 0; 653 *_y = NULL; 654 PetscCall(PetscBLASIntCast(A->rmap->n, &m)); 655 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 656 PetscCall(MatGetSize(B, NULL, &n)); 657 PetscCall(PetscBLASIntCast(n, &nrhs)); 658 PetscCall(MatDenseGetLDA(B, &_ldb)); 659 PetscCall(PetscBLASIntCast(_ldb, &ldb)); 660 PetscCall(MatDenseGetLDA(X, &_ldx)); 661 PetscCall(PetscBLASIntCast(_ldx, &ldx)); 662 if (ldx < m) { 663 PetscCall(MatDenseGetArrayRead(B, &b)); 664 PetscCall(PetscMalloc1(nrhs * m, &y)); 665 if (ldb == m) { 666 PetscCall(PetscArraycpy(y, b, ldb * nrhs)); 667 } else { 668 for (PetscInt j = 0; j < nrhs; j++) PetscCall(PetscArraycpy(&y[j * m], &b[j * ldb], m)); 669 } 670 ldy = m; 671 PetscCall(MatDenseRestoreArrayRead(B, &b)); 672 } else { 673 if (ldb == ldx) { 674 PetscCall(MatCopy(B, X, SAME_NONZERO_PATTERN)); 675 PetscCall(MatDenseGetArray(X, &y)); 676 } else { 677 PetscCall(MatDenseGetArray(X, &y)); 678 PetscCall(MatDenseGetArrayRead(B, &b)); 679 for (PetscInt j = 0; j < nrhs; j++) PetscCall(PetscArraycpy(&y[j * ldx], &b[j * ldb], m)); 680 PetscCall(MatDenseRestoreArrayRead(B, &b)); 681 } 682 ldy = ldx; 683 } 684 *_y = y; 685 *_ldy = ldy; 686 *_k = k; 687 *_m = m; 688 *_nrhs = nrhs; 689 PetscFunctionReturn(PETSC_SUCCESS); 690 } 691 692 static PetscErrorCode MatMatSolve_SeqDense_TearDown(Mat A, Mat B, Mat X, PetscScalar **_y, PetscBLASInt *_ldy, PetscBLASInt *_m, PetscBLASInt *_nrhs, PetscBLASInt *_k) 693 { 694 PetscScalar *y; 695 PetscInt _ldx; 696 PetscBLASInt k, ldy, nrhs, ldx = 0; 697 698 PetscFunctionBegin; 699 y = *_y; 700 *_y = NULL; 701 k = *_k; 702 ldy = *_ldy; 703 nrhs = *_nrhs; 704 PetscCall(MatDenseGetLDA(X, &_ldx)); 705 PetscCall(PetscBLASIntCast(_ldx, &ldx)); 706 if (ldx != ldy) { 707 PetscScalar *xv; 708 PetscCall(MatDenseGetArray(X, &xv)); 709 for (PetscInt j = 0; j < nrhs; j++) PetscCall(PetscArraycpy(&xv[j * ldx], &y[j * ldy], k)); 710 PetscCall(MatDenseRestoreArray(X, &xv)); 711 PetscCall(PetscFree(y)); 712 } else { 713 PetscCall(MatDenseRestoreArray(X, &y)); 714 } 715 PetscFunctionReturn(PETSC_SUCCESS); 716 } 717 718 static PetscErrorCode MatMatSolve_SeqDense_LU(Mat A, Mat B, Mat X) 719 { 720 PetscScalar *y; 721 PetscBLASInt m, k, ldy, nrhs; 722 723 PetscFunctionBegin; 724 PetscCall(MatMatSolve_SeqDense_SetUp(A, B, X, &y, &ldy, &m, &nrhs, &k)); 725 PetscCall(MatSolve_SeqDense_Internal_LU(A, y, ldy, m, nrhs, k, PETSC_FALSE)); 726 PetscCall(MatMatSolve_SeqDense_TearDown(A, B, X, &y, &ldy, &m, &nrhs, &k)); 727 PetscFunctionReturn(PETSC_SUCCESS); 728 } 729 730 static PetscErrorCode MatMatSolveTranspose_SeqDense_LU(Mat A, Mat B, Mat X) 731 { 732 PetscScalar *y; 733 PetscBLASInt m, k, ldy, nrhs; 734 735 PetscFunctionBegin; 736 PetscCall(MatMatSolve_SeqDense_SetUp(A, B, X, &y, &ldy, &m, &nrhs, &k)); 737 PetscCall(MatSolve_SeqDense_Internal_LU(A, y, ldy, m, nrhs, k, PETSC_TRUE)); 738 PetscCall(MatMatSolve_SeqDense_TearDown(A, B, X, &y, &ldy, &m, &nrhs, &k)); 739 PetscFunctionReturn(PETSC_SUCCESS); 740 } 741 742 static PetscErrorCode MatMatSolve_SeqDense_Cholesky(Mat A, Mat B, Mat X) 743 { 744 PetscScalar *y; 745 PetscBLASInt m, k, ldy, nrhs; 746 747 PetscFunctionBegin; 748 PetscCall(MatMatSolve_SeqDense_SetUp(A, B, X, &y, &ldy, &m, &nrhs, &k)); 749 PetscCall(MatSolve_SeqDense_Internal_Cholesky(A, y, ldy, m, nrhs, k, PETSC_FALSE)); 750 PetscCall(MatMatSolve_SeqDense_TearDown(A, B, X, &y, &ldy, &m, &nrhs, &k)); 751 PetscFunctionReturn(PETSC_SUCCESS); 752 } 753 754 static PetscErrorCode MatMatSolveTranspose_SeqDense_Cholesky(Mat A, Mat B, Mat X) 755 { 756 PetscScalar *y; 757 PetscBLASInt m, k, ldy, nrhs; 758 759 PetscFunctionBegin; 760 PetscCall(MatMatSolve_SeqDense_SetUp(A, B, X, &y, &ldy, &m, &nrhs, &k)); 761 PetscCall(MatSolve_SeqDense_Internal_Cholesky(A, y, ldy, m, nrhs, k, PETSC_TRUE)); 762 PetscCall(MatMatSolve_SeqDense_TearDown(A, B, X, &y, &ldy, &m, &nrhs, &k)); 763 PetscFunctionReturn(PETSC_SUCCESS); 764 } 765 766 static PetscErrorCode MatMatSolve_SeqDense_QR(Mat A, Mat B, Mat X) 767 { 768 PetscScalar *y; 769 PetscBLASInt m, k, ldy, nrhs; 770 771 PetscFunctionBegin; 772 PetscCall(MatMatSolve_SeqDense_SetUp(A, B, X, &y, &ldy, &m, &nrhs, &k)); 773 PetscCall(MatSolve_SeqDense_Internal_QR(A, y, ldy, m, nrhs, k)); 774 PetscCall(MatMatSolve_SeqDense_TearDown(A, B, X, &y, &ldy, &m, &nrhs, &k)); 775 PetscFunctionReturn(PETSC_SUCCESS); 776 } 777 778 static PetscErrorCode MatMatSolveTranspose_SeqDense_QR(Mat A, Mat B, Mat X) 779 { 780 PetscScalar *y; 781 PetscBLASInt m, k, ldy, nrhs; 782 783 PetscFunctionBegin; 784 PetscCall(MatMatSolve_SeqDense_SetUp(A, B, X, &y, &ldy, &m, &nrhs, &k)); 785 PetscCall(MatSolveTranspose_SeqDense_Internal_QR(A, y, ldy, m, nrhs, k)); 786 PetscCall(MatMatSolve_SeqDense_TearDown(A, B, X, &y, &ldy, &m, &nrhs, &k)); 787 PetscFunctionReturn(PETSC_SUCCESS); 788 } 789 790 /* COMMENT: I have chosen to hide row permutation in the pivots, 791 rather than put it in the Mat->row slot.*/ 792 PetscErrorCode MatLUFactor_SeqDense(Mat A, IS row, IS col, const MatFactorInfo *minfo) 793 { 794 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 795 PetscBLASInt n, m, info; 796 797 PetscFunctionBegin; 798 PetscCall(PetscBLASIntCast(A->cmap->n, &n)); 799 PetscCall(PetscBLASIntCast(A->rmap->n, &m)); 800 if (!mat->pivots) { PetscCall(PetscMalloc1(A->rmap->n, &mat->pivots)); } 801 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(PETSC_SUCCESS); 802 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 803 PetscCallBLAS("LAPACKgetrf", LAPACKgetrf_(&m, &n, mat->v, &mat->lda, mat->pivots, &info)); 804 PetscCall(PetscFPTrapPop()); 805 806 PetscCheck(info >= 0, PETSC_COMM_SELF, PETSC_ERR_LIB, "Bad argument to LU factorization %" PetscBLASInt_FMT, info); 807 PetscCheck(info <= 0, PETSC_COMM_SELF, PETSC_ERR_MAT_LU_ZRPVT, "Bad LU factorization %" PetscBLASInt_FMT, info); 808 809 A->ops->solve = MatSolve_SeqDense_LU; 810 A->ops->matsolve = MatMatSolve_SeqDense_LU; 811 A->ops->solvetranspose = MatSolveTranspose_SeqDense_LU; 812 A->ops->matsolvetranspose = MatMatSolveTranspose_SeqDense_LU; 813 A->factortype = MAT_FACTOR_LU; 814 815 PetscCall(PetscFree(A->solvertype)); 816 PetscCall(PetscStrallocpy(MATSOLVERPETSC, &A->solvertype)); 817 818 PetscCall(PetscLogFlops((2.0 * A->cmap->n * A->cmap->n * A->cmap->n) / 3)); 819 PetscFunctionReturn(PETSC_SUCCESS); 820 } 821 822 static PetscErrorCode MatLUFactorNumeric_SeqDense(Mat fact, Mat A, const MatFactorInfo *info_dummy) 823 { 824 MatFactorInfo info; 825 826 PetscFunctionBegin; 827 PetscCall(MatDuplicateNoCreate_SeqDense(fact, A, MAT_COPY_VALUES)); 828 PetscUseTypeMethod(fact, lufactor, NULL, NULL, &info); 829 PetscFunctionReturn(PETSC_SUCCESS); 830 } 831 832 PetscErrorCode MatLUFactorSymbolic_SeqDense(Mat fact, Mat A, IS row, IS col, const MatFactorInfo *info) 833 { 834 PetscFunctionBegin; 835 fact->preallocated = PETSC_TRUE; 836 fact->assembled = PETSC_TRUE; 837 fact->ops->lufactornumeric = MatLUFactorNumeric_SeqDense; 838 PetscFunctionReturn(PETSC_SUCCESS); 839 } 840 841 /* Cholesky as L*L^T or L*D*L^T and the symmetric/hermitian complex variants */ 842 PetscErrorCode MatCholeskyFactor_SeqDense(Mat A, IS perm, const MatFactorInfo *factinfo) 843 { 844 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 845 PetscBLASInt info, n; 846 847 PetscFunctionBegin; 848 PetscCall(PetscBLASIntCast(A->cmap->n, &n)); 849 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(PETSC_SUCCESS); 850 if (A->spd == PETSC_BOOL3_TRUE) { 851 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 852 PetscCallBLAS("LAPACKpotrf", LAPACKpotrf_("L", &n, mat->v, &mat->lda, &info)); 853 PetscCall(PetscFPTrapPop()); 854 #if defined(PETSC_USE_COMPLEX) 855 } else if (A->hermitian == PETSC_BOOL3_TRUE) { 856 if (!mat->pivots) { PetscCall(PetscMalloc1(A->rmap->n, &mat->pivots)); } 857 if (!mat->fwork) { 858 PetscScalar dummy; 859 860 mat->lfwork = -1; 861 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 862 PetscCallBLAS("LAPACKhetrf", LAPACKhetrf_("L", &n, mat->v, &mat->lda, mat->pivots, &dummy, &mat->lfwork, &info)); 863 PetscCall(PetscFPTrapPop()); 864 PetscCall(PetscBLASIntCast((PetscCount)(PetscRealPart(dummy)), &mat->lfwork)); 865 PetscCall(PetscMalloc1(mat->lfwork, &mat->fwork)); 866 } 867 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 868 PetscCallBLAS("LAPACKhetrf", LAPACKhetrf_("L", &n, mat->v, &mat->lda, mat->pivots, mat->fwork, &mat->lfwork, &info)); 869 PetscCall(PetscFPTrapPop()); 870 #endif 871 } else { /* symmetric case */ 872 if (!mat->pivots) { PetscCall(PetscMalloc1(A->rmap->n, &mat->pivots)); } 873 if (!mat->fwork) { 874 PetscScalar dummy; 875 876 mat->lfwork = -1; 877 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 878 PetscCallBLAS("LAPACKsytrf", LAPACKsytrf_("L", &n, mat->v, &mat->lda, mat->pivots, &dummy, &mat->lfwork, &info)); 879 PetscCall(PetscFPTrapPop()); 880 PetscCall(PetscBLASIntCast((PetscCount)(PetscRealPart(dummy)), &mat->lfwork)); 881 PetscCall(PetscMalloc1(mat->lfwork, &mat->fwork)); 882 } 883 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 884 PetscCallBLAS("LAPACKsytrf", LAPACKsytrf_("L", &n, mat->v, &mat->lda, mat->pivots, mat->fwork, &mat->lfwork, &info)); 885 PetscCall(PetscFPTrapPop()); 886 } 887 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_MAT_CH_ZRPVT, "Bad factorization: zero pivot in row %" PetscBLASInt_FMT, info - 1); 888 889 A->ops->solve = MatSolve_SeqDense_Cholesky; 890 A->ops->matsolve = MatMatSolve_SeqDense_Cholesky; 891 A->ops->solvetranspose = MatSolveTranspose_SeqDense_Cholesky; 892 A->ops->matsolvetranspose = MatMatSolveTranspose_SeqDense_Cholesky; 893 A->factortype = MAT_FACTOR_CHOLESKY; 894 895 PetscCall(PetscFree(A->solvertype)); 896 PetscCall(PetscStrallocpy(MATSOLVERPETSC, &A->solvertype)); 897 898 PetscCall(PetscLogFlops((1.0 * A->cmap->n * A->cmap->n * A->cmap->n) / 3.0)); 899 PetscFunctionReturn(PETSC_SUCCESS); 900 } 901 902 static PetscErrorCode MatCholeskyFactorNumeric_SeqDense(Mat fact, Mat A, const MatFactorInfo *info_dummy) 903 { 904 MatFactorInfo info; 905 906 PetscFunctionBegin; 907 info.fill = 1.0; 908 909 PetscCall(MatDuplicateNoCreate_SeqDense(fact, A, MAT_COPY_VALUES)); 910 PetscUseTypeMethod(fact, choleskyfactor, NULL, &info); 911 PetscFunctionReturn(PETSC_SUCCESS); 912 } 913 914 PetscErrorCode MatCholeskyFactorSymbolic_SeqDense(Mat fact, Mat A, IS row, const MatFactorInfo *info) 915 { 916 PetscFunctionBegin; 917 fact->assembled = PETSC_TRUE; 918 fact->preallocated = PETSC_TRUE; 919 fact->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqDense; 920 PetscFunctionReturn(PETSC_SUCCESS); 921 } 922 923 PetscErrorCode MatQRFactor_SeqDense(Mat A, IS col, const MatFactorInfo *minfo) 924 { 925 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 926 PetscBLASInt n, m, info, min, max; 927 928 PetscFunctionBegin; 929 PetscCall(PetscBLASIntCast(A->cmap->n, &n)); 930 PetscCall(PetscBLASIntCast(A->rmap->n, &m)); 931 max = PetscMax(m, n); 932 min = PetscMin(m, n); 933 if (!mat->tau) { PetscCall(PetscMalloc1(min, &mat->tau)); } 934 if (!mat->pivots) { PetscCall(PetscMalloc1(n, &mat->pivots)); } 935 if (!mat->qrrhs) PetscCall(MatCreateVecs(A, NULL, &mat->qrrhs)); 936 if (!A->rmap->n || !A->cmap->n) PetscFunctionReturn(PETSC_SUCCESS); 937 if (!mat->fwork) { 938 PetscScalar dummy; 939 940 mat->lfwork = -1; 941 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 942 PetscCallBLAS("LAPACKgeqrf", LAPACKgeqrf_(&m, &n, mat->v, &mat->lda, mat->tau, &dummy, &mat->lfwork, &info)); 943 PetscCall(PetscFPTrapPop()); 944 PetscCall(PetscBLASIntCast((PetscCount)(PetscRealPart(dummy)), &mat->lfwork)); 945 PetscCall(PetscMalloc1(mat->lfwork, &mat->fwork)); 946 } 947 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF)); 948 PetscCallBLAS("LAPACKgeqrf", LAPACKgeqrf_(&m, &n, mat->v, &mat->lda, mat->tau, mat->fwork, &mat->lfwork, &info)); 949 PetscCall(PetscFPTrapPop()); 950 PetscCheck(!info, PETSC_COMM_SELF, PETSC_ERR_LIB, "Bad argument to QR factorization %" PetscBLASInt_FMT, info); 951 // TODO: try to estimate rank or test for and use geqp3 for rank revealing QR. For now just say rank is min of m and n 952 mat->rank = min; 953 954 A->ops->solve = MatSolve_SeqDense_QR; 955 A->ops->matsolve = MatMatSolve_SeqDense_QR; 956 A->factortype = MAT_FACTOR_QR; 957 if (m == n) { 958 A->ops->solvetranspose = MatSolveTranspose_SeqDense_QR; 959 A->ops->matsolvetranspose = MatMatSolveTranspose_SeqDense_QR; 960 } 961 962 PetscCall(PetscFree(A->solvertype)); 963 PetscCall(PetscStrallocpy(MATSOLVERPETSC, &A->solvertype)); 964 965 PetscCall(PetscLogFlops(2.0 * min * min * (max - min / 3.0))); 966 PetscFunctionReturn(PETSC_SUCCESS); 967 } 968 969 static PetscErrorCode MatQRFactorNumeric_SeqDense(Mat fact, Mat A, const MatFactorInfo *info_dummy) 970 { 971 MatFactorInfo info; 972 973 PetscFunctionBegin; 974 info.fill = 1.0; 975 976 PetscCall(MatDuplicateNoCreate_SeqDense(fact, A, MAT_COPY_VALUES)); 977 PetscUseMethod(fact, "MatQRFactor_C", (Mat, IS, const MatFactorInfo *), (fact, NULL, &info)); 978 PetscFunctionReturn(PETSC_SUCCESS); 979 } 980 981 PetscErrorCode MatQRFactorSymbolic_SeqDense(Mat fact, Mat A, IS row, const MatFactorInfo *info) 982 { 983 PetscFunctionBegin; 984 fact->assembled = PETSC_TRUE; 985 fact->preallocated = PETSC_TRUE; 986 PetscCall(PetscObjectComposeFunction((PetscObject)fact, "MatQRFactorNumeric_C", MatQRFactorNumeric_SeqDense)); 987 PetscFunctionReturn(PETSC_SUCCESS); 988 } 989 990 /* uses LAPACK */ 991 PETSC_INTERN PetscErrorCode MatGetFactor_seqdense_petsc(Mat A, MatFactorType ftype, Mat *fact) 992 { 993 PetscFunctionBegin; 994 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), fact)); 995 PetscCall(MatSetSizes(*fact, A->rmap->n, A->cmap->n, A->rmap->n, A->cmap->n)); 996 PetscCall(MatSetType(*fact, MATDENSE)); 997 (*fact)->trivialsymbolic = PETSC_TRUE; 998 if (ftype == MAT_FACTOR_LU || ftype == MAT_FACTOR_ILU) { 999 (*fact)->ops->lufactorsymbolic = MatLUFactorSymbolic_SeqDense; 1000 (*fact)->ops->ilufactorsymbolic = MatLUFactorSymbolic_SeqDense; 1001 } else if (ftype == MAT_FACTOR_CHOLESKY || ftype == MAT_FACTOR_ICC) { 1002 (*fact)->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_SeqDense; 1003 } else if (ftype == MAT_FACTOR_QR) { 1004 PetscCall(PetscObjectComposeFunction((PetscObject)*fact, "MatQRFactorSymbolic_C", MatQRFactorSymbolic_SeqDense)); 1005 } 1006 (*fact)->factortype = ftype; 1007 1008 PetscCall(PetscFree((*fact)->solvertype)); 1009 PetscCall(PetscStrallocpy(MATSOLVERPETSC, &(*fact)->solvertype)); 1010 PetscCall(PetscStrallocpy(MATORDERINGEXTERNAL, (char **)&(*fact)->preferredordering[MAT_FACTOR_LU])); 1011 PetscCall(PetscStrallocpy(MATORDERINGEXTERNAL, (char **)&(*fact)->preferredordering[MAT_FACTOR_ILU])); 1012 PetscCall(PetscStrallocpy(MATORDERINGEXTERNAL, (char **)&(*fact)->preferredordering[MAT_FACTOR_CHOLESKY])); 1013 PetscCall(PetscStrallocpy(MATORDERINGEXTERNAL, (char **)&(*fact)->preferredordering[MAT_FACTOR_ICC])); 1014 PetscFunctionReturn(PETSC_SUCCESS); 1015 } 1016 1017 static PetscErrorCode MatSOR_SeqDense(Mat A, Vec bb, PetscReal omega, MatSORType flag, PetscReal shift, PetscInt its, PetscInt lits, Vec xx) 1018 { 1019 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1020 PetscScalar *x, *v = mat->v, zero = 0.0, xt; 1021 const PetscScalar *b; 1022 PetscInt m = A->rmap->n, i; 1023 PetscBLASInt o = 1, bm = 0; 1024 1025 PetscFunctionBegin; 1026 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1027 PetscCheck(A->offloadmask != PETSC_OFFLOAD_GPU, PETSC_COMM_SELF, PETSC_ERR_SUP, "Not implemented"); 1028 #endif 1029 if (shift == -1) shift = 0.0; /* negative shift indicates do not error on zero diagonal; this code never zeros on zero diagonal */ 1030 PetscCall(PetscBLASIntCast(m, &bm)); 1031 if (flag & SOR_ZERO_INITIAL_GUESS) { 1032 /* this is a hack fix, should have another version without the second BLASdotu */ 1033 PetscCall(VecSet(xx, zero)); 1034 } 1035 PetscCall(VecGetArray(xx, &x)); 1036 PetscCall(VecGetArrayRead(bb, &b)); 1037 its = its * lits; 1038 PetscCheck(its > 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Relaxation requires global its %" PetscInt_FMT " and local its %" PetscInt_FMT " both positive", its, lits); 1039 while (its--) { 1040 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) { 1041 for (i = 0; i < m; i++) { 1042 PetscCallBLAS("BLASdotu", xt = b[i] - BLASdotu_(&bm, v + i, &bm, x, &o)); 1043 x[i] = (1. - omega) * x[i] + (xt + v[i + i * m] * x[i]) * omega / (v[i + i * m] + shift); 1044 } 1045 } 1046 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) { 1047 for (i = m - 1; i >= 0; i--) { 1048 PetscCallBLAS("BLASdotu", xt = b[i] - BLASdotu_(&bm, v + i, &bm, x, &o)); 1049 x[i] = (1. - omega) * x[i] + (xt + v[i + i * m] * x[i]) * omega / (v[i + i * m] + shift); 1050 } 1051 } 1052 } 1053 PetscCall(VecRestoreArrayRead(bb, &b)); 1054 PetscCall(VecRestoreArray(xx, &x)); 1055 PetscFunctionReturn(PETSC_SUCCESS); 1056 } 1057 1058 static PetscErrorCode MatMultColumnRangeKernel_SeqDense(Mat A, Vec xx, Vec yy, PetscInt c_start, PetscInt c_end, PetscBool trans, PetscBool herm) 1059 { 1060 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1061 PetscScalar *y, _DOne = 1.0, _DZero = 0.0; 1062 PetscBLASInt m, n, _One = 1; 1063 const PetscScalar *v = mat->v, *x; 1064 1065 PetscFunctionBegin; 1066 PetscCall(PetscBLASIntCast(A->rmap->n, &m)); 1067 PetscCall(PetscBLASIntCast(c_end - c_start, &n)); 1068 PetscCall(VecGetArrayRead(xx, &x)); 1069 PetscCall(VecGetArrayWrite(yy, &y)); 1070 if (!m || !n) { 1071 PetscBLASInt i; 1072 if (trans) 1073 for (i = 0; i < n; i++) y[i] = 0.0; 1074 else 1075 for (i = 0; i < m; i++) y[i] = 0.0; 1076 } else { 1077 if (trans) { 1078 if (herm) PetscCallBLAS("BLASgemv", BLASgemv_("C", &m, &n, &_DOne, v + c_start * mat->lda, &mat->lda, x, &_One, &_DZero, y + c_start, &_One)); 1079 else PetscCallBLAS("BLASgemv", BLASgemv_("T", &m, &n, &_DOne, v + c_start * mat->lda, &mat->lda, x, &_One, &_DZero, y + c_start, &_One)); 1080 } else { 1081 PetscCallBLAS("BLASgemv", BLASgemv_("N", &m, &n, &_DOne, v + c_start * mat->lda, &mat->lda, x + c_start, &_One, &_DZero, y, &_One)); 1082 } 1083 PetscCall(PetscLogFlops(2.0 * m * n - n)); 1084 } 1085 PetscCall(VecRestoreArrayRead(xx, &x)); 1086 PetscCall(VecRestoreArrayWrite(yy, &y)); 1087 PetscFunctionReturn(PETSC_SUCCESS); 1088 } 1089 1090 PetscErrorCode MatMultHermitianTransposeColumnRange_SeqDense(Mat A, Vec xx, Vec yy, PetscInt c_start, PetscInt c_end) 1091 { 1092 PetscFunctionBegin; 1093 PetscCall(MatMultColumnRangeKernel_SeqDense(A, xx, yy, c_start, c_end, PETSC_TRUE, PETSC_TRUE)); 1094 PetscFunctionReturn(PETSC_SUCCESS); 1095 } 1096 1097 PetscErrorCode MatMult_SeqDense(Mat A, Vec xx, Vec yy) 1098 { 1099 PetscFunctionBegin; 1100 PetscCall(MatMultColumnRangeKernel_SeqDense(A, xx, yy, 0, A->cmap->n, PETSC_FALSE, PETSC_FALSE)); 1101 PetscFunctionReturn(PETSC_SUCCESS); 1102 } 1103 1104 PetscErrorCode MatMultTranspose_SeqDense(Mat A, Vec xx, Vec yy) 1105 { 1106 PetscFunctionBegin; 1107 PetscCall(MatMultColumnRangeKernel_SeqDense(A, xx, yy, 0, A->cmap->n, PETSC_TRUE, PETSC_FALSE)); 1108 PetscFunctionReturn(PETSC_SUCCESS); 1109 } 1110 1111 PetscErrorCode MatMultHermitianTranspose_SeqDense(Mat A, Vec xx, Vec yy) 1112 { 1113 PetscFunctionBegin; 1114 PetscCall(MatMultColumnRangeKernel_SeqDense(A, xx, yy, 0, A->cmap->n, PETSC_TRUE, PETSC_TRUE)); 1115 PetscFunctionReturn(PETSC_SUCCESS); 1116 } 1117 1118 static PetscErrorCode MatMultAddColumnRangeKernel_SeqDense(Mat A, Vec xx, Vec zz, Vec yy, PetscInt c_start, PetscInt c_end, PetscBool trans, PetscBool herm) 1119 { 1120 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1121 const PetscScalar *v = mat->v, *x; 1122 PetscScalar *y, _DOne = 1.0; 1123 PetscBLASInt m, n, _One = 1; 1124 1125 PetscFunctionBegin; 1126 PetscCall(PetscBLASIntCast(A->rmap->n, &m)); 1127 PetscCall(PetscBLASIntCast(c_end - c_start, &n)); 1128 PetscCall(VecCopy(zz, yy)); 1129 if (!m || !n) PetscFunctionReturn(PETSC_SUCCESS); 1130 PetscCall(VecGetArray(yy, &y)); 1131 PetscCall(VecGetArrayRead(xx, &x)); 1132 if (trans) { 1133 if (herm) PetscCallBLAS("BLASgemv", BLASgemv_("C", &m, &n, &_DOne, v + c_start * mat->lda, &mat->lda, x, &_One, &_DOne, y + c_start, &_One)); 1134 else PetscCallBLAS("BLASgemv", BLASgemv_("T", &m, &n, &_DOne, v + c_start * mat->lda, &mat->lda, x, &_One, &_DOne, y + c_start, &_One)); 1135 } else { 1136 PetscCallBLAS("BLASgemv", BLASgemv_("N", &m, &n, &_DOne, v + c_start * mat->lda, &mat->lda, x + c_start, &_One, &_DOne, y, &_One)); 1137 } 1138 PetscCall(VecRestoreArrayRead(xx, &x)); 1139 PetscCall(VecRestoreArray(yy, &y)); 1140 PetscCall(PetscLogFlops(2.0 * m * n)); 1141 PetscFunctionReturn(PETSC_SUCCESS); 1142 } 1143 1144 PetscErrorCode MatMultAddColumnRange_SeqDense(Mat A, Vec xx, Vec zz, Vec yy, PetscInt c_start, PetscInt c_end) 1145 { 1146 PetscFunctionBegin; 1147 PetscCall(MatMultAddColumnRangeKernel_SeqDense(A, xx, zz, yy, c_start, c_end, PETSC_FALSE, PETSC_FALSE)); 1148 PetscFunctionReturn(PETSC_SUCCESS); 1149 } 1150 1151 PetscErrorCode MatMultHermitianTransposeAddColumnRange_SeqDense(Mat A, Vec xx, Vec zz, Vec yy, PetscInt c_start, PetscInt c_end) 1152 { 1153 PetscFunctionBegin; 1154 PetscMPIInt rank; 1155 PetscCallMPI(MPI_Comm_rank(MPI_COMM_WORLD, &rank)); 1156 PetscCall(MatMultAddColumnRangeKernel_SeqDense(A, xx, zz, yy, c_start, c_end, PETSC_TRUE, PETSC_TRUE)); 1157 PetscFunctionReturn(PETSC_SUCCESS); 1158 } 1159 1160 PetscErrorCode MatMultAdd_SeqDense(Mat A, Vec xx, Vec zz, Vec yy) 1161 { 1162 PetscFunctionBegin; 1163 PetscCall(MatMultAddColumnRangeKernel_SeqDense(A, xx, zz, yy, 0, A->cmap->n, PETSC_FALSE, PETSC_FALSE)); 1164 PetscFunctionReturn(PETSC_SUCCESS); 1165 } 1166 1167 PetscErrorCode MatMultTransposeAdd_SeqDense(Mat A, Vec xx, Vec zz, Vec yy) 1168 { 1169 PetscFunctionBegin; 1170 PetscCall(MatMultAddColumnRangeKernel_SeqDense(A, xx, zz, yy, 0, A->cmap->n, PETSC_TRUE, PETSC_FALSE)); 1171 PetscFunctionReturn(PETSC_SUCCESS); 1172 } 1173 1174 PetscErrorCode MatMultHermitianTransposeAdd_SeqDense(Mat A, Vec xx, Vec zz, Vec yy) 1175 { 1176 PetscFunctionBegin; 1177 PetscCall(MatMultAddColumnRangeKernel_SeqDense(A, xx, zz, yy, 0, A->cmap->n, PETSC_TRUE, PETSC_TRUE)); 1178 PetscFunctionReturn(PETSC_SUCCESS); 1179 } 1180 1181 static PetscErrorCode MatGetRow_SeqDense(Mat A, PetscInt row, PetscInt *ncols, PetscInt **cols, PetscScalar **vals) 1182 { 1183 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1184 PetscInt i; 1185 1186 PetscFunctionBegin; 1187 if (ncols) *ncols = A->cmap->n; 1188 if (cols) { 1189 PetscCall(PetscMalloc1(A->cmap->n, cols)); 1190 for (i = 0; i < A->cmap->n; i++) (*cols)[i] = i; 1191 } 1192 if (vals) { 1193 const PetscScalar *v; 1194 1195 PetscCall(MatDenseGetArrayRead(A, &v)); 1196 PetscCall(PetscMalloc1(A->cmap->n, vals)); 1197 v += row; 1198 for (i = 0; i < A->cmap->n; i++) { 1199 (*vals)[i] = *v; 1200 v += mat->lda; 1201 } 1202 PetscCall(MatDenseRestoreArrayRead(A, &v)); 1203 } 1204 PetscFunctionReturn(PETSC_SUCCESS); 1205 } 1206 1207 static PetscErrorCode MatRestoreRow_SeqDense(Mat A, PetscInt row, PetscInt *ncols, PetscInt **cols, PetscScalar **vals) 1208 { 1209 PetscFunctionBegin; 1210 if (cols) PetscCall(PetscFree(*cols)); 1211 if (vals) PetscCall(PetscFree(*vals)); 1212 PetscFunctionReturn(PETSC_SUCCESS); 1213 } 1214 1215 static PetscErrorCode MatSetValues_SeqDense(Mat A, PetscInt m, const PetscInt indexm[], PetscInt n, const PetscInt indexn[], const PetscScalar v[], InsertMode addv) 1216 { 1217 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1218 PetscScalar *av; 1219 PetscInt i, j, idx = 0; 1220 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1221 PetscOffloadMask oldf; 1222 #endif 1223 1224 PetscFunctionBegin; 1225 PetscCall(MatDenseGetArray(A, &av)); 1226 if (!mat->roworiented) { 1227 if (addv == INSERT_VALUES) { 1228 for (j = 0; j < n; j++) { 1229 if (indexn[j] < 0) { 1230 idx += m; 1231 continue; 1232 } 1233 PetscCheck(indexn[j] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, indexn[j], A->cmap->n - 1); 1234 for (i = 0; i < m; i++) { 1235 if (indexm[i] < 0) { 1236 idx++; 1237 continue; 1238 } 1239 PetscCheck(indexm[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, indexm[i], A->rmap->n - 1); 1240 av[indexn[j] * mat->lda + indexm[i]] = v ? v[idx++] : (idx++, 0.0); 1241 } 1242 } 1243 } else { 1244 for (j = 0; j < n; j++) { 1245 if (indexn[j] < 0) { 1246 idx += m; 1247 continue; 1248 } 1249 PetscCheck(indexn[j] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, indexn[j], A->cmap->n - 1); 1250 for (i = 0; i < m; i++) { 1251 if (indexm[i] < 0) { 1252 idx++; 1253 continue; 1254 } 1255 PetscCheck(indexm[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, indexm[i], A->rmap->n - 1); 1256 av[indexn[j] * mat->lda + indexm[i]] += v ? v[idx++] : (idx++, 0.0); 1257 } 1258 } 1259 } 1260 } else { 1261 if (addv == INSERT_VALUES) { 1262 for (i = 0; i < m; i++) { 1263 if (indexm[i] < 0) { 1264 idx += n; 1265 continue; 1266 } 1267 PetscCheck(indexm[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, indexm[i], A->rmap->n - 1); 1268 for (j = 0; j < n; j++) { 1269 if (indexn[j] < 0) { 1270 idx++; 1271 continue; 1272 } 1273 PetscCheck(indexn[j] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, indexn[j], A->cmap->n - 1); 1274 av[indexn[j] * mat->lda + indexm[i]] = v ? v[idx++] : (idx++, 0.0); 1275 } 1276 } 1277 } else { 1278 for (i = 0; i < m; i++) { 1279 if (indexm[i] < 0) { 1280 idx += n; 1281 continue; 1282 } 1283 PetscCheck(indexm[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, indexm[i], A->rmap->n - 1); 1284 for (j = 0; j < n; j++) { 1285 if (indexn[j] < 0) { 1286 idx++; 1287 continue; 1288 } 1289 PetscCheck(indexn[j] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, indexn[j], A->cmap->n - 1); 1290 av[indexn[j] * mat->lda + indexm[i]] += v ? v[idx++] : (idx++, 0.0); 1291 } 1292 } 1293 } 1294 } 1295 /* hack to prevent unneeded copy to the GPU while returning the array */ 1296 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1297 oldf = A->offloadmask; 1298 A->offloadmask = PETSC_OFFLOAD_GPU; 1299 #endif 1300 PetscCall(MatDenseRestoreArray(A, &av)); 1301 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1302 A->offloadmask = (oldf == PETSC_OFFLOAD_UNALLOCATED ? PETSC_OFFLOAD_UNALLOCATED : PETSC_OFFLOAD_CPU); 1303 #endif 1304 PetscFunctionReturn(PETSC_SUCCESS); 1305 } 1306 1307 static PetscErrorCode MatGetValues_SeqDense(Mat A, PetscInt m, const PetscInt indexm[], PetscInt n, const PetscInt indexn[], PetscScalar v[]) 1308 { 1309 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1310 const PetscScalar *vv; 1311 PetscInt i, j; 1312 1313 PetscFunctionBegin; 1314 PetscCall(MatDenseGetArrayRead(A, &vv)); 1315 /* row-oriented output */ 1316 for (i = 0; i < m; i++) { 1317 if (indexm[i] < 0) { 1318 v += n; 1319 continue; 1320 } 1321 PetscCheck(indexm[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row %" PetscInt_FMT " requested larger than number rows %" PetscInt_FMT, indexm[i], A->rmap->n); 1322 for (j = 0; j < n; j++) { 1323 if (indexn[j] < 0) { 1324 v++; 1325 continue; 1326 } 1327 PetscCheck(indexn[j] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column %" PetscInt_FMT " requested larger than number columns %" PetscInt_FMT, indexn[j], A->cmap->n); 1328 *v++ = vv[indexn[j] * mat->lda + indexm[i]]; 1329 } 1330 } 1331 PetscCall(MatDenseRestoreArrayRead(A, &vv)); 1332 PetscFunctionReturn(PETSC_SUCCESS); 1333 } 1334 1335 PetscErrorCode MatView_Dense_Binary(Mat mat, PetscViewer viewer) 1336 { 1337 PetscBool skipHeader; 1338 PetscViewerFormat format; 1339 PetscInt header[4], M, N, m, lda, i, j; 1340 PetscCount k; 1341 const PetscScalar *v; 1342 PetscScalar *vwork; 1343 1344 PetscFunctionBegin; 1345 PetscCall(PetscViewerSetUp(viewer)); 1346 PetscCall(PetscViewerBinaryGetSkipHeader(viewer, &skipHeader)); 1347 PetscCall(PetscViewerGetFormat(viewer, &format)); 1348 if (skipHeader) format = PETSC_VIEWER_NATIVE; 1349 1350 PetscCall(MatGetSize(mat, &M, &N)); 1351 1352 /* write matrix header */ 1353 header[0] = MAT_FILE_CLASSID; 1354 header[1] = M; 1355 header[2] = N; 1356 header[3] = (format == PETSC_VIEWER_NATIVE) ? MATRIX_BINARY_FORMAT_DENSE : M * N; 1357 if (!skipHeader) PetscCall(PetscViewerBinaryWrite(viewer, header, 4, PETSC_INT)); 1358 1359 PetscCall(MatGetLocalSize(mat, &m, NULL)); 1360 if (format != PETSC_VIEWER_NATIVE) { 1361 PetscInt nnz = m * N, *iwork; 1362 /* store row lengths for each row */ 1363 PetscCall(PetscMalloc1(nnz, &iwork)); 1364 for (i = 0; i < m; i++) iwork[i] = N; 1365 PetscCall(PetscViewerBinaryWriteAll(viewer, iwork, m, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_INT)); 1366 /* store column indices (zero start index) */ 1367 for (k = 0, i = 0; i < m; i++) 1368 for (j = 0; j < N; j++, k++) iwork[k] = j; 1369 PetscCall(PetscViewerBinaryWriteAll(viewer, iwork, nnz, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_INT)); 1370 PetscCall(PetscFree(iwork)); 1371 } 1372 /* store matrix values as a dense matrix in row major order */ 1373 PetscCall(PetscMalloc1(m * N, &vwork)); 1374 PetscCall(MatDenseGetArrayRead(mat, &v)); 1375 PetscCall(MatDenseGetLDA(mat, &lda)); 1376 for (k = 0, i = 0; i < m; i++) 1377 for (j = 0; j < N; j++, k++) vwork[k] = v[i + (size_t)lda * j]; 1378 PetscCall(MatDenseRestoreArrayRead(mat, &v)); 1379 PetscCall(PetscViewerBinaryWriteAll(viewer, vwork, m * N, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_SCALAR)); 1380 PetscCall(PetscFree(vwork)); 1381 PetscFunctionReturn(PETSC_SUCCESS); 1382 } 1383 1384 PetscErrorCode MatLoad_Dense_Binary(Mat mat, PetscViewer viewer) 1385 { 1386 PetscBool skipHeader; 1387 PetscInt header[4], M, N, m, nz, lda, i, j, k; 1388 PetscInt rows, cols; 1389 PetscScalar *v, *vwork; 1390 1391 PetscFunctionBegin; 1392 PetscCall(PetscViewerSetUp(viewer)); 1393 PetscCall(PetscViewerBinaryGetSkipHeader(viewer, &skipHeader)); 1394 1395 if (!skipHeader) { 1396 PetscCall(PetscViewerBinaryRead(viewer, header, 4, NULL, PETSC_INT)); 1397 PetscCheck(header[0] == MAT_FILE_CLASSID, PetscObjectComm((PetscObject)viewer), PETSC_ERR_FILE_UNEXPECTED, "Not a matrix object in file"); 1398 M = header[1]; 1399 N = header[2]; 1400 PetscCheck(M >= 0, PetscObjectComm((PetscObject)viewer), PETSC_ERR_FILE_UNEXPECTED, "Matrix row size (%" PetscInt_FMT ") in file is negative", M); 1401 PetscCheck(N >= 0, PetscObjectComm((PetscObject)viewer), PETSC_ERR_FILE_UNEXPECTED, "Matrix column size (%" PetscInt_FMT ") in file is negative", N); 1402 nz = header[3]; 1403 PetscCheck(nz == MATRIX_BINARY_FORMAT_DENSE || nz >= 0, PetscObjectComm((PetscObject)viewer), PETSC_ERR_FILE_UNEXPECTED, "Unknown matrix format %" PetscInt_FMT " in file", nz); 1404 } else { 1405 PetscCall(MatGetSize(mat, &M, &N)); 1406 PetscCheck(M >= 0 && N >= 0, PETSC_COMM_SELF, PETSC_ERR_USER, "Matrix binary file header was skipped, thus the user must specify the global sizes of input matrix"); 1407 nz = MATRIX_BINARY_FORMAT_DENSE; 1408 } 1409 1410 /* setup global sizes if not set */ 1411 if (mat->rmap->N < 0) mat->rmap->N = M; 1412 if (mat->cmap->N < 0) mat->cmap->N = N; 1413 PetscCall(MatSetUp(mat)); 1414 /* check if global sizes are correct */ 1415 PetscCall(MatGetSize(mat, &rows, &cols)); 1416 PetscCheck(M == rows && N == cols, PetscObjectComm((PetscObject)viewer), PETSC_ERR_FILE_UNEXPECTED, "Matrix in file of different sizes (%" PetscInt_FMT ", %" PetscInt_FMT ") than the input matrix (%" PetscInt_FMT ", %" PetscInt_FMT ")", M, N, rows, cols); 1417 1418 PetscCall(MatGetSize(mat, NULL, &N)); 1419 PetscCall(MatGetLocalSize(mat, &m, NULL)); 1420 PetscCall(MatDenseGetArray(mat, &v)); 1421 PetscCall(MatDenseGetLDA(mat, &lda)); 1422 if (nz == MATRIX_BINARY_FORMAT_DENSE) { /* matrix in file is dense format */ 1423 PetscCount nnz = (size_t)m * N; 1424 /* read in matrix values */ 1425 PetscCall(PetscMalloc1(nnz, &vwork)); 1426 PetscCall(PetscViewerBinaryReadAll(viewer, vwork, nnz, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_SCALAR)); 1427 /* store values in column major order */ 1428 for (j = 0; j < N; j++) 1429 for (i = 0; i < m; i++) v[i + (size_t)lda * j] = vwork[(size_t)i * N + j]; 1430 PetscCall(PetscFree(vwork)); 1431 } else { /* matrix in file is sparse format */ 1432 PetscInt nnz = 0, *rlens, *icols; 1433 /* read in row lengths */ 1434 PetscCall(PetscMalloc1(m, &rlens)); 1435 PetscCall(PetscViewerBinaryReadAll(viewer, rlens, m, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_INT)); 1436 for (i = 0; i < m; i++) nnz += rlens[i]; 1437 /* read in column indices and values */ 1438 PetscCall(PetscMalloc2(nnz, &icols, nnz, &vwork)); 1439 PetscCall(PetscViewerBinaryReadAll(viewer, icols, nnz, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_INT)); 1440 PetscCall(PetscViewerBinaryReadAll(viewer, vwork, nnz, PETSC_DETERMINE, PETSC_DETERMINE, PETSC_SCALAR)); 1441 /* store values in column major order */ 1442 for (k = 0, i = 0; i < m; i++) 1443 for (j = 0; j < rlens[i]; j++, k++) v[i + lda * icols[k]] = vwork[k]; 1444 PetscCall(PetscFree(rlens)); 1445 PetscCall(PetscFree2(icols, vwork)); 1446 } 1447 PetscCall(MatDenseRestoreArray(mat, &v)); 1448 PetscCall(MatAssemblyBegin(mat, MAT_FINAL_ASSEMBLY)); 1449 PetscCall(MatAssemblyEnd(mat, MAT_FINAL_ASSEMBLY)); 1450 PetscFunctionReturn(PETSC_SUCCESS); 1451 } 1452 1453 static PetscErrorCode MatLoad_SeqDense(Mat newMat, PetscViewer viewer) 1454 { 1455 PetscBool isbinary, ishdf5; 1456 1457 PetscFunctionBegin; 1458 PetscValidHeaderSpecific(newMat, MAT_CLASSID, 1); 1459 PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2); 1460 /* force binary viewer to load .info file if it has not yet done so */ 1461 PetscCall(PetscViewerSetUp(viewer)); 1462 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 1463 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERHDF5, &ishdf5)); 1464 if (isbinary) { 1465 PetscCall(MatLoad_Dense_Binary(newMat, viewer)); 1466 } else if (ishdf5) { 1467 #if defined(PETSC_HAVE_HDF5) 1468 PetscCall(MatLoad_Dense_HDF5(newMat, viewer)); 1469 #else 1470 SETERRQ(PetscObjectComm((PetscObject)newMat), PETSC_ERR_SUP, "HDF5 not supported in this build.\nPlease reconfigure using --download-hdf5"); 1471 #endif 1472 } else { 1473 SETERRQ(PetscObjectComm((PetscObject)newMat), PETSC_ERR_SUP, "Viewer type %s not yet supported for reading %s matrices", ((PetscObject)viewer)->type_name, ((PetscObject)newMat)->type_name); 1474 } 1475 PetscFunctionReturn(PETSC_SUCCESS); 1476 } 1477 1478 static PetscErrorCode MatView_SeqDense_ASCII(Mat A, PetscViewer viewer) 1479 { 1480 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 1481 PetscInt i, j; 1482 const char *name; 1483 PetscScalar *v, *av; 1484 PetscViewerFormat format; 1485 #if defined(PETSC_USE_COMPLEX) 1486 PetscBool allreal = PETSC_TRUE; 1487 #endif 1488 1489 PetscFunctionBegin; 1490 PetscCall(MatDenseGetArrayRead(A, (const PetscScalar **)&av)); 1491 PetscCall(PetscViewerGetFormat(viewer, &format)); 1492 if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 1493 PetscFunctionReturn(PETSC_SUCCESS); /* do nothing for now */ 1494 } else if (format == PETSC_VIEWER_ASCII_COMMON) { 1495 PetscCall(PetscViewerASCIIUseTabs(viewer, PETSC_FALSE)); 1496 for (i = 0; i < A->rmap->n; i++) { 1497 v = av + i; 1498 PetscCall(PetscViewerASCIIPrintf(viewer, "row %" PetscInt_FMT ":", i)); 1499 for (j = 0; j < A->cmap->n; j++) { 1500 #if defined(PETSC_USE_COMPLEX) 1501 if (PetscRealPart(*v) != 0.0 && PetscImaginaryPart(*v) != 0.0) { 1502 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g + %g i) ", j, (double)PetscRealPart(*v), (double)PetscImaginaryPart(*v))); 1503 } else if (PetscRealPart(*v)) { 1504 PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", j, (double)PetscRealPart(*v))); 1505 } 1506 #else 1507 if (*v) PetscCall(PetscViewerASCIIPrintf(viewer, " (%" PetscInt_FMT ", %g) ", j, (double)*v)); 1508 #endif 1509 v += a->lda; 1510 } 1511 PetscCall(PetscViewerASCIIPrintf(viewer, "\n")); 1512 } 1513 PetscCall(PetscViewerASCIIUseTabs(viewer, PETSC_TRUE)); 1514 } else { 1515 PetscCall(PetscViewerASCIIUseTabs(viewer, PETSC_FALSE)); 1516 #if defined(PETSC_USE_COMPLEX) 1517 /* determine if matrix has all real values */ 1518 for (j = 0; j < A->cmap->n; j++) { 1519 v = av + j * a->lda; 1520 for (i = 0; i < A->rmap->n; i++) { 1521 if (PetscImaginaryPart(v[i])) { 1522 allreal = PETSC_FALSE; 1523 break; 1524 } 1525 } 1526 } 1527 #endif 1528 if (format == PETSC_VIEWER_ASCII_MATLAB) { 1529 PetscCall(PetscObjectGetName((PetscObject)A, &name)); 1530 PetscCall(PetscViewerASCIIPrintf(viewer, "%% Size = %" PetscInt_FMT " %" PetscInt_FMT " \n", A->rmap->n, A->cmap->n)); 1531 PetscCall(PetscViewerASCIIPrintf(viewer, "%s = zeros(%" PetscInt_FMT ",%" PetscInt_FMT ");\n", name, A->rmap->n, A->cmap->n)); 1532 PetscCall(PetscViewerASCIIPrintf(viewer, "%s = [\n", name)); 1533 } 1534 1535 for (i = 0; i < A->rmap->n; i++) { 1536 v = av + i; 1537 for (j = 0; j < A->cmap->n; j++) { 1538 #if defined(PETSC_USE_COMPLEX) 1539 if (allreal) { 1540 PetscCall(PetscViewerASCIIPrintf(viewer, "%18.16e ", (double)PetscRealPart(*v))); 1541 } else { 1542 PetscCall(PetscViewerASCIIPrintf(viewer, "%18.16e + %18.16ei ", (double)PetscRealPart(*v), (double)PetscImaginaryPart(*v))); 1543 } 1544 #else 1545 PetscCall(PetscViewerASCIIPrintf(viewer, "%18.16e ", (double)*v)); 1546 #endif 1547 v += a->lda; 1548 } 1549 PetscCall(PetscViewerASCIIPrintf(viewer, "\n")); 1550 } 1551 if (format == PETSC_VIEWER_ASCII_MATLAB) PetscCall(PetscViewerASCIIPrintf(viewer, "];\n")); 1552 PetscCall(PetscViewerASCIIUseTabs(viewer, PETSC_TRUE)); 1553 } 1554 PetscCall(MatDenseRestoreArrayRead(A, (const PetscScalar **)&av)); 1555 PetscCall(PetscViewerFlush(viewer)); 1556 PetscFunctionReturn(PETSC_SUCCESS); 1557 } 1558 1559 #include <petscdraw.h> 1560 static PetscErrorCode MatView_SeqDense_Draw_Zoom(PetscDraw draw, void *Aa) 1561 { 1562 Mat A = (Mat)Aa; 1563 PetscInt m = A->rmap->n, n = A->cmap->n, i, j; 1564 int color = PETSC_DRAW_WHITE; 1565 const PetscScalar *v; 1566 PetscViewer viewer; 1567 PetscReal xl, yl, xr, yr, x_l, x_r, y_l, y_r; 1568 PetscViewerFormat format; 1569 1570 PetscFunctionBegin; 1571 PetscCall(PetscObjectQuery((PetscObject)A, "Zoomviewer", (PetscObject *)&viewer)); 1572 PetscCall(PetscViewerGetFormat(viewer, &format)); 1573 PetscCall(PetscDrawGetCoordinates(draw, &xl, &yl, &xr, &yr)); 1574 1575 /* Loop over matrix elements drawing boxes */ 1576 PetscCall(MatDenseGetArrayRead(A, &v)); 1577 if (format != PETSC_VIEWER_DRAW_CONTOUR) { 1578 PetscDrawCollectiveBegin(draw); 1579 /* Blue for negative and Red for positive */ 1580 for (j = 0; j < n; j++) { 1581 x_l = j; 1582 x_r = x_l + 1.0; 1583 for (i = 0; i < m; i++) { 1584 y_l = m - i - 1.0; 1585 y_r = y_l + 1.0; 1586 if (PetscRealPart(v[j * m + i]) > 0.) color = PETSC_DRAW_RED; 1587 else if (PetscRealPart(v[j * m + i]) < 0.) color = PETSC_DRAW_BLUE; 1588 else continue; 1589 PetscCall(PetscDrawRectangle(draw, x_l, y_l, x_r, y_r, color, color, color, color)); 1590 } 1591 } 1592 PetscDrawCollectiveEnd(draw); 1593 } else { 1594 /* use contour shading to indicate magnitude of values */ 1595 /* first determine max of all nonzero values */ 1596 PetscReal minv = 0.0, maxv = 0.0; 1597 PetscDraw popup; 1598 1599 for (i = 0; i < m * n; i++) { 1600 if (PetscAbsScalar(v[i]) > maxv) maxv = PetscAbsScalar(v[i]); 1601 } 1602 if (minv >= maxv) maxv = minv + PETSC_SMALL; 1603 PetscCall(PetscDrawGetPopup(draw, &popup)); 1604 PetscCall(PetscDrawScalePopup(popup, minv, maxv)); 1605 1606 PetscDrawCollectiveBegin(draw); 1607 for (j = 0; j < n; j++) { 1608 x_l = j; 1609 x_r = x_l + 1.0; 1610 for (i = 0; i < m; i++) { 1611 y_l = m - i - 1.0; 1612 y_r = y_l + 1.0; 1613 color = PetscDrawRealToColor(PetscAbsScalar(v[j * m + i]), minv, maxv); 1614 PetscCall(PetscDrawRectangle(draw, x_l, y_l, x_r, y_r, color, color, color, color)); 1615 } 1616 } 1617 PetscDrawCollectiveEnd(draw); 1618 } 1619 PetscCall(MatDenseRestoreArrayRead(A, &v)); 1620 PetscFunctionReturn(PETSC_SUCCESS); 1621 } 1622 1623 static PetscErrorCode MatView_SeqDense_Draw(Mat A, PetscViewer viewer) 1624 { 1625 PetscDraw draw; 1626 PetscBool isnull; 1627 PetscReal xr, yr, xl, yl, h, w; 1628 1629 PetscFunctionBegin; 1630 PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw)); 1631 PetscCall(PetscDrawIsNull(draw, &isnull)); 1632 if (isnull) PetscFunctionReturn(PETSC_SUCCESS); 1633 1634 xr = A->cmap->n; 1635 yr = A->rmap->n; 1636 h = yr / 10.0; 1637 w = xr / 10.0; 1638 xr += w; 1639 yr += h; 1640 xl = -w; 1641 yl = -h; 1642 PetscCall(PetscDrawSetCoordinates(draw, xl, yl, xr, yr)); 1643 PetscCall(PetscObjectCompose((PetscObject)A, "Zoomviewer", (PetscObject)viewer)); 1644 PetscCall(PetscDrawZoom(draw, MatView_SeqDense_Draw_Zoom, A)); 1645 PetscCall(PetscObjectCompose((PetscObject)A, "Zoomviewer", NULL)); 1646 PetscCall(PetscDrawSave(draw)); 1647 PetscFunctionReturn(PETSC_SUCCESS); 1648 } 1649 1650 PetscErrorCode MatView_SeqDense(Mat A, PetscViewer viewer) 1651 { 1652 PetscBool iascii, isbinary, isdraw; 1653 1654 PetscFunctionBegin; 1655 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 1656 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary)); 1657 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 1658 if (iascii) PetscCall(MatView_SeqDense_ASCII(A, viewer)); 1659 else if (isbinary) PetscCall(MatView_Dense_Binary(A, viewer)); 1660 else if (isdraw) PetscCall(MatView_SeqDense_Draw(A, viewer)); 1661 PetscFunctionReturn(PETSC_SUCCESS); 1662 } 1663 1664 static PetscErrorCode MatDensePlaceArray_SeqDense(Mat A, const PetscScalar *array) 1665 { 1666 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 1667 1668 PetscFunctionBegin; 1669 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1670 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1671 PetscCheck(!a->unplacedarray, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseResetArray() first"); 1672 a->unplacedarray = a->v; 1673 a->unplaced_user_alloc = a->user_alloc; 1674 a->v = (PetscScalar *)array; 1675 a->user_alloc = PETSC_TRUE; 1676 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1677 A->offloadmask = PETSC_OFFLOAD_CPU; 1678 #endif 1679 PetscFunctionReturn(PETSC_SUCCESS); 1680 } 1681 1682 static PetscErrorCode MatDenseResetArray_SeqDense(Mat A) 1683 { 1684 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 1685 1686 PetscFunctionBegin; 1687 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1688 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1689 a->v = a->unplacedarray; 1690 a->user_alloc = a->unplaced_user_alloc; 1691 a->unplacedarray = NULL; 1692 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1693 A->offloadmask = PETSC_OFFLOAD_CPU; 1694 #endif 1695 PetscFunctionReturn(PETSC_SUCCESS); 1696 } 1697 1698 static PetscErrorCode MatDenseReplaceArray_SeqDense(Mat A, const PetscScalar *array) 1699 { 1700 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 1701 1702 PetscFunctionBegin; 1703 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1704 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1705 if (!a->user_alloc) PetscCall(PetscFree(a->v)); 1706 a->v = (PetscScalar *)array; 1707 a->user_alloc = PETSC_FALSE; 1708 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 1709 A->offloadmask = PETSC_OFFLOAD_CPU; 1710 #endif 1711 PetscFunctionReturn(PETSC_SUCCESS); 1712 } 1713 1714 PetscErrorCode MatDestroy_SeqDense(Mat mat) 1715 { 1716 Mat_SeqDense *l = (Mat_SeqDense *)mat->data; 1717 1718 PetscFunctionBegin; 1719 PetscCall(PetscLogObjectState((PetscObject)mat, "Rows %" PetscInt_FMT " Cols %" PetscInt_FMT, mat->rmap->n, mat->cmap->n)); 1720 PetscCall(VecDestroy(&l->qrrhs)); 1721 PetscCall(PetscFree(l->tau)); 1722 PetscCall(PetscFree(l->pivots)); 1723 PetscCall(PetscFree(l->fwork)); 1724 if (!l->user_alloc) PetscCall(PetscFree(l->v)); 1725 if (!l->unplaced_user_alloc) PetscCall(PetscFree(l->unplacedarray)); 1726 PetscCheck(!l->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 1727 PetscCheck(!l->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 1728 PetscCall(VecDestroy(&l->cvec)); 1729 PetscCall(MatDestroy(&l->cmat)); 1730 PetscCall(PetscFree(mat->data)); 1731 1732 PetscCall(PetscObjectChangeTypeName((PetscObject)mat, NULL)); 1733 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatQRFactor_C", NULL)); 1734 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatQRFactorSymbolic_C", NULL)); 1735 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatQRFactorNumeric_C", NULL)); 1736 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetLDA_C", NULL)); 1737 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseSetLDA_C", NULL)); 1738 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArray_C", NULL)); 1739 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArray_C", NULL)); 1740 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDensePlaceArray_C", NULL)); 1741 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseResetArray_C", NULL)); 1742 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseReplaceArray_C", NULL)); 1743 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayRead_C", NULL)); 1744 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayRead_C", NULL)); 1745 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetArrayWrite_C", NULL)); 1746 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreArrayWrite_C", NULL)); 1747 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_seqdense_seqaij_C", NULL)); 1748 #if defined(PETSC_HAVE_ELEMENTAL) 1749 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_seqdense_elemental_C", NULL)); 1750 #endif 1751 #if defined(PETSC_HAVE_SCALAPACK) 1752 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_seqdense_scalapack_C", NULL)); 1753 #endif 1754 #if defined(PETSC_HAVE_CUDA) 1755 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_seqdense_seqdensecuda_C", NULL)); 1756 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdensecuda_seqdensecuda_C", NULL)); 1757 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdensecuda_seqdense_C", NULL)); 1758 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdense_seqdensecuda_C", NULL)); 1759 #endif 1760 #if defined(PETSC_HAVE_HIP) 1761 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_seqdense_seqdensehip_C", NULL)); 1762 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdensehip_seqdensehip_C", NULL)); 1763 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdensehip_seqdense_C", NULL)); 1764 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdense_seqdensehip_C", NULL)); 1765 #endif 1766 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatSeqDenseSetPreallocation_C", NULL)); 1767 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqaij_seqdense_C", NULL)); 1768 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqdense_seqdense_C", NULL)); 1769 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqbaij_seqdense_C", NULL)); 1770 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatProductSetFromOptions_seqsbaij_seqdense_C", NULL)); 1771 1772 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumn_C", NULL)); 1773 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumn_C", NULL)); 1774 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVec_C", NULL)); 1775 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVec_C", NULL)); 1776 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecRead_C", NULL)); 1777 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecRead_C", NULL)); 1778 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetColumnVecWrite_C", NULL)); 1779 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreColumnVecWrite_C", NULL)); 1780 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseGetSubMatrix_C", NULL)); 1781 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatDenseRestoreSubMatrix_C", NULL)); 1782 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultAddColumnRange_C", NULL)); 1783 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeColumnRange_C", NULL)); 1784 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMultHermitianTransposeAddColumnRange_C", NULL)); 1785 PetscFunctionReturn(PETSC_SUCCESS); 1786 } 1787 1788 static PetscErrorCode MatTranspose_SeqDense(Mat A, MatReuse reuse, Mat *matout) 1789 { 1790 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1791 PetscInt k, j, m = A->rmap->n, M = mat->lda, n = A->cmap->n; 1792 PetscScalar *v, tmp; 1793 1794 PetscFunctionBegin; 1795 if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *matout)); 1796 if (reuse == MAT_INPLACE_MATRIX) { 1797 if (m == n) { /* in place transpose */ 1798 PetscCall(MatDenseGetArray(A, &v)); 1799 for (j = 0; j < m; j++) { 1800 for (k = 0; k < j; k++) { 1801 tmp = v[j + k * M]; 1802 v[j + k * M] = v[k + j * M]; 1803 v[k + j * M] = tmp; 1804 } 1805 } 1806 PetscCall(MatDenseRestoreArray(A, &v)); 1807 } else { /* reuse memory, temporary allocates new memory */ 1808 PetscScalar *v2; 1809 PetscLayout tmplayout; 1810 1811 PetscCall(PetscMalloc1((size_t)m * n, &v2)); 1812 PetscCall(MatDenseGetArray(A, &v)); 1813 for (j = 0; j < n; j++) { 1814 for (k = 0; k < m; k++) v2[j + (size_t)k * n] = v[k + (size_t)j * M]; 1815 } 1816 PetscCall(PetscArraycpy(v, v2, (size_t)m * n)); 1817 PetscCall(PetscFree(v2)); 1818 PetscCall(MatDenseRestoreArray(A, &v)); 1819 /* cleanup size dependent quantities */ 1820 PetscCall(VecDestroy(&mat->cvec)); 1821 PetscCall(MatDestroy(&mat->cmat)); 1822 PetscCall(PetscFree(mat->pivots)); 1823 PetscCall(PetscFree(mat->fwork)); 1824 /* swap row/col layouts */ 1825 PetscCall(PetscBLASIntCast(n, &mat->lda)); 1826 tmplayout = A->rmap; 1827 A->rmap = A->cmap; 1828 A->cmap = tmplayout; 1829 } 1830 } else { /* out-of-place transpose */ 1831 Mat tmat; 1832 Mat_SeqDense *tmatd; 1833 PetscScalar *v2; 1834 PetscInt M2; 1835 1836 if (reuse == MAT_INITIAL_MATRIX) { 1837 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &tmat)); 1838 PetscCall(MatSetSizes(tmat, A->cmap->n, A->rmap->n, A->cmap->n, A->rmap->n)); 1839 PetscCall(MatSetType(tmat, ((PetscObject)A)->type_name)); 1840 PetscCall(MatSeqDenseSetPreallocation(tmat, NULL)); 1841 } else tmat = *matout; 1842 1843 PetscCall(MatDenseGetArrayRead(A, (const PetscScalar **)&v)); 1844 PetscCall(MatDenseGetArray(tmat, &v2)); 1845 tmatd = (Mat_SeqDense *)tmat->data; 1846 M2 = tmatd->lda; 1847 for (j = 0; j < n; j++) { 1848 for (k = 0; k < m; k++) v2[j + k * M2] = v[k + j * M]; 1849 } 1850 PetscCall(MatDenseRestoreArray(tmat, &v2)); 1851 PetscCall(MatDenseRestoreArrayRead(A, (const PetscScalar **)&v)); 1852 PetscCall(MatAssemblyBegin(tmat, MAT_FINAL_ASSEMBLY)); 1853 PetscCall(MatAssemblyEnd(tmat, MAT_FINAL_ASSEMBLY)); 1854 *matout = tmat; 1855 } 1856 PetscFunctionReturn(PETSC_SUCCESS); 1857 } 1858 1859 static PetscErrorCode MatEqual_SeqDense(Mat A1, Mat A2, PetscBool *flg) 1860 { 1861 Mat_SeqDense *mat1 = (Mat_SeqDense *)A1->data; 1862 Mat_SeqDense *mat2 = (Mat_SeqDense *)A2->data; 1863 PetscInt i; 1864 const PetscScalar *v1, *v2; 1865 1866 PetscFunctionBegin; 1867 if (A1->rmap->n != A2->rmap->n) { 1868 *flg = PETSC_FALSE; 1869 PetscFunctionReturn(PETSC_SUCCESS); 1870 } 1871 if (A1->cmap->n != A2->cmap->n) { 1872 *flg = PETSC_FALSE; 1873 PetscFunctionReturn(PETSC_SUCCESS); 1874 } 1875 PetscCall(MatDenseGetArrayRead(A1, &v1)); 1876 PetscCall(MatDenseGetArrayRead(A2, &v2)); 1877 for (i = 0; i < A1->cmap->n; i++) { 1878 PetscCall(PetscArraycmp(v1, v2, A1->rmap->n, flg)); 1879 if (*flg == PETSC_FALSE) PetscFunctionReturn(PETSC_SUCCESS); 1880 v1 += mat1->lda; 1881 v2 += mat2->lda; 1882 } 1883 PetscCall(MatDenseRestoreArrayRead(A1, &v1)); 1884 PetscCall(MatDenseRestoreArrayRead(A2, &v2)); 1885 *flg = PETSC_TRUE; 1886 PetscFunctionReturn(PETSC_SUCCESS); 1887 } 1888 1889 PetscErrorCode MatGetDiagonal_SeqDense(Mat A, Vec v) 1890 { 1891 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1892 PetscInt i, n, len; 1893 PetscScalar *x; 1894 const PetscScalar *vv; 1895 1896 PetscFunctionBegin; 1897 PetscCall(VecGetSize(v, &n)); 1898 PetscCall(VecGetArray(v, &x)); 1899 len = PetscMin(A->rmap->n, A->cmap->n); 1900 PetscCall(MatDenseGetArrayRead(A, &vv)); 1901 PetscCheck(n == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming mat and vec"); 1902 for (i = 0; i < len; i++) x[i] = vv[i * mat->lda + i]; 1903 PetscCall(MatDenseRestoreArrayRead(A, &vv)); 1904 PetscCall(VecRestoreArray(v, &x)); 1905 PetscFunctionReturn(PETSC_SUCCESS); 1906 } 1907 1908 static PetscErrorCode MatDiagonalScale_SeqDense(Mat A, Vec ll, Vec rr) 1909 { 1910 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1911 const PetscScalar *l, *r; 1912 PetscScalar x, *v, *vv; 1913 PetscInt i, j, m = A->rmap->n, n = A->cmap->n; 1914 1915 PetscFunctionBegin; 1916 PetscCall(MatDenseGetArray(A, &vv)); 1917 if (ll) { 1918 PetscCall(VecGetSize(ll, &m)); 1919 PetscCall(VecGetArrayRead(ll, &l)); 1920 PetscCheck(m == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Left scaling vec wrong size"); 1921 for (i = 0; i < m; i++) { 1922 x = l[i]; 1923 v = vv + i; 1924 for (j = 0; j < n; j++) { 1925 (*v) *= x; 1926 v += mat->lda; 1927 } 1928 } 1929 PetscCall(VecRestoreArrayRead(ll, &l)); 1930 PetscCall(PetscLogFlops(1.0 * n * m)); 1931 } 1932 if (rr) { 1933 PetscCall(VecGetSize(rr, &n)); 1934 PetscCall(VecGetArrayRead(rr, &r)); 1935 PetscCheck(n == A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Right scaling vec wrong size"); 1936 for (i = 0; i < n; i++) { 1937 x = r[i]; 1938 v = vv + i * mat->lda; 1939 for (j = 0; j < m; j++) (*v++) *= x; 1940 } 1941 PetscCall(VecRestoreArrayRead(rr, &r)); 1942 PetscCall(PetscLogFlops(1.0 * n * m)); 1943 } 1944 PetscCall(MatDenseRestoreArray(A, &vv)); 1945 PetscFunctionReturn(PETSC_SUCCESS); 1946 } 1947 1948 PetscErrorCode MatNorm_SeqDense(Mat A, NormType type, PetscReal *nrm) 1949 { 1950 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 1951 PetscScalar *v, *vv; 1952 PetscReal sum = 0.0; 1953 PetscInt lda, m = A->rmap->n, i, j; 1954 1955 PetscFunctionBegin; 1956 PetscCall(MatDenseGetArrayRead(A, (const PetscScalar **)&vv)); 1957 PetscCall(MatDenseGetLDA(A, &lda)); 1958 v = vv; 1959 if (type == NORM_FROBENIUS) { 1960 if (lda > m) { 1961 for (j = 0; j < A->cmap->n; j++) { 1962 v = vv + j * lda; 1963 for (i = 0; i < m; i++) { 1964 sum += PetscRealPart(PetscConj(*v) * (*v)); 1965 v++; 1966 } 1967 } 1968 } else { 1969 #if defined(PETSC_USE_REAL___FP16) 1970 PetscBLASInt one = 1, cnt = A->cmap->n * A->rmap->n; 1971 PetscCallBLAS("BLASnrm2", *nrm = BLASnrm2_(&cnt, v, &one)); 1972 } 1973 #else 1974 for (i = 0; i < A->cmap->n * A->rmap->n; i++) { 1975 sum += PetscRealPart(PetscConj(*v) * (*v)); 1976 v++; 1977 } 1978 } 1979 *nrm = PetscSqrtReal(sum); 1980 #endif 1981 PetscCall(PetscLogFlops(2.0 * A->cmap->n * A->rmap->n)); 1982 } else if (type == NORM_1) { 1983 *nrm = 0.0; 1984 for (j = 0; j < A->cmap->n; j++) { 1985 v = vv + j * mat->lda; 1986 sum = 0.0; 1987 for (i = 0; i < A->rmap->n; i++) { 1988 sum += PetscAbsScalar(*v); 1989 v++; 1990 } 1991 if (sum > *nrm) *nrm = sum; 1992 } 1993 PetscCall(PetscLogFlops(1.0 * A->cmap->n * A->rmap->n)); 1994 } else if (type == NORM_INFINITY) { 1995 *nrm = 0.0; 1996 for (j = 0; j < A->rmap->n; j++) { 1997 v = vv + j; 1998 sum = 0.0; 1999 for (i = 0; i < A->cmap->n; i++) { 2000 sum += PetscAbsScalar(*v); 2001 v += mat->lda; 2002 } 2003 if (sum > *nrm) *nrm = sum; 2004 } 2005 PetscCall(PetscLogFlops(1.0 * A->cmap->n * A->rmap->n)); 2006 } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "No two norm"); 2007 PetscCall(MatDenseRestoreArrayRead(A, (const PetscScalar **)&vv)); 2008 PetscFunctionReturn(PETSC_SUCCESS); 2009 } 2010 2011 static PetscErrorCode MatSetOption_SeqDense(Mat A, MatOption op, PetscBool flg) 2012 { 2013 Mat_SeqDense *aij = (Mat_SeqDense *)A->data; 2014 2015 PetscFunctionBegin; 2016 switch (op) { 2017 case MAT_ROW_ORIENTED: 2018 aij->roworiented = flg; 2019 break; 2020 default: 2021 break; 2022 } 2023 PetscFunctionReturn(PETSC_SUCCESS); 2024 } 2025 2026 PetscErrorCode MatZeroEntries_SeqDense(Mat A) 2027 { 2028 Mat_SeqDense *l = (Mat_SeqDense *)A->data; 2029 PetscInt lda = l->lda, m = A->rmap->n, n = A->cmap->n, j; 2030 PetscScalar *v; 2031 2032 PetscFunctionBegin; 2033 PetscCall(MatDenseGetArrayWrite(A, &v)); 2034 if (lda > m) { 2035 for (j = 0; j < n; j++) PetscCall(PetscArrayzero(v + j * lda, m)); 2036 } else { 2037 PetscCall(PetscArrayzero(v, PetscInt64Mult(m, n))); 2038 } 2039 PetscCall(MatDenseRestoreArrayWrite(A, &v)); 2040 PetscFunctionReturn(PETSC_SUCCESS); 2041 } 2042 2043 static PetscErrorCode MatZeroRows_SeqDense(Mat A, PetscInt N, const PetscInt rows[], PetscScalar diag, Vec x, Vec b) 2044 { 2045 Mat_SeqDense *l = (Mat_SeqDense *)A->data; 2046 PetscInt m = l->lda, n = A->cmap->n, i, j; 2047 PetscScalar *slot, *bb, *v; 2048 const PetscScalar *xx; 2049 2050 PetscFunctionBegin; 2051 if (PetscDefined(USE_DEBUG)) { 2052 for (i = 0; i < N; i++) { 2053 PetscCheck(rows[i] >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Negative row requested to be zeroed"); 2054 PetscCheck(rows[i] < A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row %" PetscInt_FMT " requested to be zeroed greater than or equal number of rows %" PetscInt_FMT, rows[i], A->rmap->n); 2055 } 2056 } 2057 if (!N) PetscFunctionReturn(PETSC_SUCCESS); 2058 2059 /* fix right-hand side if needed */ 2060 if (x && b) { 2061 PetscCall(VecGetArrayRead(x, &xx)); 2062 PetscCall(VecGetArray(b, &bb)); 2063 for (i = 0; i < N; i++) bb[rows[i]] = diag * xx[rows[i]]; 2064 PetscCall(VecRestoreArrayRead(x, &xx)); 2065 PetscCall(VecRestoreArray(b, &bb)); 2066 } 2067 2068 PetscCall(MatDenseGetArray(A, &v)); 2069 for (i = 0; i < N; i++) { 2070 slot = v + rows[i]; 2071 for (j = 0; j < n; j++) { 2072 *slot = 0.0; 2073 slot += m; 2074 } 2075 } 2076 if (diag != 0.0) { 2077 PetscCheck(A->rmap->n == A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only coded for square matrices"); 2078 for (i = 0; i < N; i++) { 2079 slot = v + (m + 1) * rows[i]; 2080 *slot = diag; 2081 } 2082 } 2083 PetscCall(MatDenseRestoreArray(A, &v)); 2084 PetscFunctionReturn(PETSC_SUCCESS); 2085 } 2086 2087 static PetscErrorCode MatDenseGetLDA_SeqDense(Mat A, PetscInt *lda) 2088 { 2089 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2090 2091 PetscFunctionBegin; 2092 *lda = mat->lda; 2093 PetscFunctionReturn(PETSC_SUCCESS); 2094 } 2095 2096 PetscErrorCode MatDenseGetArray_SeqDense(Mat A, PetscScalar **array) 2097 { 2098 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2099 2100 PetscFunctionBegin; 2101 PetscCheck(!mat->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 2102 *array = mat->v; 2103 PetscFunctionReturn(PETSC_SUCCESS); 2104 } 2105 2106 PetscErrorCode MatDenseRestoreArray_SeqDense(Mat A, PetscScalar **array) 2107 { 2108 PetscFunctionBegin; 2109 if (array) *array = NULL; 2110 PetscFunctionReturn(PETSC_SUCCESS); 2111 } 2112 2113 /*@ 2114 MatDenseGetLDA - gets the leading dimension of the array returned from `MatDenseGetArray()` 2115 2116 Not Collective 2117 2118 Input Parameter: 2119 . A - a `MATDENSE` or `MATDENSECUDA` matrix 2120 2121 Output Parameter: 2122 . lda - the leading dimension 2123 2124 Level: intermediate 2125 2126 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseSetLDA()` 2127 @*/ 2128 PetscErrorCode MatDenseGetLDA(Mat A, PetscInt *lda) 2129 { 2130 PetscFunctionBegin; 2131 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2132 PetscAssertPointer(lda, 2); 2133 MatCheckPreallocated(A, 1); 2134 PetscUseMethod(A, "MatDenseGetLDA_C", (Mat, PetscInt *), (A, lda)); 2135 PetscFunctionReturn(PETSC_SUCCESS); 2136 } 2137 2138 /*@ 2139 MatDenseSetLDA - Sets the leading dimension of the array used by the `MATDENSE` matrix 2140 2141 Collective if the matrix layouts have not yet been setup 2142 2143 Input Parameters: 2144 + A - a `MATDENSE` or `MATDENSECUDA` matrix 2145 - lda - the leading dimension 2146 2147 Level: intermediate 2148 2149 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetLDA()` 2150 @*/ 2151 PetscErrorCode MatDenseSetLDA(Mat A, PetscInt lda) 2152 { 2153 PetscFunctionBegin; 2154 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2155 PetscTryMethod(A, "MatDenseSetLDA_C", (Mat, PetscInt), (A, lda)); 2156 PetscFunctionReturn(PETSC_SUCCESS); 2157 } 2158 2159 /*@C 2160 MatDenseGetArray - gives read-write access to the array where the data for a `MATDENSE` matrix is stored 2161 2162 Logically Collective 2163 2164 Input Parameter: 2165 . A - a dense matrix 2166 2167 Output Parameter: 2168 . array - pointer to the data 2169 2170 Level: intermediate 2171 2172 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2173 @*/ 2174 PetscErrorCode MatDenseGetArray(Mat A, PetscScalar *array[]) PeNS 2175 { 2176 PetscFunctionBegin; 2177 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2178 PetscAssertPointer(array, 2); 2179 PetscUseMethod(A, "MatDenseGetArray_C", (Mat, PetscScalar **), (A, array)); 2180 PetscFunctionReturn(PETSC_SUCCESS); 2181 } 2182 2183 /*@C 2184 MatDenseRestoreArray - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArray()` 2185 2186 Logically Collective 2187 2188 Input Parameters: 2189 + A - a dense matrix 2190 - array - pointer to the data (may be `NULL`) 2191 2192 Level: intermediate 2193 2194 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2195 @*/ 2196 PetscErrorCode MatDenseRestoreArray(Mat A, PetscScalar *array[]) PeNS 2197 { 2198 PetscFunctionBegin; 2199 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2200 if (array) PetscAssertPointer(array, 2); 2201 PetscUseMethod(A, "MatDenseRestoreArray_C", (Mat, PetscScalar **), (A, array)); 2202 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2203 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 2204 A->offloadmask = PETSC_OFFLOAD_CPU; 2205 #endif 2206 PetscFunctionReturn(PETSC_SUCCESS); 2207 } 2208 2209 /*@C 2210 MatDenseGetArrayRead - gives read-only access to the array where the data for a `MATDENSE` matrix is stored 2211 2212 Not Collective 2213 2214 Input Parameter: 2215 . A - a dense matrix 2216 2217 Output Parameter: 2218 . array - pointer to the data 2219 2220 Level: intermediate 2221 2222 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayRead()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2223 @*/ 2224 PetscErrorCode MatDenseGetArrayRead(Mat A, const PetscScalar *array[]) PeNS 2225 { 2226 PetscFunctionBegin; 2227 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2228 PetscAssertPointer(array, 2); 2229 PetscUseMethod(A, "MatDenseGetArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2230 PetscFunctionReturn(PETSC_SUCCESS); 2231 } 2232 2233 /*@C 2234 MatDenseRestoreArrayRead - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArrayRead()` 2235 2236 Not Collective 2237 2238 Input Parameters: 2239 + A - a dense matrix 2240 - array - pointer to the data (may be `NULL`) 2241 2242 Level: intermediate 2243 2244 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayRead()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2245 @*/ 2246 PetscErrorCode MatDenseRestoreArrayRead(Mat A, const PetscScalar *array[]) PeNS 2247 { 2248 PetscFunctionBegin; 2249 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2250 if (array) PetscAssertPointer(array, 2); 2251 PetscUseMethod(A, "MatDenseRestoreArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2252 PetscFunctionReturn(PETSC_SUCCESS); 2253 } 2254 2255 /*@C 2256 MatDenseGetArrayWrite - gives write-only access to the array where the data for a `MATDENSE` matrix is stored 2257 2258 Not Collective 2259 2260 Input Parameter: 2261 . A - a dense matrix 2262 2263 Output Parameter: 2264 . array - pointer to the data 2265 2266 Level: intermediate 2267 2268 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayWrite()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()` 2269 @*/ 2270 PetscErrorCode MatDenseGetArrayWrite(Mat A, PetscScalar *array[]) PeNS 2271 { 2272 PetscFunctionBegin; 2273 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2274 PetscAssertPointer(array, 2); 2275 PetscUseMethod(A, "MatDenseGetArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2276 PetscFunctionReturn(PETSC_SUCCESS); 2277 } 2278 2279 /*@C 2280 MatDenseRestoreArrayWrite - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArrayWrite()` 2281 2282 Not Collective 2283 2284 Input Parameters: 2285 + A - a dense matrix 2286 - array - pointer to the data (may be `NULL`) 2287 2288 Level: intermediate 2289 2290 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayWrite()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()` 2291 @*/ 2292 PetscErrorCode MatDenseRestoreArrayWrite(Mat A, PetscScalar *array[]) PeNS 2293 { 2294 PetscFunctionBegin; 2295 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2296 if (array) PetscAssertPointer(array, 2); 2297 PetscUseMethod(A, "MatDenseRestoreArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2298 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2299 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 2300 A->offloadmask = PETSC_OFFLOAD_CPU; 2301 #endif 2302 PetscFunctionReturn(PETSC_SUCCESS); 2303 } 2304 2305 /*@C 2306 MatDenseGetArrayAndMemType - gives read-write access to the array where the data for a `MATDENSE` matrix is stored 2307 2308 Logically Collective 2309 2310 Input Parameter: 2311 . A - a dense matrix 2312 2313 Output Parameters: 2314 + array - pointer to the data 2315 - mtype - memory type of the returned pointer 2316 2317 Level: intermediate 2318 2319 Note: 2320 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2321 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2322 2323 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayAndMemType()`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArrayWriteAndMemType()`, `MatDenseGetArrayRead()`, 2324 `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2325 @*/ 2326 PetscErrorCode MatDenseGetArrayAndMemType(Mat A, PetscScalar *array[], PetscMemType *mtype) 2327 { 2328 PetscBool isMPI; 2329 2330 PetscFunctionBegin; 2331 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2332 PetscAssertPointer(array, 2); 2333 PetscCall(MatBindToCPU(A, PETSC_FALSE)); /* We want device matrices to always return device arrays, so we unbind the matrix if it is bound to CPU */ 2334 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2335 if (isMPI) { 2336 /* Dispatch here so that the code can be reused for all subclasses of MATDENSE */ 2337 PetscCall(MatDenseGetArrayAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2338 } else { 2339 PetscErrorCode (*fptr)(Mat, PetscScalar **, PetscMemType *); 2340 2341 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayAndMemType_C", &fptr)); 2342 if (fptr) { 2343 PetscCall((*fptr)(A, array, mtype)); 2344 } else { 2345 PetscUseMethod(A, "MatDenseGetArray_C", (Mat, PetscScalar **), (A, array)); 2346 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2347 } 2348 } 2349 PetscFunctionReturn(PETSC_SUCCESS); 2350 } 2351 2352 /*@C 2353 MatDenseRestoreArrayAndMemType - returns access to the array that is obtained by `MatDenseGetArrayAndMemType()` 2354 2355 Logically Collective 2356 2357 Input Parameters: 2358 + A - a dense matrix 2359 - array - pointer to the data 2360 2361 Level: intermediate 2362 2363 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2364 @*/ 2365 PetscErrorCode MatDenseRestoreArrayAndMemType(Mat A, PetscScalar *array[]) 2366 { 2367 PetscBool isMPI; 2368 2369 PetscFunctionBegin; 2370 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2371 PetscAssertPointer(array, 2); 2372 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2373 if (isMPI) { 2374 PetscCall(MatDenseRestoreArrayAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2375 } else { 2376 PetscErrorCode (*fptr)(Mat, PetscScalar **); 2377 2378 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayAndMemType_C", &fptr)); 2379 if (fptr) { 2380 PetscCall((*fptr)(A, array)); 2381 } else { 2382 PetscUseMethod(A, "MatDenseRestoreArray_C", (Mat, PetscScalar **), (A, array)); 2383 } 2384 *array = NULL; 2385 } 2386 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2387 PetscFunctionReturn(PETSC_SUCCESS); 2388 } 2389 2390 /*@C 2391 MatDenseGetArrayReadAndMemType - gives read-only access to the array where the data for a `MATDENSE` matrix is stored 2392 2393 Logically Collective 2394 2395 Input Parameter: 2396 . A - a dense matrix 2397 2398 Output Parameters: 2399 + array - pointer to the data 2400 - mtype - memory type of the returned pointer 2401 2402 Level: intermediate 2403 2404 Note: 2405 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2406 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2407 2408 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayReadAndMemType()`, `MatDenseGetArrayWriteAndMemType()`, 2409 `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2410 @*/ 2411 PetscErrorCode MatDenseGetArrayReadAndMemType(Mat A, const PetscScalar *array[], PetscMemType *mtype) 2412 { 2413 PetscBool isMPI; 2414 2415 PetscFunctionBegin; 2416 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2417 PetscAssertPointer(array, 2); 2418 PetscCall(MatBindToCPU(A, PETSC_FALSE)); /* We want device matrices to always return device arrays, so we unbind the matrix if it is bound to CPU */ 2419 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2420 if (isMPI) { /* Dispatch here so that the code can be reused for all subclasses of MATDENSE */ 2421 PetscCall(MatDenseGetArrayReadAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2422 } else { 2423 PetscErrorCode (*fptr)(Mat, const PetscScalar **, PetscMemType *); 2424 2425 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayReadAndMemType_C", &fptr)); 2426 if (fptr) { 2427 PetscCall((*fptr)(A, array, mtype)); 2428 } else { 2429 PetscUseMethod(A, "MatDenseGetArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2430 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2431 } 2432 } 2433 PetscFunctionReturn(PETSC_SUCCESS); 2434 } 2435 2436 /*@C 2437 MatDenseRestoreArrayReadAndMemType - returns access to the array that is obtained by `MatDenseGetArrayReadAndMemType()` 2438 2439 Logically Collective 2440 2441 Input Parameters: 2442 + A - a dense matrix 2443 - array - pointer to the data 2444 2445 Level: intermediate 2446 2447 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2448 @*/ 2449 PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat A, const PetscScalar *array[]) 2450 { 2451 PetscBool isMPI; 2452 2453 PetscFunctionBegin; 2454 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2455 PetscAssertPointer(array, 2); 2456 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2457 if (isMPI) { 2458 PetscCall(MatDenseRestoreArrayReadAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2459 } else { 2460 PetscErrorCode (*fptr)(Mat, const PetscScalar **); 2461 2462 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayReadAndMemType_C", &fptr)); 2463 if (fptr) { 2464 PetscCall((*fptr)(A, array)); 2465 } else { 2466 PetscUseMethod(A, "MatDenseRestoreArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2467 } 2468 *array = NULL; 2469 } 2470 PetscFunctionReturn(PETSC_SUCCESS); 2471 } 2472 2473 /*@C 2474 MatDenseGetArrayWriteAndMemType - gives write-only access to the array where the data for a `MATDENSE` matrix is stored 2475 2476 Logically Collective 2477 2478 Input Parameter: 2479 . A - a dense matrix 2480 2481 Output Parameters: 2482 + array - pointer to the data 2483 - mtype - memory type of the returned pointer 2484 2485 Level: intermediate 2486 2487 Note: 2488 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2489 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2490 2491 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayWriteAndMemType()`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArrayRead()`, 2492 `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2493 @*/ 2494 PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat A, PetscScalar *array[], PetscMemType *mtype) 2495 { 2496 PetscBool isMPI; 2497 2498 PetscFunctionBegin; 2499 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2500 PetscAssertPointer(array, 2); 2501 PetscCall(MatBindToCPU(A, PETSC_FALSE)); /* We want device matrices to always return device arrays, so we unbind the matrix if it is bound to CPU */ 2502 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2503 if (isMPI) { 2504 PetscCall(MatDenseGetArrayWriteAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2505 } else { 2506 PetscErrorCode (*fptr)(Mat, PetscScalar **, PetscMemType *); 2507 2508 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayWriteAndMemType_C", &fptr)); 2509 if (fptr) { 2510 PetscCall((*fptr)(A, array, mtype)); 2511 } else { 2512 PetscUseMethod(A, "MatDenseGetArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2513 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2514 } 2515 } 2516 PetscFunctionReturn(PETSC_SUCCESS); 2517 } 2518 2519 /*@C 2520 MatDenseRestoreArrayWriteAndMemType - returns access to the array that is obtained by `MatDenseGetArrayReadAndMemType()` 2521 2522 Logically Collective 2523 2524 Input Parameters: 2525 + A - a dense matrix 2526 - array - pointer to the data 2527 2528 Level: intermediate 2529 2530 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayWriteAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2531 @*/ 2532 PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat A, PetscScalar *array[]) 2533 { 2534 PetscBool isMPI; 2535 2536 PetscFunctionBegin; 2537 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2538 PetscAssertPointer(array, 2); 2539 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2540 if (isMPI) { 2541 PetscCall(MatDenseRestoreArrayWriteAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2542 } else { 2543 PetscErrorCode (*fptr)(Mat, PetscScalar **); 2544 2545 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayWriteAndMemType_C", &fptr)); 2546 if (fptr) { 2547 PetscCall((*fptr)(A, array)); 2548 } else { 2549 PetscUseMethod(A, "MatDenseRestoreArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2550 } 2551 *array = NULL; 2552 } 2553 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2554 PetscFunctionReturn(PETSC_SUCCESS); 2555 } 2556 2557 static PetscErrorCode MatCreateSubMatrix_SeqDense(Mat A, IS isrow, IS iscol, MatReuse scall, Mat *B) 2558 { 2559 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2560 PetscInt i, j, nrows, ncols, ldb; 2561 const PetscInt *irow, *icol; 2562 PetscScalar *av, *bv, *v = mat->v; 2563 Mat newmat; 2564 2565 PetscFunctionBegin; 2566 PetscCall(ISGetIndices(isrow, &irow)); 2567 PetscCall(ISGetIndices(iscol, &icol)); 2568 PetscCall(ISGetLocalSize(isrow, &nrows)); 2569 PetscCall(ISGetLocalSize(iscol, &ncols)); 2570 2571 /* Check submatrixcall */ 2572 if (scall == MAT_REUSE_MATRIX) { 2573 PetscInt n_cols, n_rows; 2574 PetscCall(MatGetSize(*B, &n_rows, &n_cols)); 2575 if (n_rows != nrows || n_cols != ncols) { 2576 /* resize the result matrix to match number of requested rows/columns */ 2577 PetscCall(MatSetSizes(*B, nrows, ncols, nrows, ncols)); 2578 } 2579 newmat = *B; 2580 } else { 2581 /* Create and fill new matrix */ 2582 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &newmat)); 2583 PetscCall(MatSetSizes(newmat, nrows, ncols, nrows, ncols)); 2584 PetscCall(MatSetType(newmat, ((PetscObject)A)->type_name)); 2585 PetscCall(MatSeqDenseSetPreallocation(newmat, NULL)); 2586 } 2587 2588 /* Now extract the data pointers and do the copy,column at a time */ 2589 PetscCall(MatDenseGetArray(newmat, &bv)); 2590 PetscCall(MatDenseGetLDA(newmat, &ldb)); 2591 for (i = 0; i < ncols; i++) { 2592 av = v + mat->lda * icol[i]; 2593 for (j = 0; j < nrows; j++) bv[j] = av[irow[j]]; 2594 bv += ldb; 2595 } 2596 PetscCall(MatDenseRestoreArray(newmat, &bv)); 2597 2598 /* Assemble the matrices so that the correct flags are set */ 2599 PetscCall(MatAssemblyBegin(newmat, MAT_FINAL_ASSEMBLY)); 2600 PetscCall(MatAssemblyEnd(newmat, MAT_FINAL_ASSEMBLY)); 2601 2602 /* Free work space */ 2603 PetscCall(ISRestoreIndices(isrow, &irow)); 2604 PetscCall(ISRestoreIndices(iscol, &icol)); 2605 *B = newmat; 2606 PetscFunctionReturn(PETSC_SUCCESS); 2607 } 2608 2609 static PetscErrorCode MatCreateSubMatrices_SeqDense(Mat A, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *B[]) 2610 { 2611 PetscInt i; 2612 2613 PetscFunctionBegin; 2614 if (scall == MAT_INITIAL_MATRIX) PetscCall(PetscCalloc1(n, B)); 2615 2616 for (i = 0; i < n; i++) PetscCall(MatCreateSubMatrix_SeqDense(A, irow[i], icol[i], scall, &(*B)[i])); 2617 PetscFunctionReturn(PETSC_SUCCESS); 2618 } 2619 2620 PetscErrorCode MatCopy_SeqDense(Mat A, Mat B, MatStructure str) 2621 { 2622 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data; 2623 const PetscScalar *va; 2624 PetscScalar *vb; 2625 PetscInt lda1 = a->lda, lda2 = b->lda, m = A->rmap->n, n = A->cmap->n, j; 2626 2627 PetscFunctionBegin; 2628 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 2629 if (A->ops->copy != B->ops->copy) { 2630 PetscCall(MatCopy_Basic(A, B, str)); 2631 PetscFunctionReturn(PETSC_SUCCESS); 2632 } 2633 PetscCheck(m == B->rmap->n && n == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "size(B) != size(A)"); 2634 PetscCall(MatDenseGetArrayRead(A, &va)); 2635 PetscCall(MatDenseGetArray(B, &vb)); 2636 if (lda1 > m || lda2 > m) { 2637 for (j = 0; j < n; j++) PetscCall(PetscArraycpy(vb + j * lda2, va + j * lda1, m)); 2638 } else { 2639 PetscCall(PetscArraycpy(vb, va, A->rmap->n * A->cmap->n)); 2640 } 2641 PetscCall(MatDenseRestoreArray(B, &vb)); 2642 PetscCall(MatDenseRestoreArrayRead(A, &va)); 2643 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 2644 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 2645 PetscFunctionReturn(PETSC_SUCCESS); 2646 } 2647 2648 PetscErrorCode MatSetUp_SeqDense(Mat A) 2649 { 2650 PetscFunctionBegin; 2651 PetscCall(PetscLayoutSetUp(A->rmap)); 2652 PetscCall(PetscLayoutSetUp(A->cmap)); 2653 if (!A->preallocated) PetscCall(MatSeqDenseSetPreallocation(A, NULL)); 2654 PetscFunctionReturn(PETSC_SUCCESS); 2655 } 2656 2657 static PetscErrorCode MatConjugate_SeqDense(Mat A) 2658 { 2659 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2660 PetscInt i, j; 2661 PetscInt min = PetscMin(A->rmap->n, A->cmap->n); 2662 PetscScalar *aa; 2663 2664 PetscFunctionBegin; 2665 PetscCall(MatDenseGetArray(A, &aa)); 2666 for (j = 0; j < A->cmap->n; j++) { 2667 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscConj(aa[i + j * mat->lda]); 2668 } 2669 PetscCall(MatDenseRestoreArray(A, &aa)); 2670 if (mat->tau) 2671 for (i = 0; i < min; i++) mat->tau[i] = PetscConj(mat->tau[i]); 2672 PetscFunctionReturn(PETSC_SUCCESS); 2673 } 2674 2675 static PetscErrorCode MatRealPart_SeqDense(Mat A) 2676 { 2677 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2678 PetscInt i, j; 2679 PetscScalar *aa; 2680 2681 PetscFunctionBegin; 2682 PetscCall(MatDenseGetArray(A, &aa)); 2683 for (j = 0; j < A->cmap->n; j++) { 2684 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscRealPart(aa[i + j * mat->lda]); 2685 } 2686 PetscCall(MatDenseRestoreArray(A, &aa)); 2687 PetscFunctionReturn(PETSC_SUCCESS); 2688 } 2689 2690 static PetscErrorCode MatImaginaryPart_SeqDense(Mat A) 2691 { 2692 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2693 PetscInt i, j; 2694 PetscScalar *aa; 2695 2696 PetscFunctionBegin; 2697 PetscCall(MatDenseGetArray(A, &aa)); 2698 for (j = 0; j < A->cmap->n; j++) { 2699 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscImaginaryPart(aa[i + j * mat->lda]); 2700 } 2701 PetscCall(MatDenseRestoreArray(A, &aa)); 2702 PetscFunctionReturn(PETSC_SUCCESS); 2703 } 2704 2705 PetscErrorCode MatMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2706 { 2707 PetscInt m = A->rmap->n, n = B->cmap->n; 2708 PetscBool cisdense = PETSC_FALSE; 2709 2710 PetscFunctionBegin; 2711 PetscCall(MatSetSizes(C, m, n, m, n)); 2712 #if defined(PETSC_HAVE_CUDA) 2713 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2714 #endif 2715 #if defined(PETSC_HAVE_HIP) 2716 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2717 #endif 2718 if (!cisdense) { 2719 PetscBool flg; 2720 2721 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2722 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2723 } 2724 PetscCall(MatSetUp(C)); 2725 PetscFunctionReturn(PETSC_SUCCESS); 2726 } 2727 2728 PetscErrorCode MatMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2729 { 2730 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data, *c = (Mat_SeqDense *)C->data; 2731 PetscBLASInt m, n, k; 2732 const PetscScalar *av, *bv; 2733 PetscScalar *cv; 2734 PetscScalar _DOne = 1.0, _DZero = 0.0; 2735 2736 PetscFunctionBegin; 2737 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2738 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2739 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2740 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2741 PetscCall(MatDenseGetArrayRead(A, &av)); 2742 PetscCall(MatDenseGetArrayRead(B, &bv)); 2743 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2744 PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2745 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2746 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2747 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2748 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2749 PetscFunctionReturn(PETSC_SUCCESS); 2750 } 2751 2752 PetscErrorCode MatMatTransposeMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2753 { 2754 PetscInt m = A->rmap->n, n = B->rmap->n; 2755 PetscBool cisdense = PETSC_FALSE; 2756 2757 PetscFunctionBegin; 2758 PetscCall(MatSetSizes(C, m, n, m, n)); 2759 #if defined(PETSC_HAVE_CUDA) 2760 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2761 #endif 2762 #if defined(PETSC_HAVE_HIP) 2763 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2764 #endif 2765 if (!cisdense) { 2766 PetscBool flg; 2767 2768 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2769 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2770 } 2771 PetscCall(MatSetUp(C)); 2772 PetscFunctionReturn(PETSC_SUCCESS); 2773 } 2774 2775 PetscErrorCode MatMatTransposeMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2776 { 2777 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2778 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2779 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2780 const PetscScalar *av, *bv; 2781 PetscScalar *cv; 2782 PetscBLASInt m, n, k; 2783 PetscScalar _DOne = 1.0, _DZero = 0.0; 2784 2785 PetscFunctionBegin; 2786 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2787 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2788 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2789 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2790 PetscCall(MatDenseGetArrayRead(A, &av)); 2791 PetscCall(MatDenseGetArrayRead(B, &bv)); 2792 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2793 PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2794 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2795 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2796 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2797 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2798 PetscFunctionReturn(PETSC_SUCCESS); 2799 } 2800 2801 PetscErrorCode MatTransposeMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2802 { 2803 PetscInt m = A->cmap->n, n = B->cmap->n; 2804 PetscBool cisdense = PETSC_FALSE; 2805 2806 PetscFunctionBegin; 2807 PetscCall(MatSetSizes(C, m, n, m, n)); 2808 #if defined(PETSC_HAVE_CUDA) 2809 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2810 #endif 2811 #if defined(PETSC_HAVE_HIP) 2812 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2813 #endif 2814 if (!cisdense) { 2815 PetscBool flg; 2816 2817 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2818 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2819 } 2820 PetscCall(MatSetUp(C)); 2821 PetscFunctionReturn(PETSC_SUCCESS); 2822 } 2823 2824 PetscErrorCode MatTransposeMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2825 { 2826 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2827 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2828 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2829 const PetscScalar *av, *bv; 2830 PetscScalar *cv; 2831 PetscBLASInt m, n, k; 2832 PetscScalar _DOne = 1.0, _DZero = 0.0; 2833 2834 PetscFunctionBegin; 2835 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2836 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2837 PetscCall(PetscBLASIntCast(A->rmap->n, &k)); 2838 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2839 PetscCall(MatDenseGetArrayRead(A, &av)); 2840 PetscCall(MatDenseGetArrayRead(B, &bv)); 2841 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2842 PetscCallBLAS("BLASgemm", BLASgemm_("T", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2843 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2844 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2845 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2846 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2847 PetscFunctionReturn(PETSC_SUCCESS); 2848 } 2849 2850 static PetscErrorCode MatProductSetFromOptions_SeqDense_AB(Mat C) 2851 { 2852 PetscFunctionBegin; 2853 C->ops->matmultsymbolic = MatMatMultSymbolic_SeqDense_SeqDense; 2854 C->ops->productsymbolic = MatProductSymbolic_AB; 2855 PetscFunctionReturn(PETSC_SUCCESS); 2856 } 2857 2858 static PetscErrorCode MatProductSetFromOptions_SeqDense_AtB(Mat C) 2859 { 2860 PetscFunctionBegin; 2861 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_SeqDense_SeqDense; 2862 C->ops->productsymbolic = MatProductSymbolic_AtB; 2863 PetscFunctionReturn(PETSC_SUCCESS); 2864 } 2865 2866 static PetscErrorCode MatProductSetFromOptions_SeqDense_ABt(Mat C) 2867 { 2868 PetscFunctionBegin; 2869 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_SeqDense_SeqDense; 2870 C->ops->productsymbolic = MatProductSymbolic_ABt; 2871 PetscFunctionReturn(PETSC_SUCCESS); 2872 } 2873 2874 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_SeqDense(Mat C) 2875 { 2876 Mat_Product *product = C->product; 2877 2878 PetscFunctionBegin; 2879 switch (product->type) { 2880 case MATPRODUCT_AB: 2881 PetscCall(MatProductSetFromOptions_SeqDense_AB(C)); 2882 break; 2883 case MATPRODUCT_AtB: 2884 PetscCall(MatProductSetFromOptions_SeqDense_AtB(C)); 2885 break; 2886 case MATPRODUCT_ABt: 2887 PetscCall(MatProductSetFromOptions_SeqDense_ABt(C)); 2888 break; 2889 default: 2890 break; 2891 } 2892 PetscFunctionReturn(PETSC_SUCCESS); 2893 } 2894 2895 static PetscErrorCode MatGetRowMax_SeqDense(Mat A, Vec v, PetscInt idx[]) 2896 { 2897 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2898 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2899 PetscScalar *x; 2900 const PetscScalar *aa; 2901 2902 PetscFunctionBegin; 2903 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2904 PetscCall(VecGetArray(v, &x)); 2905 PetscCall(VecGetLocalSize(v, &p)); 2906 PetscCall(MatDenseGetArrayRead(A, &aa)); 2907 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2908 for (i = 0; i < m; i++) { 2909 x[i] = aa[i]; 2910 if (idx) idx[i] = 0; 2911 for (j = 1; j < n; j++) { 2912 if (PetscRealPart(x[i]) < PetscRealPart(aa[i + a->lda * j])) { 2913 x[i] = aa[i + a->lda * j]; 2914 if (idx) idx[i] = j; 2915 } 2916 } 2917 } 2918 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2919 PetscCall(VecRestoreArray(v, &x)); 2920 PetscFunctionReturn(PETSC_SUCCESS); 2921 } 2922 2923 static PetscErrorCode MatGetRowMaxAbs_SeqDense(Mat A, Vec v, PetscInt idx[]) 2924 { 2925 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2926 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2927 PetscScalar *x; 2928 PetscReal atmp; 2929 const PetscScalar *aa; 2930 2931 PetscFunctionBegin; 2932 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2933 PetscCall(VecGetArray(v, &x)); 2934 PetscCall(VecGetLocalSize(v, &p)); 2935 PetscCall(MatDenseGetArrayRead(A, &aa)); 2936 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2937 for (i = 0; i < m; i++) { 2938 x[i] = PetscAbsScalar(aa[i]); 2939 for (j = 1; j < n; j++) { 2940 atmp = PetscAbsScalar(aa[i + a->lda * j]); 2941 if (PetscAbsScalar(x[i]) < atmp) { 2942 x[i] = atmp; 2943 if (idx) idx[i] = j; 2944 } 2945 } 2946 } 2947 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2948 PetscCall(VecRestoreArray(v, &x)); 2949 PetscFunctionReturn(PETSC_SUCCESS); 2950 } 2951 2952 static PetscErrorCode MatGetRowMin_SeqDense(Mat A, Vec v, PetscInt idx[]) 2953 { 2954 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2955 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2956 PetscScalar *x; 2957 const PetscScalar *aa; 2958 2959 PetscFunctionBegin; 2960 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2961 PetscCall(MatDenseGetArrayRead(A, &aa)); 2962 PetscCall(VecGetArray(v, &x)); 2963 PetscCall(VecGetLocalSize(v, &p)); 2964 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2965 for (i = 0; i < m; i++) { 2966 x[i] = aa[i]; 2967 if (idx) idx[i] = 0; 2968 for (j = 1; j < n; j++) { 2969 if (PetscRealPart(x[i]) > PetscRealPart(aa[i + a->lda * j])) { 2970 x[i] = aa[i + a->lda * j]; 2971 if (idx) idx[i] = j; 2972 } 2973 } 2974 } 2975 PetscCall(VecRestoreArray(v, &x)); 2976 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2977 PetscFunctionReturn(PETSC_SUCCESS); 2978 } 2979 2980 PetscErrorCode MatGetColumnVector_SeqDense(Mat A, Vec v, PetscInt col) 2981 { 2982 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2983 PetscScalar *x; 2984 const PetscScalar *aa; 2985 2986 PetscFunctionBegin; 2987 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2988 PetscCall(MatDenseGetArrayRead(A, &aa)); 2989 PetscCall(VecGetArray(v, &x)); 2990 PetscCall(PetscArraycpy(x, aa + col * a->lda, A->rmap->n)); 2991 PetscCall(VecRestoreArray(v, &x)); 2992 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2993 PetscFunctionReturn(PETSC_SUCCESS); 2994 } 2995 2996 PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat A, PetscInt type, PetscReal *reductions) 2997 { 2998 PetscInt i, j, m, n; 2999 const PetscScalar *a; 3000 3001 PetscFunctionBegin; 3002 PetscCall(MatGetSize(A, &m, &n)); 3003 PetscCall(PetscArrayzero(reductions, n)); 3004 PetscCall(MatDenseGetArrayRead(A, &a)); 3005 if (type == NORM_2) { 3006 for (i = 0; i < n; i++) { 3007 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j] * a[j]); 3008 a = PetscSafePointerPlusOffset(a, m); 3009 } 3010 } else if (type == NORM_1) { 3011 for (i = 0; i < n; i++) { 3012 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j]); 3013 a = PetscSafePointerPlusOffset(a, m); 3014 } 3015 } else if (type == NORM_INFINITY) { 3016 for (i = 0; i < n; i++) { 3017 for (j = 0; j < m; j++) reductions[i] = PetscMax(PetscAbsScalar(a[j]), reductions[i]); 3018 a = PetscSafePointerPlusOffset(a, m); 3019 } 3020 } else if (type == REDUCTION_SUM_REALPART || type == REDUCTION_MEAN_REALPART) { 3021 for (i = 0; i < n; i++) { 3022 for (j = 0; j < m; j++) reductions[i] += PetscRealPart(a[j]); 3023 a = PetscSafePointerPlusOffset(a, m); 3024 } 3025 } else if (type == REDUCTION_SUM_IMAGINARYPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3026 for (i = 0; i < n; i++) { 3027 for (j = 0; j < m; j++) reductions[i] += PetscImaginaryPart(a[j]); 3028 a = PetscSafePointerPlusOffset(a, m); 3029 } 3030 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Unknown reduction type"); 3031 PetscCall(MatDenseRestoreArrayRead(A, &a)); 3032 if (type == NORM_2) { 3033 for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]); 3034 } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3035 for (i = 0; i < n; i++) reductions[i] /= m; 3036 } 3037 PetscFunctionReturn(PETSC_SUCCESS); 3038 } 3039 3040 PetscErrorCode MatSetRandom_SeqDense(Mat x, PetscRandom rctx) 3041 { 3042 PetscScalar *a; 3043 PetscInt lda, m, n, i, j; 3044 3045 PetscFunctionBegin; 3046 PetscCall(MatGetSize(x, &m, &n)); 3047 PetscCall(MatDenseGetLDA(x, &lda)); 3048 PetscCall(MatDenseGetArrayWrite(x, &a)); 3049 for (j = 0; j < n; j++) { 3050 for (i = 0; i < m; i++) PetscCall(PetscRandomGetValue(rctx, a + j * lda + i)); 3051 } 3052 PetscCall(MatDenseRestoreArrayWrite(x, &a)); 3053 PetscFunctionReturn(PETSC_SUCCESS); 3054 } 3055 3056 static PetscErrorCode MatMissingDiagonal_SeqDense(Mat A, PetscBool *missing, PetscInt *d) 3057 { 3058 PetscFunctionBegin; 3059 *missing = PETSC_FALSE; 3060 PetscFunctionReturn(PETSC_SUCCESS); 3061 } 3062 3063 /* vals is not const */ 3064 static PetscErrorCode MatDenseGetColumn_SeqDense(Mat A, PetscInt col, PetscScalar **vals) 3065 { 3066 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3067 PetscScalar *v; 3068 3069 PetscFunctionBegin; 3070 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 3071 PetscCall(MatDenseGetArray(A, &v)); 3072 *vals = v + col * a->lda; 3073 PetscCall(MatDenseRestoreArray(A, &v)); 3074 PetscFunctionReturn(PETSC_SUCCESS); 3075 } 3076 3077 static PetscErrorCode MatDenseRestoreColumn_SeqDense(Mat A, PetscScalar **vals) 3078 { 3079 PetscFunctionBegin; 3080 if (vals) *vals = NULL; /* user cannot accidentally use the array later */ 3081 PetscFunctionReturn(PETSC_SUCCESS); 3082 } 3083 3084 static struct _MatOps MatOps_Values = {MatSetValues_SeqDense, 3085 MatGetRow_SeqDense, 3086 MatRestoreRow_SeqDense, 3087 MatMult_SeqDense, 3088 /* 4*/ MatMultAdd_SeqDense, 3089 MatMultTranspose_SeqDense, 3090 MatMultTransposeAdd_SeqDense, 3091 NULL, 3092 NULL, 3093 NULL, 3094 /* 10*/ NULL, 3095 MatLUFactor_SeqDense, 3096 MatCholeskyFactor_SeqDense, 3097 MatSOR_SeqDense, 3098 MatTranspose_SeqDense, 3099 /* 15*/ MatGetInfo_SeqDense, 3100 MatEqual_SeqDense, 3101 MatGetDiagonal_SeqDense, 3102 MatDiagonalScale_SeqDense, 3103 MatNorm_SeqDense, 3104 /* 20*/ NULL, 3105 NULL, 3106 MatSetOption_SeqDense, 3107 MatZeroEntries_SeqDense, 3108 /* 24*/ MatZeroRows_SeqDense, 3109 NULL, 3110 NULL, 3111 NULL, 3112 NULL, 3113 /* 29*/ MatSetUp_SeqDense, 3114 NULL, 3115 NULL, 3116 NULL, 3117 NULL, 3118 /* 34*/ MatDuplicate_SeqDense, 3119 NULL, 3120 NULL, 3121 NULL, 3122 NULL, 3123 /* 39*/ MatAXPY_SeqDense, 3124 MatCreateSubMatrices_SeqDense, 3125 NULL, 3126 MatGetValues_SeqDense, 3127 MatCopy_SeqDense, 3128 /* 44*/ MatGetRowMax_SeqDense, 3129 MatScale_SeqDense, 3130 MatShift_SeqDense, 3131 NULL, 3132 MatZeroRowsColumns_SeqDense, 3133 /* 49*/ MatSetRandom_SeqDense, 3134 NULL, 3135 NULL, 3136 NULL, 3137 NULL, 3138 /* 54*/ NULL, 3139 NULL, 3140 NULL, 3141 NULL, 3142 NULL, 3143 /* 59*/ MatCreateSubMatrix_SeqDense, 3144 MatDestroy_SeqDense, 3145 MatView_SeqDense, 3146 NULL, 3147 NULL, 3148 /* 64*/ NULL, 3149 NULL, 3150 NULL, 3151 NULL, 3152 NULL, 3153 /* 69*/ MatGetRowMaxAbs_SeqDense, 3154 NULL, 3155 NULL, 3156 NULL, 3157 NULL, 3158 /* 74*/ NULL, 3159 NULL, 3160 NULL, 3161 NULL, 3162 NULL, 3163 /* 79*/ NULL, 3164 NULL, 3165 NULL, 3166 NULL, 3167 /* 83*/ MatLoad_SeqDense, 3168 MatIsSymmetric_SeqDense, 3169 MatIsHermitian_SeqDense, 3170 NULL, 3171 NULL, 3172 NULL, 3173 /* 89*/ NULL, 3174 NULL, 3175 MatMatMultNumeric_SeqDense_SeqDense, 3176 NULL, 3177 NULL, 3178 /* 94*/ NULL, 3179 NULL, 3180 NULL, 3181 MatMatTransposeMultNumeric_SeqDense_SeqDense, 3182 NULL, 3183 /* 99*/ MatProductSetFromOptions_SeqDense, 3184 NULL, 3185 NULL, 3186 MatConjugate_SeqDense, 3187 NULL, 3188 /*104*/ NULL, 3189 MatRealPart_SeqDense, 3190 MatImaginaryPart_SeqDense, 3191 NULL, 3192 NULL, 3193 /*109*/ NULL, 3194 NULL, 3195 MatGetRowMin_SeqDense, 3196 MatGetColumnVector_SeqDense, 3197 MatMissingDiagonal_SeqDense, 3198 /*114*/ NULL, 3199 NULL, 3200 NULL, 3201 NULL, 3202 NULL, 3203 /*119*/ NULL, 3204 NULL, 3205 MatMultHermitianTranspose_SeqDense, 3206 MatMultHermitianTransposeAdd_SeqDense, 3207 NULL, 3208 /*124*/ NULL, 3209 MatGetColumnReductions_SeqDense, 3210 NULL, 3211 NULL, 3212 NULL, 3213 /*129*/ NULL, 3214 NULL, 3215 NULL, 3216 MatTransposeMatMultNumeric_SeqDense_SeqDense, 3217 NULL, 3218 /*134*/ NULL, 3219 NULL, 3220 NULL, 3221 NULL, 3222 NULL, 3223 /*139*/ NULL, 3224 NULL, 3225 NULL, 3226 NULL, 3227 NULL, 3228 MatCreateMPIMatConcatenateSeqMat_SeqDense, 3229 /*145*/ NULL, 3230 NULL, 3231 NULL, 3232 NULL, 3233 NULL, 3234 /*150*/ NULL, 3235 NULL, 3236 NULL, 3237 NULL, 3238 NULL, 3239 /*155*/ NULL, 3240 NULL}; 3241 3242 /*@ 3243 MatCreateSeqDense - Creates a `MATSEQDENSE` that 3244 is stored in column major order (the usual Fortran format). 3245 3246 Collective 3247 3248 Input Parameters: 3249 + comm - MPI communicator, set to `PETSC_COMM_SELF` 3250 . m - number of rows 3251 . n - number of columns 3252 - data - optional location of matrix data in column major order. Use `NULL` for PETSc 3253 to control all matrix memory allocation. 3254 3255 Output Parameter: 3256 . A - the matrix 3257 3258 Level: intermediate 3259 3260 Note: 3261 The data input variable is intended primarily for Fortran programmers 3262 who wish to allocate their own matrix memory space. Most users should 3263 set `data` = `NULL`. 3264 3265 Developer Note: 3266 Many of the matrix operations for this variant use the BLAS and LAPACK routines. 3267 3268 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()` 3269 @*/ 3270 PetscErrorCode MatCreateSeqDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscScalar data[], Mat *A) 3271 { 3272 PetscFunctionBegin; 3273 PetscCall(MatCreate(comm, A)); 3274 PetscCall(MatSetSizes(*A, m, n, m, n)); 3275 PetscCall(MatSetType(*A, MATSEQDENSE)); 3276 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 3277 PetscFunctionReturn(PETSC_SUCCESS); 3278 } 3279 3280 /*@ 3281 MatSeqDenseSetPreallocation - Sets the array used for storing the matrix elements of a `MATSEQDENSE` matrix 3282 3283 Collective 3284 3285 Input Parameters: 3286 + B - the matrix 3287 - data - the array (or `NULL`) 3288 3289 Level: intermediate 3290 3291 Note: 3292 The data input variable is intended primarily for Fortran programmers 3293 who wish to allocate their own matrix memory space. Most users should 3294 need not call this routine. 3295 3296 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()`, `MatDenseSetLDA()` 3297 @*/ 3298 PetscErrorCode MatSeqDenseSetPreallocation(Mat B, PetscScalar data[]) 3299 { 3300 PetscFunctionBegin; 3301 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 3302 PetscTryMethod(B, "MatSeqDenseSetPreallocation_C", (Mat, PetscScalar[]), (B, data)); 3303 PetscFunctionReturn(PETSC_SUCCESS); 3304 } 3305 3306 PetscErrorCode MatSeqDenseSetPreallocation_SeqDense(Mat B, PetscScalar *data) 3307 { 3308 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3309 3310 PetscFunctionBegin; 3311 PetscCheck(!b->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3312 B->preallocated = PETSC_TRUE; 3313 3314 PetscCall(PetscLayoutSetUp(B->rmap)); 3315 PetscCall(PetscLayoutSetUp(B->cmap)); 3316 3317 if (b->lda <= 0) PetscCall(PetscBLASIntCast(B->rmap->n, &b->lda)); 3318 3319 if (!data) { /* petsc-allocated storage */ 3320 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3321 PetscCall(PetscCalloc1((size_t)b->lda * B->cmap->n, &b->v)); 3322 3323 b->user_alloc = PETSC_FALSE; 3324 } else { /* user-allocated storage */ 3325 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3326 b->v = data; 3327 b->user_alloc = PETSC_TRUE; 3328 } 3329 B->assembled = PETSC_TRUE; 3330 PetscFunctionReturn(PETSC_SUCCESS); 3331 } 3332 3333 #if defined(PETSC_HAVE_ELEMENTAL) 3334 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 3335 { 3336 Mat mat_elemental; 3337 const PetscScalar *array; 3338 PetscScalar *v_colwise; 3339 PetscInt M = A->rmap->N, N = A->cmap->N, i, j, k, *rows, *cols; 3340 3341 PetscFunctionBegin; 3342 PetscCall(PetscMalloc3(M * N, &v_colwise, M, &rows, N, &cols)); 3343 PetscCall(MatDenseGetArrayRead(A, &array)); 3344 /* convert column-wise array into row-wise v_colwise, see MatSetValues_Elemental() */ 3345 k = 0; 3346 for (j = 0; j < N; j++) { 3347 cols[j] = j; 3348 for (i = 0; i < M; i++) v_colwise[j * M + i] = array[k++]; 3349 } 3350 for (i = 0; i < M; i++) rows[i] = i; 3351 PetscCall(MatDenseRestoreArrayRead(A, &array)); 3352 3353 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 3354 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, M, N)); 3355 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 3356 PetscCall(MatSetUp(mat_elemental)); 3357 3358 /* PETSc-Elemental interaface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 3359 PetscCall(MatSetValues(mat_elemental, M, rows, N, cols, v_colwise, ADD_VALUES)); 3360 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 3361 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 3362 PetscCall(PetscFree3(v_colwise, rows, cols)); 3363 3364 if (reuse == MAT_INPLACE_MATRIX) { 3365 PetscCall(MatHeaderReplace(A, &mat_elemental)); 3366 } else { 3367 *newmat = mat_elemental; 3368 } 3369 PetscFunctionReturn(PETSC_SUCCESS); 3370 } 3371 #endif 3372 3373 PetscErrorCode MatDenseSetLDA_SeqDense(Mat B, PetscInt lda) 3374 { 3375 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3376 PetscBool data; 3377 3378 PetscFunctionBegin; 3379 data = (B->rmap->n > 0 && B->cmap->n > 0) ? (b->v ? PETSC_TRUE : PETSC_FALSE) : PETSC_FALSE; 3380 PetscCheck(b->user_alloc || !data || b->lda == lda, PETSC_COMM_SELF, PETSC_ERR_ORDER, "LDA cannot be changed after allocation of internal storage"); 3381 PetscCheck(lda >= B->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "LDA %" PetscInt_FMT " must be at least matrix dimension %" PetscInt_FMT, lda, B->rmap->n); 3382 PetscCall(PetscBLASIntCast(lda, &b->lda)); 3383 PetscFunctionReturn(PETSC_SUCCESS); 3384 } 3385 3386 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 3387 { 3388 PetscFunctionBegin; 3389 PetscCall(MatCreateMPIMatConcatenateSeqMat_MPIDense(comm, inmat, n, scall, outmat)); 3390 PetscFunctionReturn(PETSC_SUCCESS); 3391 } 3392 3393 PetscErrorCode MatDenseCreateColumnVec_Private(Mat A, Vec *v) 3394 { 3395 PetscBool isstd, iskok, iscuda, iship; 3396 PetscMPIInt size; 3397 #if PetscDefined(HAVE_CUDA) || PetscDefined(HAVE_HIP) 3398 /* we pass the data of A, to prevent allocating needless GPU memory the first time VecCUPMPlaceArray is called. */ 3399 const PetscScalar *a; 3400 #endif 3401 3402 PetscFunctionBegin; 3403 *v = NULL; 3404 PetscCall(PetscStrcmpAny(A->defaultvectype, &isstd, VECSTANDARD, VECSEQ, VECMPI, "")); 3405 PetscCall(PetscStrcmpAny(A->defaultvectype, &iskok, VECKOKKOS, VECSEQKOKKOS, VECMPIKOKKOS, "")); 3406 PetscCall(PetscStrcmpAny(A->defaultvectype, &iscuda, VECCUDA, VECSEQCUDA, VECMPICUDA, "")); 3407 PetscCall(PetscStrcmpAny(A->defaultvectype, &iship, VECHIP, VECSEQHIP, VECMPIHIP, "")); 3408 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 3409 if (isstd) { 3410 if (size > 1) PetscCall(VecCreateMPIWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3411 else PetscCall(VecCreateSeqWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3412 } else if (iskok) { 3413 PetscCheck(PetscDefined(HAVE_KOKKOS_KERNELS), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using KOKKOS kernels support"); 3414 #if PetscDefined(HAVE_KOKKOS_KERNELS) 3415 if (size > 1) PetscCall(VecCreateMPIKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3416 else PetscCall(VecCreateSeqKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3417 #endif 3418 } else if (iscuda) { 3419 PetscCheck(PetscDefined(HAVE_CUDA), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using CUDA support"); 3420 #if PetscDefined(HAVE_CUDA) 3421 PetscCall(MatDenseCUDAGetArrayRead(A, &a)); 3422 if (size > 1) PetscCall(VecCreateMPICUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3423 else PetscCall(VecCreateSeqCUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3424 #endif 3425 } else if (iship) { 3426 PetscCheck(PetscDefined(HAVE_HIP), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using HIP support"); 3427 #if PetscDefined(HAVE_HIP) 3428 PetscCall(MatDenseHIPGetArrayRead(A, &a)); 3429 if (size > 1) PetscCall(VecCreateMPIHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3430 else PetscCall(VecCreateSeqHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3431 #endif 3432 } 3433 PetscCheck(*v, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not coded for type %s", A->defaultvectype); 3434 PetscFunctionReturn(PETSC_SUCCESS); 3435 } 3436 3437 PetscErrorCode MatDenseGetColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3438 { 3439 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3440 3441 PetscFunctionBegin; 3442 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3443 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3444 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3445 a->vecinuse = col + 1; 3446 PetscCall(MatDenseGetArray(A, (PetscScalar **)&a->ptrinuse)); 3447 PetscCall(VecPlaceArray(a->cvec, a->ptrinuse + (size_t)col * (size_t)a->lda)); 3448 *v = a->cvec; 3449 PetscFunctionReturn(PETSC_SUCCESS); 3450 } 3451 3452 PetscErrorCode MatDenseRestoreColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3453 { 3454 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3455 3456 PetscFunctionBegin; 3457 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3458 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3459 VecCheckAssembled(a->cvec); 3460 a->vecinuse = 0; 3461 PetscCall(MatDenseRestoreArray(A, (PetscScalar **)&a->ptrinuse)); 3462 PetscCall(VecResetArray(a->cvec)); 3463 if (v) *v = NULL; 3464 PetscFunctionReturn(PETSC_SUCCESS); 3465 } 3466 3467 PetscErrorCode MatDenseGetColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3468 { 3469 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3470 3471 PetscFunctionBegin; 3472 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3473 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3474 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3475 a->vecinuse = col + 1; 3476 PetscCall(MatDenseGetArrayRead(A, &a->ptrinuse)); 3477 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3478 PetscCall(VecLockReadPush(a->cvec)); 3479 *v = a->cvec; 3480 PetscFunctionReturn(PETSC_SUCCESS); 3481 } 3482 3483 PetscErrorCode MatDenseRestoreColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3484 { 3485 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3486 3487 PetscFunctionBegin; 3488 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3489 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3490 VecCheckAssembled(a->cvec); 3491 a->vecinuse = 0; 3492 PetscCall(MatDenseRestoreArrayRead(A, &a->ptrinuse)); 3493 PetscCall(VecLockReadPop(a->cvec)); 3494 PetscCall(VecResetArray(a->cvec)); 3495 if (v) *v = NULL; 3496 PetscFunctionReturn(PETSC_SUCCESS); 3497 } 3498 3499 PetscErrorCode MatDenseGetColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3500 { 3501 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3502 3503 PetscFunctionBegin; 3504 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3505 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3506 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3507 a->vecinuse = col + 1; 3508 PetscCall(MatDenseGetArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3509 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3510 *v = a->cvec; 3511 PetscFunctionReturn(PETSC_SUCCESS); 3512 } 3513 3514 PetscErrorCode MatDenseRestoreColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3515 { 3516 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3517 3518 PetscFunctionBegin; 3519 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3520 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3521 VecCheckAssembled(a->cvec); 3522 a->vecinuse = 0; 3523 PetscCall(MatDenseRestoreArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3524 PetscCall(VecResetArray(a->cvec)); 3525 if (v) *v = NULL; 3526 PetscFunctionReturn(PETSC_SUCCESS); 3527 } 3528 3529 PetscErrorCode MatDenseGetSubMatrix_SeqDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3530 { 3531 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3532 3533 PetscFunctionBegin; 3534 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3535 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3536 if (a->cmat && (cend - cbegin != a->cmat->cmap->N || rend - rbegin != a->cmat->rmap->N)) PetscCall(MatDestroy(&a->cmat)); 3537 if (!a->cmat) { 3538 PetscCall(MatCreateDense(PetscObjectComm((PetscObject)A), rend - rbegin, PETSC_DECIDE, rend - rbegin, cend - cbegin, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda), &a->cmat)); 3539 } else { 3540 PetscCall(MatDensePlaceArray(a->cmat, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda))); 3541 } 3542 PetscCall(MatDenseSetLDA(a->cmat, a->lda)); 3543 a->matinuse = cbegin + 1; 3544 *v = a->cmat; 3545 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3546 A->offloadmask = PETSC_OFFLOAD_CPU; 3547 #endif 3548 PetscFunctionReturn(PETSC_SUCCESS); 3549 } 3550 3551 PetscErrorCode MatDenseRestoreSubMatrix_SeqDense(Mat A, Mat *v) 3552 { 3553 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3554 3555 PetscFunctionBegin; 3556 PetscCheck(a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 3557 PetscCheck(a->cmat, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column matrix"); 3558 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 3559 a->matinuse = 0; 3560 PetscCall(MatDenseResetArray(a->cmat)); 3561 if (v) *v = NULL; 3562 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3563 A->offloadmask = PETSC_OFFLOAD_CPU; 3564 #endif 3565 PetscFunctionReturn(PETSC_SUCCESS); 3566 } 3567 3568 /*MC 3569 MATSEQDENSE - MATSEQDENSE = "seqdense" - A matrix type to be used for sequential dense matrices. 3570 3571 Options Database Key: 3572 . -mat_type seqdense - sets the matrix type to `MATSEQDENSE` during a call to `MatSetFromOptions()` 3573 3574 Level: beginner 3575 3576 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreateSeqDense()` 3577 M*/ 3578 PetscErrorCode MatCreate_SeqDense(Mat B) 3579 { 3580 Mat_SeqDense *b; 3581 PetscMPIInt size; 3582 3583 PetscFunctionBegin; 3584 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size)); 3585 PetscCheck(size <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Comm must be of size 1"); 3586 3587 PetscCall(PetscNew(&b)); 3588 B->data = (void *)b; 3589 B->ops[0] = MatOps_Values; 3590 3591 b->roworiented = PETSC_TRUE; 3592 3593 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatQRFactor_C", MatQRFactor_SeqDense)); 3594 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetLDA_C", MatDenseGetLDA_SeqDense)); 3595 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseSetLDA_C", MatDenseSetLDA_SeqDense)); 3596 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArray_C", MatDenseGetArray_SeqDense)); 3597 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArray_C", MatDenseRestoreArray_SeqDense)); 3598 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDensePlaceArray_C", MatDensePlaceArray_SeqDense)); 3599 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseResetArray_C", MatDenseResetArray_SeqDense)); 3600 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseReplaceArray_C", MatDenseReplaceArray_SeqDense)); 3601 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayRead_C", MatDenseGetArray_SeqDense)); 3602 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayRead_C", MatDenseRestoreArray_SeqDense)); 3603 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayWrite_C", MatDenseGetArray_SeqDense)); 3604 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArray_SeqDense)); 3605 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqaij_C", MatConvert_SeqDense_SeqAIJ)); 3606 #if defined(PETSC_HAVE_ELEMENTAL) 3607 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_elemental_C", MatConvert_SeqDense_Elemental)); 3608 #endif 3609 #if defined(PETSC_HAVE_SCALAPACK) 3610 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 3611 #endif 3612 #if defined(PETSC_HAVE_CUDA) 3613 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensecuda_C", MatConvert_SeqDense_SeqDenseCUDA)); 3614 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3615 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdense_C", MatProductSetFromOptions_SeqDense)); 3616 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3617 #endif 3618 #if defined(PETSC_HAVE_HIP) 3619 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensehip_C", MatConvert_SeqDense_SeqDenseHIP)); 3620 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3621 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdense_C", MatProductSetFromOptions_SeqDense)); 3622 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3623 #endif 3624 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqDenseSetPreallocation_C", MatSeqDenseSetPreallocation_SeqDense)); 3625 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqaij_seqdense_C", MatProductSetFromOptions_SeqAIJ_SeqDense)); 3626 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdense_C", MatProductSetFromOptions_SeqDense)); 3627 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3628 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqsbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3629 3630 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumn_C", MatDenseGetColumn_SeqDense)); 3631 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_SeqDense)); 3632 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_SeqDense)); 3633 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_SeqDense)); 3634 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_SeqDense)); 3635 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_SeqDense)); 3636 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_SeqDense)); 3637 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_SeqDense)); 3638 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_SeqDense)); 3639 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_SeqDense)); 3640 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultAddColumnRange_C", MatMultAddColumnRange_SeqDense)); 3641 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_SeqDense)); 3642 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_SeqDense)); 3643 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQDENSE)); 3644 PetscFunctionReturn(PETSC_SUCCESS); 3645 } 3646 3647 /*@C 3648 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. 3649 3650 Not Collective 3651 3652 Input Parameters: 3653 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3654 - col - column index 3655 3656 Output Parameter: 3657 . vals - pointer to the data 3658 3659 Level: intermediate 3660 3661 Note: 3662 Use `MatDenseGetColumnVec()` to get access to a column of a `MATDENSE` treated as a `Vec` 3663 3664 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreColumn()`, `MatDenseGetColumnVec()` 3665 @*/ 3666 PetscErrorCode MatDenseGetColumn(Mat A, PetscInt col, PetscScalar *vals[]) 3667 { 3668 PetscFunctionBegin; 3669 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3670 PetscValidLogicalCollectiveInt(A, col, 2); 3671 PetscAssertPointer(vals, 3); 3672 PetscUseMethod(A, "MatDenseGetColumn_C", (Mat, PetscInt, PetscScalar **), (A, col, vals)); 3673 PetscFunctionReturn(PETSC_SUCCESS); 3674 } 3675 3676 /*@C 3677 MatDenseRestoreColumn - returns access to a column of a `MATDENSE` matrix which is returned by `MatDenseGetColumn()`. 3678 3679 Not Collective 3680 3681 Input Parameters: 3682 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3683 - vals - pointer to the data (may be `NULL`) 3684 3685 Level: intermediate 3686 3687 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetColumn()` 3688 @*/ 3689 PetscErrorCode MatDenseRestoreColumn(Mat A, PetscScalar *vals[]) 3690 { 3691 PetscFunctionBegin; 3692 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3693 PetscAssertPointer(vals, 2); 3694 PetscUseMethod(A, "MatDenseRestoreColumn_C", (Mat, PetscScalar **), (A, vals)); 3695 PetscFunctionReturn(PETSC_SUCCESS); 3696 } 3697 3698 /*@ 3699 MatDenseGetColumnVec - Gives read-write access to a column of a `MATDENSE` matrix, represented as a `Vec`. 3700 3701 Collective 3702 3703 Input Parameters: 3704 + A - the `Mat` object 3705 - col - the column index 3706 3707 Output Parameter: 3708 . v - the vector 3709 3710 Level: intermediate 3711 3712 Notes: 3713 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVec()` when the vector is no longer needed. 3714 3715 Use `MatDenseGetColumnVecRead()` to obtain read-only access or `MatDenseGetColumnVecWrite()` for write-only access. 3716 3717 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()`, `MatDenseGetColumn()` 3718 @*/ 3719 PetscErrorCode MatDenseGetColumnVec(Mat A, PetscInt col, Vec *v) 3720 { 3721 PetscFunctionBegin; 3722 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3723 PetscValidType(A, 1); 3724 PetscValidLogicalCollectiveInt(A, col, 2); 3725 PetscAssertPointer(v, 3); 3726 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3727 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3728 PetscUseMethod(A, "MatDenseGetColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3729 PetscFunctionReturn(PETSC_SUCCESS); 3730 } 3731 3732 /*@ 3733 MatDenseRestoreColumnVec - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVec()`. 3734 3735 Collective 3736 3737 Input Parameters: 3738 + A - the `Mat` object 3739 . col - the column index 3740 - v - the `Vec` object (may be `NULL`) 3741 3742 Level: intermediate 3743 3744 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3745 @*/ 3746 PetscErrorCode MatDenseRestoreColumnVec(Mat A, PetscInt col, Vec *v) 3747 { 3748 PetscFunctionBegin; 3749 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3750 PetscValidType(A, 1); 3751 PetscValidLogicalCollectiveInt(A, col, 2); 3752 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3753 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3754 PetscUseMethod(A, "MatDenseRestoreColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3755 PetscFunctionReturn(PETSC_SUCCESS); 3756 } 3757 3758 /*@ 3759 MatDenseGetColumnVecRead - Gives read-only access to a column of a dense matrix, represented as a `Vec`. 3760 3761 Collective 3762 3763 Input Parameters: 3764 + A - the `Mat` object 3765 - col - the column index 3766 3767 Output Parameter: 3768 . v - the vector 3769 3770 Level: intermediate 3771 3772 Notes: 3773 The vector is owned by PETSc and users cannot modify it. 3774 3775 Users need to call `MatDenseRestoreColumnVecRead()` when the vector is no longer needed. 3776 3777 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecWrite()` for write-only access. 3778 3779 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3780 @*/ 3781 PetscErrorCode MatDenseGetColumnVecRead(Mat A, PetscInt col, Vec *v) 3782 { 3783 PetscFunctionBegin; 3784 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3785 PetscValidType(A, 1); 3786 PetscValidLogicalCollectiveInt(A, col, 2); 3787 PetscAssertPointer(v, 3); 3788 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3789 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3790 PetscUseMethod(A, "MatDenseGetColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3791 PetscFunctionReturn(PETSC_SUCCESS); 3792 } 3793 3794 /*@ 3795 MatDenseRestoreColumnVecRead - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecRead()`. 3796 3797 Collective 3798 3799 Input Parameters: 3800 + A - the `Mat` object 3801 . col - the column index 3802 - v - the `Vec` object (may be `NULL`) 3803 3804 Level: intermediate 3805 3806 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecWrite()` 3807 @*/ 3808 PetscErrorCode MatDenseRestoreColumnVecRead(Mat A, PetscInt col, Vec *v) 3809 { 3810 PetscFunctionBegin; 3811 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3812 PetscValidType(A, 1); 3813 PetscValidLogicalCollectiveInt(A, col, 2); 3814 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3815 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3816 PetscUseMethod(A, "MatDenseRestoreColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3817 PetscFunctionReturn(PETSC_SUCCESS); 3818 } 3819 3820 /*@ 3821 MatDenseGetColumnVecWrite - Gives write-only access to a column of a dense matrix, represented as a `Vec`. 3822 3823 Collective 3824 3825 Input Parameters: 3826 + A - the `Mat` object 3827 - col - the column index 3828 3829 Output Parameter: 3830 . v - the vector 3831 3832 Level: intermediate 3833 3834 Notes: 3835 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVecWrite()` when the vector is no longer needed. 3836 3837 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecRead()` for read-only access. 3838 3839 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3840 @*/ 3841 PetscErrorCode MatDenseGetColumnVecWrite(Mat A, PetscInt col, Vec *v) 3842 { 3843 PetscFunctionBegin; 3844 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3845 PetscValidType(A, 1); 3846 PetscValidLogicalCollectiveInt(A, col, 2); 3847 PetscAssertPointer(v, 3); 3848 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3849 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3850 PetscUseMethod(A, "MatDenseGetColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3851 PetscFunctionReturn(PETSC_SUCCESS); 3852 } 3853 3854 /*@ 3855 MatDenseRestoreColumnVecWrite - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecWrite()`. 3856 3857 Collective 3858 3859 Input Parameters: 3860 + A - the `Mat` object 3861 . col - the column index 3862 - v - the `Vec` object (may be `NULL`) 3863 3864 Level: intermediate 3865 3866 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()` 3867 @*/ 3868 PetscErrorCode MatDenseRestoreColumnVecWrite(Mat A, PetscInt col, Vec *v) 3869 { 3870 PetscFunctionBegin; 3871 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3872 PetscValidType(A, 1); 3873 PetscValidLogicalCollectiveInt(A, col, 2); 3874 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3875 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3876 PetscUseMethod(A, "MatDenseRestoreColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3877 PetscFunctionReturn(PETSC_SUCCESS); 3878 } 3879 3880 /*@ 3881 MatDenseGetSubMatrix - Gives access to a block of rows and columns of a dense matrix, represented as a `Mat`. 3882 3883 Collective 3884 3885 Input Parameters: 3886 + A - the `Mat` object 3887 . rbegin - the first global row index in the block (if `PETSC_DECIDE`, is 0) 3888 . rend - the global row index past the last one in the block (if `PETSC_DECIDE`, is `M`) 3889 . cbegin - the first global column index in the block (if `PETSC_DECIDE`, is 0) 3890 - cend - the global column index past the last one in the block (if `PETSC_DECIDE`, is `N`) 3891 3892 Output Parameter: 3893 . v - the matrix 3894 3895 Level: intermediate 3896 3897 Notes: 3898 The matrix is owned by PETSc. Users need to call `MatDenseRestoreSubMatrix()` when the matrix is no longer needed. 3899 3900 The output matrix is not redistributed by PETSc, so depending on the values of `rbegin` and `rend`, some processes may have no local rows. 3901 3902 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreSubMatrix()` 3903 @*/ 3904 PetscErrorCode MatDenseGetSubMatrix(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3905 { 3906 PetscFunctionBegin; 3907 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3908 PetscValidType(A, 1); 3909 PetscValidLogicalCollectiveInt(A, rbegin, 2); 3910 PetscValidLogicalCollectiveInt(A, rend, 3); 3911 PetscValidLogicalCollectiveInt(A, cbegin, 4); 3912 PetscValidLogicalCollectiveInt(A, cend, 5); 3913 PetscAssertPointer(v, 6); 3914 if (rbegin == PETSC_DECIDE) rbegin = 0; 3915 if (rend == PETSC_DECIDE) rend = A->rmap->N; 3916 if (cbegin == PETSC_DECIDE) cbegin = 0; 3917 if (cend == PETSC_DECIDE) cend = A->cmap->N; 3918 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3919 PetscCheck(rbegin >= 0 && rbegin <= A->rmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid rbegin %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT "]", rbegin, A->rmap->N); 3920 PetscCheck(rend >= rbegin && rend <= A->rmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid rend %" PetscInt_FMT ", should be in [%" PetscInt_FMT ",%" PetscInt_FMT "]", rend, rbegin, A->rmap->N); 3921 PetscCheck(cbegin >= 0 && cbegin <= A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid cbegin %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT "]", cbegin, A->cmap->N); 3922 PetscCheck(cend >= cbegin && cend <= A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid cend %" PetscInt_FMT ", should be in [%" PetscInt_FMT ",%" PetscInt_FMT "]", cend, cbegin, A->cmap->N); 3923 PetscUseMethod(A, "MatDenseGetSubMatrix_C", (Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *), (A, rbegin, rend, cbegin, cend, v)); 3924 PetscFunctionReturn(PETSC_SUCCESS); 3925 } 3926 3927 /*@ 3928 MatDenseRestoreSubMatrix - Returns access to a block of columns of a dense matrix obtained from `MatDenseGetSubMatrix()`. 3929 3930 Collective 3931 3932 Input Parameters: 3933 + A - the `Mat` object 3934 - v - the `Mat` object (may be `NULL`) 3935 3936 Level: intermediate 3937 3938 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseGetSubMatrix()` 3939 @*/ 3940 PetscErrorCode MatDenseRestoreSubMatrix(Mat A, Mat *v) 3941 { 3942 PetscFunctionBegin; 3943 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3944 PetscValidType(A, 1); 3945 PetscAssertPointer(v, 2); 3946 PetscUseMethod(A, "MatDenseRestoreSubMatrix_C", (Mat, Mat *), (A, v)); 3947 PetscFunctionReturn(PETSC_SUCCESS); 3948 } 3949 3950 #include <petscblaslapack.h> 3951 #include <petsc/private/kernels/blockinvert.h> 3952 3953 PetscErrorCode MatSeqDenseInvert(Mat A) 3954 { 3955 PetscInt m; 3956 const PetscReal shift = 0.0; 3957 PetscBool allowzeropivot, zeropivotdetected = PETSC_FALSE; 3958 PetscScalar *values; 3959 3960 PetscFunctionBegin; 3961 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3962 PetscCall(MatDenseGetArray(A, &values)); 3963 PetscCall(MatGetLocalSize(A, &m, NULL)); 3964 allowzeropivot = PetscNot(A->erroriffailure); 3965 /* factor and invert each block */ 3966 switch (m) { 3967 case 1: 3968 values[0] = (PetscScalar)1.0 / (values[0] + shift); 3969 break; 3970 case 2: 3971 PetscCall(PetscKernel_A_gets_inverse_A_2(values, shift, allowzeropivot, &zeropivotdetected)); 3972 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3973 break; 3974 case 3: 3975 PetscCall(PetscKernel_A_gets_inverse_A_3(values, shift, allowzeropivot, &zeropivotdetected)); 3976 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3977 break; 3978 case 4: 3979 PetscCall(PetscKernel_A_gets_inverse_A_4(values, shift, allowzeropivot, &zeropivotdetected)); 3980 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3981 break; 3982 case 5: { 3983 PetscScalar work[25]; 3984 PetscInt ipvt[5]; 3985 3986 PetscCall(PetscKernel_A_gets_inverse_A_5(values, ipvt, work, shift, allowzeropivot, &zeropivotdetected)); 3987 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3988 } break; 3989 case 6: 3990 PetscCall(PetscKernel_A_gets_inverse_A_6(values, shift, allowzeropivot, &zeropivotdetected)); 3991 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3992 break; 3993 case 7: 3994 PetscCall(PetscKernel_A_gets_inverse_A_7(values, shift, allowzeropivot, &zeropivotdetected)); 3995 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3996 break; 3997 default: { 3998 PetscInt *v_pivots, *IJ, j; 3999 PetscScalar *v_work; 4000 4001 PetscCall(PetscMalloc3(m, &v_work, m, &v_pivots, m, &IJ)); 4002 for (j = 0; j < m; j++) IJ[j] = j; 4003 PetscCall(PetscKernel_A_gets_inverse_A(m, values, v_pivots, v_work, allowzeropivot, &zeropivotdetected)); 4004 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4005 PetscCall(PetscFree3(v_work, v_pivots, IJ)); 4006 } 4007 } 4008 PetscCall(MatDenseRestoreArray(A, &values)); 4009 PetscFunctionReturn(PETSC_SUCCESS); 4010 } 4011