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] + omega * (xt + v[i + i * m] * x[i]) / (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] + omega * (xt + v[i + i * m] * x[i]) / (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 Fortran Notes: 2173 `MatDenseGetArray()` Fortran binding is deprecated (since PETSc 3.19), use `MatDenseGetArrayF90()` 2174 2175 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2176 @*/ 2177 PetscErrorCode MatDenseGetArray(Mat A, PetscScalar *array[]) 2178 { 2179 PetscFunctionBegin; 2180 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2181 PetscAssertPointer(array, 2); 2182 PetscUseMethod(A, "MatDenseGetArray_C", (Mat, PetscScalar **), (A, array)); 2183 PetscFunctionReturn(PETSC_SUCCESS); 2184 } 2185 2186 /*@C 2187 MatDenseRestoreArray - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArray()` 2188 2189 Logically Collective 2190 2191 Input Parameters: 2192 + A - a dense matrix 2193 - array - pointer to the data (may be `NULL`) 2194 2195 Level: intermediate 2196 2197 Fortran Notes: 2198 `MatDenseRestoreArray()` Fortran binding is deprecated (since PETSc 3.19), use `MatDenseRestoreArrayF90()` 2199 2200 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2201 @*/ 2202 PetscErrorCode MatDenseRestoreArray(Mat A, PetscScalar *array[]) 2203 { 2204 PetscFunctionBegin; 2205 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2206 if (array) PetscAssertPointer(array, 2); 2207 PetscUseMethod(A, "MatDenseRestoreArray_C", (Mat, PetscScalar **), (A, array)); 2208 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2209 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 2210 A->offloadmask = PETSC_OFFLOAD_CPU; 2211 #endif 2212 PetscFunctionReturn(PETSC_SUCCESS); 2213 } 2214 2215 /*@C 2216 MatDenseGetArrayRead - gives read-only access to the array where the data for a `MATDENSE` matrix is stored 2217 2218 Not Collective 2219 2220 Input Parameter: 2221 . A - a dense matrix 2222 2223 Output Parameter: 2224 . array - pointer to the data 2225 2226 Level: intermediate 2227 2228 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayRead()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2229 @*/ 2230 PetscErrorCode MatDenseGetArrayRead(Mat A, const PetscScalar *array[]) 2231 { 2232 PetscFunctionBegin; 2233 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2234 PetscAssertPointer(array, 2); 2235 PetscUseMethod(A, "MatDenseGetArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2236 PetscFunctionReturn(PETSC_SUCCESS); 2237 } 2238 2239 /*@C 2240 MatDenseRestoreArrayRead - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArrayRead()` 2241 2242 Not Collective 2243 2244 Input Parameters: 2245 + A - a dense matrix 2246 - array - pointer to the data (may be `NULL`) 2247 2248 Level: intermediate 2249 2250 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayRead()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2251 @*/ 2252 PetscErrorCode MatDenseRestoreArrayRead(Mat A, const PetscScalar *array[]) 2253 { 2254 PetscFunctionBegin; 2255 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2256 if (array) PetscAssertPointer(array, 2); 2257 PetscUseMethod(A, "MatDenseRestoreArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2258 PetscFunctionReturn(PETSC_SUCCESS); 2259 } 2260 2261 /*@C 2262 MatDenseGetArrayWrite - gives write-only access to the array where the data for a `MATDENSE` matrix is stored 2263 2264 Not Collective 2265 2266 Input Parameter: 2267 . A - a dense matrix 2268 2269 Output Parameter: 2270 . array - pointer to the data 2271 2272 Level: intermediate 2273 2274 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayWrite()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()` 2275 @*/ 2276 PetscErrorCode MatDenseGetArrayWrite(Mat A, PetscScalar *array[]) 2277 { 2278 PetscFunctionBegin; 2279 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2280 PetscAssertPointer(array, 2); 2281 PetscUseMethod(A, "MatDenseGetArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2282 PetscFunctionReturn(PETSC_SUCCESS); 2283 } 2284 2285 /*@C 2286 MatDenseRestoreArrayWrite - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArrayWrite()` 2287 2288 Not Collective 2289 2290 Input Parameters: 2291 + A - a dense matrix 2292 - array - pointer to the data (may be `NULL`) 2293 2294 Level: intermediate 2295 2296 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayWrite()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()` 2297 @*/ 2298 PetscErrorCode MatDenseRestoreArrayWrite(Mat A, PetscScalar *array[]) 2299 { 2300 PetscFunctionBegin; 2301 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2302 if (array) PetscAssertPointer(array, 2); 2303 PetscUseMethod(A, "MatDenseRestoreArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2304 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2305 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 2306 A->offloadmask = PETSC_OFFLOAD_CPU; 2307 #endif 2308 PetscFunctionReturn(PETSC_SUCCESS); 2309 } 2310 2311 /*@C 2312 MatDenseGetArrayAndMemType - gives read-write access to the array where the data for a `MATDENSE` matrix is stored 2313 2314 Logically Collective 2315 2316 Input Parameter: 2317 . A - a dense matrix 2318 2319 Output Parameters: 2320 + array - pointer to the data 2321 - mtype - memory type of the returned pointer 2322 2323 Level: intermediate 2324 2325 Note: 2326 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2327 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2328 2329 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayAndMemType()`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArrayWriteAndMemType()`, `MatDenseGetArrayRead()`, 2330 `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2331 @*/ 2332 PetscErrorCode MatDenseGetArrayAndMemType(Mat A, PetscScalar *array[], PetscMemType *mtype) 2333 { 2334 PetscBool isMPI; 2335 2336 PetscFunctionBegin; 2337 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2338 PetscAssertPointer(array, 2); 2339 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 */ 2340 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2341 if (isMPI) { 2342 /* Dispatch here so that the code can be reused for all subclasses of MATDENSE */ 2343 PetscCall(MatDenseGetArrayAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2344 } else { 2345 PetscErrorCode (*fptr)(Mat, PetscScalar **, PetscMemType *); 2346 2347 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayAndMemType_C", &fptr)); 2348 if (fptr) { 2349 PetscCall((*fptr)(A, array, mtype)); 2350 } else { 2351 PetscUseMethod(A, "MatDenseGetArray_C", (Mat, PetscScalar **), (A, array)); 2352 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2353 } 2354 } 2355 PetscFunctionReturn(PETSC_SUCCESS); 2356 } 2357 2358 /*@C 2359 MatDenseRestoreArrayAndMemType - returns access to the array that is obtained by `MatDenseGetArrayAndMemType()` 2360 2361 Logically Collective 2362 2363 Input Parameters: 2364 + A - a dense matrix 2365 - array - pointer to the data 2366 2367 Level: intermediate 2368 2369 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2370 @*/ 2371 PetscErrorCode MatDenseRestoreArrayAndMemType(Mat A, PetscScalar *array[]) 2372 { 2373 PetscBool isMPI; 2374 2375 PetscFunctionBegin; 2376 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2377 PetscAssertPointer(array, 2); 2378 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2379 if (isMPI) { 2380 PetscCall(MatDenseRestoreArrayAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2381 } else { 2382 PetscErrorCode (*fptr)(Mat, PetscScalar **); 2383 2384 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayAndMemType_C", &fptr)); 2385 if (fptr) { 2386 PetscCall((*fptr)(A, array)); 2387 } else { 2388 PetscUseMethod(A, "MatDenseRestoreArray_C", (Mat, PetscScalar **), (A, array)); 2389 } 2390 *array = NULL; 2391 } 2392 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2393 PetscFunctionReturn(PETSC_SUCCESS); 2394 } 2395 2396 /*@C 2397 MatDenseGetArrayReadAndMemType - gives read-only access to the array where the data for a `MATDENSE` matrix is stored 2398 2399 Logically Collective 2400 2401 Input Parameter: 2402 . A - a dense matrix 2403 2404 Output Parameters: 2405 + array - pointer to the data 2406 - mtype - memory type of the returned pointer 2407 2408 Level: intermediate 2409 2410 Note: 2411 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2412 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2413 2414 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayReadAndMemType()`, `MatDenseGetArrayWriteAndMemType()`, 2415 `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2416 @*/ 2417 PetscErrorCode MatDenseGetArrayReadAndMemType(Mat A, const PetscScalar *array[], PetscMemType *mtype) 2418 { 2419 PetscBool isMPI; 2420 2421 PetscFunctionBegin; 2422 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2423 PetscAssertPointer(array, 2); 2424 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 */ 2425 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2426 if (isMPI) { /* Dispatch here so that the code can be reused for all subclasses of MATDENSE */ 2427 PetscCall(MatDenseGetArrayReadAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2428 } else { 2429 PetscErrorCode (*fptr)(Mat, const PetscScalar **, PetscMemType *); 2430 2431 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayReadAndMemType_C", &fptr)); 2432 if (fptr) { 2433 PetscCall((*fptr)(A, array, mtype)); 2434 } else { 2435 PetscUseMethod(A, "MatDenseGetArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2436 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2437 } 2438 } 2439 PetscFunctionReturn(PETSC_SUCCESS); 2440 } 2441 2442 /*@C 2443 MatDenseRestoreArrayReadAndMemType - returns access to the array that is obtained by `MatDenseGetArrayReadAndMemType()` 2444 2445 Logically Collective 2446 2447 Input Parameters: 2448 + A - a dense matrix 2449 - array - pointer to the data 2450 2451 Level: intermediate 2452 2453 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2454 @*/ 2455 PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat A, const PetscScalar *array[]) 2456 { 2457 PetscBool isMPI; 2458 2459 PetscFunctionBegin; 2460 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2461 PetscAssertPointer(array, 2); 2462 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2463 if (isMPI) { 2464 PetscCall(MatDenseRestoreArrayReadAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2465 } else { 2466 PetscErrorCode (*fptr)(Mat, const PetscScalar **); 2467 2468 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayReadAndMemType_C", &fptr)); 2469 if (fptr) { 2470 PetscCall((*fptr)(A, array)); 2471 } else { 2472 PetscUseMethod(A, "MatDenseRestoreArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2473 } 2474 *array = NULL; 2475 } 2476 PetscFunctionReturn(PETSC_SUCCESS); 2477 } 2478 2479 /*@C 2480 MatDenseGetArrayWriteAndMemType - gives write-only access to the array where the data for a `MATDENSE` matrix is stored 2481 2482 Logically Collective 2483 2484 Input Parameter: 2485 . A - a dense matrix 2486 2487 Output Parameters: 2488 + array - pointer to the data 2489 - mtype - memory type of the returned pointer 2490 2491 Level: intermediate 2492 2493 Note: 2494 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2495 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2496 2497 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayWriteAndMemType()`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArrayRead()`, 2498 `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2499 @*/ 2500 PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat A, PetscScalar *array[], PetscMemType *mtype) 2501 { 2502 PetscBool isMPI; 2503 2504 PetscFunctionBegin; 2505 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2506 PetscAssertPointer(array, 2); 2507 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 */ 2508 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2509 if (isMPI) { 2510 PetscCall(MatDenseGetArrayWriteAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2511 } else { 2512 PetscErrorCode (*fptr)(Mat, PetscScalar **, PetscMemType *); 2513 2514 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayWriteAndMemType_C", &fptr)); 2515 if (fptr) { 2516 PetscCall((*fptr)(A, array, mtype)); 2517 } else { 2518 PetscUseMethod(A, "MatDenseGetArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2519 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2520 } 2521 } 2522 PetscFunctionReturn(PETSC_SUCCESS); 2523 } 2524 2525 /*@C 2526 MatDenseRestoreArrayWriteAndMemType - returns access to the array that is obtained by `MatDenseGetArrayReadAndMemType()` 2527 2528 Logically Collective 2529 2530 Input Parameters: 2531 + A - a dense matrix 2532 - array - pointer to the data 2533 2534 Level: intermediate 2535 2536 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayWriteAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2537 @*/ 2538 PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat A, PetscScalar *array[]) 2539 { 2540 PetscBool isMPI; 2541 2542 PetscFunctionBegin; 2543 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2544 PetscAssertPointer(array, 2); 2545 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2546 if (isMPI) { 2547 PetscCall(MatDenseRestoreArrayWriteAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2548 } else { 2549 PetscErrorCode (*fptr)(Mat, PetscScalar **); 2550 2551 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayWriteAndMemType_C", &fptr)); 2552 if (fptr) { 2553 PetscCall((*fptr)(A, array)); 2554 } else { 2555 PetscUseMethod(A, "MatDenseRestoreArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2556 } 2557 *array = NULL; 2558 } 2559 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2560 PetscFunctionReturn(PETSC_SUCCESS); 2561 } 2562 2563 static PetscErrorCode MatCreateSubMatrix_SeqDense(Mat A, IS isrow, IS iscol, MatReuse scall, Mat *B) 2564 { 2565 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2566 PetscInt i, j, nrows, ncols, ldb; 2567 const PetscInt *irow, *icol; 2568 PetscScalar *av, *bv, *v = mat->v; 2569 Mat newmat; 2570 2571 PetscFunctionBegin; 2572 PetscCall(ISGetIndices(isrow, &irow)); 2573 PetscCall(ISGetIndices(iscol, &icol)); 2574 PetscCall(ISGetLocalSize(isrow, &nrows)); 2575 PetscCall(ISGetLocalSize(iscol, &ncols)); 2576 2577 /* Check submatrixcall */ 2578 if (scall == MAT_REUSE_MATRIX) { 2579 PetscInt n_cols, n_rows; 2580 PetscCall(MatGetSize(*B, &n_rows, &n_cols)); 2581 if (n_rows != nrows || n_cols != ncols) { 2582 /* resize the result matrix to match number of requested rows/columns */ 2583 PetscCall(MatSetSizes(*B, nrows, ncols, nrows, ncols)); 2584 } 2585 newmat = *B; 2586 } else { 2587 /* Create and fill new matrix */ 2588 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &newmat)); 2589 PetscCall(MatSetSizes(newmat, nrows, ncols, nrows, ncols)); 2590 PetscCall(MatSetType(newmat, ((PetscObject)A)->type_name)); 2591 PetscCall(MatSeqDenseSetPreallocation(newmat, NULL)); 2592 } 2593 2594 /* Now extract the data pointers and do the copy,column at a time */ 2595 PetscCall(MatDenseGetArray(newmat, &bv)); 2596 PetscCall(MatDenseGetLDA(newmat, &ldb)); 2597 for (i = 0; i < ncols; i++) { 2598 av = v + mat->lda * icol[i]; 2599 for (j = 0; j < nrows; j++) bv[j] = av[irow[j]]; 2600 bv += ldb; 2601 } 2602 PetscCall(MatDenseRestoreArray(newmat, &bv)); 2603 2604 /* Assemble the matrices so that the correct flags are set */ 2605 PetscCall(MatAssemblyBegin(newmat, MAT_FINAL_ASSEMBLY)); 2606 PetscCall(MatAssemblyEnd(newmat, MAT_FINAL_ASSEMBLY)); 2607 2608 /* Free work space */ 2609 PetscCall(ISRestoreIndices(isrow, &irow)); 2610 PetscCall(ISRestoreIndices(iscol, &icol)); 2611 *B = newmat; 2612 PetscFunctionReturn(PETSC_SUCCESS); 2613 } 2614 2615 static PetscErrorCode MatCreateSubMatrices_SeqDense(Mat A, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *B[]) 2616 { 2617 PetscInt i; 2618 2619 PetscFunctionBegin; 2620 if (scall == MAT_INITIAL_MATRIX) PetscCall(PetscCalloc1(n, B)); 2621 2622 for (i = 0; i < n; i++) PetscCall(MatCreateSubMatrix_SeqDense(A, irow[i], icol[i], scall, &(*B)[i])); 2623 PetscFunctionReturn(PETSC_SUCCESS); 2624 } 2625 2626 PetscErrorCode MatCopy_SeqDense(Mat A, Mat B, MatStructure str) 2627 { 2628 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data; 2629 const PetscScalar *va; 2630 PetscScalar *vb; 2631 PetscInt lda1 = a->lda, lda2 = b->lda, m = A->rmap->n, n = A->cmap->n, j; 2632 2633 PetscFunctionBegin; 2634 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 2635 if (A->ops->copy != B->ops->copy) { 2636 PetscCall(MatCopy_Basic(A, B, str)); 2637 PetscFunctionReturn(PETSC_SUCCESS); 2638 } 2639 PetscCheck(m == B->rmap->n && n == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "size(B) != size(A)"); 2640 PetscCall(MatDenseGetArrayRead(A, &va)); 2641 PetscCall(MatDenseGetArray(B, &vb)); 2642 if (lda1 > m || lda2 > m) { 2643 for (j = 0; j < n; j++) PetscCall(PetscArraycpy(vb + j * lda2, va + j * lda1, m)); 2644 } else { 2645 PetscCall(PetscArraycpy(vb, va, A->rmap->n * A->cmap->n)); 2646 } 2647 PetscCall(MatDenseRestoreArray(B, &vb)); 2648 PetscCall(MatDenseRestoreArrayRead(A, &va)); 2649 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 2650 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 2651 PetscFunctionReturn(PETSC_SUCCESS); 2652 } 2653 2654 PetscErrorCode MatSetUp_SeqDense(Mat A) 2655 { 2656 PetscFunctionBegin; 2657 PetscCall(PetscLayoutSetUp(A->rmap)); 2658 PetscCall(PetscLayoutSetUp(A->cmap)); 2659 if (!A->preallocated) PetscCall(MatSeqDenseSetPreallocation(A, NULL)); 2660 PetscFunctionReturn(PETSC_SUCCESS); 2661 } 2662 2663 static PetscErrorCode MatConjugate_SeqDense(Mat A) 2664 { 2665 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2666 PetscInt i, j; 2667 PetscInt min = PetscMin(A->rmap->n, A->cmap->n); 2668 PetscScalar *aa; 2669 2670 PetscFunctionBegin; 2671 PetscCall(MatDenseGetArray(A, &aa)); 2672 for (j = 0; j < A->cmap->n; j++) { 2673 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscConj(aa[i + j * mat->lda]); 2674 } 2675 PetscCall(MatDenseRestoreArray(A, &aa)); 2676 if (mat->tau) 2677 for (i = 0; i < min; i++) mat->tau[i] = PetscConj(mat->tau[i]); 2678 PetscFunctionReturn(PETSC_SUCCESS); 2679 } 2680 2681 static PetscErrorCode MatRealPart_SeqDense(Mat A) 2682 { 2683 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2684 PetscInt i, j; 2685 PetscScalar *aa; 2686 2687 PetscFunctionBegin; 2688 PetscCall(MatDenseGetArray(A, &aa)); 2689 for (j = 0; j < A->cmap->n; j++) { 2690 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscRealPart(aa[i + j * mat->lda]); 2691 } 2692 PetscCall(MatDenseRestoreArray(A, &aa)); 2693 PetscFunctionReturn(PETSC_SUCCESS); 2694 } 2695 2696 static PetscErrorCode MatImaginaryPart_SeqDense(Mat A) 2697 { 2698 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2699 PetscInt i, j; 2700 PetscScalar *aa; 2701 2702 PetscFunctionBegin; 2703 PetscCall(MatDenseGetArray(A, &aa)); 2704 for (j = 0; j < A->cmap->n; j++) { 2705 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscImaginaryPart(aa[i + j * mat->lda]); 2706 } 2707 PetscCall(MatDenseRestoreArray(A, &aa)); 2708 PetscFunctionReturn(PETSC_SUCCESS); 2709 } 2710 2711 PetscErrorCode MatMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2712 { 2713 PetscInt m = A->rmap->n, n = B->cmap->n; 2714 PetscBool cisdense = PETSC_FALSE; 2715 2716 PetscFunctionBegin; 2717 PetscCall(MatSetSizes(C, m, n, m, n)); 2718 #if defined(PETSC_HAVE_CUDA) 2719 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2720 #endif 2721 #if defined(PETSC_HAVE_HIP) 2722 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2723 #endif 2724 if (!cisdense) { 2725 PetscBool flg; 2726 2727 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2728 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2729 } 2730 PetscCall(MatSetUp(C)); 2731 PetscFunctionReturn(PETSC_SUCCESS); 2732 } 2733 2734 PetscErrorCode MatMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2735 { 2736 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data, *c = (Mat_SeqDense *)C->data; 2737 PetscBLASInt m, n, k; 2738 const PetscScalar *av, *bv; 2739 PetscScalar *cv; 2740 PetscScalar _DOne = 1.0, _DZero = 0.0; 2741 2742 PetscFunctionBegin; 2743 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2744 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2745 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2746 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2747 PetscCall(MatDenseGetArrayRead(A, &av)); 2748 PetscCall(MatDenseGetArrayRead(B, &bv)); 2749 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2750 PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2751 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2752 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2753 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2754 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2755 PetscFunctionReturn(PETSC_SUCCESS); 2756 } 2757 2758 PetscErrorCode MatMatTransposeMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2759 { 2760 PetscInt m = A->rmap->n, n = B->rmap->n; 2761 PetscBool cisdense = PETSC_FALSE; 2762 2763 PetscFunctionBegin; 2764 PetscCall(MatSetSizes(C, m, n, m, n)); 2765 #if defined(PETSC_HAVE_CUDA) 2766 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2767 #endif 2768 #if defined(PETSC_HAVE_HIP) 2769 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2770 #endif 2771 if (!cisdense) { 2772 PetscBool flg; 2773 2774 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2775 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2776 } 2777 PetscCall(MatSetUp(C)); 2778 PetscFunctionReturn(PETSC_SUCCESS); 2779 } 2780 2781 PetscErrorCode MatMatTransposeMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2782 { 2783 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2784 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2785 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2786 const PetscScalar *av, *bv; 2787 PetscScalar *cv; 2788 PetscBLASInt m, n, k; 2789 PetscScalar _DOne = 1.0, _DZero = 0.0; 2790 2791 PetscFunctionBegin; 2792 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2793 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2794 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2795 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2796 PetscCall(MatDenseGetArrayRead(A, &av)); 2797 PetscCall(MatDenseGetArrayRead(B, &bv)); 2798 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2799 PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2800 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2801 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2802 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2803 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2804 PetscFunctionReturn(PETSC_SUCCESS); 2805 } 2806 2807 PetscErrorCode MatTransposeMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2808 { 2809 PetscInt m = A->cmap->n, n = B->cmap->n; 2810 PetscBool cisdense = PETSC_FALSE; 2811 2812 PetscFunctionBegin; 2813 PetscCall(MatSetSizes(C, m, n, m, n)); 2814 #if defined(PETSC_HAVE_CUDA) 2815 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2816 #endif 2817 #if defined(PETSC_HAVE_HIP) 2818 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2819 #endif 2820 if (!cisdense) { 2821 PetscBool flg; 2822 2823 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2824 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2825 } 2826 PetscCall(MatSetUp(C)); 2827 PetscFunctionReturn(PETSC_SUCCESS); 2828 } 2829 2830 PetscErrorCode MatTransposeMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2831 { 2832 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2833 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2834 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2835 const PetscScalar *av, *bv; 2836 PetscScalar *cv; 2837 PetscBLASInt m, n, k; 2838 PetscScalar _DOne = 1.0, _DZero = 0.0; 2839 2840 PetscFunctionBegin; 2841 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2842 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2843 PetscCall(PetscBLASIntCast(A->rmap->n, &k)); 2844 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2845 PetscCall(MatDenseGetArrayRead(A, &av)); 2846 PetscCall(MatDenseGetArrayRead(B, &bv)); 2847 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2848 PetscCallBLAS("BLASgemm", BLASgemm_("T", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2849 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2850 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2851 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2852 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2853 PetscFunctionReturn(PETSC_SUCCESS); 2854 } 2855 2856 static PetscErrorCode MatProductSetFromOptions_SeqDense_AB(Mat C) 2857 { 2858 PetscFunctionBegin; 2859 C->ops->matmultsymbolic = MatMatMultSymbolic_SeqDense_SeqDense; 2860 C->ops->productsymbolic = MatProductSymbolic_AB; 2861 PetscFunctionReturn(PETSC_SUCCESS); 2862 } 2863 2864 static PetscErrorCode MatProductSetFromOptions_SeqDense_AtB(Mat C) 2865 { 2866 PetscFunctionBegin; 2867 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_SeqDense_SeqDense; 2868 C->ops->productsymbolic = MatProductSymbolic_AtB; 2869 PetscFunctionReturn(PETSC_SUCCESS); 2870 } 2871 2872 static PetscErrorCode MatProductSetFromOptions_SeqDense_ABt(Mat C) 2873 { 2874 PetscFunctionBegin; 2875 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_SeqDense_SeqDense; 2876 C->ops->productsymbolic = MatProductSymbolic_ABt; 2877 PetscFunctionReturn(PETSC_SUCCESS); 2878 } 2879 2880 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_SeqDense(Mat C) 2881 { 2882 Mat_Product *product = C->product; 2883 2884 PetscFunctionBegin; 2885 switch (product->type) { 2886 case MATPRODUCT_AB: 2887 PetscCall(MatProductSetFromOptions_SeqDense_AB(C)); 2888 break; 2889 case MATPRODUCT_AtB: 2890 PetscCall(MatProductSetFromOptions_SeqDense_AtB(C)); 2891 break; 2892 case MATPRODUCT_ABt: 2893 PetscCall(MatProductSetFromOptions_SeqDense_ABt(C)); 2894 break; 2895 default: 2896 break; 2897 } 2898 PetscFunctionReturn(PETSC_SUCCESS); 2899 } 2900 2901 static PetscErrorCode MatGetRowMax_SeqDense(Mat A, Vec v, PetscInt idx[]) 2902 { 2903 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2904 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2905 PetscScalar *x; 2906 const PetscScalar *aa; 2907 2908 PetscFunctionBegin; 2909 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2910 PetscCall(VecGetArray(v, &x)); 2911 PetscCall(VecGetLocalSize(v, &p)); 2912 PetscCall(MatDenseGetArrayRead(A, &aa)); 2913 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2914 for (i = 0; i < m; i++) { 2915 x[i] = aa[i]; 2916 if (idx) idx[i] = 0; 2917 for (j = 1; j < n; j++) { 2918 if (PetscRealPart(x[i]) < PetscRealPart(aa[i + a->lda * j])) { 2919 x[i] = aa[i + a->lda * j]; 2920 if (idx) idx[i] = j; 2921 } 2922 } 2923 } 2924 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2925 PetscCall(VecRestoreArray(v, &x)); 2926 PetscFunctionReturn(PETSC_SUCCESS); 2927 } 2928 2929 static PetscErrorCode MatGetRowMaxAbs_SeqDense(Mat A, Vec v, PetscInt idx[]) 2930 { 2931 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2932 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2933 PetscScalar *x; 2934 PetscReal atmp; 2935 const PetscScalar *aa; 2936 2937 PetscFunctionBegin; 2938 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2939 PetscCall(VecGetArray(v, &x)); 2940 PetscCall(VecGetLocalSize(v, &p)); 2941 PetscCall(MatDenseGetArrayRead(A, &aa)); 2942 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2943 for (i = 0; i < m; i++) { 2944 x[i] = PetscAbsScalar(aa[i]); 2945 for (j = 1; j < n; j++) { 2946 atmp = PetscAbsScalar(aa[i + a->lda * j]); 2947 if (PetscAbsScalar(x[i]) < atmp) { 2948 x[i] = atmp; 2949 if (idx) idx[i] = j; 2950 } 2951 } 2952 } 2953 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2954 PetscCall(VecRestoreArray(v, &x)); 2955 PetscFunctionReturn(PETSC_SUCCESS); 2956 } 2957 2958 static PetscErrorCode MatGetRowMin_SeqDense(Mat A, Vec v, PetscInt idx[]) 2959 { 2960 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2961 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2962 PetscScalar *x; 2963 const PetscScalar *aa; 2964 2965 PetscFunctionBegin; 2966 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2967 PetscCall(MatDenseGetArrayRead(A, &aa)); 2968 PetscCall(VecGetArray(v, &x)); 2969 PetscCall(VecGetLocalSize(v, &p)); 2970 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2971 for (i = 0; i < m; i++) { 2972 x[i] = aa[i]; 2973 if (idx) idx[i] = 0; 2974 for (j = 1; j < n; j++) { 2975 if (PetscRealPart(x[i]) > PetscRealPart(aa[i + a->lda * j])) { 2976 x[i] = aa[i + a->lda * j]; 2977 if (idx) idx[i] = j; 2978 } 2979 } 2980 } 2981 PetscCall(VecRestoreArray(v, &x)); 2982 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2983 PetscFunctionReturn(PETSC_SUCCESS); 2984 } 2985 2986 PetscErrorCode MatGetColumnVector_SeqDense(Mat A, Vec v, PetscInt col) 2987 { 2988 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2989 PetscScalar *x; 2990 const PetscScalar *aa; 2991 2992 PetscFunctionBegin; 2993 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2994 PetscCall(MatDenseGetArrayRead(A, &aa)); 2995 PetscCall(VecGetArray(v, &x)); 2996 PetscCall(PetscArraycpy(x, aa + col * a->lda, A->rmap->n)); 2997 PetscCall(VecRestoreArray(v, &x)); 2998 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2999 PetscFunctionReturn(PETSC_SUCCESS); 3000 } 3001 3002 PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat A, PetscInt type, PetscReal *reductions) 3003 { 3004 PetscInt i, j, m, n; 3005 const PetscScalar *a; 3006 3007 PetscFunctionBegin; 3008 PetscCall(MatGetSize(A, &m, &n)); 3009 PetscCall(PetscArrayzero(reductions, n)); 3010 PetscCall(MatDenseGetArrayRead(A, &a)); 3011 if (type == NORM_2) { 3012 for (i = 0; i < n; i++) { 3013 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j] * a[j]); 3014 a = PetscSafePointerPlusOffset(a, m); 3015 } 3016 } else if (type == NORM_1) { 3017 for (i = 0; i < n; i++) { 3018 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j]); 3019 a = PetscSafePointerPlusOffset(a, m); 3020 } 3021 } else if (type == NORM_INFINITY) { 3022 for (i = 0; i < n; i++) { 3023 for (j = 0; j < m; j++) reductions[i] = PetscMax(PetscAbsScalar(a[j]), reductions[i]); 3024 a = PetscSafePointerPlusOffset(a, m); 3025 } 3026 } else if (type == REDUCTION_SUM_REALPART || type == REDUCTION_MEAN_REALPART) { 3027 for (i = 0; i < n; i++) { 3028 for (j = 0; j < m; j++) reductions[i] += PetscRealPart(a[j]); 3029 a = PetscSafePointerPlusOffset(a, m); 3030 } 3031 } else if (type == REDUCTION_SUM_IMAGINARYPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3032 for (i = 0; i < n; i++) { 3033 for (j = 0; j < m; j++) reductions[i] += PetscImaginaryPart(a[j]); 3034 a = PetscSafePointerPlusOffset(a, m); 3035 } 3036 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Unknown reduction type"); 3037 PetscCall(MatDenseRestoreArrayRead(A, &a)); 3038 if (type == NORM_2) { 3039 for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]); 3040 } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3041 for (i = 0; i < n; i++) reductions[i] /= m; 3042 } 3043 PetscFunctionReturn(PETSC_SUCCESS); 3044 } 3045 3046 PetscErrorCode MatSetRandom_SeqDense(Mat x, PetscRandom rctx) 3047 { 3048 PetscScalar *a; 3049 PetscInt lda, m, n, i, j; 3050 3051 PetscFunctionBegin; 3052 PetscCall(MatGetSize(x, &m, &n)); 3053 PetscCall(MatDenseGetLDA(x, &lda)); 3054 PetscCall(MatDenseGetArrayWrite(x, &a)); 3055 for (j = 0; j < n; j++) { 3056 for (i = 0; i < m; i++) PetscCall(PetscRandomGetValue(rctx, a + j * lda + i)); 3057 } 3058 PetscCall(MatDenseRestoreArrayWrite(x, &a)); 3059 PetscFunctionReturn(PETSC_SUCCESS); 3060 } 3061 3062 static PetscErrorCode MatMissingDiagonal_SeqDense(Mat A, PetscBool *missing, PetscInt *d) 3063 { 3064 PetscFunctionBegin; 3065 *missing = PETSC_FALSE; 3066 PetscFunctionReturn(PETSC_SUCCESS); 3067 } 3068 3069 /* vals is not const */ 3070 static PetscErrorCode MatDenseGetColumn_SeqDense(Mat A, PetscInt col, PetscScalar **vals) 3071 { 3072 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3073 PetscScalar *v; 3074 3075 PetscFunctionBegin; 3076 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 3077 PetscCall(MatDenseGetArray(A, &v)); 3078 *vals = v + col * a->lda; 3079 PetscCall(MatDenseRestoreArray(A, &v)); 3080 PetscFunctionReturn(PETSC_SUCCESS); 3081 } 3082 3083 static PetscErrorCode MatDenseRestoreColumn_SeqDense(Mat A, PetscScalar **vals) 3084 { 3085 PetscFunctionBegin; 3086 if (vals) *vals = NULL; /* user cannot accidentally use the array later */ 3087 PetscFunctionReturn(PETSC_SUCCESS); 3088 } 3089 3090 static struct _MatOps MatOps_Values = {MatSetValues_SeqDense, 3091 MatGetRow_SeqDense, 3092 MatRestoreRow_SeqDense, 3093 MatMult_SeqDense, 3094 /* 4*/ MatMultAdd_SeqDense, 3095 MatMultTranspose_SeqDense, 3096 MatMultTransposeAdd_SeqDense, 3097 NULL, 3098 NULL, 3099 NULL, 3100 /* 10*/ NULL, 3101 MatLUFactor_SeqDense, 3102 MatCholeskyFactor_SeqDense, 3103 MatSOR_SeqDense, 3104 MatTranspose_SeqDense, 3105 /* 15*/ MatGetInfo_SeqDense, 3106 MatEqual_SeqDense, 3107 MatGetDiagonal_SeqDense, 3108 MatDiagonalScale_SeqDense, 3109 MatNorm_SeqDense, 3110 /* 20*/ NULL, 3111 NULL, 3112 MatSetOption_SeqDense, 3113 MatZeroEntries_SeqDense, 3114 /* 24*/ MatZeroRows_SeqDense, 3115 NULL, 3116 NULL, 3117 NULL, 3118 NULL, 3119 /* 29*/ MatSetUp_SeqDense, 3120 NULL, 3121 NULL, 3122 NULL, 3123 NULL, 3124 /* 34*/ MatDuplicate_SeqDense, 3125 NULL, 3126 NULL, 3127 NULL, 3128 NULL, 3129 /* 39*/ MatAXPY_SeqDense, 3130 MatCreateSubMatrices_SeqDense, 3131 NULL, 3132 MatGetValues_SeqDense, 3133 MatCopy_SeqDense, 3134 /* 44*/ MatGetRowMax_SeqDense, 3135 MatScale_SeqDense, 3136 MatShift_SeqDense, 3137 NULL, 3138 MatZeroRowsColumns_SeqDense, 3139 /* 49*/ MatSetRandom_SeqDense, 3140 NULL, 3141 NULL, 3142 NULL, 3143 NULL, 3144 /* 54*/ NULL, 3145 NULL, 3146 NULL, 3147 NULL, 3148 NULL, 3149 /* 59*/ MatCreateSubMatrix_SeqDense, 3150 MatDestroy_SeqDense, 3151 MatView_SeqDense, 3152 NULL, 3153 NULL, 3154 /* 64*/ NULL, 3155 NULL, 3156 NULL, 3157 NULL, 3158 NULL, 3159 /* 69*/ MatGetRowMaxAbs_SeqDense, 3160 NULL, 3161 NULL, 3162 NULL, 3163 NULL, 3164 /* 74*/ NULL, 3165 NULL, 3166 NULL, 3167 NULL, 3168 NULL, 3169 /* 79*/ NULL, 3170 NULL, 3171 NULL, 3172 NULL, 3173 /* 83*/ MatLoad_SeqDense, 3174 MatIsSymmetric_SeqDense, 3175 MatIsHermitian_SeqDense, 3176 NULL, 3177 NULL, 3178 NULL, 3179 /* 89*/ NULL, 3180 NULL, 3181 MatMatMultNumeric_SeqDense_SeqDense, 3182 NULL, 3183 NULL, 3184 /* 94*/ NULL, 3185 NULL, 3186 NULL, 3187 MatMatTransposeMultNumeric_SeqDense_SeqDense, 3188 NULL, 3189 /* 99*/ MatProductSetFromOptions_SeqDense, 3190 NULL, 3191 NULL, 3192 MatConjugate_SeqDense, 3193 NULL, 3194 /*104*/ NULL, 3195 MatRealPart_SeqDense, 3196 MatImaginaryPart_SeqDense, 3197 NULL, 3198 NULL, 3199 /*109*/ NULL, 3200 NULL, 3201 MatGetRowMin_SeqDense, 3202 MatGetColumnVector_SeqDense, 3203 MatMissingDiagonal_SeqDense, 3204 /*114*/ NULL, 3205 NULL, 3206 NULL, 3207 NULL, 3208 NULL, 3209 /*119*/ NULL, 3210 NULL, 3211 MatMultHermitianTranspose_SeqDense, 3212 MatMultHermitianTransposeAdd_SeqDense, 3213 NULL, 3214 /*124*/ NULL, 3215 MatGetColumnReductions_SeqDense, 3216 NULL, 3217 NULL, 3218 NULL, 3219 /*129*/ NULL, 3220 NULL, 3221 NULL, 3222 MatTransposeMatMultNumeric_SeqDense_SeqDense, 3223 NULL, 3224 /*134*/ NULL, 3225 NULL, 3226 NULL, 3227 NULL, 3228 NULL, 3229 /*139*/ NULL, 3230 NULL, 3231 NULL, 3232 NULL, 3233 NULL, 3234 MatCreateMPIMatConcatenateSeqMat_SeqDense, 3235 /*145*/ NULL, 3236 NULL, 3237 NULL, 3238 NULL, 3239 NULL, 3240 /*150*/ NULL, 3241 NULL, 3242 NULL, 3243 NULL, 3244 NULL, 3245 /*155*/ NULL, 3246 NULL}; 3247 3248 /*@ 3249 MatCreateSeqDense - Creates a `MATSEQDENSE` that 3250 is stored in column major order (the usual Fortran format). 3251 3252 Collective 3253 3254 Input Parameters: 3255 + comm - MPI communicator, set to `PETSC_COMM_SELF` 3256 . m - number of rows 3257 . n - number of columns 3258 - data - optional location of matrix data in column major order. Use `NULL` for PETSc 3259 to control all matrix memory allocation. 3260 3261 Output Parameter: 3262 . A - the matrix 3263 3264 Level: intermediate 3265 3266 Note: 3267 The data input variable is intended primarily for Fortran programmers 3268 who wish to allocate their own matrix memory space. Most users should 3269 set `data` = `NULL`. 3270 3271 Developer Note: 3272 Many of the matrix operations for this variant use the BLAS and LAPACK routines. 3273 3274 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()` 3275 @*/ 3276 PetscErrorCode MatCreateSeqDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscScalar data[], Mat *A) 3277 { 3278 PetscFunctionBegin; 3279 PetscCall(MatCreate(comm, A)); 3280 PetscCall(MatSetSizes(*A, m, n, m, n)); 3281 PetscCall(MatSetType(*A, MATSEQDENSE)); 3282 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 3283 PetscFunctionReturn(PETSC_SUCCESS); 3284 } 3285 3286 /*@ 3287 MatSeqDenseSetPreallocation - Sets the array used for storing the matrix elements of a `MATSEQDENSE` matrix 3288 3289 Collective 3290 3291 Input Parameters: 3292 + B - the matrix 3293 - data - the array (or `NULL`) 3294 3295 Level: intermediate 3296 3297 Note: 3298 The data input variable is intended primarily for Fortran programmers 3299 who wish to allocate their own matrix memory space. Most users should 3300 need not call this routine. 3301 3302 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()`, `MatDenseSetLDA()` 3303 @*/ 3304 PetscErrorCode MatSeqDenseSetPreallocation(Mat B, PetscScalar data[]) 3305 { 3306 PetscFunctionBegin; 3307 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 3308 PetscTryMethod(B, "MatSeqDenseSetPreallocation_C", (Mat, PetscScalar[]), (B, data)); 3309 PetscFunctionReturn(PETSC_SUCCESS); 3310 } 3311 3312 PetscErrorCode MatSeqDenseSetPreallocation_SeqDense(Mat B, PetscScalar *data) 3313 { 3314 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3315 3316 PetscFunctionBegin; 3317 PetscCheck(!b->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3318 B->preallocated = PETSC_TRUE; 3319 3320 PetscCall(PetscLayoutSetUp(B->rmap)); 3321 PetscCall(PetscLayoutSetUp(B->cmap)); 3322 3323 if (b->lda <= 0) PetscCall(PetscBLASIntCast(B->rmap->n, &b->lda)); 3324 3325 if (!data) { /* petsc-allocated storage */ 3326 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3327 PetscCall(PetscCalloc1((size_t)b->lda * B->cmap->n, &b->v)); 3328 3329 b->user_alloc = PETSC_FALSE; 3330 } else { /* user-allocated storage */ 3331 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3332 b->v = data; 3333 b->user_alloc = PETSC_TRUE; 3334 } 3335 B->assembled = PETSC_TRUE; 3336 PetscFunctionReturn(PETSC_SUCCESS); 3337 } 3338 3339 #if defined(PETSC_HAVE_ELEMENTAL) 3340 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 3341 { 3342 Mat mat_elemental; 3343 const PetscScalar *array; 3344 PetscScalar *v_colwise; 3345 PetscInt M = A->rmap->N, N = A->cmap->N, i, j, k, *rows, *cols; 3346 3347 PetscFunctionBegin; 3348 PetscCall(PetscMalloc3(M * N, &v_colwise, M, &rows, N, &cols)); 3349 PetscCall(MatDenseGetArrayRead(A, &array)); 3350 /* convert column-wise array into row-wise v_colwise, see MatSetValues_Elemental() */ 3351 k = 0; 3352 for (j = 0; j < N; j++) { 3353 cols[j] = j; 3354 for (i = 0; i < M; i++) v_colwise[j * M + i] = array[k++]; 3355 } 3356 for (i = 0; i < M; i++) rows[i] = i; 3357 PetscCall(MatDenseRestoreArrayRead(A, &array)); 3358 3359 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 3360 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, M, N)); 3361 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 3362 PetscCall(MatSetUp(mat_elemental)); 3363 3364 /* PETSc-Elemental interaface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 3365 PetscCall(MatSetValues(mat_elemental, M, rows, N, cols, v_colwise, ADD_VALUES)); 3366 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 3367 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 3368 PetscCall(PetscFree3(v_colwise, rows, cols)); 3369 3370 if (reuse == MAT_INPLACE_MATRIX) { 3371 PetscCall(MatHeaderReplace(A, &mat_elemental)); 3372 } else { 3373 *newmat = mat_elemental; 3374 } 3375 PetscFunctionReturn(PETSC_SUCCESS); 3376 } 3377 #endif 3378 3379 PetscErrorCode MatDenseSetLDA_SeqDense(Mat B, PetscInt lda) 3380 { 3381 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3382 PetscBool data; 3383 3384 PetscFunctionBegin; 3385 data = (B->rmap->n > 0 && B->cmap->n > 0) ? (b->v ? PETSC_TRUE : PETSC_FALSE) : PETSC_FALSE; 3386 PetscCheck(b->user_alloc || !data || b->lda == lda, PETSC_COMM_SELF, PETSC_ERR_ORDER, "LDA cannot be changed after allocation of internal storage"); 3387 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); 3388 PetscCall(PetscBLASIntCast(lda, &b->lda)); 3389 PetscFunctionReturn(PETSC_SUCCESS); 3390 } 3391 3392 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 3393 { 3394 PetscFunctionBegin; 3395 PetscCall(MatCreateMPIMatConcatenateSeqMat_MPIDense(comm, inmat, n, scall, outmat)); 3396 PetscFunctionReturn(PETSC_SUCCESS); 3397 } 3398 3399 PetscErrorCode MatDenseCreateColumnVec_Private(Mat A, Vec *v) 3400 { 3401 PetscBool isstd, iskok, iscuda, iship; 3402 PetscMPIInt size; 3403 #if PetscDefined(HAVE_CUDA) || PetscDefined(HAVE_HIP) 3404 /* we pass the data of A, to prevent allocating needless GPU memory the first time VecCUPMPlaceArray is called. */ 3405 const PetscScalar *a; 3406 #endif 3407 3408 PetscFunctionBegin; 3409 *v = NULL; 3410 PetscCall(PetscStrcmpAny(A->defaultvectype, &isstd, VECSTANDARD, VECSEQ, VECMPI, "")); 3411 PetscCall(PetscStrcmpAny(A->defaultvectype, &iskok, VECKOKKOS, VECSEQKOKKOS, VECMPIKOKKOS, "")); 3412 PetscCall(PetscStrcmpAny(A->defaultvectype, &iscuda, VECCUDA, VECSEQCUDA, VECMPICUDA, "")); 3413 PetscCall(PetscStrcmpAny(A->defaultvectype, &iship, VECHIP, VECSEQHIP, VECMPIHIP, "")); 3414 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 3415 if (isstd) { 3416 if (size > 1) PetscCall(VecCreateMPIWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3417 else PetscCall(VecCreateSeqWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3418 } else if (iskok) { 3419 PetscCheck(PetscDefined(HAVE_KOKKOS_KERNELS), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using KOKKOS kernels support"); 3420 #if PetscDefined(HAVE_KOKKOS_KERNELS) 3421 if (size > 1) PetscCall(VecCreateMPIKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3422 else PetscCall(VecCreateSeqKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3423 #endif 3424 } else if (iscuda) { 3425 PetscCheck(PetscDefined(HAVE_CUDA), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using CUDA support"); 3426 #if PetscDefined(HAVE_CUDA) 3427 PetscCall(MatDenseCUDAGetArrayRead(A, &a)); 3428 if (size > 1) PetscCall(VecCreateMPICUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3429 else PetscCall(VecCreateSeqCUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3430 #endif 3431 } else if (iship) { 3432 PetscCheck(PetscDefined(HAVE_HIP), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using HIP support"); 3433 #if PetscDefined(HAVE_HIP) 3434 PetscCall(MatDenseHIPGetArrayRead(A, &a)); 3435 if (size > 1) PetscCall(VecCreateMPIHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3436 else PetscCall(VecCreateSeqHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3437 #endif 3438 } 3439 PetscCheck(*v, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not coded for type %s", A->defaultvectype); 3440 PetscFunctionReturn(PETSC_SUCCESS); 3441 } 3442 3443 PetscErrorCode MatDenseGetColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3444 { 3445 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3446 3447 PetscFunctionBegin; 3448 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3449 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3450 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3451 a->vecinuse = col + 1; 3452 PetscCall(MatDenseGetArray(A, (PetscScalar **)&a->ptrinuse)); 3453 PetscCall(VecPlaceArray(a->cvec, a->ptrinuse + (size_t)col * (size_t)a->lda)); 3454 *v = a->cvec; 3455 PetscFunctionReturn(PETSC_SUCCESS); 3456 } 3457 3458 PetscErrorCode MatDenseRestoreColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3459 { 3460 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3461 3462 PetscFunctionBegin; 3463 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3464 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3465 VecCheckAssembled(a->cvec); 3466 a->vecinuse = 0; 3467 PetscCall(MatDenseRestoreArray(A, (PetscScalar **)&a->ptrinuse)); 3468 PetscCall(VecResetArray(a->cvec)); 3469 if (v) *v = NULL; 3470 PetscFunctionReturn(PETSC_SUCCESS); 3471 } 3472 3473 PetscErrorCode MatDenseGetColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3474 { 3475 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3476 3477 PetscFunctionBegin; 3478 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3479 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3480 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3481 a->vecinuse = col + 1; 3482 PetscCall(MatDenseGetArrayRead(A, &a->ptrinuse)); 3483 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3484 PetscCall(VecLockReadPush(a->cvec)); 3485 *v = a->cvec; 3486 PetscFunctionReturn(PETSC_SUCCESS); 3487 } 3488 3489 PetscErrorCode MatDenseRestoreColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3490 { 3491 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3492 3493 PetscFunctionBegin; 3494 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3495 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3496 VecCheckAssembled(a->cvec); 3497 a->vecinuse = 0; 3498 PetscCall(MatDenseRestoreArrayRead(A, &a->ptrinuse)); 3499 PetscCall(VecLockReadPop(a->cvec)); 3500 PetscCall(VecResetArray(a->cvec)); 3501 if (v) *v = NULL; 3502 PetscFunctionReturn(PETSC_SUCCESS); 3503 } 3504 3505 PetscErrorCode MatDenseGetColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3506 { 3507 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3508 3509 PetscFunctionBegin; 3510 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3511 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3512 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3513 a->vecinuse = col + 1; 3514 PetscCall(MatDenseGetArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3515 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3516 *v = a->cvec; 3517 PetscFunctionReturn(PETSC_SUCCESS); 3518 } 3519 3520 PetscErrorCode MatDenseRestoreColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3521 { 3522 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3523 3524 PetscFunctionBegin; 3525 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3526 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3527 VecCheckAssembled(a->cvec); 3528 a->vecinuse = 0; 3529 PetscCall(MatDenseRestoreArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3530 PetscCall(VecResetArray(a->cvec)); 3531 if (v) *v = NULL; 3532 PetscFunctionReturn(PETSC_SUCCESS); 3533 } 3534 3535 PetscErrorCode MatDenseGetSubMatrix_SeqDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3536 { 3537 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3538 3539 PetscFunctionBegin; 3540 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3541 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3542 if (a->cmat && (cend - cbegin != a->cmat->cmap->N || rend - rbegin != a->cmat->rmap->N)) PetscCall(MatDestroy(&a->cmat)); 3543 if (!a->cmat) { 3544 PetscCall(MatCreateDense(PetscObjectComm((PetscObject)A), rend - rbegin, PETSC_DECIDE, rend - rbegin, cend - cbegin, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda), &a->cmat)); 3545 } else { 3546 PetscCall(MatDensePlaceArray(a->cmat, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda))); 3547 } 3548 PetscCall(MatDenseSetLDA(a->cmat, a->lda)); 3549 a->matinuse = cbegin + 1; 3550 *v = a->cmat; 3551 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3552 A->offloadmask = PETSC_OFFLOAD_CPU; 3553 #endif 3554 PetscFunctionReturn(PETSC_SUCCESS); 3555 } 3556 3557 PetscErrorCode MatDenseRestoreSubMatrix_SeqDense(Mat A, Mat *v) 3558 { 3559 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3560 3561 PetscFunctionBegin; 3562 PetscCheck(a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 3563 PetscCheck(a->cmat, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column matrix"); 3564 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 3565 a->matinuse = 0; 3566 PetscCall(MatDenseResetArray(a->cmat)); 3567 if (v) *v = NULL; 3568 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3569 A->offloadmask = PETSC_OFFLOAD_CPU; 3570 #endif 3571 PetscFunctionReturn(PETSC_SUCCESS); 3572 } 3573 3574 /*MC 3575 MATSEQDENSE - MATSEQDENSE = "seqdense" - A matrix type to be used for sequential dense matrices. 3576 3577 Options Database Key: 3578 . -mat_type seqdense - sets the matrix type to `MATSEQDENSE` during a call to `MatSetFromOptions()` 3579 3580 Level: beginner 3581 3582 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreateSeqDense()` 3583 M*/ 3584 PetscErrorCode MatCreate_SeqDense(Mat B) 3585 { 3586 Mat_SeqDense *b; 3587 PetscMPIInt size; 3588 3589 PetscFunctionBegin; 3590 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size)); 3591 PetscCheck(size <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Comm must be of size 1"); 3592 3593 PetscCall(PetscNew(&b)); 3594 B->data = (void *)b; 3595 B->ops[0] = MatOps_Values; 3596 3597 b->roworiented = PETSC_TRUE; 3598 3599 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatQRFactor_C", MatQRFactor_SeqDense)); 3600 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetLDA_C", MatDenseGetLDA_SeqDense)); 3601 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseSetLDA_C", MatDenseSetLDA_SeqDense)); 3602 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArray_C", MatDenseGetArray_SeqDense)); 3603 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArray_C", MatDenseRestoreArray_SeqDense)); 3604 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDensePlaceArray_C", MatDensePlaceArray_SeqDense)); 3605 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseResetArray_C", MatDenseResetArray_SeqDense)); 3606 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseReplaceArray_C", MatDenseReplaceArray_SeqDense)); 3607 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayRead_C", MatDenseGetArray_SeqDense)); 3608 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayRead_C", MatDenseRestoreArray_SeqDense)); 3609 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayWrite_C", MatDenseGetArray_SeqDense)); 3610 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArray_SeqDense)); 3611 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqaij_C", MatConvert_SeqDense_SeqAIJ)); 3612 #if defined(PETSC_HAVE_ELEMENTAL) 3613 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_elemental_C", MatConvert_SeqDense_Elemental)); 3614 #endif 3615 #if defined(PETSC_HAVE_SCALAPACK) 3616 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 3617 #endif 3618 #if defined(PETSC_HAVE_CUDA) 3619 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensecuda_C", MatConvert_SeqDense_SeqDenseCUDA)); 3620 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3621 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdense_C", MatProductSetFromOptions_SeqDense)); 3622 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3623 #endif 3624 #if defined(PETSC_HAVE_HIP) 3625 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensehip_C", MatConvert_SeqDense_SeqDenseHIP)); 3626 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3627 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdense_C", MatProductSetFromOptions_SeqDense)); 3628 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3629 #endif 3630 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqDenseSetPreallocation_C", MatSeqDenseSetPreallocation_SeqDense)); 3631 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqaij_seqdense_C", MatProductSetFromOptions_SeqAIJ_SeqDense)); 3632 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdense_C", MatProductSetFromOptions_SeqDense)); 3633 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3634 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqsbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3635 3636 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumn_C", MatDenseGetColumn_SeqDense)); 3637 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_SeqDense)); 3638 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_SeqDense)); 3639 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_SeqDense)); 3640 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_SeqDense)); 3641 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_SeqDense)); 3642 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_SeqDense)); 3643 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_SeqDense)); 3644 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_SeqDense)); 3645 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_SeqDense)); 3646 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultAddColumnRange_C", MatMultAddColumnRange_SeqDense)); 3647 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_SeqDense)); 3648 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_SeqDense)); 3649 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQDENSE)); 3650 PetscFunctionReturn(PETSC_SUCCESS); 3651 } 3652 3653 /*@C 3654 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. 3655 3656 Not Collective 3657 3658 Input Parameters: 3659 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3660 - col - column index 3661 3662 Output Parameter: 3663 . vals - pointer to the data 3664 3665 Level: intermediate 3666 3667 Note: 3668 Use `MatDenseGetColumnVec()` to get access to a column of a `MATDENSE` treated as a `Vec` 3669 3670 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreColumn()`, `MatDenseGetColumnVec()` 3671 @*/ 3672 PetscErrorCode MatDenseGetColumn(Mat A, PetscInt col, PetscScalar *vals[]) 3673 { 3674 PetscFunctionBegin; 3675 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3676 PetscValidLogicalCollectiveInt(A, col, 2); 3677 PetscAssertPointer(vals, 3); 3678 PetscUseMethod(A, "MatDenseGetColumn_C", (Mat, PetscInt, PetscScalar **), (A, col, vals)); 3679 PetscFunctionReturn(PETSC_SUCCESS); 3680 } 3681 3682 /*@C 3683 MatDenseRestoreColumn - returns access to a column of a `MATDENSE` matrix which is returned by `MatDenseGetColumn()`. 3684 3685 Not Collective 3686 3687 Input Parameters: 3688 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3689 - vals - pointer to the data (may be `NULL`) 3690 3691 Level: intermediate 3692 3693 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetColumn()` 3694 @*/ 3695 PetscErrorCode MatDenseRestoreColumn(Mat A, PetscScalar *vals[]) 3696 { 3697 PetscFunctionBegin; 3698 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3699 PetscAssertPointer(vals, 2); 3700 PetscUseMethod(A, "MatDenseRestoreColumn_C", (Mat, PetscScalar **), (A, vals)); 3701 PetscFunctionReturn(PETSC_SUCCESS); 3702 } 3703 3704 /*@ 3705 MatDenseGetColumnVec - Gives read-write access to a column of a `MATDENSE` matrix, represented as a `Vec`. 3706 3707 Collective 3708 3709 Input Parameters: 3710 + A - the `Mat` object 3711 - col - the column index 3712 3713 Output Parameter: 3714 . v - the vector 3715 3716 Level: intermediate 3717 3718 Notes: 3719 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVec()` when the vector is no longer needed. 3720 3721 Use `MatDenseGetColumnVecRead()` to obtain read-only access or `MatDenseGetColumnVecWrite()` for write-only access. 3722 3723 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()`, `MatDenseGetColumn()` 3724 @*/ 3725 PetscErrorCode MatDenseGetColumnVec(Mat A, PetscInt col, Vec *v) 3726 { 3727 PetscFunctionBegin; 3728 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3729 PetscValidType(A, 1); 3730 PetscValidLogicalCollectiveInt(A, col, 2); 3731 PetscAssertPointer(v, 3); 3732 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3733 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); 3734 PetscUseMethod(A, "MatDenseGetColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3735 PetscFunctionReturn(PETSC_SUCCESS); 3736 } 3737 3738 /*@ 3739 MatDenseRestoreColumnVec - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVec()`. 3740 3741 Collective 3742 3743 Input Parameters: 3744 + A - the `Mat` object 3745 . col - the column index 3746 - v - the `Vec` object (may be `NULL`) 3747 3748 Level: intermediate 3749 3750 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3751 @*/ 3752 PetscErrorCode MatDenseRestoreColumnVec(Mat A, PetscInt col, Vec *v) 3753 { 3754 PetscFunctionBegin; 3755 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3756 PetscValidType(A, 1); 3757 PetscValidLogicalCollectiveInt(A, col, 2); 3758 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3759 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); 3760 PetscUseMethod(A, "MatDenseRestoreColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3761 PetscFunctionReturn(PETSC_SUCCESS); 3762 } 3763 3764 /*@ 3765 MatDenseGetColumnVecRead - Gives read-only access to a column of a dense matrix, represented as a `Vec`. 3766 3767 Collective 3768 3769 Input Parameters: 3770 + A - the `Mat` object 3771 - col - the column index 3772 3773 Output Parameter: 3774 . v - the vector 3775 3776 Level: intermediate 3777 3778 Notes: 3779 The vector is owned by PETSc and users cannot modify it. 3780 3781 Users need to call `MatDenseRestoreColumnVecRead()` when the vector is no longer needed. 3782 3783 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecWrite()` for write-only access. 3784 3785 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3786 @*/ 3787 PetscErrorCode MatDenseGetColumnVecRead(Mat A, PetscInt col, Vec *v) 3788 { 3789 PetscFunctionBegin; 3790 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3791 PetscValidType(A, 1); 3792 PetscValidLogicalCollectiveInt(A, col, 2); 3793 PetscAssertPointer(v, 3); 3794 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3795 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); 3796 PetscUseMethod(A, "MatDenseGetColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3797 PetscFunctionReturn(PETSC_SUCCESS); 3798 } 3799 3800 /*@ 3801 MatDenseRestoreColumnVecRead - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecRead()`. 3802 3803 Collective 3804 3805 Input Parameters: 3806 + A - the `Mat` object 3807 . col - the column index 3808 - v - the `Vec` object (may be `NULL`) 3809 3810 Level: intermediate 3811 3812 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecWrite()` 3813 @*/ 3814 PetscErrorCode MatDenseRestoreColumnVecRead(Mat A, PetscInt col, Vec *v) 3815 { 3816 PetscFunctionBegin; 3817 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3818 PetscValidType(A, 1); 3819 PetscValidLogicalCollectiveInt(A, col, 2); 3820 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3821 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); 3822 PetscUseMethod(A, "MatDenseRestoreColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3823 PetscFunctionReturn(PETSC_SUCCESS); 3824 } 3825 3826 /*@ 3827 MatDenseGetColumnVecWrite - Gives write-only access to a column of a dense matrix, represented as a `Vec`. 3828 3829 Collective 3830 3831 Input Parameters: 3832 + A - the `Mat` object 3833 - col - the column index 3834 3835 Output Parameter: 3836 . v - the vector 3837 3838 Level: intermediate 3839 3840 Notes: 3841 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVecWrite()` when the vector is no longer needed. 3842 3843 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecRead()` for read-only access. 3844 3845 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3846 @*/ 3847 PetscErrorCode MatDenseGetColumnVecWrite(Mat A, PetscInt col, Vec *v) 3848 { 3849 PetscFunctionBegin; 3850 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3851 PetscValidType(A, 1); 3852 PetscValidLogicalCollectiveInt(A, col, 2); 3853 PetscAssertPointer(v, 3); 3854 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3855 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); 3856 PetscUseMethod(A, "MatDenseGetColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3857 PetscFunctionReturn(PETSC_SUCCESS); 3858 } 3859 3860 /*@ 3861 MatDenseRestoreColumnVecWrite - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecWrite()`. 3862 3863 Collective 3864 3865 Input Parameters: 3866 + A - the `Mat` object 3867 . col - the column index 3868 - v - the `Vec` object (may be `NULL`) 3869 3870 Level: intermediate 3871 3872 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()` 3873 @*/ 3874 PetscErrorCode MatDenseRestoreColumnVecWrite(Mat A, PetscInt col, Vec *v) 3875 { 3876 PetscFunctionBegin; 3877 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3878 PetscValidType(A, 1); 3879 PetscValidLogicalCollectiveInt(A, col, 2); 3880 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3881 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); 3882 PetscUseMethod(A, "MatDenseRestoreColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3883 PetscFunctionReturn(PETSC_SUCCESS); 3884 } 3885 3886 /*@ 3887 MatDenseGetSubMatrix - Gives access to a block of rows and columns of a dense matrix, represented as a `Mat`. 3888 3889 Collective 3890 3891 Input Parameters: 3892 + A - the `Mat` object 3893 . rbegin - the first global row index in the block (if `PETSC_DECIDE`, is 0) 3894 . rend - the global row index past the last one in the block (if `PETSC_DECIDE`, is `M`) 3895 . cbegin - the first global column index in the block (if `PETSC_DECIDE`, is 0) 3896 - cend - the global column index past the last one in the block (if `PETSC_DECIDE`, is `N`) 3897 3898 Output Parameter: 3899 . v - the matrix 3900 3901 Level: intermediate 3902 3903 Notes: 3904 The matrix is owned by PETSc. Users need to call `MatDenseRestoreSubMatrix()` when the matrix is no longer needed. 3905 3906 The output matrix is not redistributed by PETSc, so depending on the values of `rbegin` and `rend`, some processes may have no local rows. 3907 3908 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreSubMatrix()` 3909 @*/ 3910 PetscErrorCode MatDenseGetSubMatrix(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3911 { 3912 PetscFunctionBegin; 3913 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3914 PetscValidType(A, 1); 3915 PetscValidLogicalCollectiveInt(A, rbegin, 2); 3916 PetscValidLogicalCollectiveInt(A, rend, 3); 3917 PetscValidLogicalCollectiveInt(A, cbegin, 4); 3918 PetscValidLogicalCollectiveInt(A, cend, 5); 3919 PetscAssertPointer(v, 6); 3920 if (rbegin == PETSC_DECIDE) rbegin = 0; 3921 if (rend == PETSC_DECIDE) rend = A->rmap->N; 3922 if (cbegin == PETSC_DECIDE) cbegin = 0; 3923 if (cend == PETSC_DECIDE) cend = A->cmap->N; 3924 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3925 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); 3926 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); 3927 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); 3928 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); 3929 PetscUseMethod(A, "MatDenseGetSubMatrix_C", (Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *), (A, rbegin, rend, cbegin, cend, v)); 3930 PetscFunctionReturn(PETSC_SUCCESS); 3931 } 3932 3933 /*@ 3934 MatDenseRestoreSubMatrix - Returns access to a block of columns of a dense matrix obtained from `MatDenseGetSubMatrix()`. 3935 3936 Collective 3937 3938 Input Parameters: 3939 + A - the `Mat` object 3940 - v - the `Mat` object (may be `NULL`) 3941 3942 Level: intermediate 3943 3944 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseGetSubMatrix()` 3945 @*/ 3946 PetscErrorCode MatDenseRestoreSubMatrix(Mat A, Mat *v) 3947 { 3948 PetscFunctionBegin; 3949 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3950 PetscValidType(A, 1); 3951 PetscAssertPointer(v, 2); 3952 PetscUseMethod(A, "MatDenseRestoreSubMatrix_C", (Mat, Mat *), (A, v)); 3953 PetscFunctionReturn(PETSC_SUCCESS); 3954 } 3955 3956 #include <petscblaslapack.h> 3957 #include <petsc/private/kernels/blockinvert.h> 3958 3959 PetscErrorCode MatSeqDenseInvert(Mat A) 3960 { 3961 PetscInt m; 3962 const PetscReal shift = 0.0; 3963 PetscBool allowzeropivot, zeropivotdetected = PETSC_FALSE; 3964 PetscScalar *values; 3965 3966 PetscFunctionBegin; 3967 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3968 PetscCall(MatDenseGetArray(A, &values)); 3969 PetscCall(MatGetLocalSize(A, &m, NULL)); 3970 allowzeropivot = PetscNot(A->erroriffailure); 3971 /* factor and invert each block */ 3972 switch (m) { 3973 case 1: 3974 values[0] = (PetscScalar)1.0 / (values[0] + shift); 3975 break; 3976 case 2: 3977 PetscCall(PetscKernel_A_gets_inverse_A_2(values, shift, allowzeropivot, &zeropivotdetected)); 3978 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3979 break; 3980 case 3: 3981 PetscCall(PetscKernel_A_gets_inverse_A_3(values, shift, allowzeropivot, &zeropivotdetected)); 3982 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3983 break; 3984 case 4: 3985 PetscCall(PetscKernel_A_gets_inverse_A_4(values, shift, allowzeropivot, &zeropivotdetected)); 3986 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3987 break; 3988 case 5: { 3989 PetscScalar work[25]; 3990 PetscInt ipvt[5]; 3991 3992 PetscCall(PetscKernel_A_gets_inverse_A_5(values, ipvt, work, shift, allowzeropivot, &zeropivotdetected)); 3993 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3994 } break; 3995 case 6: 3996 PetscCall(PetscKernel_A_gets_inverse_A_6(values, shift, allowzeropivot, &zeropivotdetected)); 3997 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3998 break; 3999 case 7: 4000 PetscCall(PetscKernel_A_gets_inverse_A_7(values, shift, allowzeropivot, &zeropivotdetected)); 4001 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4002 break; 4003 default: { 4004 PetscInt *v_pivots, *IJ, j; 4005 PetscScalar *v_work; 4006 4007 PetscCall(PetscMalloc3(m, &v_work, m, &v_pivots, m, &IJ)); 4008 for (j = 0; j < m; j++) IJ[j] = j; 4009 PetscCall(PetscKernel_A_gets_inverse_A(m, values, v_pivots, v_work, allowzeropivot, &zeropivotdetected)); 4010 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4011 PetscCall(PetscFree3(v_work, v_pivots, IJ)); 4012 } 4013 } 4014 PetscCall(MatDenseRestoreArray(A, &values)); 4015 PetscFunctionReturn(PETSC_SUCCESS); 4016 } 4017