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 case MAT_NEW_NONZERO_LOCATIONS: 2021 case MAT_NEW_NONZERO_LOCATION_ERR: 2022 case MAT_NEW_NONZERO_ALLOCATION_ERR: 2023 case MAT_FORCE_DIAGONAL_ENTRIES: 2024 case MAT_KEEP_NONZERO_PATTERN: 2025 case MAT_IGNORE_OFF_PROC_ENTRIES: 2026 case MAT_USE_HASH_TABLE: 2027 case MAT_IGNORE_ZERO_ENTRIES: 2028 case MAT_IGNORE_LOWER_TRIANGULAR: 2029 case MAT_SORTED_FULL: 2030 PetscCall(PetscInfo(A, "Option %s ignored\n", MatOptions[op])); 2031 break; 2032 case MAT_SPD: 2033 case MAT_SYMMETRIC: 2034 case MAT_STRUCTURALLY_SYMMETRIC: 2035 case MAT_HERMITIAN: 2036 case MAT_SYMMETRY_ETERNAL: 2037 case MAT_STRUCTURAL_SYMMETRY_ETERNAL: 2038 case MAT_SPD_ETERNAL: 2039 break; 2040 default: 2041 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "unknown option %s", MatOptions[op]); 2042 } 2043 PetscFunctionReturn(PETSC_SUCCESS); 2044 } 2045 2046 PetscErrorCode MatZeroEntries_SeqDense(Mat A) 2047 { 2048 Mat_SeqDense *l = (Mat_SeqDense *)A->data; 2049 PetscInt lda = l->lda, m = A->rmap->n, n = A->cmap->n, j; 2050 PetscScalar *v; 2051 2052 PetscFunctionBegin; 2053 PetscCall(MatDenseGetArrayWrite(A, &v)); 2054 if (lda > m) { 2055 for (j = 0; j < n; j++) PetscCall(PetscArrayzero(v + j * lda, m)); 2056 } else { 2057 PetscCall(PetscArrayzero(v, PetscInt64Mult(m, n))); 2058 } 2059 PetscCall(MatDenseRestoreArrayWrite(A, &v)); 2060 PetscFunctionReturn(PETSC_SUCCESS); 2061 } 2062 2063 static PetscErrorCode MatZeroRows_SeqDense(Mat A, PetscInt N, const PetscInt rows[], PetscScalar diag, Vec x, Vec b) 2064 { 2065 Mat_SeqDense *l = (Mat_SeqDense *)A->data; 2066 PetscInt m = l->lda, n = A->cmap->n, i, j; 2067 PetscScalar *slot, *bb, *v; 2068 const PetscScalar *xx; 2069 2070 PetscFunctionBegin; 2071 if (PetscDefined(USE_DEBUG)) { 2072 for (i = 0; i < N; i++) { 2073 PetscCheck(rows[i] >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Negative row requested to be zeroed"); 2074 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); 2075 } 2076 } 2077 if (!N) PetscFunctionReturn(PETSC_SUCCESS); 2078 2079 /* fix right-hand side if needed */ 2080 if (x && b) { 2081 PetscCall(VecGetArrayRead(x, &xx)); 2082 PetscCall(VecGetArray(b, &bb)); 2083 for (i = 0; i < N; i++) bb[rows[i]] = diag * xx[rows[i]]; 2084 PetscCall(VecRestoreArrayRead(x, &xx)); 2085 PetscCall(VecRestoreArray(b, &bb)); 2086 } 2087 2088 PetscCall(MatDenseGetArray(A, &v)); 2089 for (i = 0; i < N; i++) { 2090 slot = v + rows[i]; 2091 for (j = 0; j < n; j++) { 2092 *slot = 0.0; 2093 slot += m; 2094 } 2095 } 2096 if (diag != 0.0) { 2097 PetscCheck(A->rmap->n == A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only coded for square matrices"); 2098 for (i = 0; i < N; i++) { 2099 slot = v + (m + 1) * rows[i]; 2100 *slot = diag; 2101 } 2102 } 2103 PetscCall(MatDenseRestoreArray(A, &v)); 2104 PetscFunctionReturn(PETSC_SUCCESS); 2105 } 2106 2107 static PetscErrorCode MatDenseGetLDA_SeqDense(Mat A, PetscInt *lda) 2108 { 2109 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2110 2111 PetscFunctionBegin; 2112 *lda = mat->lda; 2113 PetscFunctionReturn(PETSC_SUCCESS); 2114 } 2115 2116 PetscErrorCode MatDenseGetArray_SeqDense(Mat A, PetscScalar **array) 2117 { 2118 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2119 2120 PetscFunctionBegin; 2121 PetscCheck(!mat->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 2122 *array = mat->v; 2123 PetscFunctionReturn(PETSC_SUCCESS); 2124 } 2125 2126 PetscErrorCode MatDenseRestoreArray_SeqDense(Mat A, PetscScalar **array) 2127 { 2128 PetscFunctionBegin; 2129 if (array) *array = NULL; 2130 PetscFunctionReturn(PETSC_SUCCESS); 2131 } 2132 2133 /*@ 2134 MatDenseGetLDA - gets the leading dimension of the array returned from `MatDenseGetArray()` 2135 2136 Not Collective 2137 2138 Input Parameter: 2139 . A - a `MATDENSE` or `MATDENSECUDA` matrix 2140 2141 Output Parameter: 2142 . lda - the leading dimension 2143 2144 Level: intermediate 2145 2146 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseSetLDA()` 2147 @*/ 2148 PetscErrorCode MatDenseGetLDA(Mat A, PetscInt *lda) 2149 { 2150 PetscFunctionBegin; 2151 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2152 PetscAssertPointer(lda, 2); 2153 MatCheckPreallocated(A, 1); 2154 PetscUseMethod(A, "MatDenseGetLDA_C", (Mat, PetscInt *), (A, lda)); 2155 PetscFunctionReturn(PETSC_SUCCESS); 2156 } 2157 2158 /*@ 2159 MatDenseSetLDA - Sets the leading dimension of the array used by the `MATDENSE` matrix 2160 2161 Collective if the matrix layouts have not yet been setup 2162 2163 Input Parameters: 2164 + A - a `MATDENSE` or `MATDENSECUDA` matrix 2165 - lda - the leading dimension 2166 2167 Level: intermediate 2168 2169 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetLDA()` 2170 @*/ 2171 PetscErrorCode MatDenseSetLDA(Mat A, PetscInt lda) 2172 { 2173 PetscFunctionBegin; 2174 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2175 PetscTryMethod(A, "MatDenseSetLDA_C", (Mat, PetscInt), (A, lda)); 2176 PetscFunctionReturn(PETSC_SUCCESS); 2177 } 2178 2179 /*@C 2180 MatDenseGetArray - gives read-write access to the array where the data for a `MATDENSE` matrix is stored 2181 2182 Logically Collective 2183 2184 Input Parameter: 2185 . A - a dense matrix 2186 2187 Output Parameter: 2188 . array - pointer to the data 2189 2190 Level: intermediate 2191 2192 Fortran Notes: 2193 `MatDenseGetArray()` Fortran binding is deprecated (since PETSc 3.19), use `MatDenseGetArrayF90()` 2194 2195 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2196 @*/ 2197 PetscErrorCode MatDenseGetArray(Mat A, PetscScalar *array[]) 2198 { 2199 PetscFunctionBegin; 2200 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2201 PetscAssertPointer(array, 2); 2202 PetscUseMethod(A, "MatDenseGetArray_C", (Mat, PetscScalar **), (A, array)); 2203 PetscFunctionReturn(PETSC_SUCCESS); 2204 } 2205 2206 /*@C 2207 MatDenseRestoreArray - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArray()` 2208 2209 Logically Collective 2210 2211 Input Parameters: 2212 + A - a dense matrix 2213 - array - pointer to the data (may be `NULL`) 2214 2215 Level: intermediate 2216 2217 Fortran Notes: 2218 `MatDenseRestoreArray()` Fortran binding is deprecated (since PETSc 3.19), use `MatDenseRestoreArrayF90()` 2219 2220 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2221 @*/ 2222 PetscErrorCode MatDenseRestoreArray(Mat A, PetscScalar *array[]) 2223 { 2224 PetscFunctionBegin; 2225 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2226 if (array) PetscAssertPointer(array, 2); 2227 PetscUseMethod(A, "MatDenseRestoreArray_C", (Mat, PetscScalar **), (A, array)); 2228 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2229 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 2230 A->offloadmask = PETSC_OFFLOAD_CPU; 2231 #endif 2232 PetscFunctionReturn(PETSC_SUCCESS); 2233 } 2234 2235 /*@C 2236 MatDenseGetArrayRead - gives read-only access to the array where the data for a `MATDENSE` matrix is stored 2237 2238 Not Collective 2239 2240 Input Parameter: 2241 . A - a dense matrix 2242 2243 Output Parameter: 2244 . array - pointer to the data 2245 2246 Level: intermediate 2247 2248 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayRead()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2249 @*/ 2250 PetscErrorCode MatDenseGetArrayRead(Mat A, const PetscScalar *array[]) 2251 { 2252 PetscFunctionBegin; 2253 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2254 PetscAssertPointer(array, 2); 2255 PetscUseMethod(A, "MatDenseGetArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2256 PetscFunctionReturn(PETSC_SUCCESS); 2257 } 2258 2259 /*@C 2260 MatDenseRestoreArrayRead - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArrayRead()` 2261 2262 Not Collective 2263 2264 Input Parameters: 2265 + A - a dense matrix 2266 - array - pointer to the data (may be `NULL`) 2267 2268 Level: intermediate 2269 2270 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayRead()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2271 @*/ 2272 PetscErrorCode MatDenseRestoreArrayRead(Mat A, const PetscScalar *array[]) 2273 { 2274 PetscFunctionBegin; 2275 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2276 if (array) PetscAssertPointer(array, 2); 2277 PetscUseMethod(A, "MatDenseRestoreArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2278 PetscFunctionReturn(PETSC_SUCCESS); 2279 } 2280 2281 /*@C 2282 MatDenseGetArrayWrite - gives write-only access to the array where the data for a `MATDENSE` matrix is stored 2283 2284 Not Collective 2285 2286 Input Parameter: 2287 . A - a dense matrix 2288 2289 Output Parameter: 2290 . array - pointer to the data 2291 2292 Level: intermediate 2293 2294 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayWrite()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()` 2295 @*/ 2296 PetscErrorCode MatDenseGetArrayWrite(Mat A, PetscScalar *array[]) 2297 { 2298 PetscFunctionBegin; 2299 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2300 PetscAssertPointer(array, 2); 2301 PetscUseMethod(A, "MatDenseGetArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2302 PetscFunctionReturn(PETSC_SUCCESS); 2303 } 2304 2305 /*@C 2306 MatDenseRestoreArrayWrite - returns access to the array where the data for a `MATDENSE` matrix is stored obtained by `MatDenseGetArrayWrite()` 2307 2308 Not Collective 2309 2310 Input Parameters: 2311 + A - a dense matrix 2312 - array - pointer to the data (may be `NULL`) 2313 2314 Level: intermediate 2315 2316 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayWrite()`, `MatDenseGetArray()`, `MatDenseRestoreArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()` 2317 @*/ 2318 PetscErrorCode MatDenseRestoreArrayWrite(Mat A, PetscScalar *array[]) 2319 { 2320 PetscFunctionBegin; 2321 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2322 if (array) PetscAssertPointer(array, 2); 2323 PetscUseMethod(A, "MatDenseRestoreArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2324 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2325 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 2326 A->offloadmask = PETSC_OFFLOAD_CPU; 2327 #endif 2328 PetscFunctionReturn(PETSC_SUCCESS); 2329 } 2330 2331 /*@C 2332 MatDenseGetArrayAndMemType - gives read-write access to the array where the data for a `MATDENSE` matrix is stored 2333 2334 Logically Collective 2335 2336 Input Parameter: 2337 . A - a dense matrix 2338 2339 Output Parameters: 2340 + array - pointer to the data 2341 - mtype - memory type of the returned pointer 2342 2343 Level: intermediate 2344 2345 Note: 2346 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2347 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2348 2349 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayAndMemType()`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArrayWriteAndMemType()`, `MatDenseGetArrayRead()`, 2350 `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2351 @*/ 2352 PetscErrorCode MatDenseGetArrayAndMemType(Mat A, PetscScalar *array[], PetscMemType *mtype) 2353 { 2354 PetscBool isMPI; 2355 2356 PetscFunctionBegin; 2357 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2358 PetscAssertPointer(array, 2); 2359 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 */ 2360 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2361 if (isMPI) { 2362 /* Dispatch here so that the code can be reused for all subclasses of MATDENSE */ 2363 PetscCall(MatDenseGetArrayAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2364 } else { 2365 PetscErrorCode (*fptr)(Mat, PetscScalar **, PetscMemType *); 2366 2367 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayAndMemType_C", &fptr)); 2368 if (fptr) { 2369 PetscCall((*fptr)(A, array, mtype)); 2370 } else { 2371 PetscUseMethod(A, "MatDenseGetArray_C", (Mat, PetscScalar **), (A, array)); 2372 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2373 } 2374 } 2375 PetscFunctionReturn(PETSC_SUCCESS); 2376 } 2377 2378 /*@C 2379 MatDenseRestoreArrayAndMemType - returns access to the array that is obtained by `MatDenseGetArrayAndMemType()` 2380 2381 Logically Collective 2382 2383 Input Parameters: 2384 + A - a dense matrix 2385 - array - pointer to the data 2386 2387 Level: intermediate 2388 2389 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2390 @*/ 2391 PetscErrorCode MatDenseRestoreArrayAndMemType(Mat A, PetscScalar *array[]) 2392 { 2393 PetscBool isMPI; 2394 2395 PetscFunctionBegin; 2396 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2397 PetscAssertPointer(array, 2); 2398 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2399 if (isMPI) { 2400 PetscCall(MatDenseRestoreArrayAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2401 } else { 2402 PetscErrorCode (*fptr)(Mat, PetscScalar **); 2403 2404 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayAndMemType_C", &fptr)); 2405 if (fptr) { 2406 PetscCall((*fptr)(A, array)); 2407 } else { 2408 PetscUseMethod(A, "MatDenseRestoreArray_C", (Mat, PetscScalar **), (A, array)); 2409 } 2410 *array = NULL; 2411 } 2412 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2413 PetscFunctionReturn(PETSC_SUCCESS); 2414 } 2415 2416 /*@C 2417 MatDenseGetArrayReadAndMemType - gives read-only access to the array where the data for a `MATDENSE` matrix is stored 2418 2419 Logically Collective 2420 2421 Input Parameter: 2422 . A - a dense matrix 2423 2424 Output Parameters: 2425 + array - pointer to the data 2426 - mtype - memory type of the returned pointer 2427 2428 Level: intermediate 2429 2430 Note: 2431 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2432 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2433 2434 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayReadAndMemType()`, `MatDenseGetArrayWriteAndMemType()`, 2435 `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2436 @*/ 2437 PetscErrorCode MatDenseGetArrayReadAndMemType(Mat A, const PetscScalar *array[], PetscMemType *mtype) 2438 { 2439 PetscBool isMPI; 2440 2441 PetscFunctionBegin; 2442 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2443 PetscAssertPointer(array, 2); 2444 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 */ 2445 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2446 if (isMPI) { /* Dispatch here so that the code can be reused for all subclasses of MATDENSE */ 2447 PetscCall(MatDenseGetArrayReadAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2448 } else { 2449 PetscErrorCode (*fptr)(Mat, const PetscScalar **, PetscMemType *); 2450 2451 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayReadAndMemType_C", &fptr)); 2452 if (fptr) { 2453 PetscCall((*fptr)(A, array, mtype)); 2454 } else { 2455 PetscUseMethod(A, "MatDenseGetArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2456 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2457 } 2458 } 2459 PetscFunctionReturn(PETSC_SUCCESS); 2460 } 2461 2462 /*@C 2463 MatDenseRestoreArrayReadAndMemType - returns access to the array that is obtained by `MatDenseGetArrayReadAndMemType()` 2464 2465 Logically Collective 2466 2467 Input Parameters: 2468 + A - a dense matrix 2469 - array - pointer to the data 2470 2471 Level: intermediate 2472 2473 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2474 @*/ 2475 PetscErrorCode MatDenseRestoreArrayReadAndMemType(Mat A, const PetscScalar *array[]) 2476 { 2477 PetscBool isMPI; 2478 2479 PetscFunctionBegin; 2480 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2481 PetscAssertPointer(array, 2); 2482 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2483 if (isMPI) { 2484 PetscCall(MatDenseRestoreArrayReadAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2485 } else { 2486 PetscErrorCode (*fptr)(Mat, const PetscScalar **); 2487 2488 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayReadAndMemType_C", &fptr)); 2489 if (fptr) { 2490 PetscCall((*fptr)(A, array)); 2491 } else { 2492 PetscUseMethod(A, "MatDenseRestoreArrayRead_C", (Mat, PetscScalar **), (A, (PetscScalar **)array)); 2493 } 2494 *array = NULL; 2495 } 2496 PetscFunctionReturn(PETSC_SUCCESS); 2497 } 2498 2499 /*@C 2500 MatDenseGetArrayWriteAndMemType - gives write-only access to the array where the data for a `MATDENSE` matrix is stored 2501 2502 Logically Collective 2503 2504 Input Parameter: 2505 . A - a dense matrix 2506 2507 Output Parameters: 2508 + array - pointer to the data 2509 - mtype - memory type of the returned pointer 2510 2511 Level: intermediate 2512 2513 Note: 2514 If the matrix is of a device type such as `MATDENSECUDA`, `MATDENSEHIP`, etc., 2515 an array on device is always returned and is guaranteed to contain the matrix's latest data. 2516 2517 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreArrayWriteAndMemType()`, `MatDenseGetArrayReadAndMemType()`, `MatDenseGetArrayRead()`, 2518 `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()`, `MatSeqAIJGetCSRAndMemType()` 2519 @*/ 2520 PetscErrorCode MatDenseGetArrayWriteAndMemType(Mat A, PetscScalar *array[], PetscMemType *mtype) 2521 { 2522 PetscBool isMPI; 2523 2524 PetscFunctionBegin; 2525 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2526 PetscAssertPointer(array, 2); 2527 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 */ 2528 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2529 if (isMPI) { 2530 PetscCall(MatDenseGetArrayWriteAndMemType(((Mat_MPIDense *)A->data)->A, array, mtype)); 2531 } else { 2532 PetscErrorCode (*fptr)(Mat, PetscScalar **, PetscMemType *); 2533 2534 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseGetArrayWriteAndMemType_C", &fptr)); 2535 if (fptr) { 2536 PetscCall((*fptr)(A, array, mtype)); 2537 } else { 2538 PetscUseMethod(A, "MatDenseGetArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2539 if (mtype) *mtype = PETSC_MEMTYPE_HOST; 2540 } 2541 } 2542 PetscFunctionReturn(PETSC_SUCCESS); 2543 } 2544 2545 /*@C 2546 MatDenseRestoreArrayWriteAndMemType - returns access to the array that is obtained by `MatDenseGetArrayReadAndMemType()` 2547 2548 Logically Collective 2549 2550 Input Parameters: 2551 + A - a dense matrix 2552 - array - pointer to the data 2553 2554 Level: intermediate 2555 2556 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetArrayWriteAndMemType()`, `MatDenseGetArray()`, `MatDenseGetArrayRead()`, `MatDenseRestoreArrayRead()`, `MatDenseGetArrayWrite()`, `MatDenseRestoreArrayWrite()` 2557 @*/ 2558 PetscErrorCode MatDenseRestoreArrayWriteAndMemType(Mat A, PetscScalar *array[]) 2559 { 2560 PetscBool isMPI; 2561 2562 PetscFunctionBegin; 2563 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2564 PetscAssertPointer(array, 2); 2565 PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATMPIDENSE, &isMPI)); 2566 if (isMPI) { 2567 PetscCall(MatDenseRestoreArrayWriteAndMemType(((Mat_MPIDense *)A->data)->A, array)); 2568 } else { 2569 PetscErrorCode (*fptr)(Mat, PetscScalar **); 2570 2571 PetscCall(PetscObjectQueryFunction((PetscObject)A, "MatDenseRestoreArrayWriteAndMemType_C", &fptr)); 2572 if (fptr) { 2573 PetscCall((*fptr)(A, array)); 2574 } else { 2575 PetscUseMethod(A, "MatDenseRestoreArrayWrite_C", (Mat, PetscScalar **), (A, array)); 2576 } 2577 *array = NULL; 2578 } 2579 PetscCall(PetscObjectStateIncrease((PetscObject)A)); 2580 PetscFunctionReturn(PETSC_SUCCESS); 2581 } 2582 2583 static PetscErrorCode MatCreateSubMatrix_SeqDense(Mat A, IS isrow, IS iscol, MatReuse scall, Mat *B) 2584 { 2585 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2586 PetscInt i, j, nrows, ncols, ldb; 2587 const PetscInt *irow, *icol; 2588 PetscScalar *av, *bv, *v = mat->v; 2589 Mat newmat; 2590 2591 PetscFunctionBegin; 2592 PetscCall(ISGetIndices(isrow, &irow)); 2593 PetscCall(ISGetIndices(iscol, &icol)); 2594 PetscCall(ISGetLocalSize(isrow, &nrows)); 2595 PetscCall(ISGetLocalSize(iscol, &ncols)); 2596 2597 /* Check submatrixcall */ 2598 if (scall == MAT_REUSE_MATRIX) { 2599 PetscInt n_cols, n_rows; 2600 PetscCall(MatGetSize(*B, &n_rows, &n_cols)); 2601 if (n_rows != nrows || n_cols != ncols) { 2602 /* resize the result matrix to match number of requested rows/columns */ 2603 PetscCall(MatSetSizes(*B, nrows, ncols, nrows, ncols)); 2604 } 2605 newmat = *B; 2606 } else { 2607 /* Create and fill new matrix */ 2608 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &newmat)); 2609 PetscCall(MatSetSizes(newmat, nrows, ncols, nrows, ncols)); 2610 PetscCall(MatSetType(newmat, ((PetscObject)A)->type_name)); 2611 PetscCall(MatSeqDenseSetPreallocation(newmat, NULL)); 2612 } 2613 2614 /* Now extract the data pointers and do the copy,column at a time */ 2615 PetscCall(MatDenseGetArray(newmat, &bv)); 2616 PetscCall(MatDenseGetLDA(newmat, &ldb)); 2617 for (i = 0; i < ncols; i++) { 2618 av = v + mat->lda * icol[i]; 2619 for (j = 0; j < nrows; j++) bv[j] = av[irow[j]]; 2620 bv += ldb; 2621 } 2622 PetscCall(MatDenseRestoreArray(newmat, &bv)); 2623 2624 /* Assemble the matrices so that the correct flags are set */ 2625 PetscCall(MatAssemblyBegin(newmat, MAT_FINAL_ASSEMBLY)); 2626 PetscCall(MatAssemblyEnd(newmat, MAT_FINAL_ASSEMBLY)); 2627 2628 /* Free work space */ 2629 PetscCall(ISRestoreIndices(isrow, &irow)); 2630 PetscCall(ISRestoreIndices(iscol, &icol)); 2631 *B = newmat; 2632 PetscFunctionReturn(PETSC_SUCCESS); 2633 } 2634 2635 static PetscErrorCode MatCreateSubMatrices_SeqDense(Mat A, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *B[]) 2636 { 2637 PetscInt i; 2638 2639 PetscFunctionBegin; 2640 if (scall == MAT_INITIAL_MATRIX) PetscCall(PetscCalloc1(n, B)); 2641 2642 for (i = 0; i < n; i++) PetscCall(MatCreateSubMatrix_SeqDense(A, irow[i], icol[i], scall, &(*B)[i])); 2643 PetscFunctionReturn(PETSC_SUCCESS); 2644 } 2645 2646 static PetscErrorCode MatAssemblyBegin_SeqDense(Mat mat, MatAssemblyType mode) 2647 { 2648 PetscFunctionBegin; 2649 PetscFunctionReturn(PETSC_SUCCESS); 2650 } 2651 2652 static PetscErrorCode MatAssemblyEnd_SeqDense(Mat mat, MatAssemblyType mode) 2653 { 2654 PetscFunctionBegin; 2655 PetscFunctionReturn(PETSC_SUCCESS); 2656 } 2657 2658 PetscErrorCode MatCopy_SeqDense(Mat A, Mat B, MatStructure str) 2659 { 2660 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data; 2661 const PetscScalar *va; 2662 PetscScalar *vb; 2663 PetscInt lda1 = a->lda, lda2 = b->lda, m = A->rmap->n, n = A->cmap->n, j; 2664 2665 PetscFunctionBegin; 2666 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 2667 if (A->ops->copy != B->ops->copy) { 2668 PetscCall(MatCopy_Basic(A, B, str)); 2669 PetscFunctionReturn(PETSC_SUCCESS); 2670 } 2671 PetscCheck(m == B->rmap->n && n == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "size(B) != size(A)"); 2672 PetscCall(MatDenseGetArrayRead(A, &va)); 2673 PetscCall(MatDenseGetArray(B, &vb)); 2674 if (lda1 > m || lda2 > m) { 2675 for (j = 0; j < n; j++) PetscCall(PetscArraycpy(vb + j * lda2, va + j * lda1, m)); 2676 } else { 2677 PetscCall(PetscArraycpy(vb, va, A->rmap->n * A->cmap->n)); 2678 } 2679 PetscCall(MatDenseRestoreArray(B, &vb)); 2680 PetscCall(MatDenseRestoreArrayRead(A, &va)); 2681 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 2682 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 2683 PetscFunctionReturn(PETSC_SUCCESS); 2684 } 2685 2686 PetscErrorCode MatSetUp_SeqDense(Mat A) 2687 { 2688 PetscFunctionBegin; 2689 PetscCall(PetscLayoutSetUp(A->rmap)); 2690 PetscCall(PetscLayoutSetUp(A->cmap)); 2691 if (!A->preallocated) PetscCall(MatSeqDenseSetPreallocation(A, NULL)); 2692 PetscFunctionReturn(PETSC_SUCCESS); 2693 } 2694 2695 static PetscErrorCode MatConjugate_SeqDense(Mat A) 2696 { 2697 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2698 PetscInt i, j; 2699 PetscInt min = PetscMin(A->rmap->n, A->cmap->n); 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] = PetscConj(aa[i + j * mat->lda]); 2706 } 2707 PetscCall(MatDenseRestoreArray(A, &aa)); 2708 if (mat->tau) 2709 for (i = 0; i < min; i++) mat->tau[i] = PetscConj(mat->tau[i]); 2710 PetscFunctionReturn(PETSC_SUCCESS); 2711 } 2712 2713 static PetscErrorCode MatRealPart_SeqDense(Mat A) 2714 { 2715 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2716 PetscInt i, j; 2717 PetscScalar *aa; 2718 2719 PetscFunctionBegin; 2720 PetscCall(MatDenseGetArray(A, &aa)); 2721 for (j = 0; j < A->cmap->n; j++) { 2722 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscRealPart(aa[i + j * mat->lda]); 2723 } 2724 PetscCall(MatDenseRestoreArray(A, &aa)); 2725 PetscFunctionReturn(PETSC_SUCCESS); 2726 } 2727 2728 static PetscErrorCode MatImaginaryPart_SeqDense(Mat A) 2729 { 2730 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2731 PetscInt i, j; 2732 PetscScalar *aa; 2733 2734 PetscFunctionBegin; 2735 PetscCall(MatDenseGetArray(A, &aa)); 2736 for (j = 0; j < A->cmap->n; j++) { 2737 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscImaginaryPart(aa[i + j * mat->lda]); 2738 } 2739 PetscCall(MatDenseRestoreArray(A, &aa)); 2740 PetscFunctionReturn(PETSC_SUCCESS); 2741 } 2742 2743 PetscErrorCode MatMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2744 { 2745 PetscInt m = A->rmap->n, n = B->cmap->n; 2746 PetscBool cisdense = PETSC_FALSE; 2747 2748 PetscFunctionBegin; 2749 PetscCall(MatSetSizes(C, m, n, m, n)); 2750 #if defined(PETSC_HAVE_CUDA) 2751 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2752 #endif 2753 #if defined(PETSC_HAVE_HIP) 2754 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2755 #endif 2756 if (!cisdense) { 2757 PetscBool flg; 2758 2759 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2760 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2761 } 2762 PetscCall(MatSetUp(C)); 2763 PetscFunctionReturn(PETSC_SUCCESS); 2764 } 2765 2766 PetscErrorCode MatMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2767 { 2768 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data, *c = (Mat_SeqDense *)C->data; 2769 PetscBLASInt m, n, k; 2770 const PetscScalar *av, *bv; 2771 PetscScalar *cv; 2772 PetscScalar _DOne = 1.0, _DZero = 0.0; 2773 2774 PetscFunctionBegin; 2775 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2776 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2777 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2778 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2779 PetscCall(MatDenseGetArrayRead(A, &av)); 2780 PetscCall(MatDenseGetArrayRead(B, &bv)); 2781 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2782 PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2783 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2784 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2785 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2786 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2787 PetscFunctionReturn(PETSC_SUCCESS); 2788 } 2789 2790 PetscErrorCode MatMatTransposeMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2791 { 2792 PetscInt m = A->rmap->n, n = B->rmap->n; 2793 PetscBool cisdense = PETSC_FALSE; 2794 2795 PetscFunctionBegin; 2796 PetscCall(MatSetSizes(C, m, n, m, n)); 2797 #if defined(PETSC_HAVE_CUDA) 2798 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2799 #endif 2800 #if defined(PETSC_HAVE_HIP) 2801 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2802 #endif 2803 if (!cisdense) { 2804 PetscBool flg; 2805 2806 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2807 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2808 } 2809 PetscCall(MatSetUp(C)); 2810 PetscFunctionReturn(PETSC_SUCCESS); 2811 } 2812 2813 PetscErrorCode MatMatTransposeMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2814 { 2815 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2816 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2817 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2818 const PetscScalar *av, *bv; 2819 PetscScalar *cv; 2820 PetscBLASInt m, n, k; 2821 PetscScalar _DOne = 1.0, _DZero = 0.0; 2822 2823 PetscFunctionBegin; 2824 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2825 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2826 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2827 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2828 PetscCall(MatDenseGetArrayRead(A, &av)); 2829 PetscCall(MatDenseGetArrayRead(B, &bv)); 2830 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2831 PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2832 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2833 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2834 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2835 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2836 PetscFunctionReturn(PETSC_SUCCESS); 2837 } 2838 2839 PetscErrorCode MatTransposeMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2840 { 2841 PetscInt m = A->cmap->n, n = B->cmap->n; 2842 PetscBool cisdense = PETSC_FALSE; 2843 2844 PetscFunctionBegin; 2845 PetscCall(MatSetSizes(C, m, n, m, n)); 2846 #if defined(PETSC_HAVE_CUDA) 2847 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2848 #endif 2849 #if defined(PETSC_HAVE_HIP) 2850 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2851 #endif 2852 if (!cisdense) { 2853 PetscBool flg; 2854 2855 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2856 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2857 } 2858 PetscCall(MatSetUp(C)); 2859 PetscFunctionReturn(PETSC_SUCCESS); 2860 } 2861 2862 PetscErrorCode MatTransposeMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2863 { 2864 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2865 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2866 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2867 const PetscScalar *av, *bv; 2868 PetscScalar *cv; 2869 PetscBLASInt m, n, k; 2870 PetscScalar _DOne = 1.0, _DZero = 0.0; 2871 2872 PetscFunctionBegin; 2873 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2874 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2875 PetscCall(PetscBLASIntCast(A->rmap->n, &k)); 2876 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2877 PetscCall(MatDenseGetArrayRead(A, &av)); 2878 PetscCall(MatDenseGetArrayRead(B, &bv)); 2879 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2880 PetscCallBLAS("BLASgemm", BLASgemm_("T", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2881 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2882 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2883 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2884 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2885 PetscFunctionReturn(PETSC_SUCCESS); 2886 } 2887 2888 static PetscErrorCode MatProductSetFromOptions_SeqDense_AB(Mat C) 2889 { 2890 PetscFunctionBegin; 2891 C->ops->matmultsymbolic = MatMatMultSymbolic_SeqDense_SeqDense; 2892 C->ops->productsymbolic = MatProductSymbolic_AB; 2893 PetscFunctionReturn(PETSC_SUCCESS); 2894 } 2895 2896 static PetscErrorCode MatProductSetFromOptions_SeqDense_AtB(Mat C) 2897 { 2898 PetscFunctionBegin; 2899 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_SeqDense_SeqDense; 2900 C->ops->productsymbolic = MatProductSymbolic_AtB; 2901 PetscFunctionReturn(PETSC_SUCCESS); 2902 } 2903 2904 static PetscErrorCode MatProductSetFromOptions_SeqDense_ABt(Mat C) 2905 { 2906 PetscFunctionBegin; 2907 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_SeqDense_SeqDense; 2908 C->ops->productsymbolic = MatProductSymbolic_ABt; 2909 PetscFunctionReturn(PETSC_SUCCESS); 2910 } 2911 2912 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_SeqDense(Mat C) 2913 { 2914 Mat_Product *product = C->product; 2915 2916 PetscFunctionBegin; 2917 switch (product->type) { 2918 case MATPRODUCT_AB: 2919 PetscCall(MatProductSetFromOptions_SeqDense_AB(C)); 2920 break; 2921 case MATPRODUCT_AtB: 2922 PetscCall(MatProductSetFromOptions_SeqDense_AtB(C)); 2923 break; 2924 case MATPRODUCT_ABt: 2925 PetscCall(MatProductSetFromOptions_SeqDense_ABt(C)); 2926 break; 2927 default: 2928 break; 2929 } 2930 PetscFunctionReturn(PETSC_SUCCESS); 2931 } 2932 2933 static PetscErrorCode MatGetRowMax_SeqDense(Mat A, Vec v, PetscInt idx[]) 2934 { 2935 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2936 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2937 PetscScalar *x; 2938 const PetscScalar *aa; 2939 2940 PetscFunctionBegin; 2941 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2942 PetscCall(VecGetArray(v, &x)); 2943 PetscCall(VecGetLocalSize(v, &p)); 2944 PetscCall(MatDenseGetArrayRead(A, &aa)); 2945 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2946 for (i = 0; i < m; i++) { 2947 x[i] = aa[i]; 2948 if (idx) idx[i] = 0; 2949 for (j = 1; j < n; j++) { 2950 if (PetscRealPart(x[i]) < PetscRealPart(aa[i + a->lda * j])) { 2951 x[i] = aa[i + a->lda * j]; 2952 if (idx) idx[i] = j; 2953 } 2954 } 2955 } 2956 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2957 PetscCall(VecRestoreArray(v, &x)); 2958 PetscFunctionReturn(PETSC_SUCCESS); 2959 } 2960 2961 static PetscErrorCode MatGetRowMaxAbs_SeqDense(Mat A, Vec v, PetscInt idx[]) 2962 { 2963 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2964 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2965 PetscScalar *x; 2966 PetscReal atmp; 2967 const PetscScalar *aa; 2968 2969 PetscFunctionBegin; 2970 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2971 PetscCall(VecGetArray(v, &x)); 2972 PetscCall(VecGetLocalSize(v, &p)); 2973 PetscCall(MatDenseGetArrayRead(A, &aa)); 2974 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2975 for (i = 0; i < m; i++) { 2976 x[i] = PetscAbsScalar(aa[i]); 2977 for (j = 1; j < n; j++) { 2978 atmp = PetscAbsScalar(aa[i + a->lda * j]); 2979 if (PetscAbsScalar(x[i]) < atmp) { 2980 x[i] = atmp; 2981 if (idx) idx[i] = j; 2982 } 2983 } 2984 } 2985 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2986 PetscCall(VecRestoreArray(v, &x)); 2987 PetscFunctionReturn(PETSC_SUCCESS); 2988 } 2989 2990 static PetscErrorCode MatGetRowMin_SeqDense(Mat A, Vec v, PetscInt idx[]) 2991 { 2992 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2993 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2994 PetscScalar *x; 2995 const PetscScalar *aa; 2996 2997 PetscFunctionBegin; 2998 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2999 PetscCall(MatDenseGetArrayRead(A, &aa)); 3000 PetscCall(VecGetArray(v, &x)); 3001 PetscCall(VecGetLocalSize(v, &p)); 3002 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 3003 for (i = 0; i < m; i++) { 3004 x[i] = aa[i]; 3005 if (idx) idx[i] = 0; 3006 for (j = 1; j < n; j++) { 3007 if (PetscRealPart(x[i]) > PetscRealPart(aa[i + a->lda * j])) { 3008 x[i] = aa[i + a->lda * j]; 3009 if (idx) idx[i] = j; 3010 } 3011 } 3012 } 3013 PetscCall(VecRestoreArray(v, &x)); 3014 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 3015 PetscFunctionReturn(PETSC_SUCCESS); 3016 } 3017 3018 PetscErrorCode MatGetColumnVector_SeqDense(Mat A, Vec v, PetscInt col) 3019 { 3020 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3021 PetscScalar *x; 3022 const PetscScalar *aa; 3023 3024 PetscFunctionBegin; 3025 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 3026 PetscCall(MatDenseGetArrayRead(A, &aa)); 3027 PetscCall(VecGetArray(v, &x)); 3028 PetscCall(PetscArraycpy(x, aa + col * a->lda, A->rmap->n)); 3029 PetscCall(VecRestoreArray(v, &x)); 3030 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 3031 PetscFunctionReturn(PETSC_SUCCESS); 3032 } 3033 3034 PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat A, PetscInt type, PetscReal *reductions) 3035 { 3036 PetscInt i, j, m, n; 3037 const PetscScalar *a; 3038 3039 PetscFunctionBegin; 3040 PetscCall(MatGetSize(A, &m, &n)); 3041 PetscCall(PetscArrayzero(reductions, n)); 3042 PetscCall(MatDenseGetArrayRead(A, &a)); 3043 if (type == NORM_2) { 3044 for (i = 0; i < n; i++) { 3045 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j] * a[j]); 3046 a = PetscSafePointerPlusOffset(a, m); 3047 } 3048 } else if (type == NORM_1) { 3049 for (i = 0; i < n; i++) { 3050 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j]); 3051 a = PetscSafePointerPlusOffset(a, m); 3052 } 3053 } else if (type == NORM_INFINITY) { 3054 for (i = 0; i < n; i++) { 3055 for (j = 0; j < m; j++) reductions[i] = PetscMax(PetscAbsScalar(a[j]), reductions[i]); 3056 a = PetscSafePointerPlusOffset(a, m); 3057 } 3058 } else if (type == REDUCTION_SUM_REALPART || type == REDUCTION_MEAN_REALPART) { 3059 for (i = 0; i < n; i++) { 3060 for (j = 0; j < m; j++) reductions[i] += PetscRealPart(a[j]); 3061 a = PetscSafePointerPlusOffset(a, m); 3062 } 3063 } else if (type == REDUCTION_SUM_IMAGINARYPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3064 for (i = 0; i < n; i++) { 3065 for (j = 0; j < m; j++) reductions[i] += PetscImaginaryPart(a[j]); 3066 a = PetscSafePointerPlusOffset(a, m); 3067 } 3068 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Unknown reduction type"); 3069 PetscCall(MatDenseRestoreArrayRead(A, &a)); 3070 if (type == NORM_2) { 3071 for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]); 3072 } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3073 for (i = 0; i < n; i++) reductions[i] /= m; 3074 } 3075 PetscFunctionReturn(PETSC_SUCCESS); 3076 } 3077 3078 PetscErrorCode MatSetRandom_SeqDense(Mat x, PetscRandom rctx) 3079 { 3080 PetscScalar *a; 3081 PetscInt lda, m, n, i, j; 3082 3083 PetscFunctionBegin; 3084 PetscCall(MatGetSize(x, &m, &n)); 3085 PetscCall(MatDenseGetLDA(x, &lda)); 3086 PetscCall(MatDenseGetArrayWrite(x, &a)); 3087 for (j = 0; j < n; j++) { 3088 for (i = 0; i < m; i++) PetscCall(PetscRandomGetValue(rctx, a + j * lda + i)); 3089 } 3090 PetscCall(MatDenseRestoreArrayWrite(x, &a)); 3091 PetscFunctionReturn(PETSC_SUCCESS); 3092 } 3093 3094 static PetscErrorCode MatMissingDiagonal_SeqDense(Mat A, PetscBool *missing, PetscInt *d) 3095 { 3096 PetscFunctionBegin; 3097 *missing = PETSC_FALSE; 3098 PetscFunctionReturn(PETSC_SUCCESS); 3099 } 3100 3101 /* vals is not const */ 3102 static PetscErrorCode MatDenseGetColumn_SeqDense(Mat A, PetscInt col, PetscScalar **vals) 3103 { 3104 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3105 PetscScalar *v; 3106 3107 PetscFunctionBegin; 3108 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 3109 PetscCall(MatDenseGetArray(A, &v)); 3110 *vals = v + col * a->lda; 3111 PetscCall(MatDenseRestoreArray(A, &v)); 3112 PetscFunctionReturn(PETSC_SUCCESS); 3113 } 3114 3115 static PetscErrorCode MatDenseRestoreColumn_SeqDense(Mat A, PetscScalar **vals) 3116 { 3117 PetscFunctionBegin; 3118 if (vals) *vals = NULL; /* user cannot accidentally use the array later */ 3119 PetscFunctionReturn(PETSC_SUCCESS); 3120 } 3121 3122 static struct _MatOps MatOps_Values = {MatSetValues_SeqDense, 3123 MatGetRow_SeqDense, 3124 MatRestoreRow_SeqDense, 3125 MatMult_SeqDense, 3126 /* 4*/ MatMultAdd_SeqDense, 3127 MatMultTranspose_SeqDense, 3128 MatMultTransposeAdd_SeqDense, 3129 NULL, 3130 NULL, 3131 NULL, 3132 /* 10*/ NULL, 3133 MatLUFactor_SeqDense, 3134 MatCholeskyFactor_SeqDense, 3135 MatSOR_SeqDense, 3136 MatTranspose_SeqDense, 3137 /* 15*/ MatGetInfo_SeqDense, 3138 MatEqual_SeqDense, 3139 MatGetDiagonal_SeqDense, 3140 MatDiagonalScale_SeqDense, 3141 MatNorm_SeqDense, 3142 /* 20*/ MatAssemblyBegin_SeqDense, 3143 MatAssemblyEnd_SeqDense, 3144 MatSetOption_SeqDense, 3145 MatZeroEntries_SeqDense, 3146 /* 24*/ MatZeroRows_SeqDense, 3147 NULL, 3148 NULL, 3149 NULL, 3150 NULL, 3151 /* 29*/ MatSetUp_SeqDense, 3152 NULL, 3153 NULL, 3154 NULL, 3155 NULL, 3156 /* 34*/ MatDuplicate_SeqDense, 3157 NULL, 3158 NULL, 3159 NULL, 3160 NULL, 3161 /* 39*/ MatAXPY_SeqDense, 3162 MatCreateSubMatrices_SeqDense, 3163 NULL, 3164 MatGetValues_SeqDense, 3165 MatCopy_SeqDense, 3166 /* 44*/ MatGetRowMax_SeqDense, 3167 MatScale_SeqDense, 3168 MatShift_SeqDense, 3169 NULL, 3170 MatZeroRowsColumns_SeqDense, 3171 /* 49*/ MatSetRandom_SeqDense, 3172 NULL, 3173 NULL, 3174 NULL, 3175 NULL, 3176 /* 54*/ NULL, 3177 NULL, 3178 NULL, 3179 NULL, 3180 NULL, 3181 /* 59*/ MatCreateSubMatrix_SeqDense, 3182 MatDestroy_SeqDense, 3183 MatView_SeqDense, 3184 NULL, 3185 NULL, 3186 /* 64*/ NULL, 3187 NULL, 3188 NULL, 3189 NULL, 3190 NULL, 3191 /* 69*/ MatGetRowMaxAbs_SeqDense, 3192 NULL, 3193 NULL, 3194 NULL, 3195 NULL, 3196 /* 74*/ NULL, 3197 NULL, 3198 NULL, 3199 NULL, 3200 NULL, 3201 /* 79*/ NULL, 3202 NULL, 3203 NULL, 3204 NULL, 3205 /* 83*/ MatLoad_SeqDense, 3206 MatIsSymmetric_SeqDense, 3207 MatIsHermitian_SeqDense, 3208 NULL, 3209 NULL, 3210 NULL, 3211 /* 89*/ NULL, 3212 NULL, 3213 MatMatMultNumeric_SeqDense_SeqDense, 3214 NULL, 3215 NULL, 3216 /* 94*/ NULL, 3217 NULL, 3218 NULL, 3219 MatMatTransposeMultNumeric_SeqDense_SeqDense, 3220 NULL, 3221 /* 99*/ MatProductSetFromOptions_SeqDense, 3222 NULL, 3223 NULL, 3224 MatConjugate_SeqDense, 3225 NULL, 3226 /*104*/ NULL, 3227 MatRealPart_SeqDense, 3228 MatImaginaryPart_SeqDense, 3229 NULL, 3230 NULL, 3231 /*109*/ NULL, 3232 NULL, 3233 MatGetRowMin_SeqDense, 3234 MatGetColumnVector_SeqDense, 3235 MatMissingDiagonal_SeqDense, 3236 /*114*/ NULL, 3237 NULL, 3238 NULL, 3239 NULL, 3240 NULL, 3241 /*119*/ NULL, 3242 NULL, 3243 MatMultHermitianTranspose_SeqDense, 3244 MatMultHermitianTransposeAdd_SeqDense, 3245 NULL, 3246 /*124*/ NULL, 3247 MatGetColumnReductions_SeqDense, 3248 NULL, 3249 NULL, 3250 NULL, 3251 /*129*/ NULL, 3252 NULL, 3253 NULL, 3254 MatTransposeMatMultNumeric_SeqDense_SeqDense, 3255 NULL, 3256 /*134*/ NULL, 3257 NULL, 3258 NULL, 3259 NULL, 3260 NULL, 3261 /*139*/ NULL, 3262 NULL, 3263 NULL, 3264 NULL, 3265 NULL, 3266 MatCreateMPIMatConcatenateSeqMat_SeqDense, 3267 /*145*/ NULL, 3268 NULL, 3269 NULL, 3270 NULL, 3271 NULL, 3272 /*150*/ NULL, 3273 NULL, 3274 NULL, 3275 NULL, 3276 NULL, 3277 /*155*/ NULL, 3278 NULL}; 3279 3280 /*@ 3281 MatCreateSeqDense - Creates a `MATSEQDENSE` that 3282 is stored in column major order (the usual Fortran format). 3283 3284 Collective 3285 3286 Input Parameters: 3287 + comm - MPI communicator, set to `PETSC_COMM_SELF` 3288 . m - number of rows 3289 . n - number of columns 3290 - data - optional location of matrix data in column major order. Use `NULL` for PETSc 3291 to control all matrix memory allocation. 3292 3293 Output Parameter: 3294 . A - the matrix 3295 3296 Level: intermediate 3297 3298 Note: 3299 The data input variable is intended primarily for Fortran programmers 3300 who wish to allocate their own matrix memory space. Most users should 3301 set `data` = `NULL`. 3302 3303 Developer Note: 3304 Many of the matrix operations for this variant use the BLAS and LAPACK routines. 3305 3306 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()` 3307 @*/ 3308 PetscErrorCode MatCreateSeqDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscScalar data[], Mat *A) 3309 { 3310 PetscFunctionBegin; 3311 PetscCall(MatCreate(comm, A)); 3312 PetscCall(MatSetSizes(*A, m, n, m, n)); 3313 PetscCall(MatSetType(*A, MATSEQDENSE)); 3314 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 3315 PetscFunctionReturn(PETSC_SUCCESS); 3316 } 3317 3318 /*@ 3319 MatSeqDenseSetPreallocation - Sets the array used for storing the matrix elements of a `MATSEQDENSE` matrix 3320 3321 Collective 3322 3323 Input Parameters: 3324 + B - the matrix 3325 - data - the array (or `NULL`) 3326 3327 Level: intermediate 3328 3329 Note: 3330 The data input variable is intended primarily for Fortran programmers 3331 who wish to allocate their own matrix memory space. Most users should 3332 need not call this routine. 3333 3334 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()`, `MatDenseSetLDA()` 3335 @*/ 3336 PetscErrorCode MatSeqDenseSetPreallocation(Mat B, PetscScalar data[]) 3337 { 3338 PetscFunctionBegin; 3339 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 3340 PetscTryMethod(B, "MatSeqDenseSetPreallocation_C", (Mat, PetscScalar[]), (B, data)); 3341 PetscFunctionReturn(PETSC_SUCCESS); 3342 } 3343 3344 PetscErrorCode MatSeqDenseSetPreallocation_SeqDense(Mat B, PetscScalar *data) 3345 { 3346 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3347 3348 PetscFunctionBegin; 3349 PetscCheck(!b->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3350 B->preallocated = PETSC_TRUE; 3351 3352 PetscCall(PetscLayoutSetUp(B->rmap)); 3353 PetscCall(PetscLayoutSetUp(B->cmap)); 3354 3355 if (b->lda <= 0) PetscCall(PetscBLASIntCast(B->rmap->n, &b->lda)); 3356 3357 if (!data) { /* petsc-allocated storage */ 3358 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3359 PetscCall(PetscCalloc1((size_t)b->lda * B->cmap->n, &b->v)); 3360 3361 b->user_alloc = PETSC_FALSE; 3362 } else { /* user-allocated storage */ 3363 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3364 b->v = data; 3365 b->user_alloc = PETSC_TRUE; 3366 } 3367 B->assembled = PETSC_TRUE; 3368 PetscFunctionReturn(PETSC_SUCCESS); 3369 } 3370 3371 #if defined(PETSC_HAVE_ELEMENTAL) 3372 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 3373 { 3374 Mat mat_elemental; 3375 const PetscScalar *array; 3376 PetscScalar *v_colwise; 3377 PetscInt M = A->rmap->N, N = A->cmap->N, i, j, k, *rows, *cols; 3378 3379 PetscFunctionBegin; 3380 PetscCall(PetscMalloc3(M * N, &v_colwise, M, &rows, N, &cols)); 3381 PetscCall(MatDenseGetArrayRead(A, &array)); 3382 /* convert column-wise array into row-wise v_colwise, see MatSetValues_Elemental() */ 3383 k = 0; 3384 for (j = 0; j < N; j++) { 3385 cols[j] = j; 3386 for (i = 0; i < M; i++) v_colwise[j * M + i] = array[k++]; 3387 } 3388 for (i = 0; i < M; i++) rows[i] = i; 3389 PetscCall(MatDenseRestoreArrayRead(A, &array)); 3390 3391 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 3392 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, M, N)); 3393 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 3394 PetscCall(MatSetUp(mat_elemental)); 3395 3396 /* PETSc-Elemental interaface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 3397 PetscCall(MatSetValues(mat_elemental, M, rows, N, cols, v_colwise, ADD_VALUES)); 3398 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 3399 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 3400 PetscCall(PetscFree3(v_colwise, rows, cols)); 3401 3402 if (reuse == MAT_INPLACE_MATRIX) { 3403 PetscCall(MatHeaderReplace(A, &mat_elemental)); 3404 } else { 3405 *newmat = mat_elemental; 3406 } 3407 PetscFunctionReturn(PETSC_SUCCESS); 3408 } 3409 #endif 3410 3411 PetscErrorCode MatDenseSetLDA_SeqDense(Mat B, PetscInt lda) 3412 { 3413 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3414 PetscBool data; 3415 3416 PetscFunctionBegin; 3417 data = (B->rmap->n > 0 && B->cmap->n > 0) ? (b->v ? PETSC_TRUE : PETSC_FALSE) : PETSC_FALSE; 3418 PetscCheck(b->user_alloc || !data || b->lda == lda, PETSC_COMM_SELF, PETSC_ERR_ORDER, "LDA cannot be changed after allocation of internal storage"); 3419 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); 3420 PetscCall(PetscBLASIntCast(lda, &b->lda)); 3421 PetscFunctionReturn(PETSC_SUCCESS); 3422 } 3423 3424 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 3425 { 3426 PetscFunctionBegin; 3427 PetscCall(MatCreateMPIMatConcatenateSeqMat_MPIDense(comm, inmat, n, scall, outmat)); 3428 PetscFunctionReturn(PETSC_SUCCESS); 3429 } 3430 3431 PetscErrorCode MatDenseCreateColumnVec_Private(Mat A, Vec *v) 3432 { 3433 PetscBool isstd, iskok, iscuda, iship; 3434 PetscMPIInt size; 3435 #if PetscDefined(HAVE_CUDA) || PetscDefined(HAVE_HIP) 3436 /* we pass the data of A, to prevent allocating needless GPU memory the first time VecCUPMPlaceArray is called. */ 3437 const PetscScalar *a; 3438 #endif 3439 3440 PetscFunctionBegin; 3441 *v = NULL; 3442 PetscCall(PetscStrcmpAny(A->defaultvectype, &isstd, VECSTANDARD, VECSEQ, VECMPI, "")); 3443 PetscCall(PetscStrcmpAny(A->defaultvectype, &iskok, VECKOKKOS, VECSEQKOKKOS, VECMPIKOKKOS, "")); 3444 PetscCall(PetscStrcmpAny(A->defaultvectype, &iscuda, VECCUDA, VECSEQCUDA, VECMPICUDA, "")); 3445 PetscCall(PetscStrcmpAny(A->defaultvectype, &iship, VECHIP, VECSEQHIP, VECMPIHIP, "")); 3446 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 3447 if (isstd) { 3448 if (size > 1) PetscCall(VecCreateMPIWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3449 else PetscCall(VecCreateSeqWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3450 } else if (iskok) { 3451 PetscCheck(PetscDefined(HAVE_KOKKOS_KERNELS), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using KOKKOS kernels support"); 3452 #if PetscDefined(HAVE_KOKKOS_KERNELS) 3453 if (size > 1) PetscCall(VecCreateMPIKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3454 else PetscCall(VecCreateSeqKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3455 #endif 3456 } else if (iscuda) { 3457 PetscCheck(PetscDefined(HAVE_CUDA), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using CUDA support"); 3458 #if PetscDefined(HAVE_CUDA) 3459 PetscCall(MatDenseCUDAGetArrayRead(A, &a)); 3460 if (size > 1) PetscCall(VecCreateMPICUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3461 else PetscCall(VecCreateSeqCUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3462 #endif 3463 } else if (iship) { 3464 PetscCheck(PetscDefined(HAVE_HIP), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using HIP support"); 3465 #if PetscDefined(HAVE_HIP) 3466 PetscCall(MatDenseHIPGetArrayRead(A, &a)); 3467 if (size > 1) PetscCall(VecCreateMPIHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3468 else PetscCall(VecCreateSeqHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3469 #endif 3470 } 3471 PetscCheck(*v, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not coded for type %s", A->defaultvectype); 3472 PetscFunctionReturn(PETSC_SUCCESS); 3473 } 3474 3475 PetscErrorCode MatDenseGetColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3476 { 3477 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3478 3479 PetscFunctionBegin; 3480 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3481 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3482 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3483 a->vecinuse = col + 1; 3484 PetscCall(MatDenseGetArray(A, (PetscScalar **)&a->ptrinuse)); 3485 PetscCall(VecPlaceArray(a->cvec, a->ptrinuse + (size_t)col * (size_t)a->lda)); 3486 *v = a->cvec; 3487 PetscFunctionReturn(PETSC_SUCCESS); 3488 } 3489 3490 PetscErrorCode MatDenseRestoreColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3491 { 3492 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3493 3494 PetscFunctionBegin; 3495 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3496 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3497 VecCheckAssembled(a->cvec); 3498 a->vecinuse = 0; 3499 PetscCall(MatDenseRestoreArray(A, (PetscScalar **)&a->ptrinuse)); 3500 PetscCall(VecResetArray(a->cvec)); 3501 if (v) *v = NULL; 3502 PetscFunctionReturn(PETSC_SUCCESS); 3503 } 3504 3505 PetscErrorCode MatDenseGetColumnVecRead_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(MatDenseGetArrayRead(A, &a->ptrinuse)); 3515 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3516 PetscCall(VecLockReadPush(a->cvec)); 3517 *v = a->cvec; 3518 PetscFunctionReturn(PETSC_SUCCESS); 3519 } 3520 3521 PetscErrorCode MatDenseRestoreColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3522 { 3523 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3524 3525 PetscFunctionBegin; 3526 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3527 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3528 VecCheckAssembled(a->cvec); 3529 a->vecinuse = 0; 3530 PetscCall(MatDenseRestoreArrayRead(A, &a->ptrinuse)); 3531 PetscCall(VecLockReadPop(a->cvec)); 3532 PetscCall(VecResetArray(a->cvec)); 3533 if (v) *v = NULL; 3534 PetscFunctionReturn(PETSC_SUCCESS); 3535 } 3536 3537 PetscErrorCode MatDenseGetColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3538 { 3539 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3540 3541 PetscFunctionBegin; 3542 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3543 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3544 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3545 a->vecinuse = col + 1; 3546 PetscCall(MatDenseGetArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3547 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3548 *v = a->cvec; 3549 PetscFunctionReturn(PETSC_SUCCESS); 3550 } 3551 3552 PetscErrorCode MatDenseRestoreColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3553 { 3554 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3555 3556 PetscFunctionBegin; 3557 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3558 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3559 VecCheckAssembled(a->cvec); 3560 a->vecinuse = 0; 3561 PetscCall(MatDenseRestoreArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3562 PetscCall(VecResetArray(a->cvec)); 3563 if (v) *v = NULL; 3564 PetscFunctionReturn(PETSC_SUCCESS); 3565 } 3566 3567 PetscErrorCode MatDenseGetSubMatrix_SeqDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3568 { 3569 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3570 3571 PetscFunctionBegin; 3572 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3573 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3574 if (a->cmat && (cend - cbegin != a->cmat->cmap->N || rend - rbegin != a->cmat->rmap->N)) PetscCall(MatDestroy(&a->cmat)); 3575 if (!a->cmat) { 3576 PetscCall(MatCreateDense(PetscObjectComm((PetscObject)A), rend - rbegin, PETSC_DECIDE, rend - rbegin, cend - cbegin, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda), &a->cmat)); 3577 } else { 3578 PetscCall(MatDensePlaceArray(a->cmat, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda))); 3579 } 3580 PetscCall(MatDenseSetLDA(a->cmat, a->lda)); 3581 a->matinuse = cbegin + 1; 3582 *v = a->cmat; 3583 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3584 A->offloadmask = PETSC_OFFLOAD_CPU; 3585 #endif 3586 PetscFunctionReturn(PETSC_SUCCESS); 3587 } 3588 3589 PetscErrorCode MatDenseRestoreSubMatrix_SeqDense(Mat A, Mat *v) 3590 { 3591 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3592 3593 PetscFunctionBegin; 3594 PetscCheck(a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 3595 PetscCheck(a->cmat, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column matrix"); 3596 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 3597 a->matinuse = 0; 3598 PetscCall(MatDenseResetArray(a->cmat)); 3599 if (v) *v = NULL; 3600 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3601 A->offloadmask = PETSC_OFFLOAD_CPU; 3602 #endif 3603 PetscFunctionReturn(PETSC_SUCCESS); 3604 } 3605 3606 /*MC 3607 MATSEQDENSE - MATSEQDENSE = "seqdense" - A matrix type to be used for sequential dense matrices. 3608 3609 Options Database Key: 3610 . -mat_type seqdense - sets the matrix type to `MATSEQDENSE` during a call to `MatSetFromOptions()` 3611 3612 Level: beginner 3613 3614 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreateSeqDense()` 3615 M*/ 3616 PetscErrorCode MatCreate_SeqDense(Mat B) 3617 { 3618 Mat_SeqDense *b; 3619 PetscMPIInt size; 3620 3621 PetscFunctionBegin; 3622 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size)); 3623 PetscCheck(size <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Comm must be of size 1"); 3624 3625 PetscCall(PetscNew(&b)); 3626 B->data = (void *)b; 3627 B->ops[0] = MatOps_Values; 3628 3629 b->roworiented = PETSC_TRUE; 3630 3631 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatQRFactor_C", MatQRFactor_SeqDense)); 3632 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetLDA_C", MatDenseGetLDA_SeqDense)); 3633 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseSetLDA_C", MatDenseSetLDA_SeqDense)); 3634 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArray_C", MatDenseGetArray_SeqDense)); 3635 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArray_C", MatDenseRestoreArray_SeqDense)); 3636 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDensePlaceArray_C", MatDensePlaceArray_SeqDense)); 3637 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseResetArray_C", MatDenseResetArray_SeqDense)); 3638 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseReplaceArray_C", MatDenseReplaceArray_SeqDense)); 3639 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayRead_C", MatDenseGetArray_SeqDense)); 3640 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayRead_C", MatDenseRestoreArray_SeqDense)); 3641 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayWrite_C", MatDenseGetArray_SeqDense)); 3642 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArray_SeqDense)); 3643 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqaij_C", MatConvert_SeqDense_SeqAIJ)); 3644 #if defined(PETSC_HAVE_ELEMENTAL) 3645 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_elemental_C", MatConvert_SeqDense_Elemental)); 3646 #endif 3647 #if defined(PETSC_HAVE_SCALAPACK) 3648 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 3649 #endif 3650 #if defined(PETSC_HAVE_CUDA) 3651 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensecuda_C", MatConvert_SeqDense_SeqDenseCUDA)); 3652 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3653 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdense_C", MatProductSetFromOptions_SeqDense)); 3654 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3655 #endif 3656 #if defined(PETSC_HAVE_HIP) 3657 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensehip_C", MatConvert_SeqDense_SeqDenseHIP)); 3658 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3659 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdense_C", MatProductSetFromOptions_SeqDense)); 3660 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3661 #endif 3662 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqDenseSetPreallocation_C", MatSeqDenseSetPreallocation_SeqDense)); 3663 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqaij_seqdense_C", MatProductSetFromOptions_SeqAIJ_SeqDense)); 3664 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdense_C", MatProductSetFromOptions_SeqDense)); 3665 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3666 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqsbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3667 3668 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumn_C", MatDenseGetColumn_SeqDense)); 3669 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_SeqDense)); 3670 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_SeqDense)); 3671 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_SeqDense)); 3672 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_SeqDense)); 3673 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_SeqDense)); 3674 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_SeqDense)); 3675 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_SeqDense)); 3676 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_SeqDense)); 3677 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_SeqDense)); 3678 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultAddColumnRange_C", MatMultAddColumnRange_SeqDense)); 3679 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_SeqDense)); 3680 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_SeqDense)); 3681 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQDENSE)); 3682 PetscFunctionReturn(PETSC_SUCCESS); 3683 } 3684 3685 /*@C 3686 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. 3687 3688 Not Collective 3689 3690 Input Parameters: 3691 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3692 - col - column index 3693 3694 Output Parameter: 3695 . vals - pointer to the data 3696 3697 Level: intermediate 3698 3699 Note: 3700 Use `MatDenseGetColumnVec()` to get access to a column of a `MATDENSE` treated as a `Vec` 3701 3702 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreColumn()`, `MatDenseGetColumnVec()` 3703 @*/ 3704 PetscErrorCode MatDenseGetColumn(Mat A, PetscInt col, PetscScalar *vals[]) 3705 { 3706 PetscFunctionBegin; 3707 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3708 PetscValidLogicalCollectiveInt(A, col, 2); 3709 PetscAssertPointer(vals, 3); 3710 PetscUseMethod(A, "MatDenseGetColumn_C", (Mat, PetscInt, PetscScalar **), (A, col, vals)); 3711 PetscFunctionReturn(PETSC_SUCCESS); 3712 } 3713 3714 /*@C 3715 MatDenseRestoreColumn - returns access to a column of a `MATDENSE` matrix which is returned by `MatDenseGetColumn()`. 3716 3717 Not Collective 3718 3719 Input Parameters: 3720 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3721 - vals - pointer to the data (may be `NULL`) 3722 3723 Level: intermediate 3724 3725 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetColumn()` 3726 @*/ 3727 PetscErrorCode MatDenseRestoreColumn(Mat A, PetscScalar *vals[]) 3728 { 3729 PetscFunctionBegin; 3730 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3731 PetscAssertPointer(vals, 2); 3732 PetscUseMethod(A, "MatDenseRestoreColumn_C", (Mat, PetscScalar **), (A, vals)); 3733 PetscFunctionReturn(PETSC_SUCCESS); 3734 } 3735 3736 /*@ 3737 MatDenseGetColumnVec - Gives read-write access to a column of a `MATDENSE` matrix, represented as a `Vec`. 3738 3739 Collective 3740 3741 Input Parameters: 3742 + A - the `Mat` object 3743 - col - the column index 3744 3745 Output Parameter: 3746 . v - the vector 3747 3748 Level: intermediate 3749 3750 Notes: 3751 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVec()` when the vector is no longer needed. 3752 3753 Use `MatDenseGetColumnVecRead()` to obtain read-only access or `MatDenseGetColumnVecWrite()` for write-only access. 3754 3755 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()`, `MatDenseGetColumn()` 3756 @*/ 3757 PetscErrorCode MatDenseGetColumnVec(Mat A, PetscInt col, Vec *v) 3758 { 3759 PetscFunctionBegin; 3760 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3761 PetscValidType(A, 1); 3762 PetscValidLogicalCollectiveInt(A, col, 2); 3763 PetscAssertPointer(v, 3); 3764 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3765 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); 3766 PetscUseMethod(A, "MatDenseGetColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3767 PetscFunctionReturn(PETSC_SUCCESS); 3768 } 3769 3770 /*@ 3771 MatDenseRestoreColumnVec - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVec()`. 3772 3773 Collective 3774 3775 Input Parameters: 3776 + A - the `Mat` object 3777 . col - the column index 3778 - v - the `Vec` object (may be `NULL`) 3779 3780 Level: intermediate 3781 3782 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3783 @*/ 3784 PetscErrorCode MatDenseRestoreColumnVec(Mat A, PetscInt col, Vec *v) 3785 { 3786 PetscFunctionBegin; 3787 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3788 PetscValidType(A, 1); 3789 PetscValidLogicalCollectiveInt(A, col, 2); 3790 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3791 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); 3792 PetscUseMethod(A, "MatDenseRestoreColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3793 PetscFunctionReturn(PETSC_SUCCESS); 3794 } 3795 3796 /*@ 3797 MatDenseGetColumnVecRead - Gives read-only access to a column of a dense matrix, represented as a `Vec`. 3798 3799 Collective 3800 3801 Input Parameters: 3802 + A - the `Mat` object 3803 - col - the column index 3804 3805 Output Parameter: 3806 . v - the vector 3807 3808 Level: intermediate 3809 3810 Notes: 3811 The vector is owned by PETSc and users cannot modify it. 3812 3813 Users need to call `MatDenseRestoreColumnVecRead()` when the vector is no longer needed. 3814 3815 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecWrite()` for write-only access. 3816 3817 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3818 @*/ 3819 PetscErrorCode MatDenseGetColumnVecRead(Mat A, PetscInt col, Vec *v) 3820 { 3821 PetscFunctionBegin; 3822 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3823 PetscValidType(A, 1); 3824 PetscValidLogicalCollectiveInt(A, col, 2); 3825 PetscAssertPointer(v, 3); 3826 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3827 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); 3828 PetscUseMethod(A, "MatDenseGetColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3829 PetscFunctionReturn(PETSC_SUCCESS); 3830 } 3831 3832 /*@ 3833 MatDenseRestoreColumnVecRead - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecRead()`. 3834 3835 Collective 3836 3837 Input Parameters: 3838 + A - the `Mat` object 3839 . col - the column index 3840 - v - the `Vec` object (may be `NULL`) 3841 3842 Level: intermediate 3843 3844 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecWrite()` 3845 @*/ 3846 PetscErrorCode MatDenseRestoreColumnVecRead(Mat A, PetscInt col, Vec *v) 3847 { 3848 PetscFunctionBegin; 3849 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3850 PetscValidType(A, 1); 3851 PetscValidLogicalCollectiveInt(A, col, 2); 3852 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3853 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); 3854 PetscUseMethod(A, "MatDenseRestoreColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3855 PetscFunctionReturn(PETSC_SUCCESS); 3856 } 3857 3858 /*@ 3859 MatDenseGetColumnVecWrite - Gives write-only access to a column of a dense matrix, represented as a `Vec`. 3860 3861 Collective 3862 3863 Input Parameters: 3864 + A - the `Mat` object 3865 - col - the column index 3866 3867 Output Parameter: 3868 . v - the vector 3869 3870 Level: intermediate 3871 3872 Notes: 3873 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVecWrite()` when the vector is no longer needed. 3874 3875 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecRead()` for read-only access. 3876 3877 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3878 @*/ 3879 PetscErrorCode MatDenseGetColumnVecWrite(Mat A, PetscInt col, Vec *v) 3880 { 3881 PetscFunctionBegin; 3882 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3883 PetscValidType(A, 1); 3884 PetscValidLogicalCollectiveInt(A, col, 2); 3885 PetscAssertPointer(v, 3); 3886 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3887 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); 3888 PetscUseMethod(A, "MatDenseGetColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3889 PetscFunctionReturn(PETSC_SUCCESS); 3890 } 3891 3892 /*@ 3893 MatDenseRestoreColumnVecWrite - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecWrite()`. 3894 3895 Collective 3896 3897 Input Parameters: 3898 + A - the `Mat` object 3899 . col - the column index 3900 - v - the `Vec` object (may be `NULL`) 3901 3902 Level: intermediate 3903 3904 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()` 3905 @*/ 3906 PetscErrorCode MatDenseRestoreColumnVecWrite(Mat A, PetscInt col, Vec *v) 3907 { 3908 PetscFunctionBegin; 3909 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3910 PetscValidType(A, 1); 3911 PetscValidLogicalCollectiveInt(A, col, 2); 3912 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3913 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); 3914 PetscUseMethod(A, "MatDenseRestoreColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3915 PetscFunctionReturn(PETSC_SUCCESS); 3916 } 3917 3918 /*@ 3919 MatDenseGetSubMatrix - Gives access to a block of rows and columns of a dense matrix, represented as a `Mat`. 3920 3921 Collective 3922 3923 Input Parameters: 3924 + A - the `Mat` object 3925 . rbegin - the first global row index in the block (if `PETSC_DECIDE`, is 0) 3926 . rend - the global row index past the last one in the block (if `PETSC_DECIDE`, is `M`) 3927 . cbegin - the first global column index in the block (if `PETSC_DECIDE`, is 0) 3928 - cend - the global column index past the last one in the block (if `PETSC_DECIDE`, is `N`) 3929 3930 Output Parameter: 3931 . v - the matrix 3932 3933 Level: intermediate 3934 3935 Notes: 3936 The matrix is owned by PETSc. Users need to call `MatDenseRestoreSubMatrix()` when the matrix is no longer needed. 3937 3938 The output matrix is not redistributed by PETSc, so depending on the values of `rbegin` and `rend`, some processes may have no local rows. 3939 3940 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreSubMatrix()` 3941 @*/ 3942 PetscErrorCode MatDenseGetSubMatrix(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3943 { 3944 PetscFunctionBegin; 3945 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3946 PetscValidType(A, 1); 3947 PetscValidLogicalCollectiveInt(A, rbegin, 2); 3948 PetscValidLogicalCollectiveInt(A, rend, 3); 3949 PetscValidLogicalCollectiveInt(A, cbegin, 4); 3950 PetscValidLogicalCollectiveInt(A, cend, 5); 3951 PetscAssertPointer(v, 6); 3952 if (rbegin == PETSC_DECIDE) rbegin = 0; 3953 if (rend == PETSC_DECIDE) rend = A->rmap->N; 3954 if (cbegin == PETSC_DECIDE) cbegin = 0; 3955 if (cend == PETSC_DECIDE) cend = A->cmap->N; 3956 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3957 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); 3958 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); 3959 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); 3960 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); 3961 PetscUseMethod(A, "MatDenseGetSubMatrix_C", (Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *), (A, rbegin, rend, cbegin, cend, v)); 3962 PetscFunctionReturn(PETSC_SUCCESS); 3963 } 3964 3965 /*@ 3966 MatDenseRestoreSubMatrix - Returns access to a block of columns of a dense matrix obtained from `MatDenseGetSubMatrix()`. 3967 3968 Collective 3969 3970 Input Parameters: 3971 + A - the `Mat` object 3972 - v - the `Mat` object (may be `NULL`) 3973 3974 Level: intermediate 3975 3976 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseGetSubMatrix()` 3977 @*/ 3978 PetscErrorCode MatDenseRestoreSubMatrix(Mat A, Mat *v) 3979 { 3980 PetscFunctionBegin; 3981 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3982 PetscValidType(A, 1); 3983 PetscAssertPointer(v, 2); 3984 PetscUseMethod(A, "MatDenseRestoreSubMatrix_C", (Mat, Mat *), (A, v)); 3985 PetscFunctionReturn(PETSC_SUCCESS); 3986 } 3987 3988 #include <petscblaslapack.h> 3989 #include <petsc/private/kernels/blockinvert.h> 3990 3991 PetscErrorCode MatSeqDenseInvert(Mat A) 3992 { 3993 PetscInt m; 3994 const PetscReal shift = 0.0; 3995 PetscBool allowzeropivot, zeropivotdetected = PETSC_FALSE; 3996 PetscScalar *values; 3997 3998 PetscFunctionBegin; 3999 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 4000 PetscCall(MatDenseGetArray(A, &values)); 4001 PetscCall(MatGetLocalSize(A, &m, NULL)); 4002 allowzeropivot = PetscNot(A->erroriffailure); 4003 /* factor and invert each block */ 4004 switch (m) { 4005 case 1: 4006 values[0] = (PetscScalar)1.0 / (values[0] + shift); 4007 break; 4008 case 2: 4009 PetscCall(PetscKernel_A_gets_inverse_A_2(values, shift, allowzeropivot, &zeropivotdetected)); 4010 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4011 break; 4012 case 3: 4013 PetscCall(PetscKernel_A_gets_inverse_A_3(values, shift, allowzeropivot, &zeropivotdetected)); 4014 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4015 break; 4016 case 4: 4017 PetscCall(PetscKernel_A_gets_inverse_A_4(values, shift, allowzeropivot, &zeropivotdetected)); 4018 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4019 break; 4020 case 5: { 4021 PetscScalar work[25]; 4022 PetscInt ipvt[5]; 4023 4024 PetscCall(PetscKernel_A_gets_inverse_A_5(values, ipvt, work, shift, allowzeropivot, &zeropivotdetected)); 4025 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4026 } break; 4027 case 6: 4028 PetscCall(PetscKernel_A_gets_inverse_A_6(values, shift, allowzeropivot, &zeropivotdetected)); 4029 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4030 break; 4031 case 7: 4032 PetscCall(PetscKernel_A_gets_inverse_A_7(values, shift, allowzeropivot, &zeropivotdetected)); 4033 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4034 break; 4035 default: { 4036 PetscInt *v_pivots, *IJ, j; 4037 PetscScalar *v_work; 4038 4039 PetscCall(PetscMalloc3(m, &v_work, m, &v_pivots, m, &IJ)); 4040 for (j = 0; j < m; j++) IJ[j] = j; 4041 PetscCall(PetscKernel_A_gets_inverse_A(m, values, v_pivots, v_work, allowzeropivot, &zeropivotdetected)); 4042 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4043 PetscCall(PetscFree3(v_work, v_pivots, IJ)); 4044 } 4045 } 4046 PetscCall(MatDenseRestoreArray(A, &values)); 4047 PetscFunctionReturn(PETSC_SUCCESS); 4048 } 4049