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 PetscErrorCode MatCopy_SeqDense(Mat A, Mat B, MatStructure str) 2647 { 2648 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data; 2649 const PetscScalar *va; 2650 PetscScalar *vb; 2651 PetscInt lda1 = a->lda, lda2 = b->lda, m = A->rmap->n, n = A->cmap->n, j; 2652 2653 PetscFunctionBegin; 2654 /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */ 2655 if (A->ops->copy != B->ops->copy) { 2656 PetscCall(MatCopy_Basic(A, B, str)); 2657 PetscFunctionReturn(PETSC_SUCCESS); 2658 } 2659 PetscCheck(m == B->rmap->n && n == B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "size(B) != size(A)"); 2660 PetscCall(MatDenseGetArrayRead(A, &va)); 2661 PetscCall(MatDenseGetArray(B, &vb)); 2662 if (lda1 > m || lda2 > m) { 2663 for (j = 0; j < n; j++) PetscCall(PetscArraycpy(vb + j * lda2, va + j * lda1, m)); 2664 } else { 2665 PetscCall(PetscArraycpy(vb, va, A->rmap->n * A->cmap->n)); 2666 } 2667 PetscCall(MatDenseRestoreArray(B, &vb)); 2668 PetscCall(MatDenseRestoreArrayRead(A, &va)); 2669 PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); 2670 PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); 2671 PetscFunctionReturn(PETSC_SUCCESS); 2672 } 2673 2674 PetscErrorCode MatSetUp_SeqDense(Mat A) 2675 { 2676 PetscFunctionBegin; 2677 PetscCall(PetscLayoutSetUp(A->rmap)); 2678 PetscCall(PetscLayoutSetUp(A->cmap)); 2679 if (!A->preallocated) PetscCall(MatSeqDenseSetPreallocation(A, NULL)); 2680 PetscFunctionReturn(PETSC_SUCCESS); 2681 } 2682 2683 static PetscErrorCode MatConjugate_SeqDense(Mat A) 2684 { 2685 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2686 PetscInt i, j; 2687 PetscInt min = PetscMin(A->rmap->n, A->cmap->n); 2688 PetscScalar *aa; 2689 2690 PetscFunctionBegin; 2691 PetscCall(MatDenseGetArray(A, &aa)); 2692 for (j = 0; j < A->cmap->n; j++) { 2693 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscConj(aa[i + j * mat->lda]); 2694 } 2695 PetscCall(MatDenseRestoreArray(A, &aa)); 2696 if (mat->tau) 2697 for (i = 0; i < min; i++) mat->tau[i] = PetscConj(mat->tau[i]); 2698 PetscFunctionReturn(PETSC_SUCCESS); 2699 } 2700 2701 static PetscErrorCode MatRealPart_SeqDense(Mat A) 2702 { 2703 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2704 PetscInt i, j; 2705 PetscScalar *aa; 2706 2707 PetscFunctionBegin; 2708 PetscCall(MatDenseGetArray(A, &aa)); 2709 for (j = 0; j < A->cmap->n; j++) { 2710 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscRealPart(aa[i + j * mat->lda]); 2711 } 2712 PetscCall(MatDenseRestoreArray(A, &aa)); 2713 PetscFunctionReturn(PETSC_SUCCESS); 2714 } 2715 2716 static PetscErrorCode MatImaginaryPart_SeqDense(Mat A) 2717 { 2718 Mat_SeqDense *mat = (Mat_SeqDense *)A->data; 2719 PetscInt i, j; 2720 PetscScalar *aa; 2721 2722 PetscFunctionBegin; 2723 PetscCall(MatDenseGetArray(A, &aa)); 2724 for (j = 0; j < A->cmap->n; j++) { 2725 for (i = 0; i < A->rmap->n; i++) aa[i + j * mat->lda] = PetscImaginaryPart(aa[i + j * mat->lda]); 2726 } 2727 PetscCall(MatDenseRestoreArray(A, &aa)); 2728 PetscFunctionReturn(PETSC_SUCCESS); 2729 } 2730 2731 PetscErrorCode MatMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2732 { 2733 PetscInt m = A->rmap->n, n = B->cmap->n; 2734 PetscBool cisdense = PETSC_FALSE; 2735 2736 PetscFunctionBegin; 2737 PetscCall(MatSetSizes(C, m, n, m, n)); 2738 #if defined(PETSC_HAVE_CUDA) 2739 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2740 #endif 2741 #if defined(PETSC_HAVE_HIP) 2742 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2743 #endif 2744 if (!cisdense) { 2745 PetscBool flg; 2746 2747 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2748 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2749 } 2750 PetscCall(MatSetUp(C)); 2751 PetscFunctionReturn(PETSC_SUCCESS); 2752 } 2753 2754 PetscErrorCode MatMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2755 { 2756 Mat_SeqDense *a = (Mat_SeqDense *)A->data, *b = (Mat_SeqDense *)B->data, *c = (Mat_SeqDense *)C->data; 2757 PetscBLASInt m, n, k; 2758 const PetscScalar *av, *bv; 2759 PetscScalar *cv; 2760 PetscScalar _DOne = 1.0, _DZero = 0.0; 2761 2762 PetscFunctionBegin; 2763 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2764 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2765 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2766 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2767 PetscCall(MatDenseGetArrayRead(A, &av)); 2768 PetscCall(MatDenseGetArrayRead(B, &bv)); 2769 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2770 PetscCallBLAS("BLASgemm", BLASgemm_("N", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2771 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2772 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2773 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2774 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2775 PetscFunctionReturn(PETSC_SUCCESS); 2776 } 2777 2778 PetscErrorCode MatMatTransposeMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2779 { 2780 PetscInt m = A->rmap->n, n = B->rmap->n; 2781 PetscBool cisdense = PETSC_FALSE; 2782 2783 PetscFunctionBegin; 2784 PetscCall(MatSetSizes(C, m, n, m, n)); 2785 #if defined(PETSC_HAVE_CUDA) 2786 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2787 #endif 2788 #if defined(PETSC_HAVE_HIP) 2789 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2790 #endif 2791 if (!cisdense) { 2792 PetscBool flg; 2793 2794 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2795 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2796 } 2797 PetscCall(MatSetUp(C)); 2798 PetscFunctionReturn(PETSC_SUCCESS); 2799 } 2800 2801 PetscErrorCode MatMatTransposeMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2802 { 2803 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2804 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2805 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2806 const PetscScalar *av, *bv; 2807 PetscScalar *cv; 2808 PetscBLASInt m, n, k; 2809 PetscScalar _DOne = 1.0, _DZero = 0.0; 2810 2811 PetscFunctionBegin; 2812 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2813 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2814 PetscCall(PetscBLASIntCast(A->cmap->n, &k)); 2815 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2816 PetscCall(MatDenseGetArrayRead(A, &av)); 2817 PetscCall(MatDenseGetArrayRead(B, &bv)); 2818 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2819 PetscCallBLAS("BLASgemm", BLASgemm_("N", "T", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2820 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2821 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2822 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2823 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2824 PetscFunctionReturn(PETSC_SUCCESS); 2825 } 2826 2827 PetscErrorCode MatTransposeMatMultSymbolic_SeqDense_SeqDense(Mat A, Mat B, PetscReal fill, Mat C) 2828 { 2829 PetscInt m = A->cmap->n, n = B->cmap->n; 2830 PetscBool cisdense = PETSC_FALSE; 2831 2832 PetscFunctionBegin; 2833 PetscCall(MatSetSizes(C, m, n, m, n)); 2834 #if defined(PETSC_HAVE_CUDA) 2835 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSECUDA, "")); 2836 #endif 2837 #if defined(PETSC_HAVE_HIP) 2838 PetscCall(PetscObjectTypeCompareAny((PetscObject)C, &cisdense, MATSEQDENSE, MATSEQDENSEHIP, "")); 2839 #endif 2840 if (!cisdense) { 2841 PetscBool flg; 2842 2843 PetscCall(PetscObjectTypeCompare((PetscObject)B, ((PetscObject)A)->type_name, &flg)); 2844 PetscCall(MatSetType(C, flg ? ((PetscObject)A)->type_name : MATDENSE)); 2845 } 2846 PetscCall(MatSetUp(C)); 2847 PetscFunctionReturn(PETSC_SUCCESS); 2848 } 2849 2850 PetscErrorCode MatTransposeMatMultNumeric_SeqDense_SeqDense(Mat A, Mat B, Mat C) 2851 { 2852 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2853 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 2854 Mat_SeqDense *c = (Mat_SeqDense *)C->data; 2855 const PetscScalar *av, *bv; 2856 PetscScalar *cv; 2857 PetscBLASInt m, n, k; 2858 PetscScalar _DOne = 1.0, _DZero = 0.0; 2859 2860 PetscFunctionBegin; 2861 PetscCall(PetscBLASIntCast(C->rmap->n, &m)); 2862 PetscCall(PetscBLASIntCast(C->cmap->n, &n)); 2863 PetscCall(PetscBLASIntCast(A->rmap->n, &k)); 2864 if (!m || !n || !k) PetscFunctionReturn(PETSC_SUCCESS); 2865 PetscCall(MatDenseGetArrayRead(A, &av)); 2866 PetscCall(MatDenseGetArrayRead(B, &bv)); 2867 PetscCall(MatDenseGetArrayWrite(C, &cv)); 2868 PetscCallBLAS("BLASgemm", BLASgemm_("T", "N", &m, &n, &k, &_DOne, av, &a->lda, bv, &b->lda, &_DZero, cv, &c->lda)); 2869 PetscCall(MatDenseRestoreArrayRead(A, &av)); 2870 PetscCall(MatDenseRestoreArrayRead(B, &bv)); 2871 PetscCall(MatDenseRestoreArrayWrite(C, &cv)); 2872 PetscCall(PetscLogFlops(1.0 * m * n * k + 1.0 * m * n * (k - 1))); 2873 PetscFunctionReturn(PETSC_SUCCESS); 2874 } 2875 2876 static PetscErrorCode MatProductSetFromOptions_SeqDense_AB(Mat C) 2877 { 2878 PetscFunctionBegin; 2879 C->ops->matmultsymbolic = MatMatMultSymbolic_SeqDense_SeqDense; 2880 C->ops->productsymbolic = MatProductSymbolic_AB; 2881 PetscFunctionReturn(PETSC_SUCCESS); 2882 } 2883 2884 static PetscErrorCode MatProductSetFromOptions_SeqDense_AtB(Mat C) 2885 { 2886 PetscFunctionBegin; 2887 C->ops->transposematmultsymbolic = MatTransposeMatMultSymbolic_SeqDense_SeqDense; 2888 C->ops->productsymbolic = MatProductSymbolic_AtB; 2889 PetscFunctionReturn(PETSC_SUCCESS); 2890 } 2891 2892 static PetscErrorCode MatProductSetFromOptions_SeqDense_ABt(Mat C) 2893 { 2894 PetscFunctionBegin; 2895 C->ops->mattransposemultsymbolic = MatMatTransposeMultSymbolic_SeqDense_SeqDense; 2896 C->ops->productsymbolic = MatProductSymbolic_ABt; 2897 PetscFunctionReturn(PETSC_SUCCESS); 2898 } 2899 2900 PETSC_INTERN PetscErrorCode MatProductSetFromOptions_SeqDense(Mat C) 2901 { 2902 Mat_Product *product = C->product; 2903 2904 PetscFunctionBegin; 2905 switch (product->type) { 2906 case MATPRODUCT_AB: 2907 PetscCall(MatProductSetFromOptions_SeqDense_AB(C)); 2908 break; 2909 case MATPRODUCT_AtB: 2910 PetscCall(MatProductSetFromOptions_SeqDense_AtB(C)); 2911 break; 2912 case MATPRODUCT_ABt: 2913 PetscCall(MatProductSetFromOptions_SeqDense_ABt(C)); 2914 break; 2915 default: 2916 break; 2917 } 2918 PetscFunctionReturn(PETSC_SUCCESS); 2919 } 2920 2921 static PetscErrorCode MatGetRowMax_SeqDense(Mat A, Vec v, PetscInt idx[]) 2922 { 2923 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2924 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2925 PetscScalar *x; 2926 const PetscScalar *aa; 2927 2928 PetscFunctionBegin; 2929 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2930 PetscCall(VecGetArray(v, &x)); 2931 PetscCall(VecGetLocalSize(v, &p)); 2932 PetscCall(MatDenseGetArrayRead(A, &aa)); 2933 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2934 for (i = 0; i < m; i++) { 2935 x[i] = aa[i]; 2936 if (idx) idx[i] = 0; 2937 for (j = 1; j < n; j++) { 2938 if (PetscRealPart(x[i]) < PetscRealPart(aa[i + a->lda * j])) { 2939 x[i] = aa[i + a->lda * j]; 2940 if (idx) idx[i] = j; 2941 } 2942 } 2943 } 2944 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2945 PetscCall(VecRestoreArray(v, &x)); 2946 PetscFunctionReturn(PETSC_SUCCESS); 2947 } 2948 2949 static PetscErrorCode MatGetRowMaxAbs_SeqDense(Mat A, Vec v, PetscInt idx[]) 2950 { 2951 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2952 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2953 PetscScalar *x; 2954 PetscReal atmp; 2955 const PetscScalar *aa; 2956 2957 PetscFunctionBegin; 2958 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2959 PetscCall(VecGetArray(v, &x)); 2960 PetscCall(VecGetLocalSize(v, &p)); 2961 PetscCall(MatDenseGetArrayRead(A, &aa)); 2962 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2963 for (i = 0; i < m; i++) { 2964 x[i] = PetscAbsScalar(aa[i]); 2965 for (j = 1; j < n; j++) { 2966 atmp = PetscAbsScalar(aa[i + a->lda * j]); 2967 if (PetscAbsScalar(x[i]) < atmp) { 2968 x[i] = atmp; 2969 if (idx) idx[i] = j; 2970 } 2971 } 2972 } 2973 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 2974 PetscCall(VecRestoreArray(v, &x)); 2975 PetscFunctionReturn(PETSC_SUCCESS); 2976 } 2977 2978 static PetscErrorCode MatGetRowMin_SeqDense(Mat A, Vec v, PetscInt idx[]) 2979 { 2980 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 2981 PetscInt i, j, m = A->rmap->n, n = A->cmap->n, p; 2982 PetscScalar *x; 2983 const PetscScalar *aa; 2984 2985 PetscFunctionBegin; 2986 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 2987 PetscCall(MatDenseGetArrayRead(A, &aa)); 2988 PetscCall(VecGetArray(v, &x)); 2989 PetscCall(VecGetLocalSize(v, &p)); 2990 PetscCheck(p == A->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Nonconforming matrix and vector"); 2991 for (i = 0; i < m; i++) { 2992 x[i] = aa[i]; 2993 if (idx) idx[i] = 0; 2994 for (j = 1; j < n; j++) { 2995 if (PetscRealPart(x[i]) > PetscRealPart(aa[i + a->lda * j])) { 2996 x[i] = aa[i + a->lda * j]; 2997 if (idx) idx[i] = j; 2998 } 2999 } 3000 } 3001 PetscCall(VecRestoreArray(v, &x)); 3002 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 3003 PetscFunctionReturn(PETSC_SUCCESS); 3004 } 3005 3006 PetscErrorCode MatGetColumnVector_SeqDense(Mat A, Vec v, PetscInt col) 3007 { 3008 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3009 PetscScalar *x; 3010 const PetscScalar *aa; 3011 3012 PetscFunctionBegin; 3013 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 3014 PetscCall(MatDenseGetArrayRead(A, &aa)); 3015 PetscCall(VecGetArray(v, &x)); 3016 PetscCall(PetscArraycpy(x, aa + col * a->lda, A->rmap->n)); 3017 PetscCall(VecRestoreArray(v, &x)); 3018 PetscCall(MatDenseRestoreArrayRead(A, &aa)); 3019 PetscFunctionReturn(PETSC_SUCCESS); 3020 } 3021 3022 PETSC_INTERN PetscErrorCode MatGetColumnReductions_SeqDense(Mat A, PetscInt type, PetscReal *reductions) 3023 { 3024 PetscInt i, j, m, n; 3025 const PetscScalar *a; 3026 3027 PetscFunctionBegin; 3028 PetscCall(MatGetSize(A, &m, &n)); 3029 PetscCall(PetscArrayzero(reductions, n)); 3030 PetscCall(MatDenseGetArrayRead(A, &a)); 3031 if (type == NORM_2) { 3032 for (i = 0; i < n; i++) { 3033 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j] * a[j]); 3034 a = PetscSafePointerPlusOffset(a, m); 3035 } 3036 } else if (type == NORM_1) { 3037 for (i = 0; i < n; i++) { 3038 for (j = 0; j < m; j++) reductions[i] += PetscAbsScalar(a[j]); 3039 a = PetscSafePointerPlusOffset(a, m); 3040 } 3041 } else if (type == NORM_INFINITY) { 3042 for (i = 0; i < n; i++) { 3043 for (j = 0; j < m; j++) reductions[i] = PetscMax(PetscAbsScalar(a[j]), reductions[i]); 3044 a = PetscSafePointerPlusOffset(a, m); 3045 } 3046 } else if (type == REDUCTION_SUM_REALPART || type == REDUCTION_MEAN_REALPART) { 3047 for (i = 0; i < n; i++) { 3048 for (j = 0; j < m; j++) reductions[i] += PetscRealPart(a[j]); 3049 a = PetscSafePointerPlusOffset(a, m); 3050 } 3051 } else if (type == REDUCTION_SUM_IMAGINARYPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3052 for (i = 0; i < n; i++) { 3053 for (j = 0; j < m; j++) reductions[i] += PetscImaginaryPart(a[j]); 3054 a = PetscSafePointerPlusOffset(a, m); 3055 } 3056 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Unknown reduction type"); 3057 PetscCall(MatDenseRestoreArrayRead(A, &a)); 3058 if (type == NORM_2) { 3059 for (i = 0; i < n; i++) reductions[i] = PetscSqrtReal(reductions[i]); 3060 } else if (type == REDUCTION_MEAN_REALPART || type == REDUCTION_MEAN_IMAGINARYPART) { 3061 for (i = 0; i < n; i++) reductions[i] /= m; 3062 } 3063 PetscFunctionReturn(PETSC_SUCCESS); 3064 } 3065 3066 PetscErrorCode MatSetRandom_SeqDense(Mat x, PetscRandom rctx) 3067 { 3068 PetscScalar *a; 3069 PetscInt lda, m, n, i, j; 3070 3071 PetscFunctionBegin; 3072 PetscCall(MatGetSize(x, &m, &n)); 3073 PetscCall(MatDenseGetLDA(x, &lda)); 3074 PetscCall(MatDenseGetArrayWrite(x, &a)); 3075 for (j = 0; j < n; j++) { 3076 for (i = 0; i < m; i++) PetscCall(PetscRandomGetValue(rctx, a + j * lda + i)); 3077 } 3078 PetscCall(MatDenseRestoreArrayWrite(x, &a)); 3079 PetscFunctionReturn(PETSC_SUCCESS); 3080 } 3081 3082 static PetscErrorCode MatMissingDiagonal_SeqDense(Mat A, PetscBool *missing, PetscInt *d) 3083 { 3084 PetscFunctionBegin; 3085 *missing = PETSC_FALSE; 3086 PetscFunctionReturn(PETSC_SUCCESS); 3087 } 3088 3089 /* vals is not const */ 3090 static PetscErrorCode MatDenseGetColumn_SeqDense(Mat A, PetscInt col, PetscScalar **vals) 3091 { 3092 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3093 PetscScalar *v; 3094 3095 PetscFunctionBegin; 3096 PetscCheck(!A->factortype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Not for factored matrix"); 3097 PetscCall(MatDenseGetArray(A, &v)); 3098 *vals = v + col * a->lda; 3099 PetscCall(MatDenseRestoreArray(A, &v)); 3100 PetscFunctionReturn(PETSC_SUCCESS); 3101 } 3102 3103 static PetscErrorCode MatDenseRestoreColumn_SeqDense(Mat A, PetscScalar **vals) 3104 { 3105 PetscFunctionBegin; 3106 if (vals) *vals = NULL; /* user cannot accidentally use the array later */ 3107 PetscFunctionReturn(PETSC_SUCCESS); 3108 } 3109 3110 static struct _MatOps MatOps_Values = {MatSetValues_SeqDense, 3111 MatGetRow_SeqDense, 3112 MatRestoreRow_SeqDense, 3113 MatMult_SeqDense, 3114 /* 4*/ MatMultAdd_SeqDense, 3115 MatMultTranspose_SeqDense, 3116 MatMultTransposeAdd_SeqDense, 3117 NULL, 3118 NULL, 3119 NULL, 3120 /* 10*/ NULL, 3121 MatLUFactor_SeqDense, 3122 MatCholeskyFactor_SeqDense, 3123 MatSOR_SeqDense, 3124 MatTranspose_SeqDense, 3125 /* 15*/ MatGetInfo_SeqDense, 3126 MatEqual_SeqDense, 3127 MatGetDiagonal_SeqDense, 3128 MatDiagonalScale_SeqDense, 3129 MatNorm_SeqDense, 3130 /* 20*/ NULL, 3131 NULL, 3132 MatSetOption_SeqDense, 3133 MatZeroEntries_SeqDense, 3134 /* 24*/ MatZeroRows_SeqDense, 3135 NULL, 3136 NULL, 3137 NULL, 3138 NULL, 3139 /* 29*/ MatSetUp_SeqDense, 3140 NULL, 3141 NULL, 3142 NULL, 3143 NULL, 3144 /* 34*/ MatDuplicate_SeqDense, 3145 NULL, 3146 NULL, 3147 NULL, 3148 NULL, 3149 /* 39*/ MatAXPY_SeqDense, 3150 MatCreateSubMatrices_SeqDense, 3151 NULL, 3152 MatGetValues_SeqDense, 3153 MatCopy_SeqDense, 3154 /* 44*/ MatGetRowMax_SeqDense, 3155 MatScale_SeqDense, 3156 MatShift_SeqDense, 3157 NULL, 3158 MatZeroRowsColumns_SeqDense, 3159 /* 49*/ MatSetRandom_SeqDense, 3160 NULL, 3161 NULL, 3162 NULL, 3163 NULL, 3164 /* 54*/ NULL, 3165 NULL, 3166 NULL, 3167 NULL, 3168 NULL, 3169 /* 59*/ MatCreateSubMatrix_SeqDense, 3170 MatDestroy_SeqDense, 3171 MatView_SeqDense, 3172 NULL, 3173 NULL, 3174 /* 64*/ NULL, 3175 NULL, 3176 NULL, 3177 NULL, 3178 NULL, 3179 /* 69*/ MatGetRowMaxAbs_SeqDense, 3180 NULL, 3181 NULL, 3182 NULL, 3183 NULL, 3184 /* 74*/ NULL, 3185 NULL, 3186 NULL, 3187 NULL, 3188 NULL, 3189 /* 79*/ NULL, 3190 NULL, 3191 NULL, 3192 NULL, 3193 /* 83*/ MatLoad_SeqDense, 3194 MatIsSymmetric_SeqDense, 3195 MatIsHermitian_SeqDense, 3196 NULL, 3197 NULL, 3198 NULL, 3199 /* 89*/ NULL, 3200 NULL, 3201 MatMatMultNumeric_SeqDense_SeqDense, 3202 NULL, 3203 NULL, 3204 /* 94*/ NULL, 3205 NULL, 3206 NULL, 3207 MatMatTransposeMultNumeric_SeqDense_SeqDense, 3208 NULL, 3209 /* 99*/ MatProductSetFromOptions_SeqDense, 3210 NULL, 3211 NULL, 3212 MatConjugate_SeqDense, 3213 NULL, 3214 /*104*/ NULL, 3215 MatRealPart_SeqDense, 3216 MatImaginaryPart_SeqDense, 3217 NULL, 3218 NULL, 3219 /*109*/ NULL, 3220 NULL, 3221 MatGetRowMin_SeqDense, 3222 MatGetColumnVector_SeqDense, 3223 MatMissingDiagonal_SeqDense, 3224 /*114*/ NULL, 3225 NULL, 3226 NULL, 3227 NULL, 3228 NULL, 3229 /*119*/ NULL, 3230 NULL, 3231 MatMultHermitianTranspose_SeqDense, 3232 MatMultHermitianTransposeAdd_SeqDense, 3233 NULL, 3234 /*124*/ NULL, 3235 MatGetColumnReductions_SeqDense, 3236 NULL, 3237 NULL, 3238 NULL, 3239 /*129*/ NULL, 3240 NULL, 3241 NULL, 3242 MatTransposeMatMultNumeric_SeqDense_SeqDense, 3243 NULL, 3244 /*134*/ NULL, 3245 NULL, 3246 NULL, 3247 NULL, 3248 NULL, 3249 /*139*/ NULL, 3250 NULL, 3251 NULL, 3252 NULL, 3253 NULL, 3254 MatCreateMPIMatConcatenateSeqMat_SeqDense, 3255 /*145*/ NULL, 3256 NULL, 3257 NULL, 3258 NULL, 3259 NULL, 3260 /*150*/ NULL, 3261 NULL, 3262 NULL, 3263 NULL, 3264 NULL, 3265 /*155*/ NULL, 3266 NULL}; 3267 3268 /*@ 3269 MatCreateSeqDense - Creates a `MATSEQDENSE` that 3270 is stored in column major order (the usual Fortran format). 3271 3272 Collective 3273 3274 Input Parameters: 3275 + comm - MPI communicator, set to `PETSC_COMM_SELF` 3276 . m - number of rows 3277 . n - number of columns 3278 - data - optional location of matrix data in column major order. Use `NULL` for PETSc 3279 to control all matrix memory allocation. 3280 3281 Output Parameter: 3282 . A - the matrix 3283 3284 Level: intermediate 3285 3286 Note: 3287 The data input variable is intended primarily for Fortran programmers 3288 who wish to allocate their own matrix memory space. Most users should 3289 set `data` = `NULL`. 3290 3291 Developer Note: 3292 Many of the matrix operations for this variant use the BLAS and LAPACK routines. 3293 3294 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()` 3295 @*/ 3296 PetscErrorCode MatCreateSeqDense(MPI_Comm comm, PetscInt m, PetscInt n, PetscScalar data[], Mat *A) 3297 { 3298 PetscFunctionBegin; 3299 PetscCall(MatCreate(comm, A)); 3300 PetscCall(MatSetSizes(*A, m, n, m, n)); 3301 PetscCall(MatSetType(*A, MATSEQDENSE)); 3302 PetscCall(MatSeqDenseSetPreallocation(*A, data)); 3303 PetscFunctionReturn(PETSC_SUCCESS); 3304 } 3305 3306 /*@ 3307 MatSeqDenseSetPreallocation - Sets the array used for storing the matrix elements of a `MATSEQDENSE` matrix 3308 3309 Collective 3310 3311 Input Parameters: 3312 + B - the matrix 3313 - data - the array (or `NULL`) 3314 3315 Level: intermediate 3316 3317 Note: 3318 The data input variable is intended primarily for Fortran programmers 3319 who wish to allocate their own matrix memory space. Most users should 3320 need not call this routine. 3321 3322 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreate()`, `MatCreateDense()`, `MatSetValues()`, `MatDenseSetLDA()` 3323 @*/ 3324 PetscErrorCode MatSeqDenseSetPreallocation(Mat B, PetscScalar data[]) 3325 { 3326 PetscFunctionBegin; 3327 PetscValidHeaderSpecific(B, MAT_CLASSID, 1); 3328 PetscTryMethod(B, "MatSeqDenseSetPreallocation_C", (Mat, PetscScalar[]), (B, data)); 3329 PetscFunctionReturn(PETSC_SUCCESS); 3330 } 3331 3332 PetscErrorCode MatSeqDenseSetPreallocation_SeqDense(Mat B, PetscScalar *data) 3333 { 3334 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3335 3336 PetscFunctionBegin; 3337 PetscCheck(!b->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3338 B->preallocated = PETSC_TRUE; 3339 3340 PetscCall(PetscLayoutSetUp(B->rmap)); 3341 PetscCall(PetscLayoutSetUp(B->cmap)); 3342 3343 if (b->lda <= 0) PetscCall(PetscBLASIntCast(B->rmap->n, &b->lda)); 3344 3345 if (!data) { /* petsc-allocated storage */ 3346 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3347 PetscCall(PetscCalloc1((size_t)b->lda * B->cmap->n, &b->v)); 3348 3349 b->user_alloc = PETSC_FALSE; 3350 } else { /* user-allocated storage */ 3351 if (!b->user_alloc) PetscCall(PetscFree(b->v)); 3352 b->v = data; 3353 b->user_alloc = PETSC_TRUE; 3354 } 3355 B->assembled = PETSC_TRUE; 3356 PetscFunctionReturn(PETSC_SUCCESS); 3357 } 3358 3359 #if defined(PETSC_HAVE_ELEMENTAL) 3360 PETSC_INTERN PetscErrorCode MatConvert_SeqDense_Elemental(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) 3361 { 3362 Mat mat_elemental; 3363 const PetscScalar *array; 3364 PetscScalar *v_colwise; 3365 PetscInt M = A->rmap->N, N = A->cmap->N, i, j, k, *rows, *cols; 3366 3367 PetscFunctionBegin; 3368 PetscCall(PetscMalloc3(M * N, &v_colwise, M, &rows, N, &cols)); 3369 PetscCall(MatDenseGetArrayRead(A, &array)); 3370 /* convert column-wise array into row-wise v_colwise, see MatSetValues_Elemental() */ 3371 k = 0; 3372 for (j = 0; j < N; j++) { 3373 cols[j] = j; 3374 for (i = 0; i < M; i++) v_colwise[j * M + i] = array[k++]; 3375 } 3376 for (i = 0; i < M; i++) rows[i] = i; 3377 PetscCall(MatDenseRestoreArrayRead(A, &array)); 3378 3379 PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &mat_elemental)); 3380 PetscCall(MatSetSizes(mat_elemental, PETSC_DECIDE, PETSC_DECIDE, M, N)); 3381 PetscCall(MatSetType(mat_elemental, MATELEMENTAL)); 3382 PetscCall(MatSetUp(mat_elemental)); 3383 3384 /* PETSc-Elemental interaface uses axpy for setting off-processor entries, only ADD_VALUES is allowed */ 3385 PetscCall(MatSetValues(mat_elemental, M, rows, N, cols, v_colwise, ADD_VALUES)); 3386 PetscCall(MatAssemblyBegin(mat_elemental, MAT_FINAL_ASSEMBLY)); 3387 PetscCall(MatAssemblyEnd(mat_elemental, MAT_FINAL_ASSEMBLY)); 3388 PetscCall(PetscFree3(v_colwise, rows, cols)); 3389 3390 if (reuse == MAT_INPLACE_MATRIX) { 3391 PetscCall(MatHeaderReplace(A, &mat_elemental)); 3392 } else { 3393 *newmat = mat_elemental; 3394 } 3395 PetscFunctionReturn(PETSC_SUCCESS); 3396 } 3397 #endif 3398 3399 PetscErrorCode MatDenseSetLDA_SeqDense(Mat B, PetscInt lda) 3400 { 3401 Mat_SeqDense *b = (Mat_SeqDense *)B->data; 3402 PetscBool data; 3403 3404 PetscFunctionBegin; 3405 data = (B->rmap->n > 0 && B->cmap->n > 0) ? (b->v ? PETSC_TRUE : PETSC_FALSE) : PETSC_FALSE; 3406 PetscCheck(b->user_alloc || !data || b->lda == lda, PETSC_COMM_SELF, PETSC_ERR_ORDER, "LDA cannot be changed after allocation of internal storage"); 3407 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); 3408 PetscCall(PetscBLASIntCast(lda, &b->lda)); 3409 PetscFunctionReturn(PETSC_SUCCESS); 3410 } 3411 3412 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqDense(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat) 3413 { 3414 PetscFunctionBegin; 3415 PetscCall(MatCreateMPIMatConcatenateSeqMat_MPIDense(comm, inmat, n, scall, outmat)); 3416 PetscFunctionReturn(PETSC_SUCCESS); 3417 } 3418 3419 PetscErrorCode MatDenseCreateColumnVec_Private(Mat A, Vec *v) 3420 { 3421 PetscBool isstd, iskok, iscuda, iship; 3422 PetscMPIInt size; 3423 #if PetscDefined(HAVE_CUDA) || PetscDefined(HAVE_HIP) 3424 /* we pass the data of A, to prevent allocating needless GPU memory the first time VecCUPMPlaceArray is called. */ 3425 const PetscScalar *a; 3426 #endif 3427 3428 PetscFunctionBegin; 3429 *v = NULL; 3430 PetscCall(PetscStrcmpAny(A->defaultvectype, &isstd, VECSTANDARD, VECSEQ, VECMPI, "")); 3431 PetscCall(PetscStrcmpAny(A->defaultvectype, &iskok, VECKOKKOS, VECSEQKOKKOS, VECMPIKOKKOS, "")); 3432 PetscCall(PetscStrcmpAny(A->defaultvectype, &iscuda, VECCUDA, VECSEQCUDA, VECMPICUDA, "")); 3433 PetscCall(PetscStrcmpAny(A->defaultvectype, &iship, VECHIP, VECSEQHIP, VECMPIHIP, "")); 3434 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 3435 if (isstd) { 3436 if (size > 1) PetscCall(VecCreateMPIWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3437 else PetscCall(VecCreateSeqWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3438 } else if (iskok) { 3439 PetscCheck(PetscDefined(HAVE_KOKKOS_KERNELS), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using KOKKOS kernels support"); 3440 #if PetscDefined(HAVE_KOKKOS_KERNELS) 3441 if (size > 1) PetscCall(VecCreateMPIKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, v)); 3442 else PetscCall(VecCreateSeqKokkosWithArray(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, v)); 3443 #endif 3444 } else if (iscuda) { 3445 PetscCheck(PetscDefined(HAVE_CUDA), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using CUDA support"); 3446 #if PetscDefined(HAVE_CUDA) 3447 PetscCall(MatDenseCUDAGetArrayRead(A, &a)); 3448 if (size > 1) PetscCall(VecCreateMPICUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3449 else PetscCall(VecCreateSeqCUDAWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3450 #endif 3451 } else if (iship) { 3452 PetscCheck(PetscDefined(HAVE_HIP), PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Reconfigure using HIP support"); 3453 #if PetscDefined(HAVE_HIP) 3454 PetscCall(MatDenseHIPGetArrayRead(A, &a)); 3455 if (size > 1) PetscCall(VecCreateMPIHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, A->rmap->N, NULL, a, v)); 3456 else PetscCall(VecCreateSeqHIPWithArrays(PetscObjectComm((PetscObject)A), A->rmap->bs, A->rmap->n, NULL, a, v)); 3457 #endif 3458 } 3459 PetscCheck(*v, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not coded for type %s", A->defaultvectype); 3460 PetscFunctionReturn(PETSC_SUCCESS); 3461 } 3462 3463 PetscErrorCode MatDenseGetColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3464 { 3465 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3466 3467 PetscFunctionBegin; 3468 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3469 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3470 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3471 a->vecinuse = col + 1; 3472 PetscCall(MatDenseGetArray(A, (PetscScalar **)&a->ptrinuse)); 3473 PetscCall(VecPlaceArray(a->cvec, a->ptrinuse + (size_t)col * (size_t)a->lda)); 3474 *v = a->cvec; 3475 PetscFunctionReturn(PETSC_SUCCESS); 3476 } 3477 3478 PetscErrorCode MatDenseRestoreColumnVec_SeqDense(Mat A, PetscInt col, Vec *v) 3479 { 3480 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3481 3482 PetscFunctionBegin; 3483 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3484 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3485 VecCheckAssembled(a->cvec); 3486 a->vecinuse = 0; 3487 PetscCall(MatDenseRestoreArray(A, (PetscScalar **)&a->ptrinuse)); 3488 PetscCall(VecResetArray(a->cvec)); 3489 if (v) *v = NULL; 3490 PetscFunctionReturn(PETSC_SUCCESS); 3491 } 3492 3493 PetscErrorCode MatDenseGetColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3494 { 3495 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3496 3497 PetscFunctionBegin; 3498 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3499 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3500 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3501 a->vecinuse = col + 1; 3502 PetscCall(MatDenseGetArrayRead(A, &a->ptrinuse)); 3503 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3504 PetscCall(VecLockReadPush(a->cvec)); 3505 *v = a->cvec; 3506 PetscFunctionReturn(PETSC_SUCCESS); 3507 } 3508 3509 PetscErrorCode MatDenseRestoreColumnVecRead_SeqDense(Mat A, PetscInt col, Vec *v) 3510 { 3511 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3512 3513 PetscFunctionBegin; 3514 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3515 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3516 VecCheckAssembled(a->cvec); 3517 a->vecinuse = 0; 3518 PetscCall(MatDenseRestoreArrayRead(A, &a->ptrinuse)); 3519 PetscCall(VecLockReadPop(a->cvec)); 3520 PetscCall(VecResetArray(a->cvec)); 3521 if (v) *v = NULL; 3522 PetscFunctionReturn(PETSC_SUCCESS); 3523 } 3524 3525 PetscErrorCode MatDenseGetColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3526 { 3527 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3528 3529 PetscFunctionBegin; 3530 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3531 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3532 if (!a->cvec) PetscCall(MatDenseCreateColumnVec_Private(A, &a->cvec)); 3533 a->vecinuse = col + 1; 3534 PetscCall(MatDenseGetArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3535 PetscCall(VecPlaceArray(a->cvec, PetscSafePointerPlusOffset(a->ptrinuse, (size_t)col * (size_t)a->lda))); 3536 *v = a->cvec; 3537 PetscFunctionReturn(PETSC_SUCCESS); 3538 } 3539 3540 PetscErrorCode MatDenseRestoreColumnVecWrite_SeqDense(Mat A, PetscInt col, Vec *v) 3541 { 3542 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3543 3544 PetscFunctionBegin; 3545 PetscCheck(a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetColumnVec() first"); 3546 PetscCheck(a->cvec, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column vector"); 3547 VecCheckAssembled(a->cvec); 3548 a->vecinuse = 0; 3549 PetscCall(MatDenseRestoreArrayWrite(A, (PetscScalar **)&a->ptrinuse)); 3550 PetscCall(VecResetArray(a->cvec)); 3551 if (v) *v = NULL; 3552 PetscFunctionReturn(PETSC_SUCCESS); 3553 } 3554 3555 PetscErrorCode MatDenseGetSubMatrix_SeqDense(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3556 { 3557 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3558 3559 PetscFunctionBegin; 3560 PetscCheck(!a->vecinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreColumnVec() first"); 3561 PetscCheck(!a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseRestoreSubMatrix() first"); 3562 if (a->cmat && (cend - cbegin != a->cmat->cmap->N || rend - rbegin != a->cmat->rmap->N)) PetscCall(MatDestroy(&a->cmat)); 3563 if (!a->cmat) { 3564 PetscCall(MatCreateDense(PetscObjectComm((PetscObject)A), rend - rbegin, PETSC_DECIDE, rend - rbegin, cend - cbegin, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda), &a->cmat)); 3565 } else { 3566 PetscCall(MatDensePlaceArray(a->cmat, PetscSafePointerPlusOffset(a->v, rbegin + (size_t)cbegin * a->lda))); 3567 } 3568 PetscCall(MatDenseSetLDA(a->cmat, a->lda)); 3569 a->matinuse = cbegin + 1; 3570 *v = a->cmat; 3571 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3572 A->offloadmask = PETSC_OFFLOAD_CPU; 3573 #endif 3574 PetscFunctionReturn(PETSC_SUCCESS); 3575 } 3576 3577 PetscErrorCode MatDenseRestoreSubMatrix_SeqDense(Mat A, Mat *v) 3578 { 3579 Mat_SeqDense *a = (Mat_SeqDense *)A->data; 3580 3581 PetscFunctionBegin; 3582 PetscCheck(a->matinuse, PETSC_COMM_SELF, PETSC_ERR_ORDER, "Need to call MatDenseGetSubMatrix() first"); 3583 PetscCheck(a->cmat, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Missing internal column matrix"); 3584 PetscCheck(*v == a->cmat, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Not the matrix obtained from MatDenseGetSubMatrix()"); 3585 a->matinuse = 0; 3586 PetscCall(MatDenseResetArray(a->cmat)); 3587 if (v) *v = NULL; 3588 #if defined(PETSC_HAVE_CUDA) || defined(PETSC_HAVE_HIP) 3589 A->offloadmask = PETSC_OFFLOAD_CPU; 3590 #endif 3591 PetscFunctionReturn(PETSC_SUCCESS); 3592 } 3593 3594 /*MC 3595 MATSEQDENSE - MATSEQDENSE = "seqdense" - A matrix type to be used for sequential dense matrices. 3596 3597 Options Database Key: 3598 . -mat_type seqdense - sets the matrix type to `MATSEQDENSE` during a call to `MatSetFromOptions()` 3599 3600 Level: beginner 3601 3602 .seealso: [](ch_matrices), `Mat`, `MATSEQDENSE`, `MatCreateSeqDense()` 3603 M*/ 3604 PetscErrorCode MatCreate_SeqDense(Mat B) 3605 { 3606 Mat_SeqDense *b; 3607 PetscMPIInt size; 3608 3609 PetscFunctionBegin; 3610 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size)); 3611 PetscCheck(size <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Comm must be of size 1"); 3612 3613 PetscCall(PetscNew(&b)); 3614 B->data = (void *)b; 3615 B->ops[0] = MatOps_Values; 3616 3617 b->roworiented = PETSC_TRUE; 3618 3619 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatQRFactor_C", MatQRFactor_SeqDense)); 3620 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetLDA_C", MatDenseGetLDA_SeqDense)); 3621 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseSetLDA_C", MatDenseSetLDA_SeqDense)); 3622 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArray_C", MatDenseGetArray_SeqDense)); 3623 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArray_C", MatDenseRestoreArray_SeqDense)); 3624 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDensePlaceArray_C", MatDensePlaceArray_SeqDense)); 3625 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseResetArray_C", MatDenseResetArray_SeqDense)); 3626 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseReplaceArray_C", MatDenseReplaceArray_SeqDense)); 3627 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayRead_C", MatDenseGetArray_SeqDense)); 3628 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayRead_C", MatDenseRestoreArray_SeqDense)); 3629 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetArrayWrite_C", MatDenseGetArray_SeqDense)); 3630 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreArrayWrite_C", MatDenseRestoreArray_SeqDense)); 3631 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqaij_C", MatConvert_SeqDense_SeqAIJ)); 3632 #if defined(PETSC_HAVE_ELEMENTAL) 3633 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_elemental_C", MatConvert_SeqDense_Elemental)); 3634 #endif 3635 #if defined(PETSC_HAVE_SCALAPACK) 3636 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_scalapack_C", MatConvert_Dense_ScaLAPACK)); 3637 #endif 3638 #if defined(PETSC_HAVE_CUDA) 3639 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensecuda_C", MatConvert_SeqDense_SeqDenseCUDA)); 3640 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3641 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensecuda_seqdense_C", MatProductSetFromOptions_SeqDense)); 3642 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensecuda_C", MatProductSetFromOptions_SeqDense)); 3643 #endif 3644 #if defined(PETSC_HAVE_HIP) 3645 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqdense_seqdensehip_C", MatConvert_SeqDense_SeqDenseHIP)); 3646 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3647 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdensehip_seqdense_C", MatProductSetFromOptions_SeqDense)); 3648 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdensehip_C", MatProductSetFromOptions_SeqDense)); 3649 #endif 3650 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatSeqDenseSetPreallocation_C", MatSeqDenseSetPreallocation_SeqDense)); 3651 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqaij_seqdense_C", MatProductSetFromOptions_SeqAIJ_SeqDense)); 3652 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqdense_seqdense_C", MatProductSetFromOptions_SeqDense)); 3653 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3654 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqsbaij_seqdense_C", MatProductSetFromOptions_SeqXBAIJ_SeqDense)); 3655 3656 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumn_C", MatDenseGetColumn_SeqDense)); 3657 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumn_C", MatDenseRestoreColumn_SeqDense)); 3658 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVec_C", MatDenseGetColumnVec_SeqDense)); 3659 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVec_C", MatDenseRestoreColumnVec_SeqDense)); 3660 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecRead_C", MatDenseGetColumnVecRead_SeqDense)); 3661 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecRead_C", MatDenseRestoreColumnVecRead_SeqDense)); 3662 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetColumnVecWrite_C", MatDenseGetColumnVecWrite_SeqDense)); 3663 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreColumnVecWrite_C", MatDenseRestoreColumnVecWrite_SeqDense)); 3664 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseGetSubMatrix_C", MatDenseGetSubMatrix_SeqDense)); 3665 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatDenseRestoreSubMatrix_C", MatDenseRestoreSubMatrix_SeqDense)); 3666 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultAddColumnRange_C", MatMultAddColumnRange_SeqDense)); 3667 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeColumnRange_C", MatMultHermitianTransposeColumnRange_SeqDense)); 3668 PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMultHermitianTransposeAddColumnRange_C", MatMultHermitianTransposeAddColumnRange_SeqDense)); 3669 PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATSEQDENSE)); 3670 PetscFunctionReturn(PETSC_SUCCESS); 3671 } 3672 3673 /*@C 3674 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. 3675 3676 Not Collective 3677 3678 Input Parameters: 3679 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3680 - col - column index 3681 3682 Output Parameter: 3683 . vals - pointer to the data 3684 3685 Level: intermediate 3686 3687 Note: 3688 Use `MatDenseGetColumnVec()` to get access to a column of a `MATDENSE` treated as a `Vec` 3689 3690 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseRestoreColumn()`, `MatDenseGetColumnVec()` 3691 @*/ 3692 PetscErrorCode MatDenseGetColumn(Mat A, PetscInt col, PetscScalar *vals[]) 3693 { 3694 PetscFunctionBegin; 3695 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3696 PetscValidLogicalCollectiveInt(A, col, 2); 3697 PetscAssertPointer(vals, 3); 3698 PetscUseMethod(A, "MatDenseGetColumn_C", (Mat, PetscInt, PetscScalar **), (A, col, vals)); 3699 PetscFunctionReturn(PETSC_SUCCESS); 3700 } 3701 3702 /*@C 3703 MatDenseRestoreColumn - returns access to a column of a `MATDENSE` matrix which is returned by `MatDenseGetColumn()`. 3704 3705 Not Collective 3706 3707 Input Parameters: 3708 + A - a `MATSEQDENSE` or `MATMPIDENSE` matrix 3709 - vals - pointer to the data (may be `NULL`) 3710 3711 Level: intermediate 3712 3713 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MatDenseGetColumn()` 3714 @*/ 3715 PetscErrorCode MatDenseRestoreColumn(Mat A, PetscScalar *vals[]) 3716 { 3717 PetscFunctionBegin; 3718 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3719 PetscAssertPointer(vals, 2); 3720 PetscUseMethod(A, "MatDenseRestoreColumn_C", (Mat, PetscScalar **), (A, vals)); 3721 PetscFunctionReturn(PETSC_SUCCESS); 3722 } 3723 3724 /*@ 3725 MatDenseGetColumnVec - Gives read-write access to a column of a `MATDENSE` matrix, represented as a `Vec`. 3726 3727 Collective 3728 3729 Input Parameters: 3730 + A - the `Mat` object 3731 - col - the column index 3732 3733 Output Parameter: 3734 . v - the vector 3735 3736 Level: intermediate 3737 3738 Notes: 3739 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVec()` when the vector is no longer needed. 3740 3741 Use `MatDenseGetColumnVecRead()` to obtain read-only access or `MatDenseGetColumnVecWrite()` for write-only access. 3742 3743 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()`, `MatDenseGetColumn()` 3744 @*/ 3745 PetscErrorCode MatDenseGetColumnVec(Mat A, PetscInt col, Vec *v) 3746 { 3747 PetscFunctionBegin; 3748 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3749 PetscValidType(A, 1); 3750 PetscValidLogicalCollectiveInt(A, col, 2); 3751 PetscAssertPointer(v, 3); 3752 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3753 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3754 PetscUseMethod(A, "MatDenseGetColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3755 PetscFunctionReturn(PETSC_SUCCESS); 3756 } 3757 3758 /*@ 3759 MatDenseRestoreColumnVec - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVec()`. 3760 3761 Collective 3762 3763 Input Parameters: 3764 + A - the `Mat` object 3765 . col - the column index 3766 - v - the `Vec` object (may be `NULL`) 3767 3768 Level: intermediate 3769 3770 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3771 @*/ 3772 PetscErrorCode MatDenseRestoreColumnVec(Mat A, PetscInt col, Vec *v) 3773 { 3774 PetscFunctionBegin; 3775 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3776 PetscValidType(A, 1); 3777 PetscValidLogicalCollectiveInt(A, col, 2); 3778 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3779 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); 3780 PetscUseMethod(A, "MatDenseRestoreColumnVec_C", (Mat, PetscInt, Vec *), (A, col, v)); 3781 PetscFunctionReturn(PETSC_SUCCESS); 3782 } 3783 3784 /*@ 3785 MatDenseGetColumnVecRead - Gives read-only access to a column of a dense matrix, represented as a `Vec`. 3786 3787 Collective 3788 3789 Input Parameters: 3790 + A - the `Mat` object 3791 - col - the column index 3792 3793 Output Parameter: 3794 . v - the vector 3795 3796 Level: intermediate 3797 3798 Notes: 3799 The vector is owned by PETSc and users cannot modify it. 3800 3801 Users need to call `MatDenseRestoreColumnVecRead()` when the vector is no longer needed. 3802 3803 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecWrite()` for write-only access. 3804 3805 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3806 @*/ 3807 PetscErrorCode MatDenseGetColumnVecRead(Mat A, PetscInt col, Vec *v) 3808 { 3809 PetscFunctionBegin; 3810 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3811 PetscValidType(A, 1); 3812 PetscValidLogicalCollectiveInt(A, col, 2); 3813 PetscAssertPointer(v, 3); 3814 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3815 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3816 PetscUseMethod(A, "MatDenseGetColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3817 PetscFunctionReturn(PETSC_SUCCESS); 3818 } 3819 3820 /*@ 3821 MatDenseRestoreColumnVecRead - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecRead()`. 3822 3823 Collective 3824 3825 Input Parameters: 3826 + A - the `Mat` object 3827 . col - the column index 3828 - v - the `Vec` object (may be `NULL`) 3829 3830 Level: intermediate 3831 3832 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecWrite()` 3833 @*/ 3834 PetscErrorCode MatDenseRestoreColumnVecRead(Mat A, PetscInt col, Vec *v) 3835 { 3836 PetscFunctionBegin; 3837 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3838 PetscValidType(A, 1); 3839 PetscValidLogicalCollectiveInt(A, col, 2); 3840 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3841 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); 3842 PetscUseMethod(A, "MatDenseRestoreColumnVecRead_C", (Mat, PetscInt, Vec *), (A, col, v)); 3843 PetscFunctionReturn(PETSC_SUCCESS); 3844 } 3845 3846 /*@ 3847 MatDenseGetColumnVecWrite - Gives write-only access to a column of a dense matrix, represented as a `Vec`. 3848 3849 Collective 3850 3851 Input Parameters: 3852 + A - the `Mat` object 3853 - col - the column index 3854 3855 Output Parameter: 3856 . v - the vector 3857 3858 Level: intermediate 3859 3860 Notes: 3861 The vector is owned by PETSc. Users need to call `MatDenseRestoreColumnVecWrite()` when the vector is no longer needed. 3862 3863 Use `MatDenseGetColumnVec()` to obtain read-write access or `MatDenseGetColumnVecRead()` for read-only access. 3864 3865 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()`, `MatDenseRestoreColumnVecWrite()` 3866 @*/ 3867 PetscErrorCode MatDenseGetColumnVecWrite(Mat A, PetscInt col, Vec *v) 3868 { 3869 PetscFunctionBegin; 3870 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3871 PetscValidType(A, 1); 3872 PetscValidLogicalCollectiveInt(A, col, 2); 3873 PetscAssertPointer(v, 3); 3874 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3875 PetscCheck(col >= 0 && col < A->cmap->N, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Invalid col %" PetscInt_FMT ", should be in [0,%" PetscInt_FMT ")", col, A->cmap->N); 3876 PetscUseMethod(A, "MatDenseGetColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3877 PetscFunctionReturn(PETSC_SUCCESS); 3878 } 3879 3880 /*@ 3881 MatDenseRestoreColumnVecWrite - Returns access to a column of a dense matrix obtained from `MatDenseGetColumnVecWrite()`. 3882 3883 Collective 3884 3885 Input Parameters: 3886 + A - the `Mat` object 3887 . col - the column index 3888 - v - the `Vec` object (may be `NULL`) 3889 3890 Level: intermediate 3891 3892 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseGetColumnVecRead()`, `MatDenseGetColumnVecWrite()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreColumnVecRead()` 3893 @*/ 3894 PetscErrorCode MatDenseRestoreColumnVecWrite(Mat A, PetscInt col, Vec *v) 3895 { 3896 PetscFunctionBegin; 3897 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3898 PetscValidType(A, 1); 3899 PetscValidLogicalCollectiveInt(A, col, 2); 3900 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3901 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); 3902 PetscUseMethod(A, "MatDenseRestoreColumnVecWrite_C", (Mat, PetscInt, Vec *), (A, col, v)); 3903 PetscFunctionReturn(PETSC_SUCCESS); 3904 } 3905 3906 /*@ 3907 MatDenseGetSubMatrix - Gives access to a block of rows and columns of a dense matrix, represented as a `Mat`. 3908 3909 Collective 3910 3911 Input Parameters: 3912 + A - the `Mat` object 3913 . rbegin - the first global row index in the block (if `PETSC_DECIDE`, is 0) 3914 . rend - the global row index past the last one in the block (if `PETSC_DECIDE`, is `M`) 3915 . cbegin - the first global column index in the block (if `PETSC_DECIDE`, is 0) 3916 - cend - the global column index past the last one in the block (if `PETSC_DECIDE`, is `N`) 3917 3918 Output Parameter: 3919 . v - the matrix 3920 3921 Level: intermediate 3922 3923 Notes: 3924 The matrix is owned by PETSc. Users need to call `MatDenseRestoreSubMatrix()` when the matrix is no longer needed. 3925 3926 The output matrix is not redistributed by PETSc, so depending on the values of `rbegin` and `rend`, some processes may have no local rows. 3927 3928 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseRestoreSubMatrix()` 3929 @*/ 3930 PetscErrorCode MatDenseGetSubMatrix(Mat A, PetscInt rbegin, PetscInt rend, PetscInt cbegin, PetscInt cend, Mat *v) 3931 { 3932 PetscFunctionBegin; 3933 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3934 PetscValidType(A, 1); 3935 PetscValidLogicalCollectiveInt(A, rbegin, 2); 3936 PetscValidLogicalCollectiveInt(A, rend, 3); 3937 PetscValidLogicalCollectiveInt(A, cbegin, 4); 3938 PetscValidLogicalCollectiveInt(A, cend, 5); 3939 PetscAssertPointer(v, 6); 3940 if (rbegin == PETSC_DECIDE) rbegin = 0; 3941 if (rend == PETSC_DECIDE) rend = A->rmap->N; 3942 if (cbegin == PETSC_DECIDE) cbegin = 0; 3943 if (cend == PETSC_DECIDE) cend = A->cmap->N; 3944 PetscCheck(A->preallocated, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Matrix not preallocated"); 3945 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); 3946 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); 3947 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); 3948 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); 3949 PetscUseMethod(A, "MatDenseGetSubMatrix_C", (Mat, PetscInt, PetscInt, PetscInt, PetscInt, Mat *), (A, rbegin, rend, cbegin, cend, v)); 3950 PetscFunctionReturn(PETSC_SUCCESS); 3951 } 3952 3953 /*@ 3954 MatDenseRestoreSubMatrix - Returns access to a block of columns of a dense matrix obtained from `MatDenseGetSubMatrix()`. 3955 3956 Collective 3957 3958 Input Parameters: 3959 + A - the `Mat` object 3960 - v - the `Mat` object (may be `NULL`) 3961 3962 Level: intermediate 3963 3964 .seealso: [](ch_matrices), `Mat`, `MATDENSE`, `MATDENSECUDA`, `MATDENSEHIP`, `MatDenseGetColumnVec()`, `MatDenseRestoreColumnVec()`, `MatDenseGetSubMatrix()` 3965 @*/ 3966 PetscErrorCode MatDenseRestoreSubMatrix(Mat A, Mat *v) 3967 { 3968 PetscFunctionBegin; 3969 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3970 PetscValidType(A, 1); 3971 PetscAssertPointer(v, 2); 3972 PetscUseMethod(A, "MatDenseRestoreSubMatrix_C", (Mat, Mat *), (A, v)); 3973 PetscFunctionReturn(PETSC_SUCCESS); 3974 } 3975 3976 #include <petscblaslapack.h> 3977 #include <petsc/private/kernels/blockinvert.h> 3978 3979 PetscErrorCode MatSeqDenseInvert(Mat A) 3980 { 3981 PetscInt m; 3982 const PetscReal shift = 0.0; 3983 PetscBool allowzeropivot, zeropivotdetected = PETSC_FALSE; 3984 PetscScalar *values; 3985 3986 PetscFunctionBegin; 3987 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 3988 PetscCall(MatDenseGetArray(A, &values)); 3989 PetscCall(MatGetLocalSize(A, &m, NULL)); 3990 allowzeropivot = PetscNot(A->erroriffailure); 3991 /* factor and invert each block */ 3992 switch (m) { 3993 case 1: 3994 values[0] = (PetscScalar)1.0 / (values[0] + shift); 3995 break; 3996 case 2: 3997 PetscCall(PetscKernel_A_gets_inverse_A_2(values, shift, allowzeropivot, &zeropivotdetected)); 3998 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 3999 break; 4000 case 3: 4001 PetscCall(PetscKernel_A_gets_inverse_A_3(values, shift, allowzeropivot, &zeropivotdetected)); 4002 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4003 break; 4004 case 4: 4005 PetscCall(PetscKernel_A_gets_inverse_A_4(values, shift, allowzeropivot, &zeropivotdetected)); 4006 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4007 break; 4008 case 5: { 4009 PetscScalar work[25]; 4010 PetscInt ipvt[5]; 4011 4012 PetscCall(PetscKernel_A_gets_inverse_A_5(values, ipvt, work, shift, allowzeropivot, &zeropivotdetected)); 4013 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4014 } break; 4015 case 6: 4016 PetscCall(PetscKernel_A_gets_inverse_A_6(values, shift, allowzeropivot, &zeropivotdetected)); 4017 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4018 break; 4019 case 7: 4020 PetscCall(PetscKernel_A_gets_inverse_A_7(values, shift, allowzeropivot, &zeropivotdetected)); 4021 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4022 break; 4023 default: { 4024 PetscInt *v_pivots, *IJ, j; 4025 PetscScalar *v_work; 4026 4027 PetscCall(PetscMalloc3(m, &v_work, m, &v_pivots, m, &IJ)); 4028 for (j = 0; j < m; j++) IJ[j] = j; 4029 PetscCall(PetscKernel_A_gets_inverse_A(m, values, v_pivots, v_work, allowzeropivot, &zeropivotdetected)); 4030 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 4031 PetscCall(PetscFree3(v_work, v_pivots, IJ)); 4032 } 4033 } 4034 PetscCall(MatDenseRestoreArray(A, &values)); 4035 PetscFunctionReturn(PETSC_SUCCESS); 4036 } 4037