1 /* 2 This provides a simple shell for Fortran (and C programmers) to 3 create a very simple matrix class for use with KSP without coding 4 much of anything. 5 */ 6 7 #include <../src/mat/impls/shell/shell.h> /*I "petscmat.h" I*/ 8 9 /* 10 Store and scale values on zeroed rows 11 xx = [x_1, 0], 0 on zeroed columns 12 */ 13 static PetscErrorCode MatShellPreZeroRight(Mat A, Vec x, Vec *xx) 14 { 15 Mat_Shell *shell = (Mat_Shell *)A->data; 16 17 PetscFunctionBegin; 18 *xx = x; 19 if (shell->zrows) { 20 PetscCall(VecSet(shell->zvals_w, 0.0)); 21 PetscCall(VecScatterBegin(shell->zvals_sct_c, x, shell->zvals_w, INSERT_VALUES, SCATTER_FORWARD)); 22 PetscCall(VecScatterEnd(shell->zvals_sct_c, x, shell->zvals_w, INSERT_VALUES, SCATTER_FORWARD)); 23 PetscCall(VecPointwiseMult(shell->zvals_w, shell->zvals_w, shell->zvals)); 24 } 25 if (shell->zcols) { 26 if (!shell->right_work) PetscCall(MatCreateVecs(A, &shell->right_work, NULL)); 27 PetscCall(VecCopy(x, shell->right_work)); 28 PetscCall(VecISSet(shell->right_work, shell->zcols, 0.0)); 29 *xx = shell->right_work; 30 } 31 PetscFunctionReturn(PETSC_SUCCESS); 32 } 33 34 /* Insert properly diagonally scaled values stored in MatShellPreZeroRight */ 35 static PetscErrorCode MatShellPostZeroLeft(Mat A, Vec x) 36 { 37 Mat_Shell *shell = (Mat_Shell *)A->data; 38 39 PetscFunctionBegin; 40 if (shell->zrows) { 41 PetscCall(VecScatterBegin(shell->zvals_sct_r, shell->zvals_w, x, INSERT_VALUES, SCATTER_REVERSE)); 42 PetscCall(VecScatterEnd(shell->zvals_sct_r, shell->zvals_w, x, INSERT_VALUES, SCATTER_REVERSE)); 43 } 44 PetscFunctionReturn(PETSC_SUCCESS); 45 } 46 47 /* 48 Store and scale values on zeroed rows 49 xx = [x_1, 0], 0 on zeroed rows 50 */ 51 static PetscErrorCode MatShellPreZeroLeft(Mat A, Vec x, Vec *xx) 52 { 53 Mat_Shell *shell = (Mat_Shell *)A->data; 54 55 PetscFunctionBegin; 56 *xx = NULL; 57 if (!shell->zrows) { 58 *xx = x; 59 } else { 60 if (!shell->left_work) PetscCall(MatCreateVecs(A, NULL, &shell->left_work)); 61 PetscCall(VecCopy(x, shell->left_work)); 62 PetscCall(VecSet(shell->zvals_w, 0.0)); 63 PetscCall(VecScatterBegin(shell->zvals_sct_r, shell->zvals_w, shell->left_work, INSERT_VALUES, SCATTER_REVERSE)); 64 PetscCall(VecScatterEnd(shell->zvals_sct_r, shell->zvals_w, shell->left_work, INSERT_VALUES, SCATTER_REVERSE)); 65 PetscCall(VecScatterBegin(shell->zvals_sct_r, x, shell->zvals_w, INSERT_VALUES, SCATTER_FORWARD)); 66 PetscCall(VecScatterEnd(shell->zvals_sct_r, x, shell->zvals_w, INSERT_VALUES, SCATTER_FORWARD)); 67 PetscCall(VecPointwiseMult(shell->zvals_w, shell->zvals_w, shell->zvals)); 68 *xx = shell->left_work; 69 } 70 PetscFunctionReturn(PETSC_SUCCESS); 71 } 72 73 /* Zero zero-columns contributions, sum contributions from properly scaled values stored in MatShellPreZeroLeft */ 74 static PetscErrorCode MatShellPostZeroRight(Mat A, Vec x) 75 { 76 Mat_Shell *shell = (Mat_Shell *)A->data; 77 78 PetscFunctionBegin; 79 if (shell->zcols) PetscCall(VecISSet(x, shell->zcols, 0.0)); 80 if (shell->zrows) { 81 PetscCall(VecScatterBegin(shell->zvals_sct_c, shell->zvals_w, x, ADD_VALUES, SCATTER_REVERSE)); 82 PetscCall(VecScatterEnd(shell->zvals_sct_c, shell->zvals_w, x, ADD_VALUES, SCATTER_REVERSE)); 83 } 84 PetscFunctionReturn(PETSC_SUCCESS); 85 } 86 87 /* 88 xx = diag(left)*x 89 */ 90 static PetscErrorCode MatShellPreScaleLeft(Mat A, Vec x, Vec *xx, PetscBool conjugate) 91 { 92 Mat_Shell *shell = (Mat_Shell *)A->data; 93 94 PetscFunctionBegin; 95 *xx = NULL; 96 if (!shell->left) { 97 *xx = x; 98 } else { 99 if (!shell->left_work) PetscCall(VecDuplicate(shell->left, &shell->left_work)); 100 if (conjugate) { /* get arrays because there is no VecPointwiseMultConj() */ 101 PetscInt i, m; 102 const PetscScalar *d, *xarray; 103 PetscScalar *w; 104 PetscCall(VecGetLocalSize(x, &m)); 105 PetscCall(VecGetArrayRead(shell->left, &d)); 106 PetscCall(VecGetArrayRead(x, &xarray)); 107 PetscCall(VecGetArrayWrite(shell->left_work, &w)); 108 for (i = 0; i < m; i++) w[i] = PetscConj(d[i]) * xarray[i]; 109 PetscCall(VecRestoreArrayRead(shell->dshift, &d)); 110 PetscCall(VecRestoreArrayRead(x, &xarray)); 111 PetscCall(VecRestoreArrayWrite(shell->left_work, &w)); 112 } else PetscCall(VecPointwiseMult(shell->left_work, x, shell->left)); 113 *xx = shell->left_work; 114 } 115 PetscFunctionReturn(PETSC_SUCCESS); 116 } 117 118 /* 119 xx = diag(right)*x 120 */ 121 static PetscErrorCode MatShellPreScaleRight(Mat A, Vec x, Vec *xx) 122 { 123 Mat_Shell *shell = (Mat_Shell *)A->data; 124 125 PetscFunctionBegin; 126 *xx = NULL; 127 if (!shell->right) { 128 *xx = x; 129 } else { 130 if (!shell->right_work) PetscCall(VecDuplicate(shell->right, &shell->right_work)); 131 PetscCall(VecPointwiseMult(shell->right_work, x, shell->right)); 132 *xx = shell->right_work; 133 } 134 PetscFunctionReturn(PETSC_SUCCESS); 135 } 136 137 /* 138 x = diag(left)*x 139 */ 140 static PetscErrorCode MatShellPostScaleLeft(Mat A, Vec x) 141 { 142 Mat_Shell *shell = (Mat_Shell *)A->data; 143 144 PetscFunctionBegin; 145 if (shell->left) PetscCall(VecPointwiseMult(x, x, shell->left)); 146 PetscFunctionReturn(PETSC_SUCCESS); 147 } 148 149 /* 150 x = diag(right)*x 151 */ 152 static PetscErrorCode MatShellPostScaleRight(Mat A, Vec x, PetscBool conjugate) 153 { 154 Mat_Shell *shell = (Mat_Shell *)A->data; 155 156 PetscFunctionBegin; 157 if (shell->right) { 158 if (conjugate) { /* get arrays because there is no VecPointwiseMultConj() */ 159 PetscInt i, m; 160 const PetscScalar *d; 161 PetscScalar *xarray; 162 PetscCall(VecGetLocalSize(x, &m)); 163 PetscCall(VecGetArrayRead(shell->right, &d)); 164 PetscCall(VecGetArray(x, &xarray)); 165 for (i = 0; i < m; i++) xarray[i] = PetscConj(d[i]) * xarray[i]; 166 PetscCall(VecRestoreArrayRead(shell->dshift, &d)); 167 PetscCall(VecRestoreArray(x, &xarray)); 168 } else PetscCall(VecPointwiseMult(x, x, shell->right)); 169 } 170 PetscFunctionReturn(PETSC_SUCCESS); 171 } 172 173 /* 174 Y = vscale*Y + diag(dshift)*X + vshift*X 175 176 On input Y already contains A*x 177 178 If conjugate=PETSC_TRUE then vscale, dshift, and vshift are conjugated 179 */ 180 static PetscErrorCode MatShellShiftAndScale(Mat A, Vec X, Vec Y, PetscBool conjugate) 181 { 182 Mat_Shell *shell = (Mat_Shell *)A->data; 183 PetscScalar vscale = conjugate ? PetscConj(shell->vscale) : shell->vscale; 184 PetscScalar vshift = conjugate ? PetscConj(shell->vshift) : shell->vshift; 185 186 PetscFunctionBegin; 187 if (shell->dshift) { /* get arrays because there is no VecPointwiseMultAdd() */ 188 PetscInt i, m; 189 const PetscScalar *x, *d; 190 PetscScalar *y; 191 PetscCall(VecGetLocalSize(X, &m)); 192 PetscCall(VecGetArrayRead(shell->dshift, &d)); 193 PetscCall(VecGetArrayRead(X, &x)); 194 PetscCall(VecGetArray(Y, &y)); 195 if (conjugate) 196 for (i = 0; i < m; i++) y[i] = vscale * y[i] + PetscConj(d[i]) * x[i]; 197 else 198 for (i = 0; i < m; i++) y[i] = vscale * y[i] + d[i] * x[i]; 199 PetscCall(VecRestoreArrayRead(shell->dshift, &d)); 200 PetscCall(VecRestoreArrayRead(X, &x)); 201 PetscCall(VecRestoreArray(Y, &y)); 202 } else { 203 PetscCall(VecScale(Y, vscale)); 204 } 205 if (vshift != 0.0) PetscCall(VecAXPY(Y, vshift, X)); /* if test is for non-square matrices */ 206 PetscFunctionReturn(PETSC_SUCCESS); 207 } 208 209 static PetscErrorCode MatShellGetContext_Shell(Mat mat, void *ctx) 210 { 211 Mat_Shell *shell = (Mat_Shell *)mat->data; 212 213 PetscFunctionBegin; 214 if (shell->ctxcontainer) PetscCall(PetscContainerGetPointer(shell->ctxcontainer, (void **)ctx)); 215 else *(void **)ctx = NULL; 216 PetscFunctionReturn(PETSC_SUCCESS); 217 } 218 219 /*@ 220 MatShellGetContext - Returns the user-provided context associated with a `MATSHELL` shell matrix. 221 222 Not Collective 223 224 Input Parameter: 225 . mat - the matrix, should have been created with `MatCreateShell()` 226 227 Output Parameter: 228 . ctx - the user provided context 229 230 Level: advanced 231 232 Fortran Notes: 233 You must write a Fortran interface definition for this 234 function that tells Fortran the Fortran derived data type that you are passing in as the `ctx` argument. 235 236 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellSetOperation()`, `MatShellSetContext()` 237 @*/ 238 PetscErrorCode MatShellGetContext(Mat mat, void *ctx) 239 { 240 PetscFunctionBegin; 241 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 242 PetscAssertPointer(ctx, 2); 243 PetscUseMethod(mat, "MatShellGetContext_C", (Mat, void *), (mat, ctx)); 244 PetscFunctionReturn(PETSC_SUCCESS); 245 } 246 247 static PetscErrorCode MatZeroRowsColumns_Local_Shell(Mat mat, PetscInt nr, PetscInt rows[], PetscInt nc, PetscInt cols[], PetscScalar diag, PetscBool rc) 248 { 249 Mat_Shell *shell = (Mat_Shell *)mat->data; 250 Vec x = NULL, b = NULL; 251 IS is1, is2; 252 const PetscInt *ridxs; 253 PetscInt *idxs, *gidxs; 254 PetscInt cum, rst, cst, i; 255 256 PetscFunctionBegin; 257 if (!shell->zvals) PetscCall(MatCreateVecs(mat, NULL, &shell->zvals)); 258 if (!shell->zvals_w) PetscCall(VecDuplicate(shell->zvals, &shell->zvals_w)); 259 PetscCall(MatGetOwnershipRange(mat, &rst, NULL)); 260 PetscCall(MatGetOwnershipRangeColumn(mat, &cst, NULL)); 261 262 /* Expand/create index set of zeroed rows */ 263 PetscCall(PetscMalloc1(nr, &idxs)); 264 for (i = 0; i < nr; i++) idxs[i] = rows[i] + rst; 265 PetscCall(ISCreateGeneral(PetscObjectComm((PetscObject)mat), nr, idxs, PETSC_OWN_POINTER, &is1)); 266 PetscCall(ISSort(is1)); 267 PetscCall(VecISSet(shell->zvals, is1, diag)); 268 if (shell->zrows) { 269 PetscCall(ISSum(shell->zrows, is1, &is2)); 270 PetscCall(ISDestroy(&shell->zrows)); 271 PetscCall(ISDestroy(&is1)); 272 shell->zrows = is2; 273 } else shell->zrows = is1; 274 275 /* Create scatters for diagonal values communications */ 276 PetscCall(VecScatterDestroy(&shell->zvals_sct_c)); 277 PetscCall(VecScatterDestroy(&shell->zvals_sct_r)); 278 279 /* row scatter: from/to left vector */ 280 PetscCall(MatCreateVecs(mat, &x, &b)); 281 PetscCall(VecScatterCreate(b, shell->zrows, shell->zvals_w, shell->zrows, &shell->zvals_sct_r)); 282 283 /* col scatter: from right vector to left vector */ 284 PetscCall(ISGetIndices(shell->zrows, &ridxs)); 285 PetscCall(ISGetLocalSize(shell->zrows, &nr)); 286 PetscCall(PetscMalloc1(nr, &gidxs)); 287 for (i = 0, cum = 0; i < nr; i++) { 288 if (ridxs[i] >= mat->cmap->N) continue; 289 gidxs[cum] = ridxs[i]; 290 cum++; 291 } 292 PetscCall(ISCreateGeneral(PetscObjectComm((PetscObject)mat), cum, gidxs, PETSC_OWN_POINTER, &is1)); 293 PetscCall(VecScatterCreate(x, is1, shell->zvals_w, is1, &shell->zvals_sct_c)); 294 PetscCall(ISDestroy(&is1)); 295 PetscCall(VecDestroy(&x)); 296 PetscCall(VecDestroy(&b)); 297 298 /* Expand/create index set of zeroed columns */ 299 if (rc) { 300 PetscCall(PetscMalloc1(nc, &idxs)); 301 for (i = 0; i < nc; i++) idxs[i] = cols[i] + cst; 302 PetscCall(ISCreateGeneral(PetscObjectComm((PetscObject)mat), nc, idxs, PETSC_OWN_POINTER, &is1)); 303 PetscCall(ISSort(is1)); 304 if (shell->zcols) { 305 PetscCall(ISSum(shell->zcols, is1, &is2)); 306 PetscCall(ISDestroy(&shell->zcols)); 307 PetscCall(ISDestroy(&is1)); 308 shell->zcols = is2; 309 } else shell->zcols = is1; 310 } 311 PetscFunctionReturn(PETSC_SUCCESS); 312 } 313 314 static PetscErrorCode MatZeroRows_Shell(Mat mat, PetscInt n, const PetscInt rows[], PetscScalar diag, Vec x, Vec b) 315 { 316 Mat_Shell *shell = (Mat_Shell *)mat->data; 317 PetscInt nr, *lrows; 318 319 PetscFunctionBegin; 320 if (x && b) { 321 Vec xt; 322 PetscScalar *vals; 323 PetscInt *gcols, i, st, nl, nc; 324 325 PetscCall(PetscMalloc1(n, &gcols)); 326 for (i = 0, nc = 0; i < n; i++) 327 if (rows[i] < mat->cmap->N) gcols[nc++] = rows[i]; 328 329 PetscCall(MatCreateVecs(mat, &xt, NULL)); 330 PetscCall(VecCopy(x, xt)); 331 PetscCall(PetscCalloc1(nc, &vals)); 332 PetscCall(VecSetValues(xt, nc, gcols, vals, INSERT_VALUES)); /* xt = [x1, 0] */ 333 PetscCall(PetscFree(vals)); 334 PetscCall(VecAssemblyBegin(xt)); 335 PetscCall(VecAssemblyEnd(xt)); 336 PetscCall(VecAYPX(xt, -1.0, x)); /* xt = [0, x2] */ 337 338 PetscCall(VecGetOwnershipRange(xt, &st, NULL)); 339 PetscCall(VecGetLocalSize(xt, &nl)); 340 PetscCall(VecGetArray(xt, &vals)); 341 for (i = 0; i < nl; i++) { 342 PetscInt g = i + st; 343 if (g > mat->rmap->N) continue; 344 if (PetscAbsScalar(vals[i]) == 0.0) continue; 345 PetscCall(VecSetValue(b, g, diag * vals[i], INSERT_VALUES)); 346 } 347 PetscCall(VecRestoreArray(xt, &vals)); 348 PetscCall(VecAssemblyBegin(b)); 349 PetscCall(VecAssemblyEnd(b)); /* b = [b1, x2 * diag] */ 350 PetscCall(VecDestroy(&xt)); 351 PetscCall(PetscFree(gcols)); 352 } 353 PetscCall(PetscLayoutMapLocal(mat->rmap, n, rows, &nr, &lrows, NULL)); 354 PetscCall(MatZeroRowsColumns_Local_Shell(mat, nr, lrows, 0, NULL, diag, PETSC_FALSE)); 355 if (shell->axpy) PetscCall(MatZeroRows(shell->axpy, n, rows, 0.0, NULL, NULL)); 356 PetscCall(PetscFree(lrows)); 357 PetscFunctionReturn(PETSC_SUCCESS); 358 } 359 360 static PetscErrorCode MatZeroRowsColumns_Shell(Mat mat, PetscInt n, const PetscInt rowscols[], PetscScalar diag, Vec x, Vec b) 361 { 362 Mat_Shell *shell = (Mat_Shell *)mat->data; 363 PetscInt *lrows, *lcols; 364 PetscInt nr, nc; 365 PetscBool congruent; 366 367 PetscFunctionBegin; 368 if (x && b) { 369 Vec xt, bt; 370 PetscScalar *vals; 371 PetscInt *grows, *gcols, i, st, nl; 372 373 PetscCall(PetscMalloc2(n, &grows, n, &gcols)); 374 for (i = 0, nr = 0; i < n; i++) 375 if (rowscols[i] < mat->rmap->N) grows[nr++] = rowscols[i]; 376 for (i = 0, nc = 0; i < n; i++) 377 if (rowscols[i] < mat->cmap->N) gcols[nc++] = rowscols[i]; 378 PetscCall(PetscCalloc1(n, &vals)); 379 380 PetscCall(MatCreateVecs(mat, &xt, &bt)); 381 PetscCall(VecCopy(x, xt)); 382 PetscCall(VecSetValues(xt, nc, gcols, vals, INSERT_VALUES)); /* xt = [x1, 0] */ 383 PetscCall(VecAssemblyBegin(xt)); 384 PetscCall(VecAssemblyEnd(xt)); 385 PetscCall(VecAXPY(xt, -1.0, x)); /* xt = [0, -x2] */ 386 PetscCall(MatMult(mat, xt, bt)); /* bt = [-A12*x2,-A22*x2] */ 387 PetscCall(VecSetValues(bt, nr, grows, vals, INSERT_VALUES)); /* bt = [-A12*x2,0] */ 388 PetscCall(VecAssemblyBegin(bt)); 389 PetscCall(VecAssemblyEnd(bt)); 390 PetscCall(VecAXPY(b, 1.0, bt)); /* b = [b1 - A12*x2, b2] */ 391 PetscCall(VecSetValues(bt, nr, grows, vals, INSERT_VALUES)); /* b = [b1 - A12*x2, 0] */ 392 PetscCall(VecAssemblyBegin(bt)); 393 PetscCall(VecAssemblyEnd(bt)); 394 PetscCall(PetscFree(vals)); 395 396 PetscCall(VecGetOwnershipRange(xt, &st, NULL)); 397 PetscCall(VecGetLocalSize(xt, &nl)); 398 PetscCall(VecGetArray(xt, &vals)); 399 for (i = 0; i < nl; i++) { 400 PetscInt g = i + st; 401 if (g > mat->rmap->N) continue; 402 if (PetscAbsScalar(vals[i]) == 0.0) continue; 403 PetscCall(VecSetValue(b, g, -diag * vals[i], INSERT_VALUES)); 404 } 405 PetscCall(VecRestoreArray(xt, &vals)); 406 PetscCall(VecAssemblyBegin(b)); 407 PetscCall(VecAssemblyEnd(b)); /* b = [b1 - A12*x2, x2 * diag] */ 408 PetscCall(VecDestroy(&xt)); 409 PetscCall(VecDestroy(&bt)); 410 PetscCall(PetscFree2(grows, gcols)); 411 } 412 PetscCall(PetscLayoutMapLocal(mat->rmap, n, rowscols, &nr, &lrows, NULL)); 413 PetscCall(MatHasCongruentLayouts(mat, &congruent)); 414 if (congruent) { 415 nc = nr; 416 lcols = lrows; 417 } else { /* MatZeroRowsColumns implicitly assumes the rowscols indices are for a square matrix, here we handle a more general case */ 418 PetscInt i, nt, *t; 419 420 PetscCall(PetscMalloc1(n, &t)); 421 for (i = 0, nt = 0; i < n; i++) 422 if (rowscols[i] < mat->cmap->N) t[nt++] = rowscols[i]; 423 PetscCall(PetscLayoutMapLocal(mat->cmap, nt, t, &nc, &lcols, NULL)); 424 PetscCall(PetscFree(t)); 425 } 426 PetscCall(MatZeroRowsColumns_Local_Shell(mat, nr, lrows, nc, lcols, diag, PETSC_TRUE)); 427 if (!congruent) PetscCall(PetscFree(lcols)); 428 PetscCall(PetscFree(lrows)); 429 if (shell->axpy) PetscCall(MatZeroRowsColumns(shell->axpy, n, rowscols, 0.0, NULL, NULL)); 430 PetscFunctionReturn(PETSC_SUCCESS); 431 } 432 433 static PetscErrorCode MatDestroy_Shell(Mat mat) 434 { 435 Mat_Shell *shell = (Mat_Shell *)mat->data; 436 MatShellMatFunctionList matmat; 437 438 PetscFunctionBegin; 439 if (shell->ops->destroy) PetscCall((*shell->ops->destroy)(mat)); 440 PetscCall(PetscMemzero(shell->ops, sizeof(struct _MatShellOps))); 441 PetscCall(VecDestroy(&shell->left)); 442 PetscCall(VecDestroy(&shell->right)); 443 PetscCall(VecDestroy(&shell->dshift)); 444 PetscCall(VecDestroy(&shell->left_work)); 445 PetscCall(VecDestroy(&shell->right_work)); 446 PetscCall(VecDestroy(&shell->left_add_work)); 447 PetscCall(VecDestroy(&shell->right_add_work)); 448 PetscCall(VecDestroy(&shell->axpy_left)); 449 PetscCall(VecDestroy(&shell->axpy_right)); 450 PetscCall(MatDestroy(&shell->axpy)); 451 PetscCall(VecDestroy(&shell->zvals_w)); 452 PetscCall(VecDestroy(&shell->zvals)); 453 PetscCall(VecScatterDestroy(&shell->zvals_sct_c)); 454 PetscCall(VecScatterDestroy(&shell->zvals_sct_r)); 455 PetscCall(ISDestroy(&shell->zrows)); 456 PetscCall(ISDestroy(&shell->zcols)); 457 458 matmat = shell->matmat; 459 while (matmat) { 460 MatShellMatFunctionList next = matmat->next; 461 462 PetscCall(PetscObjectComposeFunction((PetscObject)mat, matmat->composedname, NULL)); 463 PetscCall(PetscFree(matmat->composedname)); 464 PetscCall(PetscFree(matmat->resultname)); 465 PetscCall(PetscFree(matmat)); 466 matmat = next; 467 } 468 PetscCall(MatShellSetContext(mat, NULL)); 469 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellGetContext_C", NULL)); 470 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellSetContext_C", NULL)); 471 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellSetContextDestroy_C", NULL)); 472 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellSetVecType_C", NULL)); 473 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellSetManageScalingShifts_C", NULL)); 474 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellGetScalingShifts_C", NULL)); 475 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellSetOperation_C", NULL)); 476 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellGetOperation_C", NULL)); 477 PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatShellSetMatProductOperation_C", NULL)); 478 PetscCall(PetscFree(mat->data)); 479 PetscFunctionReturn(PETSC_SUCCESS); 480 } 481 482 typedef struct { 483 PetscErrorCode (*numeric)(Mat, Mat, Mat, void *); 484 PetscErrorCode (*destroy)(void *); 485 void *userdata; 486 Mat B; 487 Mat Bt; 488 Mat axpy; 489 } MatMatDataShell; 490 491 static PetscErrorCode DestroyMatMatDataShell(void *data) 492 { 493 MatMatDataShell *mmdata = (MatMatDataShell *)data; 494 495 PetscFunctionBegin; 496 if (mmdata->destroy) PetscCall((*mmdata->destroy)(mmdata->userdata)); 497 PetscCall(MatDestroy(&mmdata->B)); 498 PetscCall(MatDestroy(&mmdata->Bt)); 499 PetscCall(MatDestroy(&mmdata->axpy)); 500 PetscCall(PetscFree(mmdata)); 501 PetscFunctionReturn(PETSC_SUCCESS); 502 } 503 504 static PetscErrorCode MatProductNumeric_Shell_X(Mat D) 505 { 506 Mat_Product *product; 507 Mat A, B; 508 MatMatDataShell *mdata; 509 PetscScalar zero = 0.0; 510 511 PetscFunctionBegin; 512 MatCheckProduct(D, 1); 513 product = D->product; 514 PetscCheck(product->data, PetscObjectComm((PetscObject)D), PETSC_ERR_PLIB, "Product data empty"); 515 A = product->A; 516 B = product->B; 517 mdata = (MatMatDataShell *)product->data; 518 if (mdata->numeric) { 519 Mat_Shell *shell = (Mat_Shell *)A->data; 520 PetscErrorCode (*stashsym)(Mat) = D->ops->productsymbolic; 521 PetscErrorCode (*stashnum)(Mat) = D->ops->productnumeric; 522 PetscBool useBmdata = PETSC_FALSE, newB = PETSC_TRUE; 523 524 if (shell->managescalingshifts) { 525 PetscCheck(!shell->zcols && !shell->zrows, PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProduct not supported with zeroed rows/columns"); 526 if (shell->right || shell->left) { 527 useBmdata = PETSC_TRUE; 528 if (!mdata->B) { 529 PetscCall(MatDuplicate(B, MAT_SHARE_NONZERO_PATTERN, &mdata->B)); 530 } else { 531 newB = PETSC_FALSE; 532 } 533 PetscCall(MatCopy(B, mdata->B, SAME_NONZERO_PATTERN)); 534 } 535 switch (product->type) { 536 case MATPRODUCT_AB: /* s L A R B + v L R B + L D R B */ 537 if (shell->right) PetscCall(MatDiagonalScale(mdata->B, shell->right, NULL)); 538 break; 539 case MATPRODUCT_AtB: /* s R A^t L B + v R L B + R D L B */ 540 if (shell->left) PetscCall(MatDiagonalScale(mdata->B, shell->left, NULL)); 541 break; 542 case MATPRODUCT_ABt: /* s L A R B^t + v L R B^t + L D R B^t */ 543 if (shell->right) PetscCall(MatDiagonalScale(mdata->B, NULL, shell->right)); 544 break; 545 case MATPRODUCT_RARt: /* s B L A R B^t + v B L R B^t + B L D R B^t */ 546 if (shell->right && shell->left) { 547 PetscBool flg; 548 549 PetscCall(VecEqual(shell->right, shell->left, &flg)); 550 PetscCheck(flg, PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices because left scaling != from right scaling", MatProductTypes[product->type], ((PetscObject)A)->type_name, 551 ((PetscObject)B)->type_name); 552 } 553 if (shell->right) PetscCall(MatDiagonalScale(mdata->B, NULL, shell->right)); 554 break; 555 case MATPRODUCT_PtAP: /* s B^t L A R B + v B^t L R B + B^t L D R B */ 556 if (shell->right && shell->left) { 557 PetscBool flg; 558 559 PetscCall(VecEqual(shell->right, shell->left, &flg)); 560 PetscCheck(flg, PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices because left scaling != from right scaling", MatProductTypes[product->type], ((PetscObject)A)->type_name, 561 ((PetscObject)B)->type_name); 562 } 563 if (shell->right) PetscCall(MatDiagonalScale(mdata->B, shell->right, NULL)); 564 break; 565 default: 566 SETERRQ(PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices", MatProductTypes[product->type], ((PetscObject)A)->type_name, ((PetscObject)B)->type_name); 567 } 568 } 569 /* allow the user to call MatMat operations on D */ 570 D->product = NULL; 571 D->ops->productsymbolic = NULL; 572 D->ops->productnumeric = NULL; 573 574 PetscCall((*mdata->numeric)(A, useBmdata ? mdata->B : B, D, mdata->userdata)); 575 576 /* clear any leftover user data and restore D pointers */ 577 PetscCall(MatProductClear(D)); 578 D->ops->productsymbolic = stashsym; 579 D->ops->productnumeric = stashnum; 580 D->product = product; 581 582 if (shell->managescalingshifts) { 583 PetscCall(MatScale(D, shell->vscale)); 584 switch (product->type) { 585 case MATPRODUCT_AB: /* s L A R B + v L R B + L D R B */ 586 case MATPRODUCT_ABt: /* s L A R B^t + v L R B^t + L D R B^t */ 587 if (shell->left) { 588 PetscCall(MatDiagonalScale(D, shell->left, NULL)); 589 if (shell->dshift || shell->vshift != zero) { 590 if (!shell->left_work) PetscCall(MatCreateVecs(A, NULL, &shell->left_work)); 591 if (shell->dshift) { 592 PetscCall(VecCopy(shell->dshift, shell->left_work)); 593 PetscCall(VecShift(shell->left_work, shell->vshift)); 594 PetscCall(VecPointwiseMult(shell->left_work, shell->left_work, shell->left)); 595 } else { 596 PetscCall(VecSet(shell->left_work, shell->vshift)); 597 } 598 if (product->type == MATPRODUCT_ABt) { 599 MatReuse reuse = mdata->Bt ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX; 600 MatStructure str = mdata->Bt ? SUBSET_NONZERO_PATTERN : DIFFERENT_NONZERO_PATTERN; 601 602 PetscCall(MatTranspose(mdata->B, reuse, &mdata->Bt)); 603 PetscCall(MatDiagonalScale(mdata->Bt, shell->left_work, NULL)); 604 PetscCall(MatAXPY(D, 1.0, mdata->Bt, str)); 605 } else { 606 MatStructure str = newB ? DIFFERENT_NONZERO_PATTERN : SUBSET_NONZERO_PATTERN; 607 608 PetscCall(MatDiagonalScale(mdata->B, shell->left_work, NULL)); 609 PetscCall(MatAXPY(D, 1.0, mdata->B, str)); 610 } 611 } 612 } 613 break; 614 case MATPRODUCT_AtB: /* s R A^t L B + v R L B + R D L B */ 615 if (shell->right) { 616 PetscCall(MatDiagonalScale(D, shell->right, NULL)); 617 if (shell->dshift || shell->vshift != zero) { 618 MatStructure str = newB ? DIFFERENT_NONZERO_PATTERN : SUBSET_NONZERO_PATTERN; 619 620 if (!shell->right_work) PetscCall(MatCreateVecs(A, &shell->right_work, NULL)); 621 if (shell->dshift) { 622 PetscCall(VecCopy(shell->dshift, shell->right_work)); 623 PetscCall(VecShift(shell->right_work, shell->vshift)); 624 PetscCall(VecPointwiseMult(shell->right_work, shell->right_work, shell->right)); 625 } else { 626 PetscCall(VecSet(shell->right_work, shell->vshift)); 627 } 628 PetscCall(MatDiagonalScale(mdata->B, shell->right_work, NULL)); 629 PetscCall(MatAXPY(D, 1.0, mdata->B, str)); 630 } 631 } 632 break; 633 case MATPRODUCT_PtAP: /* s B^t L A R B + v B^t L R B + B^t L D R B */ 634 case MATPRODUCT_RARt: /* s B L A R B^t + v B L R B^t + B L D R B^t */ 635 PetscCheck(!shell->dshift && shell->vshift == zero, PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices with diagonal shift", MatProductTypes[product->type], ((PetscObject)A)->type_name, 636 ((PetscObject)B)->type_name); 637 break; 638 default: 639 SETERRQ(PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices", MatProductTypes[product->type], ((PetscObject)A)->type_name, ((PetscObject)B)->type_name); 640 } 641 if (shell->axpy && shell->axpy_vscale != zero) { 642 Mat X; 643 PetscObjectState axpy_state; 644 MatStructure str = DIFFERENT_NONZERO_PATTERN; /* not sure it is safe to ever use SUBSET_NONZERO_PATTERN */ 645 646 PetscCall(MatShellGetContext(shell->axpy, &X)); 647 PetscCall(PetscObjectStateGet((PetscObject)X, &axpy_state)); 648 PetscCheck(shell->axpy_state == axpy_state, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Invalid AXPY state: cannot modify the X matrix passed to MatAXPY(Y,a,X,...)"); 649 if (!mdata->axpy) { 650 str = DIFFERENT_NONZERO_PATTERN; 651 PetscCall(MatProductCreate(shell->axpy, B, NULL, &mdata->axpy)); 652 PetscCall(MatProductSetType(mdata->axpy, product->type)); 653 PetscCall(MatProductSetFromOptions(mdata->axpy)); 654 PetscCall(MatProductSymbolic(mdata->axpy)); 655 } else { /* May be that shell->axpy has changed */ 656 PetscBool flg; 657 658 PetscCall(MatProductReplaceMats(shell->axpy, B, NULL, mdata->axpy)); 659 PetscCall(MatHasOperation(mdata->axpy, MATOP_PRODUCTSYMBOLIC, &flg)); 660 if (!flg) { 661 str = DIFFERENT_NONZERO_PATTERN; 662 PetscCall(MatProductSetFromOptions(mdata->axpy)); 663 PetscCall(MatProductSymbolic(mdata->axpy)); 664 } 665 } 666 PetscCall(MatProductNumeric(mdata->axpy)); 667 PetscCall(MatAXPY(D, shell->axpy_vscale, mdata->axpy, str)); 668 } 669 } 670 } else SETERRQ(PetscObjectComm((PetscObject)D), PETSC_ERR_PLIB, "Missing numeric operation"); 671 PetscFunctionReturn(PETSC_SUCCESS); 672 } 673 674 static PetscErrorCode MatProductSymbolic_Shell_X(Mat D) 675 { 676 Mat_Product *product; 677 Mat A, B; 678 MatShellMatFunctionList matmat; 679 Mat_Shell *shell; 680 PetscBool flg = PETSC_FALSE; 681 char composedname[256]; 682 MatMatDataShell *mdata; 683 684 PetscFunctionBegin; 685 MatCheckProduct(D, 1); 686 product = D->product; 687 PetscCheck(!product->data, PetscObjectComm((PetscObject)D), PETSC_ERR_PLIB, "Product data not empty"); 688 A = product->A; 689 B = product->B; 690 shell = (Mat_Shell *)A->data; 691 matmat = shell->matmat; 692 PetscCall(PetscSNPrintf(composedname, sizeof(composedname), "MatProductSetFromOptions_%s_%s_C", ((PetscObject)A)->type_name, ((PetscObject)B)->type_name)); 693 while (matmat) { 694 PetscCall(PetscStrcmp(composedname, matmat->composedname, &flg)); 695 flg = (PetscBool)(flg && (matmat->ptype == product->type)); 696 if (flg) break; 697 matmat = matmat->next; 698 } 699 PetscCheck(flg, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Composedname \"%s\" for product type %s not found", composedname, MatProductTypes[product->type]); 700 switch (product->type) { 701 case MATPRODUCT_AB: 702 PetscCall(MatSetSizes(D, A->rmap->n, B->cmap->n, A->rmap->N, B->cmap->N)); 703 break; 704 case MATPRODUCT_AtB: 705 PetscCall(MatSetSizes(D, A->cmap->n, B->cmap->n, A->cmap->N, B->cmap->N)); 706 break; 707 case MATPRODUCT_ABt: 708 PetscCall(MatSetSizes(D, A->rmap->n, B->rmap->n, A->rmap->N, B->rmap->N)); 709 break; 710 case MATPRODUCT_RARt: 711 PetscCall(MatSetSizes(D, B->rmap->n, B->rmap->n, B->rmap->N, B->rmap->N)); 712 break; 713 case MATPRODUCT_PtAP: 714 PetscCall(MatSetSizes(D, B->cmap->n, B->cmap->n, B->cmap->N, B->cmap->N)); 715 break; 716 default: 717 SETERRQ(PetscObjectComm((PetscObject)D), PETSC_ERR_SUP, "MatProductSymbolic type %s not supported for %s and %s matrices", MatProductTypes[product->type], ((PetscObject)A)->type_name, ((PetscObject)B)->type_name); 718 } 719 /* respect users who passed in a matrix for which resultname is the base type */ 720 if (matmat->resultname) { 721 PetscCall(PetscObjectBaseTypeCompare((PetscObject)D, matmat->resultname, &flg)); 722 if (!flg) PetscCall(MatSetType(D, matmat->resultname)); 723 } 724 /* If matrix type was not set or different, we need to reset this pointers */ 725 D->ops->productsymbolic = MatProductSymbolic_Shell_X; 726 D->ops->productnumeric = MatProductNumeric_Shell_X; 727 /* attach product data */ 728 PetscCall(PetscNew(&mdata)); 729 mdata->numeric = matmat->numeric; 730 mdata->destroy = matmat->destroy; 731 if (matmat->symbolic) { 732 PetscCall((*matmat->symbolic)(A, B, D, &mdata->userdata)); 733 } else { /* call general setup if symbolic operation not provided */ 734 PetscCall(MatSetUp(D)); 735 } 736 PetscCheck(D->product, PetscObjectComm((PetscObject)D), PETSC_ERR_COR, "Product disappeared after user symbolic phase"); 737 PetscCheck(!D->product->data, PetscObjectComm((PetscObject)D), PETSC_ERR_COR, "Product data not empty after user symbolic phase"); 738 D->product->data = mdata; 739 D->product->destroy = DestroyMatMatDataShell; 740 /* Be sure to reset these pointers if the user did something unexpected */ 741 D->ops->productsymbolic = MatProductSymbolic_Shell_X; 742 D->ops->productnumeric = MatProductNumeric_Shell_X; 743 PetscFunctionReturn(PETSC_SUCCESS); 744 } 745 746 static PetscErrorCode MatProductSetFromOptions_Shell_X(Mat D) 747 { 748 Mat_Product *product; 749 Mat A, B; 750 MatShellMatFunctionList matmat; 751 Mat_Shell *shell; 752 PetscBool flg; 753 char composedname[256]; 754 755 PetscFunctionBegin; 756 MatCheckProduct(D, 1); 757 product = D->product; 758 A = product->A; 759 B = product->B; 760 PetscCall(MatIsShell(A, &flg)); 761 if (!flg) PetscFunctionReturn(PETSC_SUCCESS); 762 shell = (Mat_Shell *)A->data; 763 matmat = shell->matmat; 764 PetscCall(PetscSNPrintf(composedname, sizeof(composedname), "MatProductSetFromOptions_%s_%s_C", ((PetscObject)A)->type_name, ((PetscObject)B)->type_name)); 765 while (matmat) { 766 PetscCall(PetscStrcmp(composedname, matmat->composedname, &flg)); 767 flg = (PetscBool)(flg && (matmat->ptype == product->type)); 768 if (flg) break; 769 matmat = matmat->next; 770 } 771 if (flg) { 772 D->ops->productsymbolic = MatProductSymbolic_Shell_X; 773 } else PetscCall(PetscInfo(D, " symbolic product %s not registered for product type %s\n", composedname, MatProductTypes[product->type])); 774 PetscFunctionReturn(PETSC_SUCCESS); 775 } 776 777 static PetscErrorCode MatShellSetMatProductOperation_Private(Mat A, MatProductType ptype, PetscErrorCode (*symbolic)(Mat, Mat, Mat, void **), PetscErrorCode (*numeric)(Mat, Mat, Mat, void *), PetscErrorCode (*destroy)(void *), char *composedname, const char *resultname) 778 { 779 PetscBool flg; 780 Mat_Shell *shell; 781 MatShellMatFunctionList matmat; 782 783 PetscFunctionBegin; 784 PetscCheck(numeric, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing numeric routine"); 785 PetscCheck(composedname, PetscObjectComm((PetscObject)A), PETSC_ERR_PLIB, "Missing composed name"); 786 787 /* add product callback */ 788 shell = (Mat_Shell *)A->data; 789 matmat = shell->matmat; 790 if (!matmat) { 791 PetscCall(PetscNew(&shell->matmat)); 792 matmat = shell->matmat; 793 } else { 794 MatShellMatFunctionList entry = matmat; 795 while (entry) { 796 PetscCall(PetscStrcmp(composedname, entry->composedname, &flg)); 797 flg = (PetscBool)(flg && (entry->ptype == ptype)); 798 matmat = entry; 799 if (flg) goto set; 800 entry = entry->next; 801 } 802 PetscCall(PetscNew(&matmat->next)); 803 matmat = matmat->next; 804 } 805 806 set: 807 matmat->symbolic = symbolic; 808 matmat->numeric = numeric; 809 matmat->destroy = destroy; 810 matmat->ptype = ptype; 811 PetscCall(PetscFree(matmat->composedname)); 812 PetscCall(PetscFree(matmat->resultname)); 813 PetscCall(PetscStrallocpy(composedname, &matmat->composedname)); 814 PetscCall(PetscStrallocpy(resultname, &matmat->resultname)); 815 PetscCall(PetscInfo(A, "Composing %s for product type %s with result %s\n", matmat->composedname, MatProductTypes[matmat->ptype], matmat->resultname ? matmat->resultname : "not specified")); 816 PetscCall(PetscObjectComposeFunction((PetscObject)A, matmat->composedname, MatProductSetFromOptions_Shell_X)); 817 PetscFunctionReturn(PETSC_SUCCESS); 818 } 819 820 /*@C 821 MatShellSetMatProductOperation - Allows user to set a matrix matrix operation for a `MATSHELL` shell matrix. 822 823 Logically Collective; No Fortran Support 824 825 Input Parameters: 826 + A - the `MATSHELL` shell matrix 827 . ptype - the product type 828 . symbolic - the function for the symbolic phase (can be `NULL`) 829 . numeric - the function for the numerical phase 830 . destroy - the function for the destruction of the needed data generated during the symbolic phase (can be `NULL`) 831 . Btype - the matrix type for the matrix to be multiplied against 832 - Ctype - the matrix type for the result (can be `NULL`) 833 834 Level: advanced 835 836 Example Usage: 837 .vb 838 extern PetscErrorCode usersymbolic(Mat, Mat, Mat, void**); 839 extern PetscErrorCode usernumeric(Mat, Mat, Mat, void*); 840 extern PetscErrorCode ctxdestroy(void*); 841 842 MatCreateShell(comm, m, n, M, N, ctx, &A); 843 MatShellSetMatProductOperation( 844 A, MATPRODUCT_AB, usersymbolic, usernumeric, ctxdestroy,MATSEQAIJ, MATDENSE 845 ); 846 // create B of type SEQAIJ etc.. 847 MatProductCreate(A, B, PETSC_NULLPTR, &C); 848 MatProductSetType(C, MATPRODUCT_AB); 849 MatProductSetFromOptions(C); 850 MatProductSymbolic(C); // actually runs the user defined symbolic operation 851 MatProductNumeric(C); // actually runs the user defined numeric operation 852 // use C = A * B 853 .ve 854 855 Notes: 856 `MATPRODUCT_ABC` is not supported yet. 857 858 If the symbolic phase is not specified, `MatSetUp()` is called on the result matrix that must have its type set if Ctype is `NULL`. 859 860 Any additional data needed by the matrix product needs to be returned during the symbolic phase and destroyed with the destroy callback. 861 PETSc will take care of calling the user-defined callbacks. 862 It is allowed to specify the same callbacks for different Btype matrix types. 863 The couple (Btype,ptype) uniquely identifies the operation, the last specified callbacks takes precedence. 864 865 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellGetOperation()`, `MatShellSetContext()`, `MatSetOperation()`, `MatProductType`, `MatType`, `MatSetUp()` 866 @*/ 867 PetscErrorCode MatShellSetMatProductOperation(Mat A, MatProductType ptype, PetscErrorCode (*symbolic)(Mat, Mat, Mat, void **), PetscErrorCode (*numeric)(Mat, Mat, Mat, void *), PetscErrorCode (*destroy)(void *), MatType Btype, MatType Ctype) 868 { 869 PetscFunctionBegin; 870 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 871 PetscValidLogicalCollectiveEnum(A, ptype, 2); 872 PetscCheck(ptype != MATPRODUCT_ABC, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Not for product type %s", MatProductTypes[ptype]); 873 PetscCheck(numeric, PetscObjectComm((PetscObject)A), PETSC_ERR_USER, "Missing numeric routine, argument 4"); 874 PetscAssertPointer(Btype, 6); 875 if (Ctype) PetscAssertPointer(Ctype, 7); 876 PetscTryMethod(A, "MatShellSetMatProductOperation_C", (Mat, MatProductType, PetscErrorCode (*)(Mat, Mat, Mat, void **), PetscErrorCode (*)(Mat, Mat, Mat, void *), PetscErrorCode (*)(void *), MatType, MatType), (A, ptype, symbolic, numeric, destroy, Btype, Ctype)); 877 PetscFunctionReturn(PETSC_SUCCESS); 878 } 879 880 static PetscErrorCode MatShellSetMatProductOperation_Shell(Mat A, MatProductType ptype, PetscErrorCode (*symbolic)(Mat, Mat, Mat, void **), PetscErrorCode (*numeric)(Mat, Mat, Mat, void *), PetscErrorCode (*destroy)(void *), MatType Btype, MatType Ctype) 881 { 882 PetscBool flg; 883 char composedname[256]; 884 MatRootName Bnames = MatRootNameList, Cnames = MatRootNameList; 885 PetscMPIInt size; 886 887 PetscFunctionBegin; 888 PetscValidType(A, 1); 889 while (Bnames) { /* user passed in the root name */ 890 PetscCall(PetscStrcmp(Btype, Bnames->rname, &flg)); 891 if (flg) break; 892 Bnames = Bnames->next; 893 } 894 while (Cnames) { /* user passed in the root name */ 895 PetscCall(PetscStrcmp(Ctype, Cnames->rname, &flg)); 896 if (flg) break; 897 Cnames = Cnames->next; 898 } 899 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); 900 Btype = Bnames ? (size > 1 ? Bnames->mname : Bnames->sname) : Btype; 901 Ctype = Cnames ? (size > 1 ? Cnames->mname : Cnames->sname) : Ctype; 902 PetscCall(PetscSNPrintf(composedname, sizeof(composedname), "MatProductSetFromOptions_%s_%s_C", ((PetscObject)A)->type_name, Btype)); 903 PetscCall(MatShellSetMatProductOperation_Private(A, ptype, symbolic, numeric, destroy, composedname, Ctype)); 904 PetscFunctionReturn(PETSC_SUCCESS); 905 } 906 907 static PetscErrorCode MatCopy_Shell(Mat A, Mat B, MatStructure str) 908 { 909 Mat_Shell *shellA = (Mat_Shell *)A->data, *shellB = (Mat_Shell *)B->data; 910 PetscBool matflg; 911 MatShellMatFunctionList matmatA; 912 913 PetscFunctionBegin; 914 PetscCall(MatIsShell(B, &matflg)); 915 PetscCheck(matflg, PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONG, "Matrix %s not derived from MATSHELL", ((PetscObject)B)->type_name); 916 917 B->ops[0] = A->ops[0]; 918 shellB->ops[0] = shellA->ops[0]; 919 920 if (shellA->ops->copy) PetscCall((*shellA->ops->copy)(A, B, str)); 921 shellB->vscale = shellA->vscale; 922 shellB->vshift = shellA->vshift; 923 if (shellA->dshift) { 924 if (!shellB->dshift) PetscCall(VecDuplicate(shellA->dshift, &shellB->dshift)); 925 PetscCall(VecCopy(shellA->dshift, shellB->dshift)); 926 } else { 927 PetscCall(VecDestroy(&shellB->dshift)); 928 } 929 if (shellA->left) { 930 if (!shellB->left) PetscCall(VecDuplicate(shellA->left, &shellB->left)); 931 PetscCall(VecCopy(shellA->left, shellB->left)); 932 } else { 933 PetscCall(VecDestroy(&shellB->left)); 934 } 935 if (shellA->right) { 936 if (!shellB->right) PetscCall(VecDuplicate(shellA->right, &shellB->right)); 937 PetscCall(VecCopy(shellA->right, shellB->right)); 938 } else { 939 PetscCall(VecDestroy(&shellB->right)); 940 } 941 PetscCall(MatDestroy(&shellB->axpy)); 942 shellB->axpy_vscale = 0.0; 943 shellB->axpy_state = 0; 944 if (shellA->axpy) { 945 PetscCall(PetscObjectReference((PetscObject)shellA->axpy)); 946 shellB->axpy = shellA->axpy; 947 shellB->axpy_vscale = shellA->axpy_vscale; 948 shellB->axpy_state = shellA->axpy_state; 949 } 950 if (shellA->zrows) { 951 PetscCall(ISDuplicate(shellA->zrows, &shellB->zrows)); 952 if (shellA->zcols) PetscCall(ISDuplicate(shellA->zcols, &shellB->zcols)); 953 PetscCall(VecDuplicate(shellA->zvals, &shellB->zvals)); 954 PetscCall(VecCopy(shellA->zvals, shellB->zvals)); 955 PetscCall(VecDuplicate(shellA->zvals_w, &shellB->zvals_w)); 956 PetscCall(PetscObjectReference((PetscObject)shellA->zvals_sct_r)); 957 PetscCall(PetscObjectReference((PetscObject)shellA->zvals_sct_c)); 958 shellB->zvals_sct_r = shellA->zvals_sct_r; 959 shellB->zvals_sct_c = shellA->zvals_sct_c; 960 } 961 962 matmatA = shellA->matmat; 963 if (matmatA) { 964 while (matmatA->next) { 965 PetscCall(MatShellSetMatProductOperation_Private(B, matmatA->ptype, matmatA->symbolic, matmatA->numeric, matmatA->destroy, matmatA->composedname, matmatA->resultname)); 966 matmatA = matmatA->next; 967 } 968 } 969 PetscFunctionReturn(PETSC_SUCCESS); 970 } 971 972 static PetscErrorCode MatDuplicate_Shell(Mat mat, MatDuplicateOption op, Mat *M) 973 { 974 PetscFunctionBegin; 975 PetscCall(MatCreateShell(PetscObjectComm((PetscObject)mat), mat->rmap->n, mat->cmap->n, mat->rmap->N, mat->cmap->N, NULL, M)); 976 ((Mat_Shell *)(*M)->data)->ctxcontainer = ((Mat_Shell *)mat->data)->ctxcontainer; 977 PetscCall(PetscObjectCompose((PetscObject)*M, "MatShell ctx", (PetscObject)((Mat_Shell *)(*M)->data)->ctxcontainer)); 978 PetscCall(PetscObjectChangeTypeName((PetscObject)*M, ((PetscObject)mat)->type_name)); 979 if (op == MAT_COPY_VALUES) PetscCall(MatCopy(mat, *M, SAME_NONZERO_PATTERN)); 980 PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)mat, (PetscObject)*M)); 981 PetscFunctionReturn(PETSC_SUCCESS); 982 } 983 984 static PetscErrorCode MatMult_Shell(Mat A, Vec x, Vec y) 985 { 986 Mat_Shell *shell = (Mat_Shell *)A->data; 987 Vec xx; 988 PetscObjectState instate, outstate; 989 990 PetscFunctionBegin; 991 PetscCall(MatShellPreZeroRight(A, x, &xx)); 992 PetscCall(MatShellPreScaleRight(A, xx, &xx)); 993 PetscCall(PetscObjectStateGet((PetscObject)y, &instate)); 994 PetscCall((*shell->ops->mult)(A, xx, y)); 995 PetscCall(PetscObjectStateGet((PetscObject)y, &outstate)); 996 if (instate == outstate) { 997 /* increase the state of the output vector since the user did not update its state themself as should have been done */ 998 PetscCall(PetscObjectStateIncrease((PetscObject)y)); 999 } 1000 PetscCall(MatShellShiftAndScale(A, xx, y, PETSC_FALSE)); 1001 PetscCall(MatShellPostScaleLeft(A, y)); 1002 PetscCall(MatShellPostZeroLeft(A, y)); 1003 1004 if (shell->axpy) { 1005 Mat X; 1006 PetscObjectState axpy_state; 1007 1008 PetscCall(MatShellGetContext(shell->axpy, &X)); 1009 PetscCall(PetscObjectStateGet((PetscObject)X, &axpy_state)); 1010 PetscCheck(shell->axpy_state == axpy_state, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Invalid AXPY state: cannot modify the X matrix passed to MatAXPY(Y,a,X,...)"); 1011 1012 PetscCall(MatCreateVecs(shell->axpy, shell->axpy_right ? NULL : &shell->axpy_right, shell->axpy_left ? NULL : &shell->axpy_left)); 1013 PetscCall(VecCopy(x, shell->axpy_right)); 1014 PetscCall(MatMult(shell->axpy, shell->axpy_right, shell->axpy_left)); 1015 PetscCall(VecAXPY(y, shell->axpy_vscale, shell->axpy_left)); 1016 } 1017 PetscFunctionReturn(PETSC_SUCCESS); 1018 } 1019 1020 static PetscErrorCode MatMultAdd_Shell(Mat A, Vec x, Vec y, Vec z) 1021 { 1022 Mat_Shell *shell = (Mat_Shell *)A->data; 1023 1024 PetscFunctionBegin; 1025 if (y == z) { 1026 if (!shell->right_add_work) PetscCall(VecDuplicate(z, &shell->right_add_work)); 1027 PetscCall(MatMult(A, x, shell->right_add_work)); 1028 PetscCall(VecAXPY(z, 1.0, shell->right_add_work)); 1029 } else { 1030 PetscCall(MatMult(A, x, z)); 1031 PetscCall(VecAXPY(z, 1.0, y)); 1032 } 1033 PetscFunctionReturn(PETSC_SUCCESS); 1034 } 1035 1036 static PetscErrorCode MatMultTranspose_Shell(Mat A, Vec x, Vec y) 1037 { 1038 Mat_Shell *shell = (Mat_Shell *)A->data; 1039 Vec xx; 1040 PetscObjectState instate, outstate; 1041 1042 PetscFunctionBegin; 1043 PetscCall(MatShellPreZeroLeft(A, x, &xx)); 1044 PetscCall(MatShellPreScaleLeft(A, xx, &xx, PETSC_FALSE)); 1045 PetscCall(PetscObjectStateGet((PetscObject)y, &instate)); 1046 PetscCall((*shell->ops->multtranspose)(A, xx, y)); 1047 PetscCall(PetscObjectStateGet((PetscObject)y, &outstate)); 1048 if (instate == outstate) { 1049 /* increase the state of the output vector since the user did not update its state themself as should have been done */ 1050 PetscCall(PetscObjectStateIncrease((PetscObject)y)); 1051 } 1052 PetscCall(MatShellShiftAndScale(A, xx, y, PETSC_FALSE)); 1053 PetscCall(MatShellPostScaleRight(A, y, PETSC_FALSE)); 1054 PetscCall(MatShellPostZeroRight(A, y)); 1055 1056 if (shell->axpy) { 1057 Mat X; 1058 PetscObjectState axpy_state; 1059 1060 PetscCall(MatShellGetContext(shell->axpy, &X)); 1061 PetscCall(PetscObjectStateGet((PetscObject)X, &axpy_state)); 1062 PetscCheck(shell->axpy_state == axpy_state, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Invalid AXPY state: cannot modify the X matrix passed to MatAXPY(Y,a,X,...)"); 1063 PetscCall(MatCreateVecs(shell->axpy, shell->axpy_right ? NULL : &shell->axpy_right, shell->axpy_left ? NULL : &shell->axpy_left)); 1064 PetscCall(VecCopy(x, shell->axpy_left)); 1065 PetscCall(MatMultTranspose(shell->axpy, shell->axpy_left, shell->axpy_right)); 1066 PetscCall(VecAXPY(y, shell->axpy_vscale, shell->axpy_right)); 1067 } 1068 PetscFunctionReturn(PETSC_SUCCESS); 1069 } 1070 1071 static PetscErrorCode MatMultHermitianTranspose_Shell(Mat A, Vec x, Vec y) 1072 { 1073 Mat_Shell *shell = (Mat_Shell *)A->data; 1074 Vec xx; 1075 PetscObjectState instate, outstate; 1076 1077 PetscFunctionBegin; 1078 PetscCall(MatShellPreZeroLeft(A, x, &xx)); 1079 PetscCall(MatShellPreScaleLeft(A, xx, &xx, PETSC_TRUE)); 1080 PetscCall(PetscObjectStateGet((PetscObject)y, &instate)); 1081 PetscCall((*shell->ops->multhermitiantranspose)(A, xx, y)); 1082 PetscCall(PetscObjectStateGet((PetscObject)y, &outstate)); 1083 if (instate == outstate) { 1084 /* increase the state of the output vector since the user did not update its state themself as should have been done */ 1085 PetscCall(PetscObjectStateIncrease((PetscObject)y)); 1086 } 1087 PetscCall(MatShellShiftAndScale(A, xx, y, PETSC_TRUE)); 1088 PetscCall(MatShellPostScaleRight(A, y, PETSC_TRUE)); 1089 PetscCall(MatShellPostZeroRight(A, y)); 1090 1091 if (shell->axpy) { 1092 Mat X; 1093 PetscObjectState axpy_state; 1094 1095 PetscCall(MatShellGetContext(shell->axpy, &X)); 1096 PetscCall(PetscObjectStateGet((PetscObject)X, &axpy_state)); 1097 PetscCheck(shell->axpy_state == axpy_state, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Invalid AXPY state: cannot modify the X matrix passed to MatAXPY(Y,a,X,...)"); 1098 PetscCall(MatCreateVecs(shell->axpy, shell->axpy_right ? NULL : &shell->axpy_right, shell->axpy_left ? NULL : &shell->axpy_left)); 1099 PetscCall(VecCopy(x, shell->axpy_left)); 1100 PetscCall(MatMultHermitianTranspose(shell->axpy, shell->axpy_left, shell->axpy_right)); 1101 PetscCall(VecAXPY(y, PetscConj(shell->axpy_vscale), shell->axpy_right)); 1102 } 1103 PetscFunctionReturn(PETSC_SUCCESS); 1104 } 1105 1106 static PetscErrorCode MatMultTransposeAdd_Shell(Mat A, Vec x, Vec y, Vec z) 1107 { 1108 Mat_Shell *shell = (Mat_Shell *)A->data; 1109 1110 PetscFunctionBegin; 1111 if (y == z) { 1112 if (!shell->left_add_work) PetscCall(VecDuplicate(z, &shell->left_add_work)); 1113 PetscCall(MatMultTranspose(A, x, shell->left_add_work)); 1114 PetscCall(VecAXPY(z, 1.0, shell->left_add_work)); 1115 } else { 1116 PetscCall(MatMultTranspose(A, x, z)); 1117 PetscCall(VecAXPY(z, 1.0, y)); 1118 } 1119 PetscFunctionReturn(PETSC_SUCCESS); 1120 } 1121 1122 static PetscErrorCode MatMultHermitianTransposeAdd_Shell(Mat A, Vec x, Vec y, Vec z) 1123 { 1124 Mat_Shell *shell = (Mat_Shell *)A->data; 1125 1126 PetscFunctionBegin; 1127 if (y == z) { 1128 if (!shell->left_add_work) PetscCall(VecDuplicate(z, &shell->left_add_work)); 1129 PetscCall(MatMultHermitianTranspose(A, x, shell->left_add_work)); 1130 PetscCall(VecAXPY(z, 1.0, shell->left_add_work)); 1131 } else { 1132 PetscCall(MatMultHermitianTranspose(A, x, z)); 1133 PetscCall(VecAXPY(z, 1.0, y)); 1134 } 1135 PetscFunctionReturn(PETSC_SUCCESS); 1136 } 1137 1138 /* 1139 diag(left)(vscale*A + diag(dshift) + vshift I)diag(right) 1140 */ 1141 static PetscErrorCode MatGetDiagonal_Shell(Mat A, Vec v) 1142 { 1143 Mat_Shell *shell = (Mat_Shell *)A->data; 1144 1145 PetscFunctionBegin; 1146 if (shell->ops->getdiagonal) { 1147 PetscCall((*shell->ops->getdiagonal)(A, v)); 1148 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONGSTATE, "Must provide shell matrix with routine to return diagonal using\nMatShellSetOperation(S,MATOP_GET_DIAGONAL,...)"); 1149 PetscCall(VecScale(v, shell->vscale)); 1150 if (shell->dshift) PetscCall(VecAXPY(v, 1.0, shell->dshift)); 1151 PetscCall(VecShift(v, shell->vshift)); 1152 if (shell->left) PetscCall(VecPointwiseMult(v, v, shell->left)); 1153 if (shell->right) PetscCall(VecPointwiseMult(v, v, shell->right)); 1154 if (shell->zrows) { 1155 PetscCall(VecScatterBegin(shell->zvals_sct_r, shell->zvals, v, INSERT_VALUES, SCATTER_REVERSE)); 1156 PetscCall(VecScatterEnd(shell->zvals_sct_r, shell->zvals, v, INSERT_VALUES, SCATTER_REVERSE)); 1157 } 1158 if (shell->axpy) { 1159 Mat X; 1160 PetscObjectState axpy_state; 1161 1162 PetscCall(MatShellGetContext(shell->axpy, &X)); 1163 PetscCall(PetscObjectStateGet((PetscObject)X, &axpy_state)); 1164 PetscCheck(shell->axpy_state == axpy_state, PetscObjectComm((PetscObject)A), PETSC_ERR_ORDER, "Invalid AXPY state: cannot modify the X matrix passed to MatAXPY(Y,a,X,...)"); 1165 PetscCall(MatCreateVecs(shell->axpy, NULL, shell->axpy_left ? NULL : &shell->axpy_left)); 1166 PetscCall(MatGetDiagonal(shell->axpy, shell->axpy_left)); 1167 PetscCall(VecAXPY(v, shell->axpy_vscale, shell->axpy_left)); 1168 } 1169 PetscFunctionReturn(PETSC_SUCCESS); 1170 } 1171 1172 static PetscErrorCode MatGetDiagonalBlock_Shell(Mat A, Mat *b) 1173 { 1174 Mat_Shell *shell = (Mat_Shell *)A->data; 1175 Vec left = NULL, right = NULL; 1176 1177 PetscFunctionBegin; 1178 PetscCheck(!shell->zrows && !shell->zcols, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Cannot call MatGetDiagonalBlock() if MatZeroRows() or MatZeroRowsColumns() has been called on the input Mat"); // TODO FIXME 1179 PetscCheck(!shell->axpy, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Cannot call MatGetDiagonalBlock() if MatAXPY() has been called on the input Mat"); // TODO FIXME 1180 PetscCheck(!shell->dshift, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Cannot call MatGetDiagonalBlock() if MatDiagonalSet() has been called on the input Mat"); // TODO FIXME 1181 if (shell->ops->getdiagonalblock) { 1182 PetscCall((*shell->ops->getdiagonalblock)(A, b)); 1183 } else SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_ARG_WRONGSTATE, "Must provide shell matrix with routine to return diagonal block using\nMatShellSetOperation(S,MATOP_GET_DIAGONAL_BLOCK,...)"); 1184 PetscCall(MatScale(*b, shell->vscale)); 1185 PetscCall(MatShift(*b, shell->vshift)); 1186 if (shell->left) { 1187 PetscCall(VecCreateLocalVector(shell->left, &left)); 1188 PetscCall(VecGetLocalVectorRead(shell->left, left)); 1189 } 1190 if (shell->right) { 1191 PetscCall(VecCreateLocalVector(shell->right, &right)); 1192 PetscCall(VecGetLocalVectorRead(shell->right, right)); 1193 } 1194 PetscCall(MatDiagonalScale(*b, left, right)); 1195 if (shell->left) { 1196 PetscCall(VecRestoreLocalVectorRead(shell->left, left)); 1197 PetscCall(VecDestroy(&left)); 1198 } 1199 if (shell->right) { 1200 PetscCall(VecRestoreLocalVectorRead(shell->right, right)); 1201 PetscCall(VecDestroy(&right)); 1202 } 1203 PetscFunctionReturn(PETSC_SUCCESS); 1204 } 1205 1206 static PetscErrorCode MatShift_Shell(Mat Y, PetscScalar a) 1207 { 1208 Mat_Shell *shell = (Mat_Shell *)Y->data; 1209 PetscBool flg; 1210 1211 PetscFunctionBegin; 1212 PetscCall(MatHasCongruentLayouts(Y, &flg)); 1213 PetscCheck(flg, PetscObjectComm((PetscObject)Y), PETSC_ERR_SUP, "Cannot shift shell matrix if it is not congruent"); 1214 if (shell->left || shell->right) { 1215 if (!shell->dshift) { 1216 PetscCall(VecDuplicate(shell->left ? shell->left : shell->right, &shell->dshift)); 1217 PetscCall(VecSet(shell->dshift, a)); 1218 } else { 1219 if (shell->left) PetscCall(VecPointwiseMult(shell->dshift, shell->dshift, shell->left)); 1220 if (shell->right) PetscCall(VecPointwiseMult(shell->dshift, shell->dshift, shell->right)); 1221 PetscCall(VecShift(shell->dshift, a)); 1222 } 1223 if (shell->left) PetscCall(VecPointwiseDivide(shell->dshift, shell->dshift, shell->left)); 1224 if (shell->right) PetscCall(VecPointwiseDivide(shell->dshift, shell->dshift, shell->right)); 1225 } else shell->vshift += a; 1226 if (shell->zrows) PetscCall(VecShift(shell->zvals, a)); 1227 PetscFunctionReturn(PETSC_SUCCESS); 1228 } 1229 1230 static PetscErrorCode MatDiagonalSet_Shell_Private(Mat A, Vec D, PetscScalar s) 1231 { 1232 Mat_Shell *shell = (Mat_Shell *)A->data; 1233 1234 PetscFunctionBegin; 1235 if (!shell->dshift) PetscCall(VecDuplicate(D, &shell->dshift)); 1236 if (shell->left || shell->right) { 1237 if (!shell->right_work) PetscCall(VecDuplicate(shell->left ? shell->left : shell->right, &shell->right_work)); 1238 if (shell->left && shell->right) { 1239 PetscCall(VecPointwiseDivide(shell->right_work, D, shell->left)); 1240 PetscCall(VecPointwiseDivide(shell->right_work, shell->right_work, shell->right)); 1241 } else if (shell->left) { 1242 PetscCall(VecPointwiseDivide(shell->right_work, D, shell->left)); 1243 } else { 1244 PetscCall(VecPointwiseDivide(shell->right_work, D, shell->right)); 1245 } 1246 PetscCall(VecAXPY(shell->dshift, s, shell->right_work)); 1247 } else { 1248 PetscCall(VecAXPY(shell->dshift, s, D)); 1249 } 1250 PetscFunctionReturn(PETSC_SUCCESS); 1251 } 1252 1253 static PetscErrorCode MatDiagonalSet_Shell(Mat A, Vec D, InsertMode ins) 1254 { 1255 Mat_Shell *shell = (Mat_Shell *)A->data; 1256 Vec d; 1257 PetscBool flg; 1258 1259 PetscFunctionBegin; 1260 PetscCall(MatHasCongruentLayouts(A, &flg)); 1261 PetscCheck(flg, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Cannot diagonal set or shift shell matrix if it is not congruent"); 1262 if (ins == INSERT_VALUES) { 1263 PetscCall(VecDuplicate(D, &d)); 1264 PetscCall(MatGetDiagonal(A, d)); 1265 PetscCall(MatDiagonalSet_Shell_Private(A, d, -1.)); 1266 PetscCall(MatDiagonalSet_Shell_Private(A, D, 1.)); 1267 PetscCall(VecDestroy(&d)); 1268 if (shell->zrows) PetscCall(VecCopy(D, shell->zvals)); 1269 } else { 1270 PetscCall(MatDiagonalSet_Shell_Private(A, D, 1.)); 1271 if (shell->zrows) PetscCall(VecAXPY(shell->zvals, 1.0, D)); 1272 } 1273 PetscFunctionReturn(PETSC_SUCCESS); 1274 } 1275 1276 static PetscErrorCode MatScale_Shell(Mat Y, PetscScalar a) 1277 { 1278 Mat_Shell *shell = (Mat_Shell *)Y->data; 1279 1280 PetscFunctionBegin; 1281 shell->vscale *= a; 1282 shell->vshift *= a; 1283 if (shell->dshift) PetscCall(VecScale(shell->dshift, a)); 1284 shell->axpy_vscale *= a; 1285 if (shell->zrows) PetscCall(VecScale(shell->zvals, a)); 1286 PetscFunctionReturn(PETSC_SUCCESS); 1287 } 1288 1289 static PetscErrorCode MatDiagonalScale_Shell(Mat Y, Vec left, Vec right) 1290 { 1291 Mat_Shell *shell = (Mat_Shell *)Y->data; 1292 1293 PetscFunctionBegin; 1294 if (left) { 1295 if (!shell->left) { 1296 PetscCall(VecDuplicate(left, &shell->left)); 1297 PetscCall(VecCopy(left, shell->left)); 1298 } else { 1299 PetscCall(VecPointwiseMult(shell->left, shell->left, left)); 1300 } 1301 if (shell->zrows) PetscCall(VecPointwiseMult(shell->zvals, shell->zvals, left)); 1302 } 1303 if (right) { 1304 if (!shell->right) { 1305 PetscCall(VecDuplicate(right, &shell->right)); 1306 PetscCall(VecCopy(right, shell->right)); 1307 } else { 1308 PetscCall(VecPointwiseMult(shell->right, shell->right, right)); 1309 } 1310 if (shell->zrows) { 1311 if (!shell->left_work) PetscCall(MatCreateVecs(Y, NULL, &shell->left_work)); 1312 PetscCall(VecSet(shell->zvals_w, 1.0)); 1313 PetscCall(VecScatterBegin(shell->zvals_sct_c, right, shell->zvals_w, INSERT_VALUES, SCATTER_FORWARD)); 1314 PetscCall(VecScatterEnd(shell->zvals_sct_c, right, shell->zvals_w, INSERT_VALUES, SCATTER_FORWARD)); 1315 PetscCall(VecPointwiseMult(shell->zvals, shell->zvals, shell->zvals_w)); 1316 } 1317 } 1318 if (shell->axpy) PetscCall(MatDiagonalScale(shell->axpy, left, right)); 1319 PetscFunctionReturn(PETSC_SUCCESS); 1320 } 1321 1322 PETSC_INTERN PetscErrorCode MatAssemblyEnd_Shell(Mat Y, MatAssemblyType t) 1323 { 1324 Mat_Shell *shell = (Mat_Shell *)Y->data; 1325 1326 PetscFunctionBegin; 1327 if (t == MAT_FINAL_ASSEMBLY) { 1328 shell->vshift = 0.0; 1329 shell->vscale = 1.0; 1330 shell->axpy_vscale = 0.0; 1331 shell->axpy_state = 0; 1332 PetscCall(VecDestroy(&shell->dshift)); 1333 PetscCall(VecDestroy(&shell->left)); 1334 PetscCall(VecDestroy(&shell->right)); 1335 PetscCall(MatDestroy(&shell->axpy)); 1336 PetscCall(VecDestroy(&shell->axpy_left)); 1337 PetscCall(VecDestroy(&shell->axpy_right)); 1338 PetscCall(VecScatterDestroy(&shell->zvals_sct_c)); 1339 PetscCall(VecScatterDestroy(&shell->zvals_sct_r)); 1340 PetscCall(ISDestroy(&shell->zrows)); 1341 PetscCall(ISDestroy(&shell->zcols)); 1342 } 1343 PetscFunctionReturn(PETSC_SUCCESS); 1344 } 1345 1346 static PetscErrorCode MatMissingDiagonal_Shell(Mat A, PetscBool *missing, PetscInt *d) 1347 { 1348 PetscFunctionBegin; 1349 *missing = PETSC_FALSE; 1350 PetscFunctionReturn(PETSC_SUCCESS); 1351 } 1352 1353 static PetscErrorCode MatAXPY_Shell(Mat Y, PetscScalar a, Mat X, MatStructure str) 1354 { 1355 Mat_Shell *shell = (Mat_Shell *)Y->data; 1356 1357 PetscFunctionBegin; 1358 if (X == Y) { 1359 PetscCall(MatScale(Y, 1.0 + a)); 1360 PetscFunctionReturn(PETSC_SUCCESS); 1361 } 1362 if (!shell->axpy) { 1363 PetscCall(MatConvertFrom_Shell(X, MATSHELL, MAT_INITIAL_MATRIX, &shell->axpy)); 1364 shell->axpy_vscale = a; 1365 PetscCall(PetscObjectStateGet((PetscObject)X, &shell->axpy_state)); 1366 } else { 1367 PetscCall(MatAXPY(shell->axpy, a / shell->axpy_vscale, X, str)); 1368 } 1369 PetscFunctionReturn(PETSC_SUCCESS); 1370 } 1371 1372 static struct _MatOps MatOps_Values = {NULL, 1373 NULL, 1374 NULL, 1375 NULL, 1376 /* 4*/ MatMultAdd_Shell, 1377 NULL, 1378 MatMultTransposeAdd_Shell, 1379 NULL, 1380 NULL, 1381 NULL, 1382 /*10*/ NULL, 1383 NULL, 1384 NULL, 1385 NULL, 1386 NULL, 1387 /*15*/ NULL, 1388 NULL, 1389 NULL, 1390 MatDiagonalScale_Shell, 1391 NULL, 1392 /*20*/ NULL, 1393 MatAssemblyEnd_Shell, 1394 NULL, 1395 NULL, 1396 /*24*/ MatZeroRows_Shell, 1397 NULL, 1398 NULL, 1399 NULL, 1400 NULL, 1401 /*29*/ NULL, 1402 NULL, 1403 NULL, 1404 /*32*/ NULL, 1405 NULL, 1406 /*34*/ MatDuplicate_Shell, 1407 NULL, 1408 NULL, 1409 NULL, 1410 NULL, 1411 /*39*/ MatAXPY_Shell, 1412 NULL, 1413 NULL, 1414 NULL, 1415 MatCopy_Shell, 1416 /*44*/ NULL, 1417 MatScale_Shell, 1418 MatShift_Shell, 1419 MatDiagonalSet_Shell, 1420 MatZeroRowsColumns_Shell, 1421 /*49*/ NULL, 1422 NULL, 1423 NULL, 1424 NULL, 1425 NULL, 1426 /*54*/ NULL, 1427 NULL, 1428 NULL, 1429 NULL, 1430 NULL, 1431 /*59*/ NULL, 1432 MatDestroy_Shell, 1433 NULL, 1434 MatConvertFrom_Shell, 1435 NULL, 1436 /*64*/ NULL, 1437 NULL, 1438 NULL, 1439 NULL, 1440 NULL, 1441 /*69*/ NULL, 1442 MatConvert_Shell, 1443 NULL, 1444 NULL, 1445 NULL, 1446 /*74*/ NULL, 1447 NULL, 1448 NULL, 1449 NULL, 1450 NULL, 1451 /*79*/ NULL, 1452 NULL, 1453 NULL, 1454 NULL, 1455 NULL, 1456 /*84*/ NULL, 1457 NULL, 1458 NULL, 1459 NULL, 1460 NULL, 1461 /*89*/ NULL, 1462 NULL, 1463 NULL, 1464 NULL, 1465 NULL, 1466 /*94*/ NULL, 1467 NULL, 1468 NULL, 1469 NULL, 1470 NULL, 1471 /*99*/ NULL, 1472 NULL, 1473 NULL, 1474 NULL, 1475 NULL, 1476 /*104*/ MatMissingDiagonal_Shell, 1477 NULL, 1478 NULL, 1479 NULL, 1480 NULL, 1481 /*109*/ NULL, 1482 NULL, 1483 NULL, 1484 NULL, 1485 MatMultHermitianTransposeAdd_Shell, 1486 /*114*/ NULL, 1487 NULL, 1488 NULL, 1489 NULL, 1490 NULL, 1491 /*119*/ NULL, 1492 NULL, 1493 NULL, 1494 NULL, 1495 NULL, 1496 /*124*/ NULL, 1497 NULL, 1498 NULL, 1499 NULL, 1500 NULL, 1501 /*129*/ NULL, 1502 NULL, 1503 NULL, 1504 NULL, 1505 NULL, 1506 /*134*/ NULL, 1507 NULL, 1508 NULL, 1509 NULL, 1510 NULL, 1511 /*139*/ NULL, 1512 NULL, 1513 NULL, 1514 NULL, 1515 NULL}; 1516 1517 static PetscErrorCode MatShellSetContext_Shell(Mat mat, void *ctx) 1518 { 1519 Mat_Shell *shell = (Mat_Shell *)mat->data; 1520 1521 PetscFunctionBegin; 1522 if (ctx) { 1523 PetscContainer ctxcontainer; 1524 PetscCall(PetscContainerCreate(PetscObjectComm((PetscObject)mat), &ctxcontainer)); 1525 PetscCall(PetscContainerSetPointer(ctxcontainer, ctx)); 1526 PetscCall(PetscObjectCompose((PetscObject)mat, "MatShell ctx", (PetscObject)ctxcontainer)); 1527 shell->ctxcontainer = ctxcontainer; 1528 PetscCall(PetscContainerDestroy(&ctxcontainer)); 1529 } else { 1530 PetscCall(PetscObjectCompose((PetscObject)mat, "MatShell ctx", NULL)); 1531 shell->ctxcontainer = NULL; 1532 } 1533 PetscFunctionReturn(PETSC_SUCCESS); 1534 } 1535 1536 static PetscErrorCode MatShellSetContextDestroy_Shell(Mat mat, PetscCtxDestroyFn *f) 1537 { 1538 Mat_Shell *shell = (Mat_Shell *)mat->data; 1539 1540 PetscFunctionBegin; 1541 if (shell->ctxcontainer) PetscCall(PetscContainerSetCtxDestroy(shell->ctxcontainer, f)); 1542 PetscFunctionReturn(PETSC_SUCCESS); 1543 } 1544 1545 PetscErrorCode MatShellSetContext_Immutable(Mat mat, void *ctx) 1546 { 1547 PetscFunctionBegin; 1548 SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_ARG_WRONGSTATE, "Cannot call MatShellSetContext() for a %s, it is used internally by the structure", ((PetscObject)mat)->type_name); 1549 PetscFunctionReturn(PETSC_SUCCESS); 1550 } 1551 1552 PetscErrorCode MatShellSetContextDestroy_Immutable(Mat mat, PetscCtxDestroyFn *f) 1553 { 1554 PetscFunctionBegin; 1555 SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_ARG_WRONGSTATE, "Cannot call MatShellSetContextDestroy() for a %s, it is used internally by the structure", ((PetscObject)mat)->type_name); 1556 PetscFunctionReturn(PETSC_SUCCESS); 1557 } 1558 1559 PetscErrorCode MatShellSetManageScalingShifts_Immutable(Mat mat) 1560 { 1561 PetscFunctionBegin; 1562 SETERRQ(PetscObjectComm((PetscObject)mat), PETSC_ERR_ARG_WRONGSTATE, "Cannot call MatShellSetManageScalingShifts() for a %s, it is used internally by the structure", ((PetscObject)mat)->type_name); 1563 PetscFunctionReturn(PETSC_SUCCESS); 1564 } 1565 1566 static PetscErrorCode MatShellSetVecType_Shell(Mat mat, VecType vtype) 1567 { 1568 PetscFunctionBegin; 1569 PetscCall(PetscFree(mat->defaultvectype)); 1570 PetscCall(PetscStrallocpy(vtype, (char **)&mat->defaultvectype)); 1571 PetscFunctionReturn(PETSC_SUCCESS); 1572 } 1573 1574 static PetscErrorCode MatShellSetManageScalingShifts_Shell(Mat A) 1575 { 1576 Mat_Shell *shell = (Mat_Shell *)A->data; 1577 1578 PetscFunctionBegin; 1579 shell->managescalingshifts = PETSC_FALSE; 1580 A->ops->diagonalset = NULL; 1581 A->ops->diagonalscale = NULL; 1582 A->ops->scale = NULL; 1583 A->ops->shift = NULL; 1584 A->ops->axpy = NULL; 1585 PetscFunctionReturn(PETSC_SUCCESS); 1586 } 1587 1588 static PetscErrorCode MatShellGetScalingShifts_Shell(Mat A, PetscScalar *vshift, PetscScalar *vscale, Vec *dshift, Vec *left, Vec *right, Mat *axpy, IS *zrows, IS *zcols) 1589 { 1590 Mat_Shell *shell = (Mat_Shell *)A->data; 1591 1592 PetscFunctionBegin; 1593 PetscCheck(shell->managescalingshifts, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Cannot get scaling and shifts if MatShellSetManageScalingShifts() has been called"); 1594 if (vshift == MAT_SHELL_NOT_ALLOWED) PetscCheck(shell->vshift == 0.0, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: vshift != 0.0, set via MatShift()"); 1595 else if (vshift) *vshift = shell->vshift; 1596 if (vscale == MAT_SHELL_NOT_ALLOWED) PetscCheck(shell->vscale == 1.0, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: vscale != 1.0, set via MatScale()"); 1597 else if (vscale) *vscale = shell->vscale; 1598 if (dshift == MAT_SHELL_NOT_ALLOWED) PetscCheck(!shell->dshift, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: dshift, set via MatDiagonalSet()"); 1599 else if (dshift) *dshift = shell->dshift; 1600 if (left == MAT_SHELL_NOT_ALLOWED) PetscCheck(!shell->left, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: left, set via MatDiagonalScale()"); 1601 else if (left) *left = shell->left; 1602 if (right == MAT_SHELL_NOT_ALLOWED) PetscCheck(!shell->right, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: right, set via MatDiagonalScale()"); 1603 else if (right) *right = shell->right; 1604 if (axpy == MAT_SHELL_NOT_ALLOWED) PetscCheck(!shell->axpy, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: axpy, set via MatAXPY()"); 1605 else if (axpy) *axpy = shell->axpy; 1606 if (zrows == MAT_SHELL_NOT_ALLOWED) PetscCheck(!shell->zrows, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: zrows, set via MatZeroRows()"); 1607 else if (zrows) *zrows = shell->zrows; 1608 if (zcols == MAT_SHELL_NOT_ALLOWED) PetscCheck(!shell->zcols, PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Non-trivial member in parent MatShell: zcols, set via MatZeroRowsColumns()"); 1609 else if (zcols) *zcols = shell->zcols; 1610 PetscFunctionReturn(PETSC_SUCCESS); 1611 } 1612 1613 static PetscErrorCode MatShellSetOperation_Shell(Mat mat, MatOperation op, void (*f)(void)) 1614 { 1615 Mat_Shell *shell = (Mat_Shell *)mat->data; 1616 1617 PetscFunctionBegin; 1618 switch (op) { 1619 case MATOP_DESTROY: 1620 shell->ops->destroy = (PetscErrorCode (*)(Mat))f; 1621 break; 1622 case MATOP_VIEW: 1623 if (!mat->ops->viewnative) mat->ops->viewnative = mat->ops->view; 1624 mat->ops->view = (PetscErrorCode (*)(Mat, PetscViewer))f; 1625 break; 1626 case MATOP_COPY: 1627 shell->ops->copy = (PetscErrorCode (*)(Mat, Mat, MatStructure))f; 1628 break; 1629 case MATOP_DIAGONAL_SET: 1630 case MATOP_DIAGONAL_SCALE: 1631 case MATOP_SHIFT: 1632 case MATOP_SCALE: 1633 case MATOP_AXPY: 1634 case MATOP_ZERO_ROWS: 1635 case MATOP_ZERO_ROWS_COLUMNS: 1636 PetscCheck(!shell->managescalingshifts, PetscObjectComm((PetscObject)mat), PETSC_ERR_ARG_WRONGSTATE, "MATSHELL is managing scalings and shifts, see MatShellSetManageScalingShifts()"); 1637 (((void (**)(void))mat->ops)[op]) = f; 1638 break; 1639 case MATOP_GET_DIAGONAL: 1640 if (shell->managescalingshifts) { 1641 shell->ops->getdiagonal = (PetscErrorCode (*)(Mat, Vec))f; 1642 mat->ops->getdiagonal = MatGetDiagonal_Shell; 1643 } else { 1644 shell->ops->getdiagonal = NULL; 1645 mat->ops->getdiagonal = (PetscErrorCode (*)(Mat, Vec))f; 1646 } 1647 break; 1648 case MATOP_GET_DIAGONAL_BLOCK: 1649 if (shell->managescalingshifts) { 1650 shell->ops->getdiagonalblock = (PetscErrorCode (*)(Mat, Mat *))f; 1651 mat->ops->getdiagonalblock = MatGetDiagonalBlock_Shell; 1652 } else { 1653 shell->ops->getdiagonalblock = NULL; 1654 mat->ops->getdiagonalblock = (PetscErrorCode (*)(Mat, Mat *))f; 1655 } 1656 break; 1657 case MATOP_MULT: 1658 if (shell->managescalingshifts) { 1659 shell->ops->mult = (PetscErrorCode (*)(Mat, Vec, Vec))f; 1660 mat->ops->mult = MatMult_Shell; 1661 } else { 1662 shell->ops->mult = NULL; 1663 mat->ops->mult = (PetscErrorCode (*)(Mat, Vec, Vec))f; 1664 } 1665 break; 1666 case MATOP_MULT_TRANSPOSE: 1667 if (shell->managescalingshifts) { 1668 shell->ops->multtranspose = (PetscErrorCode (*)(Mat, Vec, Vec))f; 1669 mat->ops->multtranspose = MatMultTranspose_Shell; 1670 } else { 1671 shell->ops->multtranspose = NULL; 1672 mat->ops->multtranspose = (PetscErrorCode (*)(Mat, Vec, Vec))f; 1673 } 1674 break; 1675 case MATOP_MULT_HERMITIAN_TRANSPOSE: 1676 if (shell->managescalingshifts) { 1677 shell->ops->multhermitiantranspose = (PetscErrorCode (*)(Mat, Vec, Vec))f; 1678 mat->ops->multhermitiantranspose = MatMultHermitianTranspose_Shell; 1679 } else { 1680 shell->ops->multhermitiantranspose = NULL; 1681 mat->ops->multhermitiantranspose = (PetscErrorCode (*)(Mat, Vec, Vec))f; 1682 } 1683 break; 1684 default: 1685 (((void (**)(void))mat->ops)[op]) = f; 1686 break; 1687 } 1688 PetscFunctionReturn(PETSC_SUCCESS); 1689 } 1690 1691 static PetscErrorCode MatShellGetOperation_Shell(Mat mat, MatOperation op, void (**f)(void)) 1692 { 1693 Mat_Shell *shell = (Mat_Shell *)mat->data; 1694 1695 PetscFunctionBegin; 1696 switch (op) { 1697 case MATOP_DESTROY: 1698 *f = (void (*)(void))shell->ops->destroy; 1699 break; 1700 case MATOP_VIEW: 1701 *f = (void (*)(void))mat->ops->view; 1702 break; 1703 case MATOP_COPY: 1704 *f = (void (*)(void))shell->ops->copy; 1705 break; 1706 case MATOP_DIAGONAL_SET: 1707 case MATOP_DIAGONAL_SCALE: 1708 case MATOP_SHIFT: 1709 case MATOP_SCALE: 1710 case MATOP_AXPY: 1711 case MATOP_ZERO_ROWS: 1712 case MATOP_ZERO_ROWS_COLUMNS: 1713 *f = (((void (**)(void))mat->ops)[op]); 1714 break; 1715 case MATOP_GET_DIAGONAL: 1716 if (shell->ops->getdiagonal) *f = (void (*)(void))shell->ops->getdiagonal; 1717 else *f = (((void (**)(void))mat->ops)[op]); 1718 break; 1719 case MATOP_GET_DIAGONAL_BLOCK: 1720 if (shell->ops->getdiagonalblock) *f = (void (*)(void))shell->ops->getdiagonalblock; 1721 else *f = (((void (**)(void))mat->ops)[op]); 1722 break; 1723 case MATOP_MULT: 1724 if (shell->ops->mult) *f = (void (*)(void))shell->ops->mult; 1725 else *f = (((void (**)(void))mat->ops)[op]); 1726 break; 1727 case MATOP_MULT_TRANSPOSE: 1728 if (shell->ops->multtranspose) *f = (void (*)(void))shell->ops->multtranspose; 1729 else *f = (((void (**)(void))mat->ops)[op]); 1730 break; 1731 case MATOP_MULT_HERMITIAN_TRANSPOSE: 1732 if (shell->ops->multhermitiantranspose) *f = (void (*)(void))shell->ops->multhermitiantranspose; 1733 else *f = (((void (**)(void))mat->ops)[op]); 1734 break; 1735 default: 1736 *f = (((void (**)(void))mat->ops)[op]); 1737 } 1738 PetscFunctionReturn(PETSC_SUCCESS); 1739 } 1740 1741 /*MC 1742 MATSHELL - MATSHELL = "shell" - A matrix type to be used to define your own matrix type with its own data structure -- perhaps matrix-free. 1743 1744 Level: advanced 1745 1746 Notes: 1747 See `MatCreateShell()` for details on the usage of `MATSHELL` 1748 1749 `PCSHELL` can be used in conjunction with `MATSHELL` to provide a custom preconditioner appropriate for your `MATSHELL`. Since 1750 many standard preconditioners such as `PCILU` depend on having an explicit representation of the matrix entries they cannot be used 1751 directly with `MATSHELL`. 1752 1753 .seealso: [](ch_matrices), `Mat`, `MatCreateShell()`, `PCSHELL` 1754 M*/ 1755 1756 PETSC_EXTERN PetscErrorCode MatCreate_Shell(Mat A) 1757 { 1758 Mat_Shell *b; 1759 1760 PetscFunctionBegin; 1761 PetscCall(PetscNew(&b)); 1762 A->data = (void *)b; 1763 A->ops[0] = MatOps_Values; 1764 1765 b->ctxcontainer = NULL; 1766 b->vshift = 0.0; 1767 b->vscale = 1.0; 1768 b->managescalingshifts = PETSC_TRUE; 1769 A->assembled = PETSC_TRUE; 1770 A->preallocated = PETSC_FALSE; 1771 1772 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellGetContext_C", MatShellGetContext_Shell)); 1773 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellSetContext_C", MatShellSetContext_Shell)); 1774 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellSetContextDestroy_C", MatShellSetContextDestroy_Shell)); 1775 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellSetVecType_C", MatShellSetVecType_Shell)); 1776 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellSetManageScalingShifts_C", MatShellSetManageScalingShifts_Shell)); 1777 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellGetScalingShifts_C", MatShellGetScalingShifts_Shell)); 1778 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellSetOperation_C", MatShellSetOperation_Shell)); 1779 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellGetOperation_C", MatShellGetOperation_Shell)); 1780 PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatShellSetMatProductOperation_C", MatShellSetMatProductOperation_Shell)); 1781 PetscCall(PetscObjectChangeTypeName((PetscObject)A, MATSHELL)); 1782 PetscFunctionReturn(PETSC_SUCCESS); 1783 } 1784 1785 /*@C 1786 MatCreateShell - Creates a new matrix of `MatType` `MATSHELL` for use with a user-defined 1787 private matrix data storage format. 1788 1789 Collective 1790 1791 Input Parameters: 1792 + comm - MPI communicator 1793 . m - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given) 1794 . n - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given) 1795 . M - number of global rows (may be `PETSC_DETERMINE` to have calculated if `m` is given) 1796 . N - number of global columns (may be `PETSC_DETERMINE` to have calculated if `n` is given) 1797 - ctx - pointer to data needed by the shell matrix routines 1798 1799 Output Parameter: 1800 . A - the matrix 1801 1802 Level: advanced 1803 1804 Example Usage: 1805 .vb 1806 extern PetscErrorCode mult(Mat, Vec, Vec); 1807 1808 MatCreateShell(comm, m, n, M, N, ctx, &mat); 1809 MatShellSetOperation(mat, MATOP_MULT, (void(*)(void))mult); 1810 MatShellSetContext(mat,ctx); 1811 // Use matrix for operations that have been set 1812 MatDestroy(mat); 1813 .ve 1814 1815 Notes: 1816 The shell matrix type is intended to provide a simple way for users to write a custom matrix specifically for their application. 1817 1818 `MatCreateShell()` is used in conjunction with `MatShellSetContext()` and `MatShellSetOperation()`. 1819 1820 PETSc requires that matrices and vectors being used for certain 1821 operations are partitioned accordingly. For example, when 1822 creating a shell matrix, `A`, that supports parallel matrix-vector 1823 products using `MatMult`(A,x,y) the user should set the number 1824 of local matrix rows to be the number of local elements of the 1825 corresponding result vector, y. Note that this is information is 1826 required for use of the matrix interface routines, even though 1827 the shell matrix may not actually be physically partitioned. 1828 For example, 1829 1830 .vb 1831 Vec x, y 1832 extern PetscErrorCode mult(Mat,Vec,Vec); 1833 Mat A 1834 1835 VecCreateMPI(comm,PETSC_DECIDE,M,&y); 1836 VecCreateMPI(comm,PETSC_DECIDE,N,&x); 1837 VecGetLocalSize(y,&m); 1838 VecGetLocalSize(x,&n); 1839 MatCreateShell(comm,m,n,M,N,ctx,&A); 1840 MatShellSetOperation(mat,MATOP_MULT,(void(*)(void))mult); 1841 MatMult(A,x,y); 1842 MatDestroy(&A); 1843 VecDestroy(&y); 1844 VecDestroy(&x); 1845 .ve 1846 1847 `MATSHELL` handles `MatShift()`, `MatDiagonalSet()`, `MatDiagonalScale()`, `MatAXPY()`, `MatScale()`, `MatZeroRows()` and `MatZeroRowsColumns()` 1848 internally, so these operations cannot be overwritten unless `MatShellSetManageScalingShifts()` is called. 1849 1850 Developer Notes: 1851 For rectangular matrices do all the scalings and shifts make sense? 1852 1853 Regarding shifting and scaling. The general form is 1854 1855 diag(left)(vscale*A + diag(dshift) + vshift I)diag(right) 1856 1857 The order you apply the operations is important. For example if you have a dshift then 1858 apply a MatScale(s) you get s*vscale*A + s*diag(shift). But if you first scale and then shift 1859 you get s*vscale*A + diag(shift) 1860 1861 A is the user provided function. 1862 1863 `KSP`/`PC` uses changes in the `Mat`'s "state" to decide if preconditioners need to be rebuilt `PCSetUp()` only calls the setup() for 1864 for the `PC` implementation if the `Mat` state has increased from the previous call. Thus to get changes in a `MATSHELL` to trigger 1865 an update in the preconditioner you must call `MatAssemblyBegin()` and `MatAssemblyEnd()` or `PetscObjectStateIncrease`((`PetscObject`)mat); 1866 each time the `MATSHELL` matrix has changed. 1867 1868 Matrix-matrix product operations can be specified using `MatShellSetMatProductOperation()` 1869 1870 Calling `MatAssemblyBegin()`/`MatAssemblyEnd()` on a `MATSHELL` removes any previously supplied shift and scales that were provided 1871 with `MatDiagonalSet()`, `MatShift()`, `MatScale()`, or `MatDiagonalScale()`. 1872 1873 Fortran Notes: 1874 To use this from Fortran with a `ctx` you must write an interface definition for this 1875 function and for `MatShellGetContext()` that tells Fortran the Fortran derived data type you are passing 1876 in as the `ctx` argument. 1877 1878 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatShellSetOperation()`, `MatHasOperation()`, `MatShellGetContext()`, `MatShellSetContext()`, `MatShellSetManageScalingShifts()`, `MatShellSetMatProductOperation()` 1879 @*/ 1880 PetscErrorCode MatCreateShell(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt M, PetscInt N, void *ctx, Mat *A) 1881 { 1882 PetscFunctionBegin; 1883 PetscCall(MatCreate(comm, A)); 1884 PetscCall(MatSetSizes(*A, m, n, M, N)); 1885 PetscCall(MatSetType(*A, MATSHELL)); 1886 PetscCall(MatShellSetContext(*A, ctx)); 1887 PetscCall(MatSetUp(*A)); 1888 PetscFunctionReturn(PETSC_SUCCESS); 1889 } 1890 1891 /*@ 1892 MatShellSetContext - sets the context for a `MATSHELL` shell matrix 1893 1894 Logically Collective 1895 1896 Input Parameters: 1897 + mat - the `MATSHELL` shell matrix 1898 - ctx - the context 1899 1900 Level: advanced 1901 1902 Note: 1903 This provides an easy way, along with `MatCreateShell()` and `MatShellSetOperation()` to provide a custom matrix format 1904 specifically for your application. 1905 1906 Fortran Notes: 1907 You must write a Fortran interface definition for this 1908 function that tells Fortran the Fortran derived data type that you are passing in as the `ctx` argument. 1909 1910 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellGetOperation()` 1911 @*/ 1912 PetscErrorCode MatShellSetContext(Mat mat, void *ctx) 1913 { 1914 PetscFunctionBegin; 1915 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1916 PetscTryMethod(mat, "MatShellSetContext_C", (Mat, void *), (mat, ctx)); 1917 PetscFunctionReturn(PETSC_SUCCESS); 1918 } 1919 1920 /*@C 1921 MatShellSetContextDestroy - sets the destroy function for a `MATSHELL` shell matrix context 1922 1923 Logically Collective 1924 1925 Input Parameters: 1926 + mat - the shell matrix 1927 - f - the context destroy function, see `PetscCtxDestroyFn` for calling sequence 1928 1929 Level: advanced 1930 1931 Note: 1932 If the `MatShell` is never duplicated, the behavior of this function is equivalent 1933 to `MatShellSetOperation`(`Mat`,`MATOP_DESTROY`,f). However, `MatShellSetContextDestroy()` 1934 ensures proper reference counting for the user provided context data in the case that 1935 the `MATSHELL` is duplicated. 1936 1937 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellSetContext()`, 1938 `PetscCtxDestroyFn` 1939 @*/ 1940 PetscErrorCode MatShellSetContextDestroy(Mat mat, PetscCtxDestroyFn *f) 1941 { 1942 PetscFunctionBegin; 1943 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 1944 PetscTryMethod(mat, "MatShellSetContextDestroy_C", (Mat, PetscCtxDestroyFn *), (mat, f)); 1945 PetscFunctionReturn(PETSC_SUCCESS); 1946 } 1947 1948 /*@C 1949 MatShellSetVecType - Sets the `VecType` of `Vec` returned by `MatCreateVecs()` 1950 1951 Logically Collective 1952 1953 Input Parameters: 1954 + mat - the `MATSHELL` shell matrix 1955 - vtype - type to use for creating vectors 1956 1957 Level: advanced 1958 1959 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateVecs()` 1960 @*/ 1961 PetscErrorCode MatShellSetVecType(Mat mat, VecType vtype) 1962 { 1963 PetscFunctionBegin; 1964 PetscTryMethod(mat, "MatShellSetVecType_C", (Mat, VecType), (mat, vtype)); 1965 PetscFunctionReturn(PETSC_SUCCESS); 1966 } 1967 1968 /*@ 1969 MatShellSetManageScalingShifts - Allows the user to control the scaling and shift operations of the `MATSHELL`. Must be called immediately 1970 after `MatCreateShell()` 1971 1972 Logically Collective 1973 1974 Input Parameter: 1975 . A - the `MATSHELL` shell matrix 1976 1977 Level: advanced 1978 1979 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellGetOperation()`, `MatShellSetContext()`, `MatShellSetOperation()` 1980 @*/ 1981 PetscErrorCode MatShellSetManageScalingShifts(Mat A) 1982 { 1983 PetscFunctionBegin; 1984 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 1985 PetscTryMethod(A, "MatShellSetManageScalingShifts_C", (Mat), (A)); 1986 PetscFunctionReturn(PETSC_SUCCESS); 1987 } 1988 1989 /*@C 1990 MatShellGetScalingShifts - Gets members of a `MATSHELL` used internally for scaling and 1991 shifting the `Mat` or calling `MatAXPY()`, `MatZeroRows()`, or `MatZeroRowsColumns()` with it 1992 1993 Logically Collective 1994 1995 Input Parameter: 1996 . A - the `MATSHELL` shell matrix 1997 1998 Output Parameters: 1999 + vshift - `PetscScalar` pointer (can be `NULL`), see `MatShift()`, or `MAT_SHELL_NOT_ALLOWED` if the internal shift should be 0 2000 . vscale - `PetscScalar` pointer (can be `NULL`), see `MatScale()`, or `MAT_SHELL_NOT_ALLOWED` if the internal scaling should be 1 2001 . dshift - `Vec` pointer (can be `NULL`), see `MatDiagonalSet()`, or `MAT_SHELL_NOT_ALLOWED` if the internal shift should be `NULL` 2002 . left - `Vec` pointer (can be `NULL`), see `MatDiagonalScale()`, or `MAT_SHELL_NOT_ALLOWED` if the internal scaling should be `NULL` 2003 . right - `Vec` pointer (can be `NULL`), see `MatDiagonalScale()`, or `MAT_SHELL_NOT_ALLOWED` if the internal scaling should be `NULL` 2004 . axpy - `Mat` pointer (can be `NULL`), or `MAT_SHELL_NOT_ALLOWED` if `MatAXPY()` should have not been called on `A` 2005 . zrows - `Vec` pointer (can be `NULL`), or `MAT_SHELL_NOT_ALLOWED` if `MatZeroRows()` should have not been called on `A` 2006 - zcols - `Vec` pointer (can be `NULL`), or `MAT_SHELL_NOT_ALLOWED` if `MatZeroRowsColumns()` should have not been called on `A` 2007 2008 Level: advanced 2009 2010 Developer Notes: 2011 This is mostly useful to check for corner-cases in `MatType` deriving from 2012 `MATSHELL`, e.g, `MATCOMPOSITE` or `MATTRANSPOSEVIRTUAL`, since scaling and 2013 shifts often require extra work which is not always implemented. 2014 2015 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShift()`, `MatScale()`, `MatDiagonalSet()`, `MatDiagonalScale()`, `MatAXPY()`, `MatZeroRows()`, `MatZeroRowsColumns()`, `MatShellSetManageScalingShifts()` 2016 @*/ 2017 PetscErrorCode MatShellGetScalingShifts(Mat A, PetscScalar *vshift, PetscScalar *vscale, Vec *dshift, Vec *left, Vec *right, Mat *axpy, IS *zrows, IS *zcols) 2018 { 2019 PetscFunctionBegin; 2020 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 2021 PetscTryMethod(A, "MatShellGetScalingShifts_C", (Mat, PetscScalar *, PetscScalar *, Vec *, Vec *, Vec *, Mat *, IS *, IS *), (A, vshift, vscale, dshift, left, right, axpy, zrows, zcols)); 2022 PetscFunctionReturn(PETSC_SUCCESS); 2023 } 2024 2025 /*@C 2026 MatShellTestMult - Compares the multiply routine provided to the `MATSHELL` with differencing on a given function. 2027 2028 Logically Collective; No Fortran Support 2029 2030 Input Parameters: 2031 + mat - the `MATSHELL` shell matrix 2032 . f - the function 2033 . base - differences are computed around this vector, see `MatMFFDSetBase()`, for Jacobians this is the point at which the Jacobian is being evaluated 2034 - ctx - an optional context for the function 2035 2036 Output Parameter: 2037 . flg - `PETSC_TRUE` if the multiply is likely correct 2038 2039 Options Database Key: 2040 . -mat_shell_test_mult_view - print if any differences are detected between the products and print the difference 2041 2042 Level: advanced 2043 2044 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellGetOperation()`, `MatShellTestMultTranspose()` 2045 @*/ 2046 PetscErrorCode MatShellTestMult(Mat mat, PetscErrorCode (*f)(void *, Vec, Vec), Vec base, void *ctx, PetscBool *flg) 2047 { 2048 PetscInt m, n; 2049 Mat mf, Dmf, Dmat, Ddiff; 2050 PetscReal Diffnorm, Dmfnorm; 2051 PetscBool v = PETSC_FALSE, flag = PETSC_TRUE; 2052 2053 PetscFunctionBegin; 2054 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 2055 PetscCall(PetscOptionsHasName(NULL, ((PetscObject)mat)->prefix, "-mat_shell_test_mult_view", &v)); 2056 PetscCall(MatGetLocalSize(mat, &m, &n)); 2057 PetscCall(MatCreateMFFD(PetscObjectComm((PetscObject)mat), m, n, PETSC_DECIDE, PETSC_DECIDE, &mf)); 2058 PetscCall(MatMFFDSetFunction(mf, f, ctx)); 2059 PetscCall(MatMFFDSetBase(mf, base, NULL)); 2060 2061 PetscCall(MatComputeOperator(mf, MATAIJ, &Dmf)); 2062 PetscCall(MatComputeOperator(mat, MATAIJ, &Dmat)); 2063 2064 PetscCall(MatDuplicate(Dmat, MAT_COPY_VALUES, &Ddiff)); 2065 PetscCall(MatAXPY(Ddiff, -1.0, Dmf, DIFFERENT_NONZERO_PATTERN)); 2066 PetscCall(MatNorm(Ddiff, NORM_FROBENIUS, &Diffnorm)); 2067 PetscCall(MatNorm(Dmf, NORM_FROBENIUS, &Dmfnorm)); 2068 if (Diffnorm / Dmfnorm > 10 * PETSC_SQRT_MACHINE_EPSILON) { 2069 flag = PETSC_FALSE; 2070 if (v) { 2071 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)mat), "MATSHELL and matrix-free multiple appear to produce different results.\n Norm Ratio %g Difference results followed by finite difference one\n", (double)(Diffnorm / Dmfnorm))); 2072 PetscCall(MatViewFromOptions(Ddiff, (PetscObject)mat, "-mat_shell_test_mult_view")); 2073 PetscCall(MatViewFromOptions(Dmf, (PetscObject)mat, "-mat_shell_test_mult_view")); 2074 PetscCall(MatViewFromOptions(Dmat, (PetscObject)mat, "-mat_shell_test_mult_view")); 2075 } 2076 } else if (v) { 2077 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)mat), "MATSHELL and matrix-free multiple appear to produce the same results\n")); 2078 } 2079 if (flg) *flg = flag; 2080 PetscCall(MatDestroy(&Ddiff)); 2081 PetscCall(MatDestroy(&mf)); 2082 PetscCall(MatDestroy(&Dmf)); 2083 PetscCall(MatDestroy(&Dmat)); 2084 PetscFunctionReturn(PETSC_SUCCESS); 2085 } 2086 2087 /*@C 2088 MatShellTestMultTranspose - Compares the multiply transpose routine provided to the `MATSHELL` with differencing on a given function. 2089 2090 Logically Collective; No Fortran Support 2091 2092 Input Parameters: 2093 + mat - the `MATSHELL` shell matrix 2094 . f - the function 2095 . base - differences are computed around this vector, see `MatMFFDSetBase()`, for Jacobians this is the point at which the Jacobian is being evaluated 2096 - ctx - an optional context for the function 2097 2098 Output Parameter: 2099 . flg - `PETSC_TRUE` if the multiply is likely correct 2100 2101 Options Database Key: 2102 . -mat_shell_test_mult_view - print if any differences are detected between the products and print the difference 2103 2104 Level: advanced 2105 2106 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellGetOperation()`, `MatShellTestMult()` 2107 @*/ 2108 PetscErrorCode MatShellTestMultTranspose(Mat mat, PetscErrorCode (*f)(void *, Vec, Vec), Vec base, void *ctx, PetscBool *flg) 2109 { 2110 Vec x, y, z; 2111 PetscInt m, n, M, N; 2112 Mat mf, Dmf, Dmat, Ddiff; 2113 PetscReal Diffnorm, Dmfnorm; 2114 PetscBool v = PETSC_FALSE, flag = PETSC_TRUE; 2115 2116 PetscFunctionBegin; 2117 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 2118 PetscCall(PetscOptionsHasName(NULL, ((PetscObject)mat)->prefix, "-mat_shell_test_mult_transpose_view", &v)); 2119 PetscCall(MatCreateVecs(mat, &x, &y)); 2120 PetscCall(VecDuplicate(y, &z)); 2121 PetscCall(MatGetLocalSize(mat, &m, &n)); 2122 PetscCall(MatGetSize(mat, &M, &N)); 2123 PetscCall(MatCreateMFFD(PetscObjectComm((PetscObject)mat), m, n, M, N, &mf)); 2124 PetscCall(MatMFFDSetFunction(mf, f, ctx)); 2125 PetscCall(MatMFFDSetBase(mf, base, NULL)); 2126 PetscCall(MatComputeOperator(mf, MATAIJ, &Dmf)); 2127 PetscCall(MatTranspose(Dmf, MAT_INPLACE_MATRIX, &Dmf)); 2128 PetscCall(MatComputeOperatorTranspose(mat, MATAIJ, &Dmat)); 2129 2130 PetscCall(MatDuplicate(Dmat, MAT_COPY_VALUES, &Ddiff)); 2131 PetscCall(MatAXPY(Ddiff, -1.0, Dmf, DIFFERENT_NONZERO_PATTERN)); 2132 PetscCall(MatNorm(Ddiff, NORM_FROBENIUS, &Diffnorm)); 2133 PetscCall(MatNorm(Dmf, NORM_FROBENIUS, &Dmfnorm)); 2134 if (Diffnorm / Dmfnorm > 10 * PETSC_SQRT_MACHINE_EPSILON) { 2135 flag = PETSC_FALSE; 2136 if (v) { 2137 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)mat), "MATSHELL and matrix-free multiple appear to produce different results.\n Norm Ratio %g Difference results followed by finite difference one\n", (double)(Diffnorm / Dmfnorm))); 2138 PetscCall(MatViewFromOptions(Ddiff, (PetscObject)mat, "-mat_shell_test_mult_transpose_view")); 2139 PetscCall(MatViewFromOptions(Dmf, (PetscObject)mat, "-mat_shell_test_mult_transpose_view")); 2140 PetscCall(MatViewFromOptions(Dmat, (PetscObject)mat, "-mat_shell_test_mult_transpose_view")); 2141 } 2142 } else if (v) { 2143 PetscCall(PetscPrintf(PetscObjectComm((PetscObject)mat), "MATSHELL transpose and matrix-free multiple appear to produce the same results\n")); 2144 } 2145 if (flg) *flg = flag; 2146 PetscCall(MatDestroy(&mf)); 2147 PetscCall(MatDestroy(&Dmat)); 2148 PetscCall(MatDestroy(&Ddiff)); 2149 PetscCall(MatDestroy(&Dmf)); 2150 PetscCall(VecDestroy(&x)); 2151 PetscCall(VecDestroy(&y)); 2152 PetscCall(VecDestroy(&z)); 2153 PetscFunctionReturn(PETSC_SUCCESS); 2154 } 2155 2156 /*@C 2157 MatShellSetOperation - Allows user to set a matrix operation for a `MATSHELL` shell matrix. 2158 2159 Logically Collective 2160 2161 Input Parameters: 2162 + mat - the `MATSHELL` shell matrix 2163 . op - the name of the operation 2164 - g - the function that provides the operation. 2165 2166 Level: advanced 2167 2168 Example Usage: 2169 .vb 2170 extern PetscErrorCode usermult(Mat, Vec, Vec); 2171 2172 MatCreateShell(comm, m, n, M, N, ctx, &A); 2173 MatShellSetOperation(A, MATOP_MULT, (void(*)(void))usermult); 2174 .ve 2175 2176 Notes: 2177 See the file include/petscmat.h for a complete list of matrix 2178 operations, which all have the form MATOP_<OPERATION>, where 2179 <OPERATION> is the name (in all capital letters) of the 2180 user interface routine (e.g., `MatMult()` -> `MATOP_MULT`). 2181 2182 All user-provided functions (except for `MATOP_DESTROY`) should have the same calling 2183 sequence as the usual matrix interface routines, since they 2184 are intended to be accessed via the usual matrix interface 2185 routines, e.g., 2186 .vb 2187 MatMult(Mat, Vec, Vec) -> usermult(Mat, Vec, Vec) 2188 .ve 2189 2190 In particular each function MUST return an error code of 0 on success and 2191 nonzero on failure. 2192 2193 Within each user-defined routine, the user should call 2194 `MatShellGetContext()` to obtain the user-defined context that was 2195 set by `MatCreateShell()`. 2196 2197 Use `MatSetOperation()` to set an operation for any matrix type. For matrix product operations (i.e. `MatMatXXX()`, `MatTransposeMatXXX()` etc) 2198 use `MatShellSetMatProductOperation()` 2199 2200 Fortran Note: 2201 For `MatCreateVecs()` the user code should check if the input left or right matrix is -1 and in that case not 2202 generate a matrix. See src/mat/tests/ex120f.F 2203 2204 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellGetOperation()`, `MatShellSetContext()`, `MatSetOperation()`, `MatShellSetManageScalingShifts()`, `MatShellSetMatProductOperation()` 2205 @*/ 2206 PetscErrorCode MatShellSetOperation(Mat mat, MatOperation op, void (*g)(void)) 2207 { 2208 PetscFunctionBegin; 2209 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 2210 PetscTryMethod(mat, "MatShellSetOperation_C", (Mat, MatOperation, void (*)(void)), (mat, op, g)); 2211 PetscFunctionReturn(PETSC_SUCCESS); 2212 } 2213 2214 /*@C 2215 MatShellGetOperation - Gets a matrix function for a `MATSHELL` shell matrix. 2216 2217 Not Collective 2218 2219 Input Parameters: 2220 + mat - the `MATSHELL` shell matrix 2221 - op - the name of the operation 2222 2223 Output Parameter: 2224 . g - the function that provides the operation. 2225 2226 Level: advanced 2227 2228 Notes: 2229 See the file include/petscmat.h for a complete list of matrix 2230 operations, which all have the form MATOP_<OPERATION>, where 2231 <OPERATION> is the name (in all capital letters) of the 2232 user interface routine (e.g., `MatMult()` -> `MATOP_MULT`). 2233 2234 All user-provided functions have the same calling 2235 sequence as the usual matrix interface routines, since they 2236 are intended to be accessed via the usual matrix interface 2237 routines, e.g., 2238 .vb 2239 MatMult(Mat, Vec, Vec) -> usermult(Mat, Vec, Vec) 2240 .ve 2241 2242 Within each user-defined routine, the user should call 2243 `MatShellGetContext()` to obtain the user-defined context that was 2244 set by `MatCreateShell()`. 2245 2246 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MatCreateShell()`, `MatShellGetContext()`, `MatShellSetOperation()`, `MatShellSetContext()` 2247 @*/ 2248 PetscErrorCode MatShellGetOperation(Mat mat, MatOperation op, void (**g)(void)) 2249 { 2250 PetscFunctionBegin; 2251 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 2252 PetscUseMethod(mat, "MatShellGetOperation_C", (Mat, MatOperation, void (**)(void)), (mat, op, g)); 2253 PetscFunctionReturn(PETSC_SUCCESS); 2254 } 2255 2256 /*@ 2257 MatIsShell - Inquires if a matrix is derived from `MATSHELL` 2258 2259 Input Parameter: 2260 . mat - the matrix 2261 2262 Output Parameter: 2263 . flg - the Boolean value 2264 2265 Level: developer 2266 2267 .seealso: [](ch_matrices), `Mat`, `MATSHELL`, `MATMFFD`, `MatCreateShell()`, `MATTRANSPOSEVIRTUAL`, `MATSCHURCOMPLEMENT` 2268 @*/ 2269 PetscErrorCode MatIsShell(Mat mat, PetscBool *flg) 2270 { 2271 PetscFunctionBegin; 2272 PetscValidHeaderSpecific(mat, MAT_CLASSID, 1); 2273 PetscAssertPointer(flg, 2); 2274 *flg = (PetscBool)(mat->ops->destroy == MatDestroy_Shell); 2275 PetscFunctionReturn(PETSC_SUCCESS); 2276 } 2277