1 // Copyright (c) 2017-2022, Lawrence Livermore National Security, LLC and other CEED contributors. 2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. 3 // 4 // SPDX-License-Identifier: BSD-2-Clause 5 // 6 // This file is part of CEED: http://github.com/ceed 7 8 /// @file 9 /// Miscellaneous utility functions 10 11 #include <ceed.h> 12 #include <petscdm.h> 13 #include <petscts.h> 14 15 #include "../navierstokes.h" 16 #include "../qfunctions/mass.h" 17 18 PetscErrorCode ICs_FixMultiplicity(DM dm, CeedData ceed_data, User user, Vec Q_loc, Vec Q, CeedScalar time) { 19 PetscFunctionBeginUser; 20 21 // --------------------------------------------------------------------------- 22 // Update time for evaluation 23 // --------------------------------------------------------------------------- 24 if (user->phys->ics_time_label) CeedOperatorSetContextDouble(ceed_data->op_ics_ctx->op, user->phys->ics_time_label, &time); 25 26 // --------------------------------------------------------------------------- 27 // ICs 28 // --------------------------------------------------------------------------- 29 // -- CEED Restriction 30 CeedVector q0_ceed; 31 CeedElemRestrictionCreateVector(ceed_data->elem_restr_q, &q0_ceed, NULL); 32 33 // -- Place PETSc vector in CEED vector 34 PetscCall(ApplyCeedOperatorLocalToGlobal(NULL, Q, ceed_data->op_ics_ctx)); 35 36 // --------------------------------------------------------------------------- 37 // Fix multiplicity for output of ICs 38 // --------------------------------------------------------------------------- 39 // -- CEED Restriction 40 CeedVector mult_vec; 41 CeedElemRestrictionCreateVector(ceed_data->elem_restr_q, &mult_vec, NULL); 42 43 // -- Place PETSc vector in CEED vector 44 PetscMemType m_mem_type; 45 Vec multiplicity_loc; 46 PetscCall(DMGetLocalVector(dm, &multiplicity_loc)); 47 PetscCall(VecP2C(multiplicity_loc, &m_mem_type, mult_vec)); 48 49 // -- Get multiplicity 50 CeedElemRestrictionGetMultiplicity(ceed_data->elem_restr_q, mult_vec); 51 52 // -- Restore vectors 53 PetscCall(VecC2P(mult_vec, m_mem_type, multiplicity_loc)); 54 55 // -- Local-to-Global 56 Vec multiplicity; 57 PetscCall(DMGetGlobalVector(dm, &multiplicity)); 58 PetscCall(VecZeroEntries(multiplicity)); 59 PetscCall(DMLocalToGlobal(dm, multiplicity_loc, ADD_VALUES, multiplicity)); 60 61 // -- Fix multiplicity 62 PetscCall(VecPointwiseDivide(Q, Q, multiplicity)); 63 PetscCall(VecPointwiseDivide(Q_loc, Q_loc, multiplicity_loc)); 64 65 // -- Restore vectors 66 PetscCall(DMRestoreLocalVector(dm, &multiplicity_loc)); 67 PetscCall(DMRestoreGlobalVector(dm, &multiplicity)); 68 69 // Cleanup 70 CeedVectorDestroy(&mult_vec); 71 CeedVectorDestroy(&q0_ceed); 72 73 PetscFunctionReturn(0); 74 } 75 76 PetscErrorCode DMPlexInsertBoundaryValues_NS(DM dm, PetscBool insert_essential, Vec Q_loc, PetscReal time, Vec face_geom_FVM, Vec cell_geom_FVM, 77 Vec grad_FVM) { 78 Vec Qbc, boundary_mask; 79 PetscFunctionBegin; 80 81 // Mask (zero) Strong BC entries 82 PetscCall(DMGetNamedLocalVector(dm, "boundary mask", &boundary_mask)); 83 PetscCall(VecPointwiseMult(Q_loc, Q_loc, boundary_mask)); 84 PetscCall(DMRestoreNamedLocalVector(dm, "boundary mask", &boundary_mask)); 85 86 PetscCall(DMGetNamedLocalVector(dm, "Qbc", &Qbc)); 87 PetscCall(VecAXPY(Q_loc, 1., Qbc)); 88 PetscCall(DMRestoreNamedLocalVector(dm, "Qbc", &Qbc)); 89 90 PetscFunctionReturn(0); 91 } 92 93 // @brief Load vector from binary file, possibly with embedded solution time and step number 94 PetscErrorCode LoadFluidsBinaryVec(MPI_Comm comm, PetscViewer viewer, Vec Q, PetscReal *time, PetscInt *step_number) { 95 PetscInt token, file_step_number; 96 PetscReal file_time; 97 PetscFunctionBeginUser; 98 99 // Attempt 100 PetscCall(PetscViewerBinaryRead(viewer, &token, 1, NULL, PETSC_INT)); 101 if (token == FLUIDS_FILE_TOKEN) { // New style format; we're reading a file with step number and time in the header 102 PetscCall(PetscViewerBinaryRead(viewer, &file_step_number, 1, NULL, PETSC_INT)); 103 PetscCall(PetscViewerBinaryRead(viewer, &file_time, 1, NULL, PETSC_REAL)); 104 if (time) *time = file_time; 105 if (step_number) *step_number = file_step_number; 106 } else if (token == VEC_FILE_CLASSID) { // Legacy format of just the vector, encoded as [VEC_FILE_CLASSID, length, ] 107 PetscInt length, N; 108 PetscCall(PetscViewerBinaryRead(viewer, &length, 1, NULL, PETSC_INT)); 109 PetscCall(VecGetSize(Q, &N)); 110 PetscCheck(length == N, comm, PETSC_ERR_ARG_INCOMP, "File Vec has length %" PetscInt_FMT " but DM has global Vec size %" PetscInt_FMT, length, N); 111 PetscCall(PetscViewerBinarySetSkipHeader(viewer, PETSC_TRUE)); 112 } else SETERRQ(comm, PETSC_ERR_FILE_UNEXPECTED, "Not a fluids header token or a PETSc Vec in file"); 113 114 // Load Q from existent solution 115 PetscCall(VecLoad(Q, viewer)); 116 117 PetscFunctionReturn(0); 118 } 119 120 // Compare reference solution values with current test run for CI 121 PetscErrorCode RegressionTests_NS(AppCtx app_ctx, Vec Q) { 122 Vec Qref; 123 PetscViewer viewer; 124 PetscReal error, Qrefnorm; 125 MPI_Comm comm = PetscObjectComm((PetscObject)Q); 126 PetscFunctionBegin; 127 128 // Read reference file 129 PetscCall(VecDuplicate(Q, &Qref)); 130 PetscCall(PetscViewerBinaryOpen(comm, app_ctx->test_file_path, FILE_MODE_READ, &viewer)); 131 PetscCall(LoadFluidsBinaryVec(comm, viewer, Qref, NULL, NULL)); 132 133 // Compute error with respect to reference solution 134 PetscCall(VecAXPY(Q, -1.0, Qref)); 135 PetscCall(VecNorm(Qref, NORM_MAX, &Qrefnorm)); 136 PetscCall(VecScale(Q, 1. / Qrefnorm)); 137 PetscCall(VecNorm(Q, NORM_MAX, &error)); 138 139 // Check error 140 if (error > app_ctx->test_tol) { 141 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Test failed with error norm %g\n", (double)error)); 142 } 143 144 // Cleanup 145 PetscCall(PetscViewerDestroy(&viewer)); 146 PetscCall(VecDestroy(&Qref)); 147 148 PetscFunctionReturn(0); 149 } 150 151 // Get error for problems with exact solutions 152 PetscErrorCode GetError_NS(CeedData ceed_data, DM dm, User user, Vec Q, PetscScalar final_time) { 153 PetscInt loc_nodes; 154 Vec Q_exact, Q_exact_loc; 155 PetscReal rel_error, norm_error, norm_exact; 156 PetscFunctionBegin; 157 158 // Get exact solution at final time 159 PetscCall(DMCreateGlobalVector(dm, &Q_exact)); 160 PetscCall(DMGetLocalVector(dm, &Q_exact_loc)); 161 PetscCall(VecGetSize(Q_exact_loc, &loc_nodes)); 162 PetscCall(ICs_FixMultiplicity(dm, ceed_data, user, Q_exact_loc, Q_exact, final_time)); 163 164 // Get |exact solution - obtained solution| 165 PetscCall(VecNorm(Q_exact, NORM_1, &norm_exact)); 166 PetscCall(VecAXPY(Q, -1.0, Q_exact)); 167 PetscCall(VecNorm(Q, NORM_1, &norm_error)); 168 169 // Compute relative error 170 rel_error = norm_error / norm_exact; 171 172 // Output relative error 173 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Relative Error: %g\n", (double)rel_error)); 174 // Cleanup 175 PetscCall(DMRestoreLocalVector(dm, &Q_exact_loc)); 176 PetscCall(VecDestroy(&Q_exact)); 177 178 PetscFunctionReturn(0); 179 } 180 181 // Post-processing 182 PetscErrorCode PostProcess_NS(TS ts, CeedData ceed_data, DM dm, ProblemData *problem, User user, Vec Q, PetscScalar final_time) { 183 PetscInt steps; 184 TSConvergedReason reason; 185 PetscFunctionBegin; 186 187 // Print relative error 188 if (problem->non_zero_time && user->app_ctx->test_type == TESTTYPE_NONE) { 189 PetscCall(GetError_NS(ceed_data, dm, user, Q, final_time)); 190 } 191 192 // Print final time and number of steps 193 PetscCall(TSGetStepNumber(ts, &steps)); 194 PetscCall(TSGetConvergedReason(ts, &reason)); 195 if (user->app_ctx->test_type == TESTTYPE_NONE) { 196 PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Time integrator %s on time step %" PetscInt_FMT " with final time %g\n", TSConvergedReasons[reason], 197 steps, (double)final_time)); 198 } 199 200 // Output numerical values from command line 201 PetscCall(VecViewFromOptions(Q, NULL, "-vec_view")); 202 203 // Compare reference solution values with current test run for CI 204 if (user->app_ctx->test_type == TESTTYPE_SOLVER) { 205 PetscCall(RegressionTests_NS(user->app_ctx, Q)); 206 } 207 208 PetscFunctionReturn(0); 209 } 210 211 const PetscInt FLUIDS_FILE_TOKEN = 0xceedf00; 212 213 // Gather initial Q values in case of continuation of simulation 214 PetscErrorCode SetupICsFromBinary(MPI_Comm comm, AppCtx app_ctx, Vec Q) { 215 PetscViewer viewer; 216 217 PetscFunctionBegin; 218 219 PetscCall(PetscViewerBinaryOpen(comm, app_ctx->cont_file, FILE_MODE_READ, &viewer)); 220 PetscCall(LoadFluidsBinaryVec(comm, viewer, Q, &app_ctx->cont_time, &app_ctx->cont_steps)); 221 PetscCall(PetscViewerDestroy(&viewer)); 222 223 PetscFunctionReturn(0); 224 } 225 226 // Record boundary values from initial condition 227 PetscErrorCode SetBCsFromICs_NS(DM dm, Vec Q, Vec Q_loc) { 228 Vec Qbc, boundary_mask; 229 PetscFunctionBegin; 230 231 PetscCall(DMGetNamedLocalVector(dm, "Qbc", &Qbc)); 232 PetscCall(VecCopy(Q_loc, Qbc)); 233 PetscCall(VecZeroEntries(Q_loc)); 234 PetscCall(DMGlobalToLocal(dm, Q, INSERT_VALUES, Q_loc)); 235 PetscCall(VecAXPY(Qbc, -1., Q_loc)); 236 PetscCall(DMRestoreNamedLocalVector(dm, "Qbc", &Qbc)); 237 PetscCall(PetscObjectComposeFunction((PetscObject)dm, "DMPlexInsertBoundaryValues_C", DMPlexInsertBoundaryValues_NS)); 238 239 PetscCall(DMGetNamedLocalVector(dm, "boundary mask", &boundary_mask)); 240 PetscCall(DMGetGlobalVector(dm, &Q)); 241 PetscCall(VecZeroEntries(boundary_mask)); 242 PetscCall(VecSet(Q, 1.0)); 243 PetscCall(DMGlobalToLocal(dm, Q, INSERT_VALUES, boundary_mask)); 244 PetscCall(DMRestoreNamedLocalVector(dm, "boundary mask", &boundary_mask)); 245 246 PetscFunctionReturn(0); 247 } 248 249 // Free a plain data context that was allocated using PETSc; returning libCEED error codes 250 int FreeContextPetsc(void *data) { 251 if (PetscFree(data)) return CeedError(NULL, CEED_ERROR_ACCESS, "PetscFree failed"); 252 return CEED_ERROR_SUCCESS; 253 } 254 255 // Return mass qfunction specification for number of components N 256 PetscErrorCode CreateMassQFunction(Ceed ceed, CeedInt N, CeedInt q_data_size, CeedQFunction *qf) { 257 PetscFunctionBeginUser; 258 259 switch (N) { 260 case 1: 261 CeedQFunctionCreateInterior(ceed, 1, Mass_1, Mass_1_loc, qf); 262 break; 263 case 5: 264 CeedQFunctionCreateInterior(ceed, 1, Mass_5, Mass_5_loc, qf); 265 break; 266 case 7: 267 CeedQFunctionCreateInterior(ceed, 1, Mass_7, Mass_7_loc, qf); 268 break; 269 case 9: 270 CeedQFunctionCreateInterior(ceed, 1, Mass_9, Mass_9_loc, qf); 271 break; 272 case 22: 273 CeedQFunctionCreateInterior(ceed, 1, Mass_22, Mass_22_loc, qf); 274 break; 275 default: 276 SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_SUP, "Could not find mass qfunction of size %d", N); 277 } 278 279 CeedQFunctionAddInput(*qf, "u", N, CEED_EVAL_INTERP); 280 CeedQFunctionAddInput(*qf, "qdata", q_data_size, CEED_EVAL_NONE); 281 CeedQFunctionAddOutput(*qf, "v", N, CEED_EVAL_INTERP); 282 PetscFunctionReturn(0); 283 } 284 285 /* @brief L^2 Projection of a source FEM function to a target FEM space 286 * 287 * To solve system using a lumped mass matrix, pass a KSP object with ksp_type=preonly, pc_type=jacobi, pc_jacobi_type=rowsum. 288 * 289 * @param[in] source_vec Global Vec of the source FEM function. NULL indicates using rhs_matop_ctx->X_loc 290 * @param[out] target_vec Global Vec of the target (result) FEM function. NULL indicates using rhs_matop_ctx->Y_loc 291 * @param[in] rhs_matop_ctx MatopApplyContext for performing the RHS evaluation 292 * @param[in] ksp KSP for solving the consistent projection problem 293 */ 294 PetscErrorCode ComputeL2Projection(Vec source_vec, Vec target_vec, OperatorApplyContext rhs_matop_ctx, KSP ksp) { 295 PetscFunctionBeginUser; 296 297 PetscCall(ApplyCeedOperatorGlobalToGlobal(source_vec, target_vec, rhs_matop_ctx)); 298 PetscCall(KSPSolve(ksp, target_vec, target_vec)); 299 300 PetscFunctionReturn(0); 301 } 302 303 PetscErrorCode NodalProjectionDataDestroy(NodalProjectionData context) { 304 PetscFunctionBeginUser; 305 if (context == NULL) PetscFunctionReturn(0); 306 307 PetscCall(DMDestroy(&context->dm)); 308 PetscCall(KSPDestroy(&context->ksp)); 309 310 PetscCall(OperatorApplyContextDestroy(context->l2_rhs_ctx)); 311 312 PetscCall(PetscFree(context)); 313 314 PetscFunctionReturn(0); 315 } 316 317 /* 318 * @brief Open a PHASTA *.dat file, grabbing dimensions and file pointer 319 * 320 * This function opens the file specified by `path` using `PetscFOpen` and passes the file pointer in `fp`. 321 * It is not closed in this function, thus `fp` must be closed sometime after this function has been called (using `PetscFClose` for example). 322 * 323 * Assumes that the first line of the file has the number of rows and columns as the only two entries, separated by a single space. 324 * 325 * @param[in] comm MPI_Comm for the program 326 * @param[in] path Path to the file 327 * @param[in] char_array_len Length of the character array that should contain each line 328 * @param[out] dims Dimensions of the file, taken from the first line of the file 329 * @param[out] fp File pointer to the opened file 330 */ 331 PetscErrorCode PHASTADatFileOpen(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], const PetscInt char_array_len, PetscInt dims[2], 332 FILE **fp) { 333 PetscInt ndims; 334 char line[char_array_len]; 335 char **array; 336 337 PetscFunctionBeginUser; 338 PetscCall(PetscFOpen(comm, path, "r", fp)); 339 PetscCall(PetscSynchronizedFGets(comm, *fp, char_array_len, line)); 340 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 341 PetscCheck(ndims == 2, comm, PETSC_ERR_FILE_UNEXPECTED, "Found %" PetscInt_FMT " dimensions instead of 2 on the first line of %s", ndims, path); 342 343 for (PetscInt i = 0; i < ndims; i++) dims[i] = atoi(array[i]); 344 PetscCall(PetscStrToArrayDestroy(ndims, array)); 345 346 PetscFunctionReturn(0); 347 } 348 349 /* 350 * @brief Get the number of rows for the PHASTA file at path. 351 * 352 * Assumes that the first line of the file has the number of rows and columns as the only two entries, separated by a single space. 353 * 354 * @param[in] comm MPI_Comm for the program 355 * @param[in] path Path to the file 356 * @param[out] nrows Number of rows 357 */ 358 PetscErrorCode PHASTADatFileGetNRows(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], PetscInt *nrows) { 359 const PetscInt char_array_len = 512; 360 PetscInt dims[2]; 361 FILE *fp; 362 363 PetscFunctionBeginUser; 364 PetscCall(PHASTADatFileOpen(comm, path, char_array_len, dims, &fp)); 365 *nrows = dims[0]; 366 PetscCall(PetscFClose(comm, fp)); 367 368 PetscFunctionReturn(0); 369 } 370 371 PetscErrorCode PHASTADatFileReadToArrayReal(MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], PetscReal array[]) { 372 PetscInt ndims, dims[2]; 373 FILE *fp; 374 const PetscInt char_array_len = 512; 375 char line[char_array_len]; 376 char **row_array; 377 PetscFunctionBeginUser; 378 379 PetscCall(PHASTADatFileOpen(comm, path, char_array_len, dims, &fp)); 380 381 for (PetscInt i = 0; i < dims[0]; i++) { 382 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 383 PetscCall(PetscStrToArray(line, ' ', &ndims, &row_array)); 384 PetscCheck(ndims == dims[1], comm, PETSC_ERR_FILE_UNEXPECTED, 385 "Line %" PetscInt_FMT " of %s does not contain enough columns (%" PetscInt_FMT " instead of %" PetscInt_FMT ")", i, path, ndims, 386 dims[1]); 387 388 for (PetscInt j = 0; j < dims[1]; j++) { 389 array[i * dims[1] + j] = (PetscReal)atof(row_array[j]); 390 } 391 } 392 393 PetscCall(PetscFClose(comm, fp)); 394 395 PetscFunctionReturn(0); 396 } 397