1 // Copyright (c) 2017-2024, 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 #include "../qfunctions/sgs_dd_model.h" 9 10 #include <petscdmplex.h> 11 12 #include <navierstokes.h> 13 #include <sgs_model_torch.h> 14 15 typedef struct { 16 CeedElemRestriction elem_restr_grid_aniso, elem_restr_sgs; 17 CeedVector grid_aniso_ceed; 18 CeedQFunctionContext sgsdd_qfctx, ifunction_qfctx; 19 SGSModelDDImplementation sgs_dd_model_implementation; 20 } *SgsDDSetupData; 21 22 PetscErrorCode SgsDDSetupDataDestroy(SgsDDSetupData sgs_dd_setup_data) { 23 Ceed ceed; 24 25 PetscFunctionBeginUser; 26 PetscCall(CeedElemRestrictionGetCeed(sgs_dd_setup_data->elem_restr_sgs, &ceed)); 27 28 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_grid_aniso)); 29 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_sgs)); 30 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_setup_data->grid_aniso_ceed)); 31 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->sgsdd_qfctx)); 32 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->ifunction_qfctx)); 33 PetscCall(PetscFree(sgs_dd_setup_data)); 34 PetscFunctionReturn(PETSC_SUCCESS); 35 } 36 37 // @brief Create DM for storing subgrid stress at nodes 38 static PetscErrorCode SgsDDCreateDM(DM dm_source, DM *dm_sgs, PetscInt degree, PetscInt q_extra, PetscInt *num_components) { 39 PetscSection section; 40 41 PetscFunctionBeginUser; 42 *num_components = 6; 43 44 PetscCall(DMClone(dm_source, dm_sgs)); 45 PetscCall(PetscObjectSetName((PetscObject)*dm_sgs, "Subgrid Stress Projection")); 46 47 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, num_components, *dm_sgs)); 48 49 PetscCall(DMGetLocalSection(*dm_sgs, §ion)); 50 PetscCall(PetscSectionSetFieldName(section, 0, "")); 51 PetscCall(PetscSectionSetComponentName(section, 0, 0, "KMSubgridStressXX")); 52 PetscCall(PetscSectionSetComponentName(section, 0, 1, "KMSubgridStressYY")); 53 PetscCall(PetscSectionSetComponentName(section, 0, 2, "KMSubgridStressZZ")); 54 PetscCall(PetscSectionSetComponentName(section, 0, 3, "KMSubgridStressYZ")); 55 PetscCall(PetscSectionSetComponentName(section, 0, 4, "KMSubgridStressXZ")); 56 PetscCall(PetscSectionSetComponentName(section, 0, 5, "KMSubgridStressXY")); 57 PetscFunctionReturn(PETSC_SUCCESS); 58 }; 59 60 // @brief Evaluate data-driven SGS using fused method 61 static PetscErrorCode SgsDDNodalStressEval_Fused(User user, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { 62 SgsDDData sgs_dd_data = user->sgs_dd_data; 63 PetscMemType q_mem_type; 64 65 PetscFunctionBeginUser; 66 PetscCall(VecPetscToCeed(Q_loc, &q_mem_type, user->q_ceed)); // q_ceed is an implicit input 67 68 PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, SGSNodal_loc, sgs_dd_data->op_nodal_evaluation_ctx)); 69 70 PetscCall(VecCeedToPetsc(user->q_ceed, q_mem_type, Q_loc)); 71 PetscFunctionReturn(PETSC_SUCCESS); 72 } 73 74 // @brief Create CeedOperator to calculate data-drive SGS at nodes using fused operator 75 static PetscErrorCode SgsDDSetupNodalEvaluation_Fused(Ceed ceed, User user, CeedData ceed_data, SgsDDSetupData sgs_dd_setup_data) { 76 SgsDDData sgs_dd_data = user->sgs_dd_data; 77 CeedQFunction qf_sgs_dd_nodal; 78 CeedOperator op_sgs_dd_nodal; 79 CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso; 80 PetscInt dim; 81 CeedVector inv_multiplicity; 82 CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs; 83 DMLabel domain_label = NULL; 84 PetscInt label_value = 0, height = 0, dm_field = 0; 85 86 PetscFunctionBeginUser; 87 PetscCall(DMGetDimension(user->dm, &dim)); 88 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x)); 89 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q)); 90 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); 91 92 { // Get velocity gradient information 93 CeedOperatorField op_field; 94 PetscCallCeed(ceed, CeedOperatorGetFieldByName(user->grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); 95 PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); 96 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); 97 } 98 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, &elem_restr_sgs)); 99 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); 100 101 PetscCall(GetInverseMultiplicity(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, PETSC_FALSE, &elem_restr_inv_multiplicity, 102 &inv_multiplicity)); 103 104 // -- Create operator for SGS DD model nodal evaluation 105 switch (user->phys->state_var) { 106 case STATEVAR_PRIMITIVE: 107 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Prim, ComputeSgsDDNodal_Prim_loc, &qf_sgs_dd_nodal)); 108 break; 109 case STATEVAR_CONSERVATIVE: 110 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Conserv, ComputeSgsDDNodal_Conserv_loc, &qf_sgs_dd_nodal)); 111 break; 112 case STATEVAR_ENTROPY: 113 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Entropy, ComputeSgsDDNodal_Entropy_loc, &qf_sgs_dd_nodal)); 114 break; 115 } 116 117 // Mesh/geometry order and solution basis order may differ, therefore must interpolate 118 CeedBasis basis_x_to_q; 119 PetscCallCeed(ceed, CeedBasisCreateProjection(ceed_data->basis_x, ceed_data->basis_q, &basis_x_to_q)); 120 121 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_nodal, sgs_dd_setup_data->sgsdd_qfctx)); 122 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "q", num_comp_q, CEED_EVAL_NONE)); 123 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "x", num_comp_x, CEED_EVAL_INTERP)); 124 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); 125 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 126 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "inverse multiplicity", 1, CEED_EVAL_NONE)); 127 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_nodal, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); 128 129 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_nodal, NULL, NULL, &op_sgs_dd_nodal)); 130 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "q", ceed_data->elem_restr_q, CEED_BASIS_NONE, user->q_ceed)); 131 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "x", ceed_data->elem_restr_x, basis_x_to_q, ceed_data->x_coord)); 132 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 133 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 134 sgs_dd_setup_data->grid_aniso_ceed)); 135 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 136 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 137 138 PetscCall(OperatorApplyContextCreate(user->grad_velo_proj->dm, sgs_dd_data->dm_sgs, ceed, op_sgs_dd_nodal, NULL, sgs_dd_data->sgs_nodal_ceed, NULL, 139 NULL, &sgs_dd_data->op_nodal_evaluation_ctx)); 140 141 sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; 142 sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Fused; 143 144 PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); 145 PetscCallCeed(ceed, CeedBasisDestroy(&basis_x_to_q)); 146 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); 147 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_nodal)); 148 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_nodal)); 149 PetscFunctionReturn(PETSC_SUCCESS); 150 } 151 152 // @brief Setup data-driven model inference using libCEED native implementation 153 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Ceed(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, 154 CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, 155 CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, 156 void **ctx) { 157 CeedQFunction qf_sgs_dd_inference; 158 CeedOperator op_sgs_dd_inference; 159 OperatorApplyContext *op_context = (OperatorApplyContext *)ctx; 160 161 PetscFunctionBeginUser; 162 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inference, ComputeSgsDDNodal_Sequential_Inference_loc, 163 &qf_sgs_dd_inference)); 164 165 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inference, sgs_dd_setup_data->sgsdd_qfctx)); 166 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); 167 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "inverse multiplicity", 1, CEED_EVAL_NONE)); 168 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inference, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); 169 170 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inference, NULL, NULL, &op_sgs_dd_inference)); 171 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 172 PetscCallCeed(ceed, 173 CeedOperatorSetField(op_sgs_dd_inference, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 174 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 175 176 PetscCall(OperatorApplyContextCreate(sgs_dd_data->dm_dd_inputs, sgs_dd_data->dm_dd_outputs, ceed, op_sgs_dd_inference, NULL, NULL, NULL, NULL, 177 op_context)); 178 sgs_dd_data->sgs_nodal_inference_ctx_destroy = (PetscErrorCode(*)(void *))OperatorApplyContextDestroy; 179 180 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inference)); 181 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inference)); 182 PetscFunctionReturn(PETSC_SUCCESS); 183 } 184 185 // @brief Perform data-driven model inference using libCEED native implementation 186 PetscErrorCode SgsDDNodalStressEval_Sequential_Ceed(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { 187 OperatorApplyContext op_context = *(OperatorApplyContext *)ctx; 188 189 PetscFunctionBeginUser; 190 PetscCall(PetscLogEventBegin(FLUIDS_SgsModelDDData, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 191 PetscCall(PetscLogEventBegin(FLUIDS_SgsModelDDInference, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 192 PetscCall(PetscLogGpuTimeBegin()); 193 PetscCall(ApplyCeedOperatorLocalToLocal(DD_Inputs_loc, DD_Outputs_loc, op_context)); 194 PetscCall(PetscLogGpuTimeEnd()); 195 PetscCall(PetscLogEventEnd(FLUIDS_SgsModelDDInference, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 196 PetscCall(PetscLogEventEnd(FLUIDS_SgsModelDDData, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 197 PetscFunctionReturn(PETSC_SUCCESS); 198 } 199 200 // @brief Setup data-driven model inference using libtorch 201 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Torch(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, 202 CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, 203 CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, 204 void **ctx) { 205 const char *ceed_resource; 206 char model_path[PETSC_MAX_PATH_LEN] = ""; 207 TorchDeviceType model_device_type; 208 209 PetscFunctionBeginUser; 210 PetscCallCeed(ceed, CeedGetResource(ceed, &ceed_resource)); 211 if (strstr(ceed_resource, "/gpu/cuda")) model_device_type = TORCH_DEVICE_CUDA; 212 else if (strstr(ceed_resource, "/gpu/hip")) model_device_type = TORCH_DEVICE_HIP; 213 // On-device XPU is not working reliably currently, default to CPU inference evaluation 214 // else if (strstr(ceed_resource, "/gpu/sycl")) model_device_type = TORCH_DEVICE_XPU; 215 else model_device_type = TORCH_DEVICE_CPU; 216 PetscCall(PetscOptionsGetEnum(NULL, NULL, "-sgs_model_dd_torch_model_device", TorchDeviceTypes, (PetscEnum *)&model_device_type, NULL)); 217 PetscCall(PetscOptionsGetString(NULL, NULL, "-sgs_model_dd_torch_model_path", model_path, sizeof(model_path), NULL)); 218 219 PetscCall(LoadModel_Torch(model_path, model_device_type)); 220 221 PetscFunctionReturn(PETSC_SUCCESS); 222 } 223 224 // @brief Perform data-driven model inference using libtorch 225 static PetscErrorCode SgsDDNodalStressEval_Sequential_Torch(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { 226 static PetscBool run_through = PETSC_FALSE; 227 PetscFunctionBeginUser; 228 if (!run_through) { 229 PetscCall(VecViewFromOptions(DD_Inputs_loc, NULL, "-dd_inputs_loc_view")); 230 } 231 PetscCall(ModelInference_Torch(DD_Inputs_loc, DD_Outputs_loc)); 232 if (!run_through) { 233 PetscCall(VecViewFromOptions(DD_Outputs_loc, NULL, "-dd_outputs_loc_view")); 234 run_through = PETSC_TRUE; 235 } 236 PetscFunctionReturn(PETSC_SUCCESS); 237 } 238 239 // @brief Evaluate data-driven SGS using sequential method 240 PetscErrorCode SgsDDNodalStressEval_Sequential(User user, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { 241 SgsDDData sgs_dd_data = user->sgs_dd_data; 242 PetscMemType q_mem_type; 243 Vec DD_Inputs_loc, DD_Outputs_loc; 244 245 PetscFunctionBeginUser; 246 PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); 247 PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); 248 PetscCall(VecPetscToCeed(Q_loc, &q_mem_type, user->q_ceed)); // q_ceed is an implicit input 249 250 PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, DD_Inputs_loc, sgs_dd_data->op_nodal_dd_inputs_ctx)); 251 PetscCall(sgs_dd_data->sgs_nodal_inference(DD_Inputs_loc, DD_Outputs_loc, &sgs_dd_data->sgs_nodal_inference_ctx)); 252 PetscCall(ApplyCeedOperatorLocalToLocal(DD_Outputs_loc, SGSNodal_loc, sgs_dd_data->op_nodal_dd_outputs_ctx)); 253 254 PetscCall(VecCeedToPetsc(user->q_ceed, q_mem_type, Q_loc)); 255 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); 256 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); 257 PetscFunctionReturn(PETSC_SUCCESS); 258 } 259 260 // @brief Create CeedOperator to calculate data-drive SGS at nodes using sequentially-applied operators 261 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential(Ceed ceed, User user, CeedData ceed_data, SgsDDSetupData sgs_dd_setup_data) { 262 SgsDDData sgs_dd_data = user->sgs_dd_data; 263 CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso, num_comp_eigvec = 9 + 1; 264 PetscInt dim; 265 CeedVector inv_multiplicity, eigvec; 266 CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs, elem_restr_eigvec, elem_restr_dd_inputs, 267 elem_restr_dd_outputs; 268 DMLabel domain_label = NULL; 269 PetscInt label_value = 0, height = 0, dm_field = 0; 270 271 PetscFunctionBeginUser; 272 { // Create DMs for data-driven input and output values 273 PetscSection section; 274 PetscInt degree, q_extra; 275 { // Get degree and number of quadrature points from dm_sgs 276 PetscFE fe; 277 PetscSpace basis; 278 PetscQuadrature quadrature; 279 PetscInt num_qpnts; 280 PetscCall(DMGetField(sgs_dd_data->dm_sgs, 0, NULL, (PetscObject *)&fe)); 281 PetscCall(PetscFEGetBasisSpace(fe, &basis)); 282 PetscCall(PetscSpaceGetDegree(basis, °ree, NULL)); 283 PetscCall(PetscFEGetQuadrature(fe, &quadrature)); 284 PetscCall(PetscQuadratureGetOrder(quadrature, &num_qpnts)); 285 q_extra = degree - num_qpnts; 286 } 287 288 PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_inputs)); 289 PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_inputs, "Data-Driven Model Inputs")); 290 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_inputs, sgs_dd_data->dm_dd_inputs)); 291 PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_inputs, §ion)); 292 PetscCall(PetscSectionSetFieldName(section, 0, "")); 293 for (CeedInt i = 0; i < sgs_dd_data->num_comp_inputs; i++) { 294 char component_name[PETSC_MAX_PATH_LEN]; 295 296 PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenInput%" CeedInt_FMT, i + 1)); 297 PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); 298 } 299 300 PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_outputs)); 301 PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_outputs, "Data-Driven Model Outputs")); 302 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_outputs, sgs_dd_data->dm_dd_outputs)); 303 PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_outputs, §ion)); 304 PetscCall(PetscSectionSetFieldName(section, 0, "")); 305 for (CeedInt i = 0; i < sgs_dd_data->num_comp_outputs; i++) { 306 char component_name[PETSC_MAX_PATH_LEN]; 307 308 PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenOutput%" CeedInt_FMT, i + 1)); 309 PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); 310 } 311 } 312 313 PetscCall(DMGetDimension(user->dm, &dim)); 314 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x)); 315 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q)); 316 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); 317 318 { // Get velocity gradient information 319 CeedOperatorField op_field; 320 PetscCallCeed(ceed, CeedOperatorGetFieldByName(user->grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); 321 PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); 322 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); 323 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_grad_velo, &sgs_dd_data->grad_velo_ceed, NULL)); 324 } 325 326 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, &elem_restr_sgs)); 327 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); 328 PetscCall( 329 DMPlexCeedElemRestrictionCollocatedCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, num_comp_eigvec, &elem_restr_eigvec)); 330 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_eigvec, &eigvec, NULL)); 331 332 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_dd_inputs, domain_label, label_value, height, dm_field, &elem_restr_dd_inputs)); 333 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_dd_outputs, domain_label, label_value, height, dm_field, &elem_restr_dd_outputs)); 334 335 PetscCall(GetInverseMultiplicity(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, PETSC_FALSE, &elem_restr_inv_multiplicity, 336 &inv_multiplicity)); 337 338 { // Create operator for data-driven input evaluation 339 CeedQFunction qf_sgs_dd_inputs; 340 CeedOperator op_sgs_dd_inputs; 341 342 switch (user->phys->state_var) { 343 case STATEVAR_PRIMITIVE: 344 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Prim, 345 ComputeSgsDDNodal_Sequential_Inputs_Prim_loc, &qf_sgs_dd_inputs)); 346 break; 347 case STATEVAR_CONSERVATIVE: 348 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Conserv, 349 ComputeSgsDDNodal_Sequential_Inputs_Conserv_loc, &qf_sgs_dd_inputs)); 350 break; 351 case STATEVAR_ENTROPY: 352 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Entropy, 353 ComputeSgsDDNodal_Sequential_Inputs_Entropy_loc, &qf_sgs_dd_inputs)); 354 break; 355 } 356 357 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inputs, sgs_dd_setup_data->sgsdd_qfctx)); 358 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "q", num_comp_q, CEED_EVAL_NONE)); 359 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); 360 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 361 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "inverse multiplicity", 1, CEED_EVAL_NONE)); 362 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inputs, "eigenvectors", num_comp_eigvec, CEED_EVAL_NONE)); 363 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inputs, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); 364 365 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inputs, NULL, NULL, &op_sgs_dd_inputs)); 366 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "q", ceed_data->elem_restr_q, CEED_BASIS_NONE, user->q_ceed)); 367 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 368 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 369 sgs_dd_setup_data->grid_aniso_ceed)); 370 PetscCallCeed(ceed, 371 CeedOperatorSetField(op_sgs_dd_inputs, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 372 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "eigenvectors", elem_restr_eigvec, CEED_BASIS_NONE, eigvec)); 373 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 374 375 PetscCall(OperatorApplyContextCreate(user->grad_velo_proj->dm, sgs_dd_data->dm_dd_inputs, ceed, op_sgs_dd_inputs, NULL, NULL, NULL, NULL, 376 &sgs_dd_data->op_nodal_dd_inputs_ctx)); 377 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inputs)); 378 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inputs)); 379 } 380 381 { // Create operator for data-driven output handling 382 CeedQFunction qf_sgs_dd_outputs; 383 CeedOperator op_sgs_dd_outputs; 384 385 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Outputs, ComputeSgsDDNodal_Sequential_Outputs_loc, 386 &qf_sgs_dd_outputs)); 387 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_outputs, sgs_dd_setup_data->sgsdd_qfctx)); 388 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); 389 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 390 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "inverse multiplicity", 1, CEED_EVAL_NONE)); 391 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "eigenvectors", num_comp_eigvec, CEED_EVAL_NONE)); 392 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_outputs, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); 393 394 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_outputs, NULL, NULL, &op_sgs_dd_outputs)); 395 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 396 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 397 sgs_dd_setup_data->grid_aniso_ceed)); 398 PetscCallCeed(ceed, 399 CeedOperatorSetField(op_sgs_dd_outputs, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 400 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "eigenvectors", elem_restr_eigvec, CEED_BASIS_NONE, eigvec)); 401 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 402 403 PetscCall(OperatorApplyContextCreate(sgs_dd_data->dm_dd_outputs, sgs_dd_data->dm_sgs, ceed, op_sgs_dd_outputs, NULL, sgs_dd_data->sgs_nodal_ceed, 404 NULL, NULL, &sgs_dd_data->op_nodal_dd_outputs_ctx)); 405 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_outputs)); 406 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_outputs)); 407 } 408 409 sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Sequential; 410 411 if (sgs_dd_setup_data->sgs_dd_model_implementation == SGS_MODEL_DD_SEQENTIAL_CEED) { 412 sgs_dd_data->sgs_nodal_inference = SgsDDNodalStressEval_Sequential_Ceed; 413 PetscCall(SgsDDSetupNodalEvaluation_Sequential_Ceed(ceed, sgs_dd_data, sgs_dd_setup_data, elem_restr_dd_inputs, elem_restr_dd_outputs, 414 elem_restr_inv_multiplicity, inv_multiplicity, &sgs_dd_data->sgs_nodal_inference_ctx)); 415 } else if (sgs_dd_setup_data->sgs_dd_model_implementation == SGS_MODEL_DD_SEQENTIAL_TORCH) { 416 sgs_dd_data->sgs_nodal_inference = SgsDDNodalStressEval_Sequential_Torch; 417 PetscCall(SgsDDSetupNodalEvaluation_Sequential_Torch(ceed, sgs_dd_data, sgs_dd_setup_data, elem_restr_dd_inputs, elem_restr_dd_outputs, 418 elem_restr_inv_multiplicity, inv_multiplicity, &sgs_dd_data->sgs_nodal_inference_ctx)); 419 } 420 421 sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; 422 423 PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); 424 PetscCallCeed(ceed, CeedVectorDestroy(&eigvec)); 425 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); 426 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_eigvec)); 427 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_dd_inputs)); 428 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_dd_outputs)); 429 PetscFunctionReturn(PETSC_SUCCESS); 430 } 431 432 // @brief Create CeedOperator to compute SGS contribution to the residual 433 static PetscErrorCode SgsSetupNodalIFunction(Ceed ceed, User user, CeedData ceed_data, SgsDDSetupData sgs_dd_setup_data) { 434 SgsDDData sgs_dd_data = user->sgs_dd_data; 435 CeedInt num_comp_q, num_comp_qd, num_comp_x; 436 PetscInt dim; 437 CeedQFunction qf_sgs_apply; 438 CeedOperator op_sgs_apply; 439 CeedBasis basis_sgs; 440 441 PetscFunctionBeginUser; 442 PetscCall(DMGetDimension(user->dm, &dim)); 443 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q)); 444 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_qd_i, &num_comp_qd)); 445 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x)); 446 447 PetscCall(CreateBasisFromPlex(ceed, sgs_dd_data->dm_sgs, 0, 0, 0, 0, &basis_sgs)); 448 449 switch (user->phys->state_var) { 450 case STATEVAR_PRIMITIVE: 451 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Prim, IFunction_NodalSgs_Prim_loc, &qf_sgs_apply)); 452 break; 453 case STATEVAR_CONSERVATIVE: 454 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Conserv, IFunction_NodalSgs_Conserv_loc, &qf_sgs_apply)); 455 break; 456 case STATEVAR_ENTROPY: 457 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Entropy, IFunction_NodalSgs_Entropy_loc, &qf_sgs_apply)); 458 break; 459 } 460 461 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_apply, sgs_dd_setup_data->ifunction_qfctx)); 462 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "q", num_comp_q, CEED_EVAL_INTERP)); 463 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "qdata", num_comp_qd, CEED_EVAL_NONE)); 464 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_INTERP)); 465 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_apply, "Grad_v", num_comp_q * dim, CEED_EVAL_GRAD)); 466 467 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_apply, NULL, NULL, &op_sgs_apply)); 468 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "q", ceed_data->elem_restr_q, ceed_data->basis_q, CEED_VECTOR_ACTIVE)); 469 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "qdata", ceed_data->elem_restr_qd_i, CEED_BASIS_NONE, ceed_data->q_data)); 470 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "km_sgs", sgs_dd_setup_data->elem_restr_sgs, basis_sgs, sgs_dd_data->sgs_nodal_ceed)); 471 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "Grad_v", ceed_data->elem_restr_q, ceed_data->basis_q, CEED_VECTOR_ACTIVE)); 472 473 PetscCall( 474 OperatorApplyContextCreate(user->dm, user->dm, ceed, op_sgs_apply, user->q_ceed, user->g_ceed, NULL, NULL, &sgs_dd_data->op_sgs_apply_ctx)); 475 476 PetscCallCeed(ceed, CeedBasisDestroy(&basis_sgs)); 477 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_apply)); 478 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_apply)); 479 PetscFunctionReturn(PETSC_SUCCESS); 480 } 481 482 // @brief Calculate and add data-driven SGS residual to the global residual 483 PetscErrorCode SgsDDApplyIFunction(User user, const Vec Q_loc, Vec G_loc) { 484 SgsDDData sgs_dd_data = user->sgs_dd_data; 485 Vec VelocityGradient, SGSNodal_loc; 486 PetscMemType sgs_nodal_mem_type; 487 488 PetscFunctionBeginUser; 489 PetscCall(PetscLogEventBegin(FLUIDS_SgsModel, Q_loc, G_loc, NULL, NULL)); 490 PetscCall(DMGetGlobalVector(user->grad_velo_proj->dm, &VelocityGradient)); 491 PetscCall(VelocityGradientProjectionApply(user->grad_velo_proj, Q_loc, VelocityGradient)); 492 493 // -- Compute Nodal SGS tensor 494 PetscCall(DMGetLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); 495 PetscCall(sgs_dd_data->sgs_nodal_eval(user, Q_loc, VelocityGradient, SGSNodal_loc)); 496 497 // -- Compute contribution of the SGS stress 498 PetscCall(VecPetscToCeed(SGSNodal_loc, &sgs_nodal_mem_type, sgs_dd_data->sgs_nodal_ceed)); // sgs_nodal_ceed is an implicit input 499 PetscCall(ApplyAddCeedOperatorLocalToLocal(Q_loc, G_loc, sgs_dd_data->op_sgs_apply_ctx)); 500 501 // -- Return local SGS vector 502 PetscCall(VecCeedToPetsc(sgs_dd_data->sgs_nodal_ceed, sgs_nodal_mem_type, SGSNodal_loc)); 503 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); 504 PetscCall(DMRestoreGlobalVector(user->grad_velo_proj->dm, &VelocityGradient)); 505 PetscCall(PetscLogEventEnd(FLUIDS_SgsModel, Q_loc, G_loc, NULL, NULL)); 506 PetscFunctionReturn(PETSC_SUCCESS); 507 } 508 509 // @brief B = A^T, A is NxM, B is MxN 510 static PetscErrorCode TransposeMatrix(const PetscScalar *A, PetscScalar *B, const PetscInt N, const PetscInt M) { 511 PetscFunctionBeginUser; 512 for (PetscInt i = 0; i < N; i++) { 513 for (PetscInt j = 0; j < M; j++) { 514 B[j * N + i] = A[i * M + j]; 515 } 516 } 517 PetscFunctionReturn(PETSC_SUCCESS); 518 } 519 520 // @brief Read neural network coefficients from file and put into context struct 521 static PetscErrorCode SgsDDContextFill(MPI_Comm comm, char data_dir[PETSC_MAX_PATH_LEN], SgsDDContext *psgsdd_ctx) { 522 SgsDDContext sgsdd_ctx; 523 PetscInt num_inputs = (*psgsdd_ctx)->num_inputs, num_outputs = (*psgsdd_ctx)->num_outputs, num_neurons = (*psgsdd_ctx)->num_neurons; 524 char file_path[PETSC_MAX_PATH_LEN]; 525 PetscScalar *temp; 526 527 PetscFunctionBeginUser; 528 { 529 SgsDDContext sgsdd_temp; 530 PetscCall(PetscNew(&sgsdd_temp)); 531 *sgsdd_temp = **psgsdd_ctx; 532 sgsdd_temp->offsets.bias1 = 0; 533 sgsdd_temp->offsets.bias2 = sgsdd_temp->offsets.bias1 + num_neurons; 534 sgsdd_temp->offsets.weight1 = sgsdd_temp->offsets.bias2 + num_neurons; 535 sgsdd_temp->offsets.weight2 = sgsdd_temp->offsets.weight1 + num_neurons * num_inputs; 536 sgsdd_temp->offsets.out_scaling = sgsdd_temp->offsets.weight2 + num_inputs * num_neurons; 537 PetscInt total_num_scalars = sgsdd_temp->offsets.out_scaling + 2 * num_outputs; 538 sgsdd_temp->total_bytes = sizeof(*sgsdd_ctx) + total_num_scalars * sizeof(sgsdd_ctx->data[0]); 539 PetscCall(PetscMalloc(sgsdd_temp->total_bytes, &sgsdd_ctx)); 540 *sgsdd_ctx = *sgsdd_temp; 541 PetscCall(PetscFree(sgsdd_temp)); 542 } 543 544 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b1.dat")); 545 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias1])); 546 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b2.dat")); 547 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias2])); 548 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "OutScaling.dat")); 549 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.out_scaling])); 550 551 { 552 PetscCall(PetscMalloc1(num_inputs * num_neurons, &temp)); 553 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w1.dat")); 554 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); 555 PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight1], num_inputs, num_neurons)); 556 PetscCall(PetscFree(temp)); 557 } 558 { 559 PetscCall(PetscMalloc1(num_outputs * num_neurons, &temp)); 560 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w2.dat")); 561 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); 562 PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight2], num_neurons, num_outputs)); 563 PetscCall(PetscFree(temp)); 564 } 565 566 PetscCall(PetscFree(*psgsdd_ctx)); 567 *psgsdd_ctx = sgsdd_ctx; 568 PetscFunctionReturn(PETSC_SUCCESS); 569 } 570 571 PetscErrorCode SgsDDSetup(Ceed ceed, User user, CeedData ceed_data, ProblemData problem) { 572 PetscReal alpha = 0; 573 SgsDDContext sgsdd_ctx; 574 MPI_Comm comm = user->comm; 575 char sgs_dd_dir[PETSC_MAX_PATH_LEN] = "./dd_sgs_parameters"; 576 SgsDDSetupData sgs_dd_setup_data; 577 NewtonianIdealGasContext gas; 578 579 PetscFunctionBeginUser; 580 PetscCall(VelocityGradientProjectionSetup(ceed, user, ceed_data, problem, user->phys->state_var, ceed_data->elem_restr_q, ceed_data->basis_q, 581 &user->grad_velo_proj)); 582 583 PetscCall(PetscNew(&user->sgs_dd_data)); 584 user->sgs_dd_data->num_comp_inputs = 6; 585 user->sgs_dd_data->num_comp_outputs = 6; 586 587 PetscCall(PetscNew(&sgs_dd_setup_data)); 588 589 PetscOptionsBegin(comm, NULL, "SGS Data-Driven Model Options", NULL); 590 PetscCall(PetscOptionsReal("-sgs_model_dd_leakyrelu_alpha", "Slope parameter for Leaky ReLU activation function", NULL, alpha, &alpha, NULL)); 591 PetscCall(PetscOptionsString("-sgs_model_dd_parameter_dir", "Path to directory with model parameters (weights, biases, etc.)", NULL, sgs_dd_dir, 592 sgs_dd_dir, sizeof(sgs_dd_dir), NULL)); 593 PetscCall(PetscOptionsDeprecated("-sgs_model_dd_use_fused", NULL, "libCEED 0.12.0", "Use -sgs_model_dd_type instead")); 594 sgs_dd_setup_data->sgs_dd_model_implementation = SGS_MODEL_DD_FUSED; 595 PetscCall(PetscOptionsEnum("-sgs_model_dd_implementation", "Data-Driven SGS model implementation", NULL, SGSModelDDImplementations, 596 (PetscEnum)sgs_dd_setup_data->sgs_dd_model_implementation, (PetscEnum *)&sgs_dd_setup_data->sgs_dd_model_implementation, 597 NULL)); 598 PetscOptionsEnd(); 599 600 PetscCall(PetscNew(&sgsdd_ctx)); 601 sgsdd_ctx->num_layers = 1; 602 sgsdd_ctx->num_inputs = 6; 603 sgsdd_ctx->num_outputs = 6; 604 sgsdd_ctx->num_neurons = 20; 605 sgsdd_ctx->alpha = alpha; 606 607 PetscCall(SgsDDContextFill(comm, sgs_dd_dir, &sgsdd_ctx)); 608 609 // -- Create DM for storing SGS tensor at nodes 610 PetscCall(SgsDDCreateDM(user->dm, &user->sgs_dd_data->dm_sgs, user->app_ctx->degree, user->app_ctx->q_extra, &user->sgs_dd_data->num_comp_sgs)); 611 612 PetscCallCeed(ceed, CeedQFunctionContextGetDataRead(problem->apply_vol_ifunction.qfunction_context, CEED_MEM_HOST, &gas)); 613 sgsdd_ctx->gas = *gas; 614 PetscCallCeed(ceed, CeedQFunctionContextRestoreDataRead(problem->apply_vol_ifunction.qfunction_context, &gas)); 615 PetscCallCeed(ceed, CeedQFunctionContextCreate(user->ceed, &sgs_dd_setup_data->sgsdd_qfctx)); 616 PetscCallCeed(ceed, 617 CeedQFunctionContextSetData(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, CEED_USE_POINTER, sgsdd_ctx->total_bytes, sgsdd_ctx)); 618 PetscCallCeed(ceed, CeedQFunctionContextSetDataDestroy(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, FreeContextPetsc)); 619 620 PetscCallCeed(ceed, CeedQFunctionContextReferenceCopy(problem->apply_vol_ifunction.qfunction_context, &sgs_dd_setup_data->ifunction_qfctx)); 621 622 // -- Compute and store anisotropy tensor 623 PetscCall(GridAnisotropyTensorProjectionSetupApply(ceed, user, ceed_data, &sgs_dd_setup_data->elem_restr_grid_aniso, 624 &sgs_dd_setup_data->grid_aniso_ceed)); 625 626 // -- Create Nodal Evaluation Operator 627 switch (sgs_dd_setup_data->sgs_dd_model_implementation) { 628 case SGS_MODEL_DD_FUSED: 629 PetscCall(SgsDDSetupNodalEvaluation_Fused(ceed, user, ceed_data, sgs_dd_setup_data)); 630 break; 631 case SGS_MODEL_DD_SEQENTIAL_CEED: 632 case SGS_MODEL_DD_SEQENTIAL_TORCH: 633 PetscCall(SgsDDSetupNodalEvaluation_Sequential(ceed, user, ceed_data, sgs_dd_setup_data)); 634 break; 635 } 636 637 // -- Create Operator to evalutate residual of SGS stress 638 PetscCall(SgsSetupNodalIFunction(ceed, user, ceed_data, sgs_dd_setup_data)); 639 640 PetscCall(SgsDDSetupDataDestroy(sgs_dd_setup_data)); 641 PetscFunctionReturn(PETSC_SUCCESS); 642 } 643 644 PetscErrorCode SgsDDDataDestroy(SgsDDData sgs_dd_data) { 645 PetscFunctionBeginUser; 646 if (!sgs_dd_data) PetscFunctionReturn(PETSC_SUCCESS); 647 Ceed ceed = sgs_dd_data->op_sgs_apply_ctx->ceed; 648 649 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->sgs_nodal_ceed)); 650 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->grad_velo_ceed)); 651 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_evaluation_ctx)); 652 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_sgs_apply_ctx)); 653 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_dd_inputs_ctx)); 654 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_dd_outputs_ctx)); 655 PetscCall(DMDestroy(&sgs_dd_data->dm_sgs)); 656 PetscCall(DMDestroy(&sgs_dd_data->dm_dd_inputs)); 657 PetscCall(DMDestroy(&sgs_dd_data->dm_dd_outputs)); 658 if (sgs_dd_data->sgs_nodal_inference_ctx) PetscCall(sgs_dd_data->sgs_nodal_inference_ctx_destroy(sgs_dd_data->sgs_nodal_inference_ctx)); 659 PetscCall(PetscFree(sgs_dd_data)); 660 PetscFunctionReturn(PETSC_SUCCESS); 661 } 662