1 // SPDX-FileCopyrightText: Copyright (c) 2017-2024, HONEE contributors. 2 // SPDX-License-Identifier: Apache-2.0 OR BSD-2-Clause 3 4 #include "../qfunctions/sgs_dd_model.h" 5 6 #include <petscdmplex.h> 7 8 #include <navierstokes.h> 9 #include <sgs_model_torch.h> 10 11 typedef struct { 12 CeedElemRestriction elem_restr_grid_aniso, elem_restr_sgs; 13 CeedVector grid_aniso_ceed; 14 CeedQFunctionContext sgsdd_qfctx, ifunction_qfctx; 15 SGSModelDDImplementation sgs_dd_model_implementation; 16 } *SgsDDSetupData; 17 18 PetscErrorCode SgsDDSetupDataDestroy(SgsDDSetupData sgs_dd_setup_data) { 19 Ceed ceed; 20 21 PetscFunctionBeginUser; 22 PetscCall(CeedElemRestrictionGetCeed(sgs_dd_setup_data->elem_restr_sgs, &ceed)); 23 24 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_grid_aniso)); 25 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_sgs)); 26 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_setup_data->grid_aniso_ceed)); 27 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->sgsdd_qfctx)); 28 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->ifunction_qfctx)); 29 PetscCall(PetscFree(sgs_dd_setup_data)); 30 PetscFunctionReturn(PETSC_SUCCESS); 31 } 32 33 // @brief Create DM for storing subgrid stress at nodes 34 static PetscErrorCode SgsDDCreateDM(DM dm_source, DM *dm_sgs, PetscInt degree, PetscInt q_extra, PetscInt *num_components) { 35 PetscSection section; 36 37 PetscFunctionBeginUser; 38 *num_components = 6; 39 40 PetscCall(DMClone(dm_source, dm_sgs)); 41 PetscCall(DMSetMatrixPreallocateSkip(*dm_sgs, PETSC_TRUE)); 42 PetscCall(PetscObjectSetName((PetscObject)*dm_sgs, "Subgrid Stress Projection")); 43 44 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, num_components, *dm_sgs)); 45 46 PetscCall(DMGetLocalSection(*dm_sgs, §ion)); 47 PetscCall(PetscSectionSetFieldName(section, 0, "")); 48 PetscCall(PetscSectionSetComponentName(section, 0, 0, "KMSubgridStressXX")); 49 PetscCall(PetscSectionSetComponentName(section, 0, 1, "KMSubgridStressYY")); 50 PetscCall(PetscSectionSetComponentName(section, 0, 2, "KMSubgridStressZZ")); 51 PetscCall(PetscSectionSetComponentName(section, 0, 3, "KMSubgridStressYZ")); 52 PetscCall(PetscSectionSetComponentName(section, 0, 4, "KMSubgridStressXZ")); 53 PetscCall(PetscSectionSetComponentName(section, 0, 5, "KMSubgridStressXY")); 54 PetscFunctionReturn(PETSC_SUCCESS); 55 }; 56 57 // @brief Evaluate data-driven SGS using fused method 58 static PetscErrorCode SgsDDNodalStressEval_Fused(Honee honee, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { 59 SgsDDData sgs_dd_data = honee->sgs_dd_data; 60 PetscMemType q_mem_type; 61 62 PetscFunctionBeginUser; 63 PetscCall(VecPetscToCeed(Q_loc, &q_mem_type, honee->q_ceed)); // q_ceed is an implicit input 64 65 PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, SGSNodal_loc, sgs_dd_data->op_nodal_evaluation_ctx)); 66 67 PetscCall(VecCeedToPetsc(honee->q_ceed, q_mem_type, Q_loc)); 68 PetscFunctionReturn(PETSC_SUCCESS); 69 } 70 71 // @brief Create CeedOperator to calculate data-drive SGS at nodes using fused operator 72 static PetscErrorCode SgsDDSetupNodalEvaluation_Fused(Ceed ceed, Honee honee, SgsDDSetupData sgs_dd_setup_data) { 73 SgsDDData sgs_dd_data = honee->sgs_dd_data; 74 CeedQFunction qf_sgs_dd_nodal; 75 CeedOperator op_sgs_dd_nodal; 76 CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso; 77 PetscInt dim; 78 CeedVector inv_multiplicity; 79 CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs; 80 DMLabel domain_label = NULL; 81 PetscInt label_value = 0, height = 0, dm_field = 0; 82 83 PetscFunctionBeginUser; 84 PetscCall(DMGetDimension(honee->dm, &dim)); 85 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_x, &num_comp_x)); 86 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_q, &num_comp_q)); 87 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); 88 89 { // Get velocity gradient information 90 CeedOperatorField op_field; 91 PetscCallCeed(ceed, CeedOperatorGetFieldByName(honee->grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); 92 PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); 93 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); 94 } 95 PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, &elem_restr_sgs)); 96 PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); 97 98 PetscCall(GetInverseMultiplicity(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, PETSC_FALSE, &elem_restr_inv_multiplicity, 99 &inv_multiplicity)); 100 101 // -- Create operator for SGS DD model nodal evaluation 102 switch (honee->phys->state_var) { 103 case STATEVAR_PRIMITIVE: 104 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Prim, ComputeSgsDDNodal_Prim_loc, &qf_sgs_dd_nodal)); 105 break; 106 case STATEVAR_CONSERVATIVE: 107 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Conserv, ComputeSgsDDNodal_Conserv_loc, &qf_sgs_dd_nodal)); 108 break; 109 case STATEVAR_ENTROPY: 110 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Entropy, ComputeSgsDDNodal_Entropy_loc, &qf_sgs_dd_nodal)); 111 break; 112 } 113 114 // Mesh/geometry order and solution basis order may differ, therefore must interpolate 115 CeedBasis basis_x_to_q; 116 PetscCallCeed(ceed, CeedBasisCreateProjection(honee->basis_x, honee->basis_q, &basis_x_to_q)); 117 118 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_nodal, sgs_dd_setup_data->sgsdd_qfctx)); 119 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "q", num_comp_q, CEED_EVAL_NONE)); 120 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "x", num_comp_x, CEED_EVAL_INTERP)); 121 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); 122 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); 123 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "inverse multiplicity", 1, CEED_EVAL_NONE)); 124 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_nodal, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); 125 126 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_nodal, NULL, NULL, &op_sgs_dd_nodal)); 127 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "q", honee->elem_restr_q, CEED_BASIS_NONE, honee->q_ceed)); 128 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "x", honee->elem_restr_x, basis_x_to_q, honee->x_coord)); 129 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 130 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, 131 sgs_dd_setup_data->grid_aniso_ceed)); 132 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 133 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 134 135 PetscCall(OperatorApplyContextCreate(honee->grad_velo_proj->dm, sgs_dd_data->dm_sgs, ceed, op_sgs_dd_nodal, NULL, sgs_dd_data->sgs_nodal_ceed, NULL, 136 NULL, &sgs_dd_data->op_nodal_evaluation_ctx)); 137 138 sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; 139 sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Fused; 140 141 PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); 142 PetscCallCeed(ceed, CeedBasisDestroy(&basis_x_to_q)); 143 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); 144 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_grad_velo)); 145 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_nodal)); 146 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_nodal)); 147 PetscFunctionReturn(PETSC_SUCCESS); 148 } 149 150 // @brief Setup data-driven model inference using libCEED native implementation 151 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Ceed(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, 152 CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, 153 CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, 154 void **ctx) { 155 CeedQFunction qf_sgs_dd_inference; 156 CeedOperator op_sgs_dd_inference; 157 OperatorApplyContext *op_context = (OperatorApplyContext *)ctx; 158 159 PetscFunctionBeginUser; 160 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inference, ComputeSgsDDNodal_Sequential_Inference_loc, 161 &qf_sgs_dd_inference)); 162 163 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inference, sgs_dd_setup_data->sgsdd_qfctx)); 164 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); 165 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "inverse multiplicity", 1, CEED_EVAL_NONE)); 166 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inference, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); 167 168 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inference, NULL, NULL, &op_sgs_dd_inference)); 169 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 170 PetscCallCeed(ceed, 171 CeedOperatorSetField(op_sgs_dd_inference, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); 172 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 173 174 PetscCall(OperatorApplyContextCreate(sgs_dd_data->dm_dd_inputs, sgs_dd_data->dm_dd_outputs, ceed, op_sgs_dd_inference, NULL, NULL, NULL, NULL, 175 op_context)); 176 sgs_dd_data->sgs_nodal_inference_ctx_destroy = (PetscErrorCode(*)(void *))OperatorApplyContextDestroy; 177 178 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inference)); 179 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inference)); 180 PetscFunctionReturn(PETSC_SUCCESS); 181 } 182 183 // @brief Perform data-driven model inference using libCEED native implementation 184 PetscErrorCode SgsDDNodalStressEval_Sequential_Ceed(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { 185 OperatorApplyContext op_context = *(OperatorApplyContext *)ctx; 186 187 PetscFunctionBeginUser; 188 PetscCall(PetscLogEventBegin(FLUIDS_SgsModelDDData, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 189 PetscCall(PetscLogEventBegin(FLUIDS_SgsModelDDInference, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 190 PetscCall(PetscLogGpuTimeBegin()); 191 PetscCall(ApplyCeedOperatorLocalToLocal(DD_Inputs_loc, DD_Outputs_loc, op_context)); 192 PetscCall(PetscLogGpuTimeEnd()); 193 PetscCall(PetscLogEventEnd(FLUIDS_SgsModelDDInference, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 194 PetscCall(PetscLogEventEnd(FLUIDS_SgsModelDDData, DD_Inputs_loc, DD_Outputs_loc, NULL, NULL)); 195 PetscFunctionReturn(PETSC_SUCCESS); 196 } 197 198 // @brief Setup data-driven model inference using libtorch 199 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Torch(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, 200 CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, 201 CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, 202 void **ctx) { 203 const char *ceed_resource; 204 char model_path[PETSC_MAX_PATH_LEN] = ""; 205 TorchDeviceType model_device_type; 206 207 PetscFunctionBeginUser; 208 PetscCallCeed(ceed, CeedGetResource(ceed, &ceed_resource)); 209 if (strstr(ceed_resource, "/gpu/cuda")) model_device_type = TORCH_DEVICE_CUDA; 210 else if (strstr(ceed_resource, "/gpu/hip")) model_device_type = TORCH_DEVICE_HIP; 211 // On-device XPU is not working reliably currently, default to CPU inference evaluation 212 // else if (strstr(ceed_resource, "/gpu/sycl")) model_device_type = TORCH_DEVICE_XPU; 213 else model_device_type = TORCH_DEVICE_CPU; 214 PetscCall(PetscOptionsGetEnum(NULL, NULL, "-sgs_model_dd_torch_model_device", TorchDeviceTypes, (PetscEnum *)&model_device_type, NULL)); 215 PetscCall(PetscOptionsGetString(NULL, NULL, "-sgs_model_dd_torch_model_path", model_path, sizeof(model_path), NULL)); 216 217 PetscCall(LoadModel_Torch(model_path, model_device_type)); 218 219 PetscFunctionReturn(PETSC_SUCCESS); 220 } 221 222 // @brief Perform data-driven model inference using libtorch 223 static PetscErrorCode SgsDDNodalStressEval_Sequential_Torch(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { 224 static PetscBool run_through = PETSC_FALSE; 225 PetscFunctionBeginUser; 226 if (!run_through) { 227 PetscCall(VecViewFromOptions(DD_Inputs_loc, NULL, "-dd_inputs_loc_view")); 228 } 229 PetscCall(ModelInference_Torch(DD_Inputs_loc, DD_Outputs_loc)); 230 if (!run_through) { 231 PetscCall(VecViewFromOptions(DD_Outputs_loc, NULL, "-dd_outputs_loc_view")); 232 run_through = PETSC_TRUE; 233 } 234 PetscFunctionReturn(PETSC_SUCCESS); 235 } 236 237 // @brief Evaluate data-driven SGS using sequential method 238 PetscErrorCode SgsDDNodalStressEval_Sequential(Honee honee, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { 239 SgsDDData sgs_dd_data = honee->sgs_dd_data; 240 PetscMemType q_mem_type; 241 Vec DD_Inputs_loc, DD_Outputs_loc; 242 243 PetscFunctionBeginUser; 244 PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); 245 PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); 246 PetscCall(VecPetscToCeed(Q_loc, &q_mem_type, honee->q_ceed)); // q_ceed is an implicit input 247 248 PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, DD_Inputs_loc, sgs_dd_data->op_nodal_dd_inputs_ctx)); 249 PetscCall(sgs_dd_data->sgs_nodal_inference(DD_Inputs_loc, DD_Outputs_loc, &sgs_dd_data->sgs_nodal_inference_ctx)); 250 PetscCall(ApplyCeedOperatorLocalToLocal(DD_Outputs_loc, SGSNodal_loc, sgs_dd_data->op_nodal_dd_outputs_ctx)); 251 252 PetscCall(VecCeedToPetsc(honee->q_ceed, q_mem_type, Q_loc)); 253 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); 254 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); 255 PetscFunctionReturn(PETSC_SUCCESS); 256 } 257 258 // @brief Create CeedOperator to calculate data-drive SGS at nodes using sequentially-applied operators 259 static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential(Ceed ceed, Honee honee, SgsDDSetupData sgs_dd_setup_data) { 260 SgsDDData sgs_dd_data = honee->sgs_dd_data; 261 CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso, num_comp_eigvec = 9 + 1; 262 PetscInt dim; 263 CeedVector inv_multiplicity, eigvec; 264 CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs, elem_restr_eigvec, elem_restr_dd_inputs, 265 elem_restr_dd_outputs; 266 DMLabel domain_label = NULL; 267 PetscInt label_value = 0, height = 0, dm_field = 0; 268 269 PetscFunctionBeginUser; 270 { // Create DMs for data-driven input and output values 271 PetscSection section; 272 PetscInt degree, q_extra; 273 { // Get degree and number of quadrature points from dm_sgs 274 PetscFE fe; 275 PetscSpace basis; 276 PetscQuadrature quadrature; 277 PetscInt num_qpnts; 278 PetscCall(DMGetField(sgs_dd_data->dm_sgs, 0, NULL, (PetscObject *)&fe)); 279 PetscCall(PetscFEGetBasisSpace(fe, &basis)); 280 PetscCall(PetscSpaceGetDegree(basis, °ree, NULL)); 281 PetscCall(PetscFEGetQuadrature(fe, &quadrature)); 282 PetscCall(PetscQuadratureGetOrder(quadrature, &num_qpnts)); 283 q_extra = degree - num_qpnts; 284 } 285 286 PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_inputs)); 287 PetscCall(DMSetMatrixPreallocateSkip(sgs_dd_data->dm_dd_inputs, PETSC_TRUE)); 288 PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_inputs, "Data-Driven Model Inputs")); 289 PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_inputs, sgs_dd_data->dm_dd_inputs)); 290 PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_inputs, §ion)); 291 PetscCall(PetscSectionSetFieldName(section, 0, "")); 292 for (CeedInt i = 0; i < sgs_dd_data->num_comp_inputs; i++) { 293 char component_name[PETSC_MAX_PATH_LEN]; 294 295 PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenInput%" CeedInt_FMT, i + 1)); 296 PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); 297 } 298 299 PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_outputs)); 300 PetscCall(DMSetMatrixPreallocateSkip(sgs_dd_data->dm_dd_outputs, PETSC_TRUE)); 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(honee->dm, &dim)); 314 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_x, &num_comp_x)); 315 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->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(honee->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 (honee->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", honee->elem_restr_q, CEED_BASIS_NONE, honee->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(honee->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 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_grad_velo)); 430 PetscFunctionReturn(PETSC_SUCCESS); 431 } 432 433 // @brief Create CeedOperator to compute SGS contribution to the residual 434 static PetscErrorCode SgsSetupNodalIFunction(Ceed ceed, Honee honee, SgsDDSetupData sgs_dd_setup_data) { 435 SgsDDData sgs_dd_data = honee->sgs_dd_data; 436 CeedInt num_comp_q, q_data_size, num_comp_x; 437 PetscInt dim; 438 CeedQFunction qf_sgs_apply; 439 CeedOperator op_sgs_apply; 440 CeedBasis basis_sgs; 441 CeedVector q_data; 442 CeedElemRestriction elem_restr_qd; 443 444 PetscFunctionBeginUser; 445 PetscCall(DMGetDimension(honee->dm, &dim)); 446 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_q, &num_comp_q)); 447 PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(honee->elem_restr_x, &num_comp_x)); 448 449 { 450 DMLabel domain_label = NULL; 451 PetscInt label_value = 0, height = 0, dm_field = 0; 452 453 PetscCall(CreateBasisFromPlex(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, &basis_sgs)); 454 PetscCall(QDataGet(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, honee->elem_restr_x, honee->basis_x, honee->x_coord, &elem_restr_qd, 455 &q_data, &q_data_size)); 456 } 457 458 switch (honee->phys->state_var) { 459 case STATEVAR_PRIMITIVE: 460 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Prim, IFunction_NodalSgs_Prim_loc, &qf_sgs_apply)); 461 break; 462 case STATEVAR_CONSERVATIVE: 463 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Conserv, IFunction_NodalSgs_Conserv_loc, &qf_sgs_apply)); 464 break; 465 case STATEVAR_ENTROPY: 466 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Entropy, IFunction_NodalSgs_Entropy_loc, &qf_sgs_apply)); 467 break; 468 } 469 470 PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_apply, sgs_dd_setup_data->ifunction_qfctx)); 471 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "q", num_comp_q, CEED_EVAL_INTERP)); 472 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "qdata", q_data_size, CEED_EVAL_NONE)); 473 PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_INTERP)); 474 PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_apply, "Grad_v", num_comp_q * dim, CEED_EVAL_GRAD)); 475 476 PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_apply, NULL, NULL, &op_sgs_apply)); 477 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "q", honee->elem_restr_q, honee->basis_q, CEED_VECTOR_ACTIVE)); 478 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "qdata", elem_restr_qd, CEED_BASIS_NONE, q_data)); 479 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "km_sgs", sgs_dd_setup_data->elem_restr_sgs, basis_sgs, sgs_dd_data->sgs_nodal_ceed)); 480 PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "Grad_v", honee->elem_restr_q, honee->basis_q, CEED_VECTOR_ACTIVE)); 481 482 PetscCall( 483 OperatorApplyContextCreate(honee->dm, honee->dm, ceed, op_sgs_apply, honee->q_ceed, honee->g_ceed, NULL, NULL, &sgs_dd_data->op_sgs_apply_ctx)); 484 485 PetscCallCeed(ceed, CeedVectorDestroy(&q_data)); 486 PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_qd)); 487 PetscCallCeed(ceed, CeedBasisDestroy(&basis_sgs)); 488 PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_apply)); 489 PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_apply)); 490 PetscFunctionReturn(PETSC_SUCCESS); 491 } 492 493 // @brief Calculate and add data-driven SGS residual to the global residual 494 PetscErrorCode SgsDDApplyIFunction(Honee honee, const Vec Q_loc, Vec G_loc) { 495 SgsDDData sgs_dd_data = honee->sgs_dd_data; 496 Vec VelocityGradient, SGSNodal_loc; 497 PetscMemType sgs_nodal_mem_type; 498 499 PetscFunctionBeginUser; 500 PetscCall(PetscLogEventBegin(FLUIDS_SgsModel, Q_loc, G_loc, NULL, NULL)); 501 PetscCall(DMGetGlobalVector(honee->grad_velo_proj->dm, &VelocityGradient)); 502 PetscCall(VelocityGradientProjectionApply(honee->grad_velo_proj, Q_loc, VelocityGradient)); 503 504 // -- Compute Nodal SGS tensor 505 PetscCall(DMGetLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); 506 PetscCall(sgs_dd_data->sgs_nodal_eval(honee, Q_loc, VelocityGradient, SGSNodal_loc)); 507 508 // -- Compute contribution of the SGS stress 509 PetscCall(VecPetscToCeed(SGSNodal_loc, &sgs_nodal_mem_type, sgs_dd_data->sgs_nodal_ceed)); // sgs_nodal_ceed is an implicit input 510 PetscCall(ApplyAddCeedOperatorLocalToLocal(Q_loc, G_loc, sgs_dd_data->op_sgs_apply_ctx)); 511 512 // -- Return local SGS vector 513 PetscCall(VecCeedToPetsc(sgs_dd_data->sgs_nodal_ceed, sgs_nodal_mem_type, SGSNodal_loc)); 514 PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); 515 PetscCall(DMRestoreGlobalVector(honee->grad_velo_proj->dm, &VelocityGradient)); 516 PetscCall(PetscLogEventEnd(FLUIDS_SgsModel, Q_loc, G_loc, NULL, NULL)); 517 PetscFunctionReturn(PETSC_SUCCESS); 518 } 519 520 // @brief B = A^T, A is NxM, B is MxN 521 static PetscErrorCode TransposeMatrix(const PetscScalar *A, PetscScalar *B, const PetscInt N, const PetscInt M) { 522 PetscFunctionBeginUser; 523 for (PetscInt i = 0; i < N; i++) { 524 for (PetscInt j = 0; j < M; j++) { 525 B[j * N + i] = A[i * M + j]; 526 } 527 } 528 PetscFunctionReturn(PETSC_SUCCESS); 529 } 530 531 // @brief Read neural network coefficients from file and put into context struct 532 static PetscErrorCode SgsDDContextFill(MPI_Comm comm, char data_dir[PETSC_MAX_PATH_LEN], SgsDDContext *psgsdd_ctx) { 533 SgsDDContext sgsdd_ctx; 534 PetscInt num_inputs = (*psgsdd_ctx)->num_inputs, num_outputs = (*psgsdd_ctx)->num_outputs, num_neurons = (*psgsdd_ctx)->num_neurons; 535 char file_path[PETSC_MAX_PATH_LEN]; 536 PetscScalar *temp; 537 538 PetscFunctionBeginUser; 539 { 540 SgsDDContext sgsdd_temp; 541 PetscCall(PetscNew(&sgsdd_temp)); 542 *sgsdd_temp = **psgsdd_ctx; 543 sgsdd_temp->offsets.bias1 = 0; 544 sgsdd_temp->offsets.bias2 = sgsdd_temp->offsets.bias1 + num_neurons; 545 sgsdd_temp->offsets.weight1 = sgsdd_temp->offsets.bias2 + num_neurons; 546 sgsdd_temp->offsets.weight2 = sgsdd_temp->offsets.weight1 + num_neurons * num_inputs; 547 sgsdd_temp->offsets.out_scaling = sgsdd_temp->offsets.weight2 + num_inputs * num_neurons; 548 PetscInt total_num_scalars = sgsdd_temp->offsets.out_scaling + 2 * num_outputs; 549 sgsdd_temp->total_bytes = sizeof(*sgsdd_ctx) + total_num_scalars * sizeof(sgsdd_ctx->data[0]); 550 PetscCall(PetscMalloc(sgsdd_temp->total_bytes, &sgsdd_ctx)); 551 *sgsdd_ctx = *sgsdd_temp; 552 PetscCall(PetscFree(sgsdd_temp)); 553 } 554 555 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b1.dat")); 556 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias1])); 557 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b2.dat")); 558 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias2])); 559 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "OutScaling.dat")); 560 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.out_scaling])); 561 562 { 563 PetscCall(PetscMalloc1(num_inputs * num_neurons, &temp)); 564 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w1.dat")); 565 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); 566 PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight1], num_inputs, num_neurons)); 567 PetscCall(PetscFree(temp)); 568 } 569 { 570 PetscCall(PetscMalloc1(num_outputs * num_neurons, &temp)); 571 PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w2.dat")); 572 PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); 573 PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight2], num_neurons, num_outputs)); 574 PetscCall(PetscFree(temp)); 575 } 576 577 PetscCall(PetscFree(*psgsdd_ctx)); 578 *psgsdd_ctx = sgsdd_ctx; 579 PetscFunctionReturn(PETSC_SUCCESS); 580 } 581 582 PetscErrorCode SgsDDSetup(Ceed ceed, Honee honee, ProblemData problem) { 583 PetscReal alpha = 0; 584 SgsDDContext sgsdd_ctx; 585 MPI_Comm comm = honee->comm; 586 char sgs_dd_dir[PETSC_MAX_PATH_LEN] = "./dd_sgs_parameters"; 587 SgsDDSetupData sgs_dd_setup_data; 588 NewtonianIdealGasContext gas; 589 590 PetscFunctionBeginUser; 591 PetscCall( 592 VelocityGradientProjectionSetup(ceed, honee, problem, honee->phys->state_var, honee->elem_restr_q, honee->basis_q, &honee->grad_velo_proj)); 593 594 PetscCall(PetscNew(&honee->sgs_dd_data)); 595 honee->sgs_dd_data->num_comp_inputs = 6; 596 honee->sgs_dd_data->num_comp_outputs = 6; 597 598 PetscCall(PetscNew(&sgs_dd_setup_data)); 599 600 PetscOptionsBegin(comm, NULL, "SGS Data-Driven Model Options", NULL); 601 PetscCall(PetscOptionsReal("-sgs_model_dd_leakyrelu_alpha", "Slope parameter for Leaky ReLU activation function", NULL, alpha, &alpha, NULL)); 602 PetscCall(PetscOptionsString("-sgs_model_dd_parameter_dir", "Path to directory with model parameters (weights, biases, etc.)", NULL, sgs_dd_dir, 603 sgs_dd_dir, sizeof(sgs_dd_dir), NULL)); 604 PetscCall(PetscOptionsDeprecated("-sgs_model_dd_use_fused", NULL, "libCEED 0.12.0", "Use -sgs_model_dd_type instead")); 605 sgs_dd_setup_data->sgs_dd_model_implementation = SGS_MODEL_DD_FUSED; 606 PetscCall(PetscOptionsEnum("-sgs_model_dd_implementation", "Data-Driven SGS model implementation", NULL, SGSModelDDImplementations, 607 (PetscEnum)sgs_dd_setup_data->sgs_dd_model_implementation, (PetscEnum *)&sgs_dd_setup_data->sgs_dd_model_implementation, 608 NULL)); 609 PetscOptionsEnd(); 610 611 PetscCall(PetscNew(&sgsdd_ctx)); 612 sgsdd_ctx->num_layers = 1; 613 sgsdd_ctx->num_inputs = 6; 614 sgsdd_ctx->num_outputs = 6; 615 sgsdd_ctx->num_neurons = 20; 616 sgsdd_ctx->alpha = alpha; 617 618 PetscCall(SgsDDContextFill(comm, sgs_dd_dir, &sgsdd_ctx)); 619 620 // -- Create DM for storing SGS tensor at nodes 621 PetscCall( 622 SgsDDCreateDM(honee->dm, &honee->sgs_dd_data->dm_sgs, honee->app_ctx->degree, honee->app_ctx->q_extra, &honee->sgs_dd_data->num_comp_sgs)); 623 624 PetscCallCeed(ceed, CeedQFunctionContextGetDataRead(problem->apply_vol_ifunction.qfctx, CEED_MEM_HOST, &gas)); 625 sgsdd_ctx->gas = *gas; 626 PetscCallCeed(ceed, CeedQFunctionContextRestoreDataRead(problem->apply_vol_ifunction.qfctx, &gas)); 627 PetscCallCeed(ceed, CeedQFunctionContextCreate(honee->ceed, &sgs_dd_setup_data->sgsdd_qfctx)); 628 PetscCallCeed(ceed, 629 CeedQFunctionContextSetData(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, CEED_USE_POINTER, sgsdd_ctx->total_bytes, sgsdd_ctx)); 630 PetscCallCeed(ceed, CeedQFunctionContextSetDataDestroy(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, FreeContextPetsc)); 631 632 PetscCallCeed(ceed, CeedQFunctionContextReferenceCopy(problem->apply_vol_ifunction.qfctx, &sgs_dd_setup_data->ifunction_qfctx)); 633 634 // -- Compute and store anisotropy tensor 635 PetscCall(GridAnisotropyTensorProjectionSetupApply(ceed, honee, &sgs_dd_setup_data->elem_restr_grid_aniso, &sgs_dd_setup_data->grid_aniso_ceed)); 636 637 // -- Create Nodal Evaluation Operator 638 switch (sgs_dd_setup_data->sgs_dd_model_implementation) { 639 case SGS_MODEL_DD_FUSED: 640 PetscCall(SgsDDSetupNodalEvaluation_Fused(ceed, honee, sgs_dd_setup_data)); 641 break; 642 case SGS_MODEL_DD_SEQENTIAL_CEED: 643 case SGS_MODEL_DD_SEQENTIAL_TORCH: 644 PetscCall(SgsDDSetupNodalEvaluation_Sequential(ceed, honee, sgs_dd_setup_data)); 645 break; 646 } 647 648 // -- Create Operator to evalutate residual of SGS stress 649 PetscCall(SgsSetupNodalIFunction(ceed, honee, sgs_dd_setup_data)); 650 651 PetscCall(SgsDDSetupDataDestroy(sgs_dd_setup_data)); 652 PetscFunctionReturn(PETSC_SUCCESS); 653 } 654 655 PetscErrorCode SgsDDDataDestroy(SgsDDData sgs_dd_data) { 656 PetscFunctionBeginUser; 657 if (!sgs_dd_data) PetscFunctionReturn(PETSC_SUCCESS); 658 Ceed ceed = sgs_dd_data->op_sgs_apply_ctx->ceed; 659 660 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->sgs_nodal_ceed)); 661 PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->grad_velo_ceed)); 662 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_evaluation_ctx)); 663 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_sgs_apply_ctx)); 664 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_dd_inputs_ctx)); 665 PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_dd_outputs_ctx)); 666 PetscCall(DMDestroy(&sgs_dd_data->dm_sgs)); 667 PetscCall(DMDestroy(&sgs_dd_data->dm_dd_inputs)); 668 PetscCall(DMDestroy(&sgs_dd_data->dm_dd_outputs)); 669 if (sgs_dd_data->sgs_nodal_inference_ctx) PetscCall(sgs_dd_data->sgs_nodal_inference_ctx_destroy(sgs_dd_data->sgs_nodal_inference_ctx)); 670 PetscCall(PetscFree(sgs_dd_data)); 671 PetscFunctionReturn(PETSC_SUCCESS); 672 } 673