// Copyright (c) 2017-2023, Lawrence Livermore National Security, LLC and other CEED contributors. // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. // // SPDX-License-Identifier: BSD-2-Clause // // This file is part of CEED: http://github.com/ceed #include "../qfunctions/sgs_dd_model.h" #include #include "../navierstokes.h" typedef struct { CeedElemRestriction elem_restr_grid_aniso, elem_restr_sgs; CeedVector grid_aniso_ceed; CeedQFunctionContext sgsdd_qfctx, ifunction_qfctx; } *SgsDDSetupData; PetscErrorCode SgsDDSetupDataDestroy(SgsDDSetupData sgs_dd_setup_data) { Ceed ceed; PetscFunctionBeginUser; PetscCall(CeedElemRestrictionGetCeed(sgs_dd_setup_data->elem_restr_sgs, &ceed)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_grid_aniso)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_sgs)); PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_setup_data->grid_aniso_ceed)); PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->sgsdd_qfctx)); PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->ifunction_qfctx)); PetscCall(PetscFree(sgs_dd_setup_data)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Create DM for storing subgrid stress at nodes static PetscErrorCode SgsDDCreateDM(DM dm_source, DM *dm_sgs, PetscInt degree, PetscInt q_extra, PetscInt *num_components) { PetscSection section; PetscFunctionBeginUser; *num_components = 6; PetscCall(DMClone(dm_source, dm_sgs)); PetscCall(PetscObjectSetName((PetscObject)*dm_sgs, "Subgrid Stress Projection")); PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, num_components, *dm_sgs)); PetscCall(DMGetLocalSection(*dm_sgs, §ion)); PetscCall(PetscSectionSetFieldName(section, 0, "")); PetscCall(PetscSectionSetComponentName(section, 0, 0, "KMSubgridStressXX")); PetscCall(PetscSectionSetComponentName(section, 0, 1, "KMSubgridStressYY")); PetscCall(PetscSectionSetComponentName(section, 0, 2, "KMSubgridStressZZ")); PetscCall(PetscSectionSetComponentName(section, 0, 3, "KMSubgridStressYZ")); PetscCall(PetscSectionSetComponentName(section, 0, 4, "KMSubgridStressXZ")); PetscCall(PetscSectionSetComponentName(section, 0, 5, "KMSubgridStressXY")); PetscFunctionReturn(PETSC_SUCCESS); }; // @brief Evaluate data-driven SGS using fused method static PetscErrorCode SgsDDNodalStressEval_Fused(User user, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { SgsDDData sgs_dd_data = user->sgs_dd_data; PetscMemType q_mem_type; PetscFunctionBeginUser; PetscCall(VecP2C(Q_loc, &q_mem_type, user->q_ceed)); // q_ceed is an implicit input PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, SGSNodal_loc, sgs_dd_data->op_nodal_evaluation_ctx)); PetscCall(VecC2P(user->q_ceed, q_mem_type, Q_loc)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Create CeedOperator to calculate data-drive SGS at nodes using fused operator static PetscErrorCode SgsDDSetupNodalEvaluation_Fused(Ceed ceed, User user, CeedData ceed_data, SgsDDSetupData sgs_dd_setup_data) { SgsDDData sgs_dd_data = user->sgs_dd_data; CeedQFunction qf_multiplicity, qf_sgs_dd_nodal; CeedOperator op_multiplicity, op_sgs_dd_nodal; CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso; PetscInt dim; CeedVector multiplicity, inv_multiplicity; CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs; DMLabel domain_label = NULL; PetscInt label_value = 0, height = 0, dm_field = 0; PetscFunctionBeginUser; PetscCall(DMGetDimension(user->dm, &dim)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); { // Get velocity gradient information CeedOperatorField op_field; PetscCallCeed(ceed, CeedOperatorGetFieldByName(user->grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); } PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, &elem_restr_sgs)); PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); // -- Create inverse multiplicity for correcting nodal assembly PetscCallCeed(ceed, CeedElemRestrictionCreateVector(ceed_data->elem_restr_q, &multiplicity, NULL)); PetscCallCeed(ceed, CeedElemRestrictionGetMultiplicity(ceed_data->elem_restr_q, multiplicity)); PetscCall(DMPlexCeedElemRestrictionCollocatedCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, 1, &elem_restr_inv_multiplicity)); PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_inv_multiplicity, &inv_multiplicity, NULL)); PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, InverseMultiplicity, InverseMultiplicity_loc, &qf_multiplicity)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_multiplicity, "multiplicity", num_comp_q, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_multiplicity, "inverse multiplicity", 1, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_multiplicity, NULL, NULL, &op_multiplicity)); PetscCallCeed(ceed, CeedOperatorSetName(op_multiplicity, "SGS DD Model - Create Multiplicity Scaling")); PetscCallCeed(ceed, CeedOperatorSetField(op_multiplicity, "multiplicity", ceed_data->elem_restr_q, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_multiplicity, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorApply(op_multiplicity, multiplicity, inv_multiplicity, CEED_REQUEST_IMMEDIATE)); // -- Create operator for SGS DD model nodal evaluation switch (user->phys->state_var) { case STATEVAR_PRIMITIVE: PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Prim, ComputeSgsDDNodal_Prim_loc, &qf_sgs_dd_nodal)); break; case STATEVAR_CONSERVATIVE: PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Conserv, ComputeSgsDDNodal_Conserv_loc, &qf_sgs_dd_nodal)); break; default: SETERRQ(PetscObjectComm((PetscObject)user->dm), PETSC_ERR_SUP, "Data-driven SGS nodal evaluation not available for chosen state variable"); } // Mesh/geometry order and solution basis order may differ, therefore must interpolate CeedBasis basis_x_to_q; PetscCallCeed(ceed, CeedBasisCreateProjection(ceed_data->basis_x, ceed_data->basis_q, &basis_x_to_q)); PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_nodal, sgs_dd_setup_data->sgsdd_qfctx)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "q", num_comp_q, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "x", num_comp_x, CEED_EVAL_INTERP)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "inverse multiplicity", 1, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_nodal, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_nodal, NULL, NULL, &op_sgs_dd_nodal)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "q", ceed_data->elem_restr_q, CEED_BASIS_NONE, user->q_ceed)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "x", ceed_data->elem_restr_x, basis_x_to_q, ceed_data->x_coord)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, sgs_dd_setup_data->grid_aniso_ceed)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 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, NULL, &sgs_dd_data->op_nodal_evaluation_ctx)); sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Fused; PetscCallCeed(ceed, CeedVectorDestroy(&multiplicity)); PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); PetscCallCeed(ceed, CeedBasisDestroy(&basis_x_to_q)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_multiplicity)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_nodal)); PetscCallCeed(ceed, CeedOperatorDestroy(&op_multiplicity)); PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_nodal)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Setup data-driven model inference using internal (libCEED native) implementation static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential_Internal(Ceed ceed, SgsDDData sgs_dd_data, SgsDDSetupData sgs_dd_setup_data, CeedElemRestriction elem_restr_dd_inputs, CeedElemRestriction elem_restr_dd_outputs, CeedElemRestriction elem_restr_inv_multiplicity, CeedVector inv_multiplicity, void **ctx) { CeedQFunction qf_sgs_dd_inference; CeedOperator op_sgs_dd_inference; OperatorApplyContext *op_context = (OperatorApplyContext *)ctx; PetscFunctionBeginUser; PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inference, ComputeSgsDDNodal_Sequential_Inference_loc, &qf_sgs_dd_inference)); PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inference, sgs_dd_setup_data->sgsdd_qfctx)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inference, "inverse multiplicity", 1, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inference, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inference, NULL, NULL, &op_sgs_dd_inference)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inference, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCall(OperatorApplyContextCreate(sgs_dd_data->dm_dd_inputs, sgs_dd_data->dm_dd_outputs, ceed, op_sgs_dd_inference, NULL, NULL, NULL, NULL, op_context)); sgs_dd_data->sgs_nodal_inference_ctx_destroy = (PetscErrorCode(*)(void *))OperatorApplyContextDestroy; PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inference)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inference)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Perform data-driven model inference using internal (libCEED native) implementation PetscErrorCode SgsDDNodalStressEval_Sequential_Internal(Vec DD_Inputs_loc, Vec DD_Outputs_loc, void *ctx) { OperatorApplyContext op_context = *(OperatorApplyContext *)ctx; PetscFunctionBeginUser; PetscCall(ApplyCeedOperatorLocalToLocal(DD_Inputs_loc, DD_Outputs_loc, op_context)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Evaluate data-driven SGS using sequential method PetscErrorCode SgsDDNodalStressEval_Sequential(User user, Vec Q_loc, Vec VelocityGradient, Vec SGSNodal_loc) { SgsDDData sgs_dd_data = user->sgs_dd_data; PetscMemType q_mem_type; Vec DD_Inputs_loc, DD_Outputs_loc; PetscFunctionBeginUser; PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); PetscCall(DMGetLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); PetscCall(VecP2C(Q_loc, &q_mem_type, user->q_ceed)); // q_ceed is an implicit input PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, DD_Inputs_loc, sgs_dd_data->op_nodal_dd_inputs_ctx)); PetscCall(sgs_dd_data->sgs_nodal_inference(DD_Inputs_loc, DD_Outputs_loc, &sgs_dd_data->sgs_nodal_inference_ctx)); PetscCall(ApplyCeedOperatorLocalToLocal(DD_Outputs_loc, SGSNodal_loc, sgs_dd_data->op_nodal_dd_outputs_ctx)); PetscCall(VecC2P(user->q_ceed, q_mem_type, Q_loc)); PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_inputs, &DD_Inputs_loc)); PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_dd_outputs, &DD_Outputs_loc)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Create CeedOperator to calculate data-drive SGS at nodes using sequentially-applied operators static PetscErrorCode SgsDDSetupNodalEvaluation_Sequential(Ceed ceed, User user, CeedData ceed_data, SgsDDSetupData sgs_dd_setup_data) { SgsDDData sgs_dd_data = user->sgs_dd_data; CeedInt num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso, num_comp_eigvec = 9 + 1; PetscInt dim; CeedVector inv_multiplicity, eigvec; CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs, elem_restr_eigvec, elem_restr_dd_inputs, elem_restr_dd_outputs; DMLabel domain_label = NULL; PetscInt label_value = 0, height = 0, dm_field = 0; PetscFunctionBeginUser; { // Create DMs for data-driven input and output values PetscSection section; PetscInt degree, q_extra; { // Get degree and number of quadrature points from dm_sgs PetscFE fe; PetscSpace basis; PetscQuadrature quadrature; PetscInt num_qpnts; PetscCall(DMGetField(sgs_dd_data->dm_sgs, 0, NULL, (PetscObject *)&fe)); PetscCall(PetscFEGetBasisSpace(fe, &basis)); PetscCall(PetscSpaceGetDegree(basis, °ree, NULL)); PetscCall(PetscFEGetQuadrature(fe, &quadrature)); PetscCall(PetscQuadratureGetOrder(quadrature, &num_qpnts)); q_extra = degree - num_qpnts; } PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_inputs)); PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_inputs, "Data-Driven Model Inputs")); PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_inputs, sgs_dd_data->dm_dd_inputs)); PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_inputs, §ion)); PetscCall(PetscSectionSetFieldName(section, 0, "")); for (CeedInt i = 0; i < sgs_dd_data->num_comp_inputs; i++) { char component_name[PETSC_MAX_PATH_LEN]; PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenInput%" CeedInt_FMT, i + 1)); PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); } PetscCall(DMClone(sgs_dd_data->dm_sgs, &sgs_dd_data->dm_dd_outputs)); PetscCall(PetscObjectSetName((PetscObject)sgs_dd_data->dm_dd_outputs, "Data-Driven Model Outputs")); PetscCall(DMSetupByOrder_FEM(PETSC_TRUE, PETSC_TRUE, degree, 1, q_extra, 1, &sgs_dd_data->num_comp_outputs, sgs_dd_data->dm_dd_outputs)); PetscCall(DMGetLocalSection(sgs_dd_data->dm_dd_outputs, §ion)); PetscCall(PetscSectionSetFieldName(section, 0, "")); for (CeedInt i = 0; i < sgs_dd_data->num_comp_outputs; i++) { char component_name[PETSC_MAX_PATH_LEN]; PetscCall(PetscSNPrintf(component_name, sizeof component_name, "DataDrivenOutput%" CeedInt_FMT, i + 1)); PetscCall(PetscSectionSetComponentName(section, 0, i, component_name)); } } PetscCall(DMGetDimension(user->dm, &dim)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso)); { // Get velocity gradient information CeedOperatorField op_field; PetscCallCeed(ceed, CeedOperatorGetFieldByName(user->grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field)); PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo)); PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_grad_velo, &sgs_dd_data->grad_velo_ceed, NULL)); } PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, dm_field, &elem_restr_sgs)); PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL)); PetscCall( DMPlexCeedElemRestrictionCollocatedCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, num_comp_eigvec, &elem_restr_eigvec)); PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_eigvec, &eigvec, NULL)); PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_dd_inputs, domain_label, label_value, height, dm_field, &elem_restr_dd_inputs)); PetscCall(DMPlexCeedElemRestrictionCreate(ceed, sgs_dd_data->dm_dd_outputs, domain_label, label_value, height, dm_field, &elem_restr_dd_outputs)); { // Create inverse multiplicity for correcting nodal assembly CeedQFunction qf_multiplicity; CeedOperator op_multiplicity; CeedVector multiplicity; PetscCallCeed(ceed, CeedElemRestrictionCreateVector(ceed_data->elem_restr_q, &multiplicity, NULL)); PetscCallCeed(ceed, CeedElemRestrictionGetMultiplicity(ceed_data->elem_restr_q, multiplicity)); PetscCall( DMPlexCeedElemRestrictionCollocatedCreate(ceed, sgs_dd_data->dm_sgs, domain_label, label_value, height, 1, &elem_restr_inv_multiplicity)); PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_inv_multiplicity, &inv_multiplicity, NULL)); PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, InverseMultiplicity, InverseMultiplicity_loc, &qf_multiplicity)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_multiplicity, "multiplicity", num_comp_q, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_multiplicity, "inverse multiplicity", 1, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_multiplicity, NULL, NULL, &op_multiplicity)); PetscCallCeed(ceed, CeedOperatorSetName(op_multiplicity, "SGS DD Model - Create Multiplicity Scaling")); PetscCallCeed(ceed, CeedOperatorSetField(op_multiplicity, "multiplicity", ceed_data->elem_restr_q, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_multiplicity, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorApply(op_multiplicity, multiplicity, inv_multiplicity, CEED_REQUEST_IMMEDIATE)); PetscCallCeed(ceed, CeedVectorDestroy(&multiplicity)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_multiplicity)); PetscCallCeed(ceed, CeedOperatorDestroy(&op_multiplicity)); } { // Create operator for data-driven input evaluation CeedQFunction qf_sgs_dd_inputs; CeedOperator op_sgs_dd_inputs; switch (user->phys->state_var) { case STATEVAR_PRIMITIVE: PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Prim, ComputeSgsDDNodal_Sequential_Inputs_Prim_loc, &qf_sgs_dd_inputs)); break; case STATEVAR_CONSERVATIVE: PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Inputs_Conserv, ComputeSgsDDNodal_Sequential_Inputs_Conserv_loc, &qf_sgs_dd_inputs)); break; default: SETERRQ(PetscObjectComm((PetscObject)user->dm), PETSC_ERR_SUP, "Data-driven SGS nodal input evaluation not available for chosen state variable"); } PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_inputs, sgs_dd_setup_data->sgsdd_qfctx)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "q", num_comp_q, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_inputs, "inverse multiplicity", 1, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inputs, "eigenvectors", num_comp_eigvec, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_inputs, "model inputs", sgs_dd_data->num_comp_inputs, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_inputs, NULL, NULL, &op_sgs_dd_inputs)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "q", ceed_data->elem_restr_q, CEED_BASIS_NONE, user->q_ceed)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, sgs_dd_setup_data->grid_aniso_ceed)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "eigenvectors", elem_restr_eigvec, CEED_BASIS_NONE, eigvec)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_inputs, "model inputs", elem_restr_dd_inputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCall(OperatorApplyContextCreate(user->grad_velo_proj->dm, sgs_dd_data->dm_dd_inputs, ceed, op_sgs_dd_inputs, NULL, NULL, NULL, NULL, &sgs_dd_data->op_nodal_dd_inputs_ctx)); PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_inputs)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_inputs)); } { // Create operator for data-driven output handling CeedQFunction qf_sgs_dd_outputs; CeedOperator op_sgs_dd_outputs; PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSgsDDNodal_Sequential_Outputs, ComputeSgsDDNodal_Sequential_Outputs_loc, &qf_sgs_dd_outputs)); PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_outputs, sgs_dd_setup_data->sgsdd_qfctx)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "model outputs", sgs_dd_data->num_comp_outputs, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "inverse multiplicity", 1, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_outputs, "eigenvectors", num_comp_eigvec, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_outputs, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_outputs, NULL, NULL, &op_sgs_dd_outputs)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "model outputs", elem_restr_dd_outputs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_NONE, sgs_dd_setup_data->grid_aniso_ceed)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_NONE, inv_multiplicity)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "eigenvectors", elem_restr_eigvec, CEED_BASIS_NONE, eigvec)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_outputs, "km_sgs", elem_restr_sgs, CEED_BASIS_NONE, CEED_VECTOR_ACTIVE)); 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, NULL, NULL, &sgs_dd_data->op_nodal_dd_outputs_ctx)); PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_outputs)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_outputs)); } sgs_dd_data->sgs_nodal_inference = SgsDDNodalStressEval_Sequential_Internal; sgs_dd_data->sgs_nodal_eval = SgsDDNodalStressEval_Sequential; PetscCall(SgsDDSetupNodalEvaluation_Sequential_Internal(ceed, sgs_dd_data, sgs_dd_setup_data, elem_restr_dd_inputs, elem_restr_dd_outputs, elem_restr_inv_multiplicity, inv_multiplicity, &sgs_dd_data->sgs_nodal_inference_ctx)); sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs; PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity)); PetscCallCeed(ceed, CeedVectorDestroy(&eigvec)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_eigvec)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_dd_inputs)); PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_dd_outputs)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Create CeedOperator to compute SGS contribution to the residual static PetscErrorCode SgsSetupNodalIFunction(Ceed ceed, User user, CeedData ceed_data, SgsDDSetupData sgs_dd_setup_data) { SgsDDData sgs_dd_data = user->sgs_dd_data; CeedInt num_comp_q, num_comp_qd, num_comp_x; PetscInt dim; CeedQFunction qf_sgs_apply; CeedOperator op_sgs_apply; CeedBasis basis_sgs; PetscFunctionBeginUser; PetscCall(DMGetDimension(user->dm, &dim)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_qd_i, &num_comp_qd)); PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x)); PetscCall(CreateBasisFromPlex(ceed, sgs_dd_data->dm_sgs, 0, 0, 0, 0, &basis_sgs)); switch (user->phys->state_var) { case STATEVAR_PRIMITIVE: PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Prim, IFunction_NodalSgs_Prim_loc, &qf_sgs_apply)); break; case STATEVAR_CONSERVATIVE: PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSgs_Conserv, IFunction_NodalSgs_Conserv_loc, &qf_sgs_apply)); break; default: SETERRQ(PetscObjectComm((PetscObject)user->dm), PETSC_ERR_SUP, "Nodal SGS evaluation not available for chosen state variable"); } PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_apply, sgs_dd_setup_data->ifunction_qfctx)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "q", num_comp_q, CEED_EVAL_INTERP)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "qdata", num_comp_qd, CEED_EVAL_NONE)); PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_INTERP)); PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_apply, "Grad_v", num_comp_q * dim, CEED_EVAL_GRAD)); PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_apply, NULL, NULL, &op_sgs_apply)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "q", ceed_data->elem_restr_q, ceed_data->basis_q, CEED_VECTOR_ACTIVE)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "qdata", ceed_data->elem_restr_qd_i, CEED_BASIS_NONE, ceed_data->q_data)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "km_sgs", sgs_dd_setup_data->elem_restr_sgs, basis_sgs, sgs_dd_data->sgs_nodal_ceed)); PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "Grad_v", ceed_data->elem_restr_q, ceed_data->basis_q, CEED_VECTOR_ACTIVE)); PetscCall( OperatorApplyContextCreate(user->dm, user->dm, ceed, op_sgs_apply, user->q_ceed, user->g_ceed, NULL, NULL, &sgs_dd_data->op_sgs_apply_ctx)); PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_apply)); PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_apply)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief Calculate and add data-driven SGS residual to the global residual PetscErrorCode SgsDDApplyIFunction(User user, const Vec Q_loc, Vec G_loc) { SgsDDData sgs_dd_data = user->sgs_dd_data; Vec VelocityGradient, SGSNodal_loc; PetscMemType sgs_nodal_mem_type; PetscFunctionBeginUser; PetscCall(DMGetGlobalVector(user->grad_velo_proj->dm, &VelocityGradient)); PetscCall(VelocityGradientProjectionApply(user->grad_velo_proj, Q_loc, VelocityGradient)); // -- Compute Nodal SGS tensor PetscCall(DMGetLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); PetscCall(sgs_dd_data->sgs_nodal_eval(user, Q_loc, VelocityGradient, SGSNodal_loc)); // -- Compute contribution of the SGS stress PetscCall(VecP2C(SGSNodal_loc, &sgs_nodal_mem_type, sgs_dd_data->sgs_nodal_ceed)); // sgs_nodal_ceed is an implicit input PetscCall(ApplyAddCeedOperatorLocalToLocal(Q_loc, G_loc, sgs_dd_data->op_sgs_apply_ctx)); // -- Return local SGS vector PetscCall(VecC2P(sgs_dd_data->sgs_nodal_ceed, sgs_nodal_mem_type, SGSNodal_loc)); PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc)); PetscCall(DMRestoreGlobalVector(user->grad_velo_proj->dm, &VelocityGradient)); PetscFunctionReturn(PETSC_SUCCESS); } // @brief B = A^T, A is NxM, B is MxN static PetscErrorCode TransposeMatrix(const PetscScalar *A, PetscScalar *B, const PetscInt N, const PetscInt M) { PetscFunctionBeginUser; for (PetscInt i = 0; i < N; i++) { for (PetscInt j = 0; j < M; j++) { B[j * N + i] = A[i * M + j]; } } PetscFunctionReturn(PETSC_SUCCESS); } // @brief Read neural network coefficients from file and put into context struct static PetscErrorCode SgsDDContextFill(MPI_Comm comm, char data_dir[PETSC_MAX_PATH_LEN], SgsDDContext *psgsdd_ctx) { SgsDDContext sgsdd_ctx; PetscInt num_inputs = (*psgsdd_ctx)->num_inputs, num_outputs = (*psgsdd_ctx)->num_outputs, num_neurons = (*psgsdd_ctx)->num_neurons; char file_path[PETSC_MAX_PATH_LEN]; PetscScalar *temp; PetscFunctionBeginUser; { SgsDDContext sgsdd_temp; PetscCall(PetscNew(&sgsdd_temp)); *sgsdd_temp = **psgsdd_ctx; sgsdd_temp->offsets.bias1 = 0; sgsdd_temp->offsets.bias2 = sgsdd_temp->offsets.bias1 + num_neurons; sgsdd_temp->offsets.weight1 = sgsdd_temp->offsets.bias2 + num_neurons; sgsdd_temp->offsets.weight2 = sgsdd_temp->offsets.weight1 + num_neurons * num_inputs; sgsdd_temp->offsets.out_scaling = sgsdd_temp->offsets.weight2 + num_inputs * num_neurons; PetscInt total_num_scalars = sgsdd_temp->offsets.out_scaling + 2 * num_outputs; sgsdd_temp->total_bytes = sizeof(*sgsdd_ctx) + total_num_scalars * sizeof(sgsdd_ctx->data[0]); PetscCall(PetscMalloc(sgsdd_temp->total_bytes, &sgsdd_ctx)); *sgsdd_ctx = *sgsdd_temp; PetscCall(PetscFree(sgsdd_temp)); } PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b1.dat")); PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias1])); PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b2.dat")); PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias2])); PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "OutScaling.dat")); PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.out_scaling])); { PetscCall(PetscMalloc1(num_inputs * num_neurons, &temp)); PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w1.dat")); PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight1], num_inputs, num_neurons)); PetscCall(PetscFree(temp)); } { PetscCall(PetscMalloc1(num_outputs * num_neurons, &temp)); PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w2.dat")); PetscCall(PhastaDatFileReadToArrayReal(comm, file_path, temp)); PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight2], num_neurons, num_outputs)); PetscCall(PetscFree(temp)); } PetscCall(PetscFree(*psgsdd_ctx)); *psgsdd_ctx = sgsdd_ctx; PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode SgsDDSetup(Ceed ceed, User user, CeedData ceed_data, ProblemData *problem) { PetscReal alpha = 0; SgsDDContext sgsdd_ctx; MPI_Comm comm = user->comm; char sgs_dd_dir[PETSC_MAX_PATH_LEN] = "./dd_sgs_parameters"; SgsDDSetupData sgs_dd_setup_data; PetscBool use_fused; NewtonianIdealGasContext gas; PetscFunctionBeginUser; PetscCall(VelocityGradientProjectionSetup(ceed, user, ceed_data, problem, user->phys->state_var, ceed_data->elem_restr_q, ceed_data->basis_q, &user->grad_velo_proj)); PetscCall(PetscNew(&user->sgs_dd_data)); user->sgs_dd_data->num_comp_inputs = 6; user->sgs_dd_data->num_comp_outputs = 6; use_fused = PETSC_TRUE; PetscOptionsBegin(comm, NULL, "SGS Data-Driven Model Options", NULL); PetscCall(PetscOptionsReal("-sgs_model_dd_leakyrelu_alpha", "Slope parameter for Leaky ReLU activation function", NULL, alpha, &alpha, NULL)); PetscCall(PetscOptionsString("-sgs_model_dd_parameter_dir", "Path to directory with model parameters (weights, biases, etc.)", NULL, sgs_dd_dir, sgs_dd_dir, sizeof(sgs_dd_dir), NULL)); PetscCall( PetscOptionsBool("-sgs_model_dd_use_fused", "Use the fused SGS DD model evaluation instead of sequential", NULL, use_fused, &use_fused, NULL)); PetscOptionsEnd(); PetscCall(PetscNew(&sgsdd_ctx)); sgsdd_ctx->num_layers = 1; sgsdd_ctx->num_inputs = 6; sgsdd_ctx->num_outputs = 6; sgsdd_ctx->num_neurons = 20; sgsdd_ctx->alpha = alpha; PetscCall(SgsDDContextFill(comm, sgs_dd_dir, &sgsdd_ctx)); // -- Create DM for storing SGS tensor at nodes 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)); PetscCall(PetscNew(&sgs_dd_setup_data)); PetscCallCeed(ceed, CeedQFunctionContextGetDataRead(problem->apply_vol_ifunction.qfunction_context, CEED_MEM_HOST, &gas)); sgsdd_ctx->gas = *gas; PetscCallCeed(ceed, CeedQFunctionContextRestoreDataRead(problem->apply_vol_ifunction.qfunction_context, &gas)); PetscCallCeed(ceed, CeedQFunctionContextCreate(user->ceed, &sgs_dd_setup_data->sgsdd_qfctx)); PetscCallCeed(ceed, CeedQFunctionContextSetData(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, CEED_USE_POINTER, sgsdd_ctx->total_bytes, sgsdd_ctx)); PetscCallCeed(ceed, CeedQFunctionContextSetDataDestroy(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, FreeContextPetsc)); PetscCallCeed(ceed, CeedQFunctionContextReferenceCopy(problem->apply_vol_ifunction.qfunction_context, &sgs_dd_setup_data->ifunction_qfctx)); // -- Compute and store anisotropy tensor PetscCall(GridAnisotropyTensorProjectionSetupApply(ceed, user, ceed_data, &sgs_dd_setup_data->elem_restr_grid_aniso, &sgs_dd_setup_data->grid_aniso_ceed)); // -- Create Nodal Evaluation Operator if (use_fused) PetscCall(SgsDDSetupNodalEvaluation_Fused(ceed, user, ceed_data, sgs_dd_setup_data)); else PetscCall(SgsDDSetupNodalEvaluation_Sequential(ceed, user, ceed_data, sgs_dd_setup_data)); // -- Create Operator to evalutate residual of SGS stress PetscCall(SgsSetupNodalIFunction(ceed, user, ceed_data, sgs_dd_setup_data)); PetscCall(SgsDDSetupDataDestroy(sgs_dd_setup_data)); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode SgsDDDataDestroy(SgsDDData sgs_dd_data) { PetscFunctionBeginUser; if (!sgs_dd_data) PetscFunctionReturn(PETSC_SUCCESS); Ceed ceed = sgs_dd_data->op_sgs_apply_ctx->ceed; PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->sgs_nodal_ceed)); PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->grad_velo_ceed)); PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_evaluation_ctx)); PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_sgs_apply_ctx)); PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_dd_inputs_ctx)); PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_dd_outputs_ctx)); PetscCall(DMDestroy(&sgs_dd_data->dm_sgs)); PetscCall(DMDestroy(&sgs_dd_data->dm_dd_inputs)); PetscCall(DMDestroy(&sgs_dd_data->dm_dd_outputs)); if (sgs_dd_data->sgs_nodal_inference_ctx) PetscCall(sgs_dd_data->sgs_nodal_inference_ctx_destroy(sgs_dd_data->sgs_nodal_inference_ctx)); PetscCall(PetscFree(sgs_dd_data)); PetscFunctionReturn(PETSC_SUCCESS); }