xref: /honee/problems/sgs_dd_model.c (revision b4c37c5c26bd208d7f474cbd9aa0850e82e1a854)
1 // Copyright (c) 2017-2023, 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 
14 typedef struct {
15   CeedElemRestriction  elem_restr_grid_aniso, elem_restr_sgs;
16   CeedVector           grid_aniso_ceed;
17   CeedQFunctionContext sgsdd_qfctx;
18 } *SGS_DD_ModelSetupData;
19 
20 PetscErrorCode SGS_DD_ModelSetupDataDestroy(SGS_DD_ModelSetupData sgs_dd_setup_data) {
21   Ceed ceed;
22 
23   PetscFunctionBeginUser;
24   PetscCall(CeedElemRestrictionGetCeed(sgs_dd_setup_data->elem_restr_sgs, &ceed));
25   PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_grid_aniso));
26   PetscCallCeed(ceed, CeedElemRestrictionDestroy(&sgs_dd_setup_data->elem_restr_sgs));
27   PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_setup_data->grid_aniso_ceed));
28   PetscCallCeed(ceed, CeedQFunctionContextDestroy(&sgs_dd_setup_data->sgsdd_qfctx));
29 
30   PetscCall(PetscFree(sgs_dd_setup_data));
31   PetscFunctionReturn(PETSC_SUCCESS);
32 }
33 
34 // @brief Create DM for storing subgrid stress at nodes
35 PetscErrorCode SGS_DD_ModelCreateDM(DM dm_source, DM *dm_sgs, PetscInt degree, PetscInt q_extra, PetscInt *num_components) {
36   PetscFE      fe;
37   PetscSection section;
38   PetscInt     dim;
39 
40   PetscFunctionBeginUser;
41   *num_components  = 6;
42   PetscInt q_order = degree + q_extra;
43 
44   PetscCall(DMClone(dm_source, dm_sgs));
45   PetscCall(DMGetDimension(*dm_sgs, &dim));
46   PetscCall(PetscObjectSetName((PetscObject)*dm_sgs, "Subgrid Stress Projection"));
47 
48   PetscCall(PetscFECreateLagrange(PETSC_COMM_SELF, dim, *num_components, PETSC_FALSE, degree, q_order, &fe));
49   PetscCall(PetscObjectSetName((PetscObject)fe, "Subgrid Stress Projection"));
50   PetscCall(DMAddField(*dm_sgs, NULL, (PetscObject)fe));
51   PetscCall(DMCreateDS(*dm_sgs));
52   PetscCall(DMPlexSetClosurePermutationTensor(*dm_sgs, PETSC_DETERMINE, NULL));
53 
54   PetscCall(DMGetLocalSection(*dm_sgs, &section));
55   PetscCall(PetscSectionSetFieldName(section, 0, ""));
56   PetscCall(PetscSectionSetComponentName(section, 0, 0, "KMSubgridStressXX"));
57   PetscCall(PetscSectionSetComponentName(section, 0, 1, "KMSubgridStressYY"));
58   PetscCall(PetscSectionSetComponentName(section, 0, 2, "KMSubgridStressZZ"));
59   PetscCall(PetscSectionSetComponentName(section, 0, 3, "KMSubgridStressYZ"));
60   PetscCall(PetscSectionSetComponentName(section, 0, 4, "KMSubgridStressXZ"));
61   PetscCall(PetscSectionSetComponentName(section, 0, 5, "KMSubgridStressXY"));
62 
63   PetscCall(PetscFEDestroy(&fe));
64 
65   PetscFunctionReturn(PETSC_SUCCESS);
66 };
67 
68 // @brief Create CeedOperator to calculate data-drive SGS at nodes
69 PetscErrorCode SGS_DD_ModelSetupNodalEvaluation(Ceed ceed, User user, CeedData ceed_data, SGS_DD_ModelSetupData sgs_dd_setup_data) {
70   SGS_DD_Data         sgs_dd_data = user->sgs_dd_data;
71   CeedQFunction       qf_multiplicity, qf_sgs_dd_nodal;
72   CeedOperator        op_multiplicity, op_sgs_dd_nodal;
73   CeedInt             num_elem, elem_size, num_comp_q, num_comp_grad_velo, num_comp_x, num_comp_grid_aniso;
74   PetscInt            dim;
75   CeedVector          multiplicity, inv_multiplicity;
76   CeedElemRestriction elem_restr_inv_multiplicity, elem_restr_grad_velo, elem_restr_sgs;
77 
78   PetscFunctionBeginUser;
79   PetscCall(DMGetDimension(user->dm, &dim));
80   PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x));
81   PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q));
82   PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(sgs_dd_setup_data->elem_restr_grid_aniso, &num_comp_grid_aniso));
83   PetscCallCeed(ceed, CeedElemRestrictionGetNumElements(ceed_data->elem_restr_q, &num_elem));
84   PetscCallCeed(ceed, CeedElemRestrictionGetElementSize(ceed_data->elem_restr_q, &elem_size));
85 
86   {  // Get velocity gradient information
87     CeedOperatorField op_field;
88     PetscCallCeed(ceed, CeedOperatorGetFieldByName(user->grad_velo_proj->l2_rhs_ctx->op, "velocity gradient", &op_field));
89     PetscCallCeed(ceed, CeedOperatorFieldGetElemRestriction(op_field, &elem_restr_grad_velo));
90     PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(elem_restr_grad_velo, &num_comp_grad_velo));
91   }
92   PetscCall(GetRestrictionForDomain(ceed, sgs_dd_data->dm_sgs, 0, 0, 0, 0, -1, 0, &elem_restr_sgs, NULL, NULL));
93   PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_sgs, &sgs_dd_data->sgs_nodal_ceed, NULL));
94 
95   // -- Create inverse multiplicity for correcting nodal assembly
96   PetscCallCeed(ceed, CeedElemRestrictionCreateVector(ceed_data->elem_restr_q, &multiplicity, NULL));
97   PetscCallCeed(ceed, CeedElemRestrictionGetMultiplicity(ceed_data->elem_restr_q, multiplicity));
98   PetscCallCeed(
99       ceed, CeedElemRestrictionCreateStrided(ceed, num_elem, elem_size, 1, num_elem * elem_size, CEED_STRIDES_BACKEND, &elem_restr_inv_multiplicity));
100   PetscCallCeed(ceed, CeedElemRestrictionCreateVector(elem_restr_inv_multiplicity, &inv_multiplicity, NULL));
101 
102   PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, InverseMultiplicity, InverseMultiplicity_loc, &qf_multiplicity));
103   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_multiplicity, "multiplicity", num_comp_q, CEED_EVAL_NONE));
104   PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_multiplicity, "inverse multiplicity", 1, CEED_EVAL_NONE));
105 
106   PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_multiplicity, NULL, NULL, &op_multiplicity));
107   PetscCallCeed(ceed, CeedOperatorSetName(op_multiplicity, "SGS DD Model - Create Multiplicity Scaling"));
108   PetscCallCeed(ceed, CeedOperatorSetField(op_multiplicity, "multiplicity", ceed_data->elem_restr_q, CEED_BASIS_COLLOCATED, CEED_VECTOR_ACTIVE));
109   PetscCallCeed(
110       ceed, CeedOperatorSetField(op_multiplicity, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_COLLOCATED, CEED_VECTOR_ACTIVE));
111 
112   PetscCallCeed(ceed, CeedOperatorApply(op_multiplicity, multiplicity, inv_multiplicity, CEED_REQUEST_IMMEDIATE));
113 
114   // -- Create operator for SGS DD model nodal evaluation
115   switch (user->phys->state_var) {
116     case STATEVAR_PRIMITIVE:
117       PetscCallCeed(
118           ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSGS_DDAnisotropicNodal_Prim, ComputeSGS_DDAnisotropicNodal_Prim_loc, &qf_sgs_dd_nodal));
119       break;
120     case STATEVAR_CONSERVATIVE:
121       PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, ComputeSGS_DDAnisotropicNodal_Conserv, ComputeSGS_DDAnisotropicNodal_Conserv_loc,
122                                                       &qf_sgs_dd_nodal));
123       break;
124     default:
125       SETERRQ(PetscObjectComm((PetscObject)user->dm), PETSC_ERR_SUP,
126               "Anisotropic data-driven SGS nodal evaluation not available for chosen state variable");
127   }
128 
129   // Mesh/geometry order and solution basis order may differ, therefore must interpolate
130   CeedBasis basis_x_to_q;
131   PetscCallCeed(ceed, CeedBasisCreateProjection(ceed_data->basis_x, ceed_data->basis_q, &basis_x_to_q));
132 
133   PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_dd_nodal, sgs_dd_setup_data->sgsdd_qfctx));
134   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "q", num_comp_q, CEED_EVAL_NONE));
135   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "x", num_comp_x, CEED_EVAL_INTERP));
136   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "gradient velocity", num_comp_grad_velo, CEED_EVAL_NONE));
137   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "anisotropy tensor", num_comp_grid_aniso, CEED_EVAL_NONE));
138   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_dd_nodal, "inverse multiplicity", 1, CEED_EVAL_NONE));
139   PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_dd_nodal, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_NONE));
140 
141   PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_dd_nodal, NULL, NULL, &op_sgs_dd_nodal));
142   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "q", ceed_data->elem_restr_q, CEED_BASIS_COLLOCATED, user->q_ceed));
143   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "x", ceed_data->elem_restr_x, basis_x_to_q, ceed_data->x_coord));
144   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "gradient velocity", elem_restr_grad_velo, CEED_BASIS_COLLOCATED, CEED_VECTOR_ACTIVE));
145   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "anisotropy tensor", sgs_dd_setup_data->elem_restr_grid_aniso, CEED_BASIS_COLLOCATED,
146                                            sgs_dd_setup_data->grid_aniso_ceed));
147   PetscCallCeed(ceed,
148                 CeedOperatorSetField(op_sgs_dd_nodal, "inverse multiplicity", elem_restr_inv_multiplicity, CEED_BASIS_COLLOCATED, inv_multiplicity));
149   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_dd_nodal, "km_sgs", elem_restr_sgs, CEED_BASIS_COLLOCATED, CEED_VECTOR_ACTIVE));
150 
151   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,
152                                        NULL, &sgs_dd_data->op_nodal_evaluation_ctx));
153 
154   sgs_dd_setup_data->elem_restr_sgs = elem_restr_sgs;
155 
156   PetscCallCeed(ceed, CeedVectorDestroy(&multiplicity));
157   PetscCallCeed(ceed, CeedVectorDestroy(&inv_multiplicity));
158   PetscCallCeed(ceed, CeedBasisDestroy(&basis_x_to_q));
159   PetscCallCeed(ceed, CeedElemRestrictionDestroy(&elem_restr_inv_multiplicity));
160   PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_multiplicity));
161   PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_dd_nodal));
162   PetscCallCeed(ceed, CeedOperatorDestroy(&op_multiplicity));
163   PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_dd_nodal));
164   PetscFunctionReturn(PETSC_SUCCESS);
165 }
166 
167 // @brief Create CeedOperator to compute SGS contribution to the residual
168 PetscErrorCode SGS_ModelSetupNodalIFunction(Ceed ceed, User user, CeedData ceed_data, SGS_DD_ModelSetupData sgs_dd_setup_data) {
169   SGS_DD_Data   sgs_dd_data = user->sgs_dd_data;
170   CeedInt       num_comp_q, num_comp_qd, num_comp_x;
171   PetscInt      dim;
172   CeedQFunction qf_sgs_apply;
173   CeedOperator  op_sgs_apply;
174   CeedBasis     basis_sgs;
175 
176   PetscFunctionBeginUser;
177   PetscCall(DMGetDimension(user->dm, &dim));
178   PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_q, &num_comp_q));
179   PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_qd_i, &num_comp_qd));
180   PetscCallCeed(ceed, CeedElemRestrictionGetNumComponents(ceed_data->elem_restr_x, &num_comp_x));
181 
182   PetscCall(CreateBasisFromPlex(ceed, sgs_dd_data->dm_sgs, 0, 0, 0, 0, &basis_sgs));
183 
184   switch (user->phys->state_var) {
185     case STATEVAR_PRIMITIVE:
186       PetscCallCeed(ceed,
187                     CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSubgridStress_Prim, IFunction_NodalSubgridStress_Prim_loc, &qf_sgs_apply));
188       break;
189     case STATEVAR_CONSERVATIVE:
190       PetscCallCeed(
191           ceed, CeedQFunctionCreateInterior(ceed, 1, IFunction_NodalSubgridStress_Conserv, IFunction_NodalSubgridStress_Conserv_loc, &qf_sgs_apply));
192       break;
193     default:
194       SETERRQ(PetscObjectComm((PetscObject)user->dm), PETSC_ERR_SUP, "Nodal SGS evaluation not available for chosen state variable");
195   }
196 
197   PetscCallCeed(ceed, CeedQFunctionSetContext(qf_sgs_apply, sgs_dd_setup_data->sgsdd_qfctx));
198   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "q", num_comp_q, CEED_EVAL_INTERP));
199   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "qdata", num_comp_qd, CEED_EVAL_NONE));
200   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "x", num_comp_x, CEED_EVAL_INTERP));
201   PetscCallCeed(ceed, CeedQFunctionAddInput(qf_sgs_apply, "km_sgs", sgs_dd_data->num_comp_sgs, CEED_EVAL_INTERP));
202   PetscCallCeed(ceed, CeedQFunctionAddOutput(qf_sgs_apply, "Grad_v", num_comp_q * dim, CEED_EVAL_GRAD));
203 
204   PetscCallCeed(ceed, CeedOperatorCreate(ceed, qf_sgs_apply, NULL, NULL, &op_sgs_apply));
205   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "q", ceed_data->elem_restr_q, ceed_data->basis_q, CEED_VECTOR_ACTIVE));
206   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "qdata", ceed_data->elem_restr_qd_i, CEED_BASIS_COLLOCATED, ceed_data->q_data));
207   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "x", ceed_data->elem_restr_x, ceed_data->basis_x, ceed_data->x_coord));
208   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "km_sgs", sgs_dd_setup_data->elem_restr_sgs, basis_sgs, sgs_dd_data->sgs_nodal_ceed));
209   PetscCallCeed(ceed, CeedOperatorSetField(op_sgs_apply, "Grad_v", ceed_data->elem_restr_q, ceed_data->basis_q, CEED_VECTOR_ACTIVE));
210 
211   PetscCall(
212       OperatorApplyContextCreate(user->dm, user->dm, ceed, op_sgs_apply, user->q_ceed, user->g_ceed, NULL, NULL, &sgs_dd_data->op_sgs_apply_ctx));
213 
214   PetscCallCeed(ceed, CeedOperatorDestroy(&op_sgs_apply));
215   PetscCallCeed(ceed, CeedQFunctionDestroy(&qf_sgs_apply));
216   PetscFunctionReturn(PETSC_SUCCESS);
217 }
218 
219 // @brief Calculate and add data-driven SGS residual to the global residual
220 PetscErrorCode SGS_DD_ModelApplyIFunction(User user, const Vec Q_loc, Vec G_loc) {
221   SGS_DD_Data  sgs_dd_data = user->sgs_dd_data;
222   Vec          VelocityGradient, SGSNodal_loc;
223   PetscMemType sgs_nodal_mem_type, q_mem_type;
224 
225   PetscFunctionBeginUser;
226   PetscCall(DMGetGlobalVector(user->grad_velo_proj->dm, &VelocityGradient));
227   PetscCall(VelocityGradientProjectionApply(user, Q_loc, VelocityGradient));
228 
229   // -- Compute Nodal SGS tensor
230   PetscCall(DMGetLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc));
231   PetscCall(VecP2C(Q_loc, &q_mem_type, user->q_ceed));  // q_ceed is an implicit input
232 
233   PetscCall(ApplyCeedOperatorGlobalToLocal(VelocityGradient, SGSNodal_loc, sgs_dd_data->op_nodal_evaluation_ctx));
234 
235   PetscCall(VecC2P(user->q_ceed, q_mem_type, Q_loc));
236   PetscCall(VecP2C(SGSNodal_loc, &sgs_nodal_mem_type, sgs_dd_data->sgs_nodal_ceed));  // sgs_nodal_ceed is an implicit input
237 
238   // -- Compute contribution of the SGS stress
239   PetscCall(ApplyAddCeedOperatorLocalToLocal(Q_loc, G_loc, sgs_dd_data->op_sgs_apply_ctx));
240 
241   // -- Return local SGS vector
242   PetscCall(VecC2P(sgs_dd_data->sgs_nodal_ceed, sgs_nodal_mem_type, SGSNodal_loc));
243   PetscCall(DMRestoreLocalVector(sgs_dd_data->dm_sgs, &SGSNodal_loc));
244   PetscCall(DMRestoreGlobalVector(user->grad_velo_proj->dm, &VelocityGradient));
245 
246   PetscFunctionReturn(PETSC_SUCCESS);
247 }
248 
249 // @brief B = A^T, A is NxM, B is MxN
250 PetscErrorCode TransposeMatrix(const PetscScalar *A, PetscScalar *B, const PetscInt N, const PetscInt M) {
251   PetscFunctionBeginUser;
252   for (PetscInt i = 0; i < N; i++) {
253     for (PetscInt j = 0; j < M; j++) {
254       B[j * N + i] = A[i * M + j];
255     }
256   }
257   PetscFunctionReturn(PETSC_SUCCESS);
258 }
259 
260 // @brief Read neural network coefficients from file and put into context struct
261 PetscErrorCode SGS_DD_ModelContextFill(MPI_Comm comm, char data_dir[PETSC_MAX_PATH_LEN], SGS_DDModelContext *psgsdd_ctx) {
262   SGS_DDModelContext sgsdd_ctx;
263   PetscInt           num_inputs = (*psgsdd_ctx)->num_inputs, num_outputs = (*psgsdd_ctx)->num_outputs, num_neurons = (*psgsdd_ctx)->num_neurons;
264   char               file_path[PETSC_MAX_PATH_LEN];
265   PetscScalar       *temp;
266 
267   PetscFunctionBeginUser;
268   {
269     SGS_DDModelContext sgsdd_temp;
270     PetscCall(PetscNew(&sgsdd_temp));
271     *sgsdd_temp                     = **psgsdd_ctx;
272     sgsdd_temp->offsets.bias1       = 0;
273     sgsdd_temp->offsets.bias2       = sgsdd_temp->offsets.bias1 + num_neurons;
274     sgsdd_temp->offsets.weight1     = sgsdd_temp->offsets.bias2 + num_neurons;
275     sgsdd_temp->offsets.weight2     = sgsdd_temp->offsets.weight1 + num_neurons * num_inputs;
276     sgsdd_temp->offsets.out_scaling = sgsdd_temp->offsets.weight2 + num_inputs * num_neurons;
277     PetscInt total_num_scalars      = sgsdd_temp->offsets.out_scaling + 2 * num_outputs;
278     sgsdd_temp->total_bytes         = sizeof(*sgsdd_ctx) + total_num_scalars * sizeof(sgsdd_ctx->data[0]);
279     PetscCall(PetscMalloc(sgsdd_temp->total_bytes, &sgsdd_ctx));
280     *sgsdd_ctx = *sgsdd_temp;
281     PetscCall(PetscFree(sgsdd_temp));
282   }
283 
284   PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b1.dat"));
285   PetscCall(PHASTADatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias1]));
286   PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "b2.dat"));
287   PetscCall(PHASTADatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.bias2]));
288   PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "OutScaling.dat"));
289   PetscCall(PHASTADatFileReadToArrayReal(comm, file_path, &sgsdd_ctx->data[sgsdd_ctx->offsets.out_scaling]));
290 
291   {
292     PetscCall(PetscMalloc1(num_inputs * num_neurons, &temp));
293     PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w1.dat"));
294     PetscCall(PHASTADatFileReadToArrayReal(comm, file_path, temp));
295     PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight1], num_inputs, num_neurons));
296     PetscCall(PetscFree(temp));
297   }
298   {
299     PetscCall(PetscMalloc1(num_outputs * num_neurons, &temp));
300     PetscCall(PetscSNPrintf(file_path, sizeof file_path, "%s/%s", data_dir, "w2.dat"));
301     PetscCall(PHASTADatFileReadToArrayReal(comm, file_path, temp));
302     PetscCall(TransposeMatrix(temp, &sgsdd_ctx->data[sgsdd_ctx->offsets.weight2], num_neurons, num_outputs));
303     PetscCall(PetscFree(temp));
304   }
305 
306   PetscCall(PetscFree(*psgsdd_ctx));
307   *psgsdd_ctx = sgsdd_ctx;
308   PetscFunctionReturn(PETSC_SUCCESS);
309 }
310 
311 PetscErrorCode SGS_DD_ModelSetup(Ceed ceed, User user, CeedData ceed_data, ProblemData *problem) {
312   PetscReal                alpha = 0;
313   SGS_DDModelContext       sgsdd_ctx;
314   MPI_Comm                 comm                           = user->comm;
315   char                     sgs_dd_dir[PETSC_MAX_PATH_LEN] = "./dd_sgs_parameters";
316   SGS_DD_ModelSetupData    sgs_dd_setup_data;
317   NewtonianIdealGasContext gas;
318   PetscFunctionBeginUser;
319 
320   PetscCall(VelocityGradientProjectionSetup(ceed, user, ceed_data, problem));
321 
322   PetscCall(PetscNew(&sgsdd_ctx));
323 
324   PetscOptionsBegin(comm, NULL, "SGS Data-Driven Model Options", NULL);
325   PetscCall(PetscOptionsReal("-sgs_model_dd_leakyrelu_alpha", "Slope parameter for Leaky ReLU activation function", NULL, alpha, &alpha, NULL));
326   PetscCall(PetscOptionsString("-sgs_model_dd_parameter_dir", "Path to directory with model parameters (weights, biases, etc.)", NULL, sgs_dd_dir,
327                                sgs_dd_dir, sizeof(sgs_dd_dir), NULL));
328   PetscOptionsEnd();
329 
330   sgsdd_ctx->num_layers  = 1;
331   sgsdd_ctx->num_inputs  = 6;
332   sgsdd_ctx->num_outputs = 6;
333   sgsdd_ctx->num_neurons = 20;
334   sgsdd_ctx->alpha       = alpha;
335 
336   PetscCall(SGS_DD_ModelContextFill(comm, sgs_dd_dir, &sgsdd_ctx));
337 
338   // -- Create DM for storing SGS tensor at nodes
339   PetscCall(PetscNew(&user->sgs_dd_data));
340   PetscCall(
341       SGS_DD_ModelCreateDM(user->dm, &user->sgs_dd_data->dm_sgs, user->app_ctx->degree, user->app_ctx->q_extra, &user->sgs_dd_data->num_comp_sgs));
342 
343   PetscCall(PetscNew(&sgs_dd_setup_data));
344 
345   PetscCallCeed(ceed, CeedQFunctionContextGetDataRead(problem->apply_vol_ifunction.qfunction_context, CEED_MEM_HOST, &gas));
346   sgsdd_ctx->gas = *gas;
347   PetscCallCeed(ceed, CeedQFunctionContextRestoreDataRead(problem->apply_vol_ifunction.qfunction_context, &gas));
348   PetscCallCeed(ceed, CeedQFunctionContextCreate(user->ceed, &sgs_dd_setup_data->sgsdd_qfctx));
349   PetscCallCeed(ceed,
350                 CeedQFunctionContextSetData(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, CEED_USE_POINTER, sgsdd_ctx->total_bytes, sgsdd_ctx));
351   PetscCallCeed(ceed, CeedQFunctionContextSetDataDestroy(sgs_dd_setup_data->sgsdd_qfctx, CEED_MEM_HOST, FreeContextPetsc));
352 
353   // -- Compute and store anisotropy tensor
354   PetscCall(GridAnisotropyTensorProjectionSetupApply(ceed, user, ceed_data, &sgs_dd_setup_data->elem_restr_grid_aniso,
355                                                      &sgs_dd_setup_data->grid_aniso_ceed));
356 
357   // -- Create Nodal Evaluation Operator
358   PetscCall(SGS_DD_ModelSetupNodalEvaluation(ceed, user, ceed_data, sgs_dd_setup_data));
359 
360   // -- Create Operator to evalutate residual of SGS stress
361   PetscCall(SGS_ModelSetupNodalIFunction(ceed, user, ceed_data, sgs_dd_setup_data));
362 
363   PetscCall(SGS_DD_ModelSetupDataDestroy(sgs_dd_setup_data));
364   PetscFunctionReturn(PETSC_SUCCESS);
365 }
366 
367 PetscErrorCode SGS_DD_DataDestroy(SGS_DD_Data sgs_dd_data) {
368   PetscFunctionBeginUser;
369   if (!sgs_dd_data) PetscFunctionReturn(PETSC_SUCCESS);
370   Ceed ceed = sgs_dd_data->op_sgs_apply_ctx->ceed;
371 
372   PetscCallCeed(ceed, CeedVectorDestroy(&sgs_dd_data->sgs_nodal_ceed));
373   PetscCall(OperatorApplyContextDestroy(sgs_dd_data->op_nodal_evaluation_ctx));
374   PetscCall(DMDestroy(&sgs_dd_data->dm_sgs));
375   PetscCall(PetscFree(sgs_dd_data));
376 
377   PetscFunctionReturn(PETSC_SUCCESS);
378 }
379