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StochasticToolsApp.C
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2 //* https://mooseframework.inl.gov
3 //*
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5 //* https://github.com/idaholab/moose/blob/master/COPYRIGHT
6 //*
7 //* Licensed under LGPL 2.1, please see LICENSE for details
8 //* https://www.gnu.org/licenses/lgpl-2.1.html
9 
10 #include "StochasticToolsApp.h"
11 #include "Moose.h"
12 #include "AppFactory.h"
13 #include "MooseSyntax.h"
14 
17 {
19 
20  params.set<bool>("use_legacy_material_output") = false;
21  params.set<bool>("use_legacy_initial_residual_evaluation_behavior") = false;
22 
23  return params;
24 }
25 
26 registerKnownLabel("StochasticToolsApp");
27 
29 {
31 }
32 
34 
35 void
37 {
38  Registry::registerObjectsTo(f, {"StochasticToolsApp"});
39  Registry::registerActionsTo(af, {"StochasticToolsApp"});
40 
41  // Adds [Trainers] block
42  registerSyntaxTask("AddSurrogateAction", "Trainers/*", "add_trainer");
43  registerMooseObjectTask("add_trainer", SurrogateTrainer, false);
44  addTaskDependency("add_trainer", "add_sampler");
45 
46  // Adds [Surrogates] block
47  registerSyntaxTask("AddSurrogateAction", "Surrogates/*", "add_surrogate");
48  registerMooseObjectTask("add_surrogate", SurrogateModel, false);
49  addTaskDependency("add_surrogate", "add_trainer");
50 
51  // Adds action for loading Surrogate data
52  registerTask("load_surrogate_data", true);
53  addTaskDependency("load_surrogate_data", "add_surrogate");
54 
55  // Adds action for loading mapping data
56  registerTask("load_mapping_data", true);
57  addTaskDependency("load_mapping_data", "add_variable_mapping");
58 
59  // General StochasticTools action
60  registerTask("auto_create_mesh", false);
61  registerTask("auto_create_problem", false);
62  registerTask("auto_create_executioner", false);
63  registerSyntaxTask("StochasticToolsAction", "StochasticTools", "auto_create_mesh");
64  registerSyntaxTask("StochasticToolsAction", "StochasticTools", "auto_create_problem");
65  registerSyntaxTask("StochasticToolsAction", "StochasticTools", "auto_create_executioner");
66 
67  // StochasticResults
68  registerTask("declare_stochastic_results_vectors", true);
69  addTaskDependency("declare_stochastic_results_vectors", "add_vector_postprocessor");
70  addTaskDependency("add_reporter", "declare_stochastic_results_vectors");
71 
72  // Covariance functions (Gaussian Process)
73  registerSyntaxTask("AddCovarianceAction", "Covariance/*", "add_covariance");
74  registerMooseObjectTask("add_covariance", CovarianceFunctionBase, false);
75  addTaskDependency("add_covariance", "add_user_object");
76  addTaskDependency("add_distribution", "add_covariance");
77  // Mapping objects
78  registerSyntaxTask("AddVariableMappingAction", "VariableMappings/*", "add_variable_mapping");
79  registerMooseObjectTask("add_variable_mapping", VariableMappingBase, false);
80  addTaskDependency("add_variable_mapping", "add_reporter");
81  // Adds action for loading Covariance data in model
82  registerTask("load_covariance_data", true);
83  addTaskDependency("load_covariance_data", "load_surrogate_data");
84  addTaskDependency("setup_function_complete", "load_covariance_data");
85  addTaskDependency("setup_mesh", "auto_create_mesh");
86  addTaskDependency("create_problem", "auto_create_problem");
87  addTaskDependency("setup_executioner", "auto_create_executioner");
88  // Likelihood functions (Bayesian inference)
89  registerSyntaxTask("AddLikelihoodAction", "Likelihood/*", "add_likelihood");
90  registerMooseObjectTask("add_likelihood", LikelihoodFunctionBase, false);
91  addTaskDependency("add_likelihood", "add_user_object");
92  addTaskDependency("add_distribution", "add_likelihood");
93  // Parallel acquisition (active learning)
94  registerSyntaxTask(
95  "AddParallelAcquisitionAction", "ParallelAcquisition/*", "add_parallelacquisition");
96  registerMooseObjectTask("add_parallelacquisition", ParallelAcquisitionFunctionBase, false);
97  addTaskDependency("add_parallelacquisition", "add_user_object");
98  addTaskDependency("add_distribution", "add_parallelacquisition");
99 
100  registerSyntaxTask("AdaptiveSamplerAction", "Samplers", "add_user_object");
101  registerSyntaxTask("AdaptiveSamplerAction", "Samplers", "add_postprocessor");
102 
103  // Adds [ParameterStudy] block
104  registerSyntax("ParameterStudyAction", "ParameterStudy");
105 }
106 
107 void
109 {
110  registerApp(StochasticToolsApp);
111 }
112 
113 void
115 #ifndef MOOSE_LIBTORCH_ENABLED
116  obj
117 #endif
118 )
119 {
120 #ifndef MOOSE_LIBTORCH_ENABLED
121  obj.mooseError("PyTorch C++ API (libtorch) must be installed to use this object, see "
122  "https://mooseframework.inl.gov/modules/stochastic_tools/install_pytorch.html for "
123  "instruction.");
124 #endif
125 }
126 
127 extern "C" void
129 {
131 }
132 extern "C" void
134 {
136 }
All Likelihoods should inherit from this class.
void StochasticToolsApp__registerAll(Factory &f, ActionFactory &af, Syntax &s)
T & set(const std::string &name, bool quiet_mode=false)
static void registerAll(Factory &f, ActionFactory &af, Syntax &s)
static void requiresTorch(const MooseObject &obj)
Base class for covariance functions that are used in Gaussian Processes.
static void registerObjectsTo(Factory &f, const std::set< std::string > &labels)
Syntax _syntax
static InputParameters validParams()
All ParallelAcquisition functions should inherit from this class.
StochasticToolsApp(const InputParameters &parameters)
static void registerActionsTo(ActionFactory &f, const std::set< std::string > &labels)
Real f(Real x)
Test function for Brents method.
registerKnownLabel("StochasticToolsApp")
ActionFactory _action_factory
static void registerApps()
This is the main trainer base class.
void StochasticToolsApp__registerApps()
static InputParameters validParams()
Factory _factory
This is an abstract base class for objects that provide mapping between a full-order and a latent spa...