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ActiveLearningGaussianProcess Class Reference

#include <ActiveLearningGaussianProcess.h>

Inheritance diagram for ActiveLearningGaussianProcess:
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Public Types

typedef DataFileName DataFileParameterType
 

Public Member Functions

 ActiveLearningGaussianProcess (const InputParameters &parameters)
 
virtual void initialize () final
 
virtual void execute () final
 
virtual void reTrain (const std::vector< std::vector< Real > > &inputs, const std::vector< Real > &outputs) const final
 
StochasticTools::GaussianProcessgp ()
 
const StochasticTools::GaussianProcessgetGP () const
 
const std::vector< Real > & getLengthScales () const
 Return the current length scales from GP training.
 
const StochasticTools::StandardizergetTrainingStandardizer () const
 Return the training data outputs standardizer.
 
void getNormTrainingOuts (std::vector< Real > &norm_training_outs) const
 Return the normalized training outputs.
 
virtual void finalize ()
 
virtual void threadJoin (const UserObject &) final
 
virtual Real spatialValue (const Point &) const
 
virtual const std::vector< Point > spatialPoints () const
 
void setPrimaryThreadCopy (UserObject *primary)
 
UserObjectprimaryThreadCopy ()
 
SubProblemgetSubProblem () const
 
bool shouldDuplicateInitialExecution () const
 
void gatherSum (T &value)
 
void gatherMax (T &value)
 
void gatherMin (T &value)
 
void gatherProxyValueMax (T1 &proxy, T2 &value)
 
void gatherProxyValueMin (T1 &proxy, T2 &value)
 
std::set< UserObjectName > getDependObjects () const
 
const std::set< std::string > & getRequestedItems () override
 
const std::set< std::string > & getSuppliedItems () override
 
unsigned int systemNumber () const
 
virtual bool needThreadedCopy () const
 
virtual bool enabled () const
 
std::shared_ptr< MooseObjectgetSharedPtr ()
 
std::shared_ptr< const MooseObjectgetSharedPtr () const
 
bool isKokkosObject () const
 
MooseAppgetMooseApp () const
 
const std::string & type () const
 
const std::string & name () const
 
std::string typeAndName () const
 
MooseObjectParameterName uniqueParameterName (const std::string &parameter_name) const
 
MooseObjectName uniqueName () const
 
const InputParametersparameters () const
 
const hit::Node * getHitNode () const
 
bool hasBase () const
 
const std::string & getBase () const
 
const TgetParam (const std::string &name) const
 
std::vector< std::pair< T1, T2 > > getParam (const std::string &param1, const std::string &param2) const
 
const TqueryParam (const std::string &name) const
 
const TgetRenamedParam (const std::string &old_name, const std::string &new_name) const
 
T getCheckedPointerParam (const std::string &name, const std::string &error_string="") const
 
bool isParamValid (const std::string &name) const
 
bool isParamSetByUser (const std::string &name) const
 
void connectControllableParams (const std::string &parameter, const std::string &object_type, const std::string &object_name, const std::string &object_parameter) const
 
void paramError (const std::string &param, Args... args) const
 
void paramWarning (const std::string &param, Args... args) const
 
void paramWarning (const std::string &param, Args... args) const
 
void paramInfo (const std::string &param, Args... args) const
 
std::string messagePrefix (const bool hit_prefix=true) const
 
std::string errorPrefix (const std::string &) const
 
void mooseError (Args &&... args) const
 
void mooseDocumentedError (const std::string &repo_name, const unsigned int issue_num, Args &&... args) const
 
void mooseErrorNonPrefixed (Args &&... args) const
 
void mooseWarning (Args &&... args) const
 
void mooseWarning (Args &&... args) const
 
void mooseWarningNonPrefixed (Args &&... args) const
 
void mooseWarningNonPrefixed (Args &&... args) const
 
void mooseDeprecated (Args &&... args) const
 
void mooseDeprecated (Args &&... args) const
 
void mooseDeprecatedNoTrace (Args &&... args) const
 
void mooseInfo (Args &&... args) const
 
void callMooseError (std::string msg, const bool with_prefix, const hit::Node *node=nullptr, const bool show_trace=true) const
 
std::string getDataFileName (const std::string &param) const
 
std::string getDataFileNameByName (const std::string &relative_path) const
 
std::string getDataFilePath (const std::string &relative_path) const
 
virtual void initialSetup ()
 
virtual void timestepSetup ()
 
virtual void jacobianSetup ()
 
virtual void residualSetup ()
 
virtual void customSetup (const ExecFlagType &)
 
const ExecFlagEnumgetExecuteOnEnum () const
 
UserObjectName getUserObjectName (const std::string &param_name) const
 
const TgetUserObject (const std::string &param_name, bool is_dependency=true) const
 
const TgetUserObjectByName (const UserObjectName &object_name, bool is_dependency=true) const
 
const UserObjectBasegetUserObjectBase (const std::string &param_name, bool is_dependency=true) const
 
const UserObjectBasegetUserObjectBaseByName (const UserObjectName &object_name, bool is_dependency=true) const
 
const std::vector< MooseVariableScalar * > & getCoupledMooseScalarVars ()
 
const std::set< TagID > & getScalarVariableCoupleableVectorTags () const
 
const std::set< TagID > & getScalarVariableCoupleableMatrixTags () const
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialProperty (const std::string &name, MaterialData &material_data, const unsigned int state=0)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialProperty (const std::string &name, const unsigned int state=0)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialProperty (const std::string &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialProperty (const std::string &name, MaterialData &material_data, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialProperty (const std::string &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialProperty (const std::string &name, const unsigned int state=0)
 
const ADMaterialProperty< T > & getADMaterialProperty (const std::string &name, MaterialData &material_data)
 
const ADMaterialProperty< T > & getADMaterialProperty (const std::string &name)
 
const ADMaterialProperty< T > & getADMaterialProperty (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOld (const std::string &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOld (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOld (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOlder (const std::string &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOlder (const std::string &name)
 
const MaterialProperty< T > & getMaterialPropertyOlder (const std::string &name)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialPropertyByName (const MaterialPropertyName &name, MaterialData &material_data, const unsigned int state)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const GenericMaterialProperty< T, is_ad > & getGenericMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialPropertyByName (const MaterialPropertyName &name, MaterialData &material_data, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const MaterialProperty< T > & getMaterialPropertyByName (const MaterialPropertyName &name, const unsigned int state=0)
 
const ADMaterialProperty< T > & getADMaterialPropertyByName (const MaterialPropertyName &name, MaterialData &material_data)
 
const ADMaterialProperty< T > & getADMaterialPropertyByName (const MaterialPropertyName &name)
 
const ADMaterialProperty< T > & getADMaterialPropertyByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOldByName (const MaterialPropertyName &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOldByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOldByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOlderByName (const MaterialPropertyName &name, MaterialData &material_data)
 
const MaterialProperty< T > & getMaterialPropertyOlderByName (const MaterialPropertyName &name)
 
const MaterialProperty< T > & getMaterialPropertyOlderByName (const MaterialPropertyName &name)
 
Moose::Kokkos::MaterialProperty< T, dimension > getKokkosMaterialPropertyByName (const std::string &prop_name_in)
 
Moose::Kokkos::MaterialProperty< T, dimension > getKokkosMaterialPropertyOldByName (const std::string &prop_name)
 
Moose::Kokkos::MaterialProperty< T, dimension > getKokkosMaterialPropertyOlderByName (const std::string &prop_name)
 
Moose::Kokkos::MaterialProperty< T, dimension > getKokkosMaterialProperty (const std::string &name)
 
Moose::Kokkos::MaterialProperty< T, dimension > getKokkosMaterialPropertyOld (const std::string &name)
 
Moose::Kokkos::MaterialProperty< T, dimension > getKokkosMaterialPropertyOlder (const std::string &name)
 
std::pair< const MaterialProperty< T > *, std::set< SubdomainID > > getBlockMaterialProperty (const MaterialPropertyName &name)
 
std::pair< Moose::Kokkos::MaterialProperty< T, dimension >, std::set< SubdomainID > > getKokkosBlockMaterialProperty (const MaterialPropertyName &name)
 
const GenericMaterialProperty< T, is_ad > & getGenericZeroMaterialProperty (const std::string &name)
 
const GenericMaterialProperty< T, is_ad > & getGenericZeroMaterialProperty ()
 
const GenericMaterialProperty< T, is_ad > & getGenericZeroMaterialPropertyByName (const std::string &prop_name)
 
const MaterialProperty< T > & getZeroMaterialProperty (Ts... args)
 
std::set< SubdomainIDgetMaterialPropertyBlocks (const std::string &name)
 
std::vector< SubdomainName > getMaterialPropertyBlockNames (const std::string &name)
 
std::set< BoundaryIDgetMaterialPropertyBoundaryIDs (const std::string &name)
 
std::vector< BoundaryName > getMaterialPropertyBoundaryNames (const std::string &name)
 
void checkBlockAndBoundaryCompatibility (std::shared_ptr< MaterialBase > discrete)
 
std::unordered_map< SubdomainID, std::vector< MaterialBase * > > buildRequiredMaterials (bool allow_stateful=true)
 
void statefulPropertiesAllowed (bool)
 
virtual bool getMaterialPropertyCalled () const
 
virtual const std::unordered_set< unsigned int > & getMatPropDependencies () const
 
virtual void resolveOptionalProperties ()
 
const GenericMaterialProperty< T, is_ad > & getPossiblyConstantGenericMaterialPropertyByName (const MaterialPropertyName &prop_name, MaterialData &material_data, const unsigned int state)
 
bool isImplicit ()
 
Moose::StateArg determineState () const
 
virtual void subdomainSetup () override
 
virtual void subdomainSetup () override
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObject (const std::string &param_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
bool hasUserObjectByName (const UserObjectName &object_name) const
 
const GenericOptionalMaterialProperty< T, is_ad > & getGenericOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const GenericOptionalMaterialProperty< T, is_ad > & getGenericOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const OptionalMaterialProperty< T > & getOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const OptionalMaterialProperty< T > & getOptionalMaterialProperty (const std::string &name, const unsigned int state=0)
 
const OptionalADMaterialProperty< T > & getOptionalADMaterialProperty (const std::string &name)
 
const OptionalADMaterialProperty< T > & getOptionalADMaterialProperty (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOld (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOld (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOlder (const std::string &name)
 
const OptionalMaterialProperty< T > & getOptionalMaterialPropertyOlder (const std::string &name)
 
MaterialBasegetMaterial (const std::string &name)
 
MaterialBasegetMaterial (const std::string &name)
 
MaterialBasegetMaterialByName (const std::string &name, bool no_warn=false)
 
MaterialBasegetMaterialByName (const std::string &name, bool no_warn=false)
 
bool hasMaterialProperty (const std::string &name)
 
bool hasMaterialProperty (const std::string &name)
 
bool hasMaterialPropertyByName (const std::string &name)
 
bool hasMaterialPropertyByName (const std::string &name)
 
bool hasADMaterialProperty (const std::string &name)
 
bool hasADMaterialProperty (const std::string &name)
 
bool hasADMaterialPropertyByName (const std::string &name)
 
bool hasADMaterialPropertyByName (const std::string &name)
 
bool hasKokkosMaterialProperty (const std::string &name)
 
bool hasKokkosMaterialProperty (const std::string &name)
 
bool hasKokkosMaterialPropertyByName (const std::string &name)
 
bool hasKokkosMaterialPropertyByName (const std::string &name)
 
bool hasGenericMaterialProperty (const std::string &name)
 
bool hasGenericMaterialProperty (const std::string &name)
 
bool hasGenericMaterialPropertyByName (const std::string &name)
 
bool hasGenericMaterialPropertyByName (const std::string &name)
 
const FunctiongetFunction (const std::string &name) const
 
const FunctiongetFunctionByName (const FunctionName &name) const
 
bool hasFunction (const std::string &param_name) const
 
bool hasFunctionByName (const FunctionName &name) const
 
Moose::Kokkos::Function getKokkosFunction (const std::string &name) const
 
const TgetKokkosFunction (const std::string &name) const
 
Moose::Kokkos::Function getKokkosFunctionByName (const FunctionName &name) const
 
const TgetKokkosFunctionByName (const FunctionName &name) const
 
bool hasKokkosFunction (const std::string &param_name) const
 
bool hasKokkosFunctionByName (const FunctionName &name) const
 
bool isDefaultPostprocessorValue (const std::string &param_name, const unsigned int index=0) const
 
bool hasPostprocessor (const std::string &param_name, const unsigned int index=0) const
 
bool hasPostprocessorByName (const PostprocessorName &name) const
 
std::size_t coupledPostprocessors (const std::string &param_name) const
 
const PostprocessorName & getPostprocessorName (const std::string &param_name, const unsigned int index=0) const
 
const VectorPostprocessorValuegetVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name, bool needs_broadcast) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name, bool needs_broadcast) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name, bool needs_broadcast) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
const VectorPostprocessorValuegetVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name, bool needs_broadcast) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name) const
 
const ScatterVectorPostprocessorValuegetScatterVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
bool hasVectorPostprocessor (const std::string &param_name, const std::string &vector_name) const
 
bool hasVectorPostprocessor (const std::string &param_name) const
 
bool hasVectorPostprocessorByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
bool hasVectorPostprocessorByName (const VectorPostprocessorName &name) const
 
const VectorPostprocessorName & getVectorPostprocessorName (const std::string &param_name) const
 
TgetSampler (const std::string &name)
 
SamplergetSampler (const std::string &name)
 
TgetSamplerByName (const SamplerName &name)
 
SamplergetSamplerByName (const SamplerName &name)
 
virtual void meshChanged ()
 
virtual void meshDisplaced ()
 
PerfGraphperfGraph ()
 
const PostprocessorValuegetPostprocessorValue (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValue (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOld (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOld (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOlder (const std::string &param_name, const unsigned int index=0) const
 
const PostprocessorValuegetPostprocessorValueOlder (const std::string &param_name, const unsigned int index=0) const
 
virtual const PostprocessorValuegetPostprocessorValueByName (const PostprocessorName &name) const
 
virtual const PostprocessorValuegetPostprocessorValueByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOldByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOldByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOlderByName (const PostprocessorName &name) const
 
const PostprocessorValuegetPostprocessorValueOlderByName (const PostprocessorName &name) const
 
bool isVectorPostprocessorDistributed (const std::string &param_name) const
 
bool isVectorPostprocessorDistributed (const std::string &param_name) const
 
bool isVectorPostprocessorDistributedByName (const VectorPostprocessorName &name) const
 
bool isVectorPostprocessorDistributedByName (const VectorPostprocessorName &name) const
 
const DistributiongetDistribution (const std::string &name) const
 
const TgetDistribution (const std::string &name) const
 
const DistributiongetDistribution (const std::string &name) const
 
const TgetDistribution (const std::string &name) const
 
const DistributiongetDistributionByName (const DistributionName &name) const
 
const TgetDistributionByName (const std::string &name) const
 
const DistributiongetDistributionByName (const DistributionName &name) const
 
const TgetDistributionByName (const std::string &name) const
 
const Parallel::Communicator & comm () const
 
processor_id_type n_processors () const
 
processor_id_type processor_id () const
 
const std::string & modelMetaDataName () const
 Accessor for the name of the model meta data.
 
const FileName & getModelDataFileName () const
 Get the associated filename.
 
bool hasModelData () const
 Check if we need to load model data (if the filename parameter is used)
 
template<>
SurrogateModelgetSurrogateModel (const std::string &name) const
 
template<>
SurrogateTrainerBasegetSurrogateTrainer (const std::string &name) const
 
template<>
SurrogateModelgetSurrogateModelByName (const UserObjectName &name) const
 
template<>
SurrogateTrainerBasegetSurrogateTrainerByName (const UserObjectName &name) const
 
template<typename T , typename... Args>
TdeclareModelData (const std::string &data_name, Args &&... args)
 Declare model data for loading from file as well as restart.
 
template<typename T , typename... Args>
const TgetModelData (const std::string &data_name, Args &&... args) const
 Retrieve model data from the interface.
 
template<typename T = SurrogateModel>
TgetSurrogateModel (const std::string &name) const
 Get a SurrogateModel/Trainer with a given name.
 
template<typename T = SurrogateTrainerBase>
TgetSurrogateTrainer (const std::string &name) const
 
template<typename T = SurrogateModel>
TgetSurrogateModelByName (const UserObjectName &name) const
 Get a sampler with a given name.
 
template<typename T = SurrogateTrainerBase>
TgetSurrogateTrainerByName (const UserObjectName &name) const
 

Static Public Member Functions

static InputParameters validParams ()
 
static void callMooseError (MooseApp *const app, const InputParameters &params, std::string msg, const bool with_prefix, const hit::Node *node, const bool show_trace=true)
 
static void sort (typename std::vector< T > &vector)
 
static void sortDFS (typename std::vector< T > &vector)
 
static void cyclicDependencyError (CyclicDependencyException< T2 > &e, const std::string &header, NameFunc &&name_func)
 
static void cyclicDependencyError (CyclicDependencyException< T2 > &e, const std::string &header)
 

Public Attributes

 usingCombinedWarningSolutionWarnings
 
const ConsoleStream _console
 

Static Public Attributes

static const std::string type_param
 
static const std::string name_param
 
static const std::string unique_name_param
 
static const std::string app_param
 
static const std::string moose_base_param
 
static const std::string kokkos_object_param
 
static constexpr PropertyValue::id_type default_property_id
 
static constexpr PropertyValue::id_type zero_property_id
 
static constexpr auto SYSTEM
 
static constexpr auto NAME
 

Protected Member Functions

virtual void addPostprocessorDependencyHelper (const PostprocessorName &name) const override
 
virtual void addVectorPostprocessorDependencyHelper (const VectorPostprocessorName &name) const override
 
virtual void addUserObjectDependencyHelper (const UserObjectBase &uo) const override
 
void addReporterDependencyHelper (const ReporterName &reporter_name) override
 
void flagInvalidSolutionInternal (const InvalidSolutionID invalid_solution_id) const
 
InvalidSolutionID registerInvalidSolutionInternal (const std::string &message, const bool warning) const
 
const ReporterContextBasegetReporterContextBaseByName (const ReporterName &reporter_name) const
 
const ReporterNamegetReporterName (const std::string &param_name) const
 
TdeclareRestartableData (const std::string &data_name, Args &&... args)
 
ManagedValue< TdeclareManagedRestartableDataWithContext (const std::string &data_name, void *context, Args &&... args)
 
const TgetRestartableData (const std::string &data_name) const
 
TdeclareRestartableDataWithContext (const std::string &data_name, void *context, Args &&... args)
 
TdeclareRecoverableData (const std::string &data_name, Args &&... args)
 
TdeclareRestartableDataWithObjectName (const std::string &data_name, const std::string &object_name, Args &&... args)
 
TdeclareRestartableDataWithObjectNameWithContext (const std::string &data_name, const std::string &object_name, void *context, Args &&... args)
 
std::string restartableName (const std::string &data_name) const
 
const TgetMeshProperty (const std::string &data_name, const std::string &prefix)
 
const TgetMeshProperty (const std::string &data_name)
 
bool hasMeshProperty (const std::string &data_name, const std::string &prefix) const
 
bool hasMeshProperty (const std::string &data_name, const std::string &prefix) const
 
bool hasMeshProperty (const std::string &data_name) const
 
bool hasMeshProperty (const std::string &data_name) const
 
std::string meshPropertyName (const std::string &data_name) const
 
PerfID registerTimedSection (const std::string &section_name, const unsigned int level) const
 
PerfID registerTimedSection (const std::string &section_name, const unsigned int level, const std::string &live_message, const bool print_dots=true) const
 
std::string timedSectionName (const std::string &section_name) const
 
bool isCoupledScalar (const std::string &var_name, unsigned int i=0) const
 
unsigned int coupledScalarComponents (const std::string &var_name) const
 
unsigned int coupledScalar (const std::string &var_name, unsigned int comp=0) const
 
libMesh::Order coupledScalarOrder (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarValue (const std::string &var_name, unsigned int comp=0) const
 
const ADVariableValueadCoupledScalarValue (const std::string &var_name, unsigned int comp=0) const
 
const GenericVariableValue< is_ad > & coupledGenericScalarValue (const std::string &var_name, unsigned int comp=0) const
 
const GenericVariableValue< false > & coupledGenericScalarValue (const std::string &var_name, const unsigned int comp) const
 
const GenericVariableValue< true > & coupledGenericScalarValue (const std::string &var_name, const unsigned int comp) const
 
const VariableValuecoupledVectorTagScalarValue (const std::string &var_name, TagID tag, unsigned int comp=0) const
 
const VariableValuecoupledMatrixTagScalarValue (const std::string &var_name, TagID tag, unsigned int comp=0) const
 
const VariableValuecoupledScalarValueOld (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarValueOlder (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDot (const std::string &var_name, unsigned int comp=0) const
 
const ADVariableValueadCoupledScalarDot (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDot (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotOld (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDotOld (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDu (const std::string &var_name, unsigned int comp=0) const
 
const VariableValuecoupledScalarDotDotDu (const std::string &var_name, unsigned int comp=0) const
 
const MooseVariableScalargetScalarVar (const std::string &var_name, unsigned int comp) const
 
virtual void checkMaterialProperty (const std::string &name, const unsigned int state)
 
virtual void getKokkosMaterialPropertyHook (const std::string &, const unsigned int)
 
void markMatPropRequested (const std::string &)
 
MaterialPropertyName getMaterialPropertyName (const std::string &name) const
 
void checkExecutionStage ()
 
const TgetReporterValue (const std::string &param_name, const std::size_t time_index=0)
 
const TgetReporterValue (const std::string &param_name, ReporterMode mode, const std::size_t time_index=0)
 
const TgetReporterValue (const std::string &param_name, const std::size_t time_index=0)
 
const TgetReporterValue (const std::string &param_name, ReporterMode mode, const std::size_t time_index=0)
 
const TgetReporterValueByName (const ReporterName &reporter_name, const std::size_t time_index=0)
 
const TgetReporterValueByName (const ReporterName &reporter_name, ReporterMode mode, const std::size_t time_index=0)
 
const TgetReporterValueByName (const ReporterName &reporter_name, const std::size_t time_index=0)
 
const TgetReporterValueByName (const ReporterName &reporter_name, ReporterMode mode, const std::size_t time_index=0)
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValue (const std::string &param_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
bool hasReporterValueByName (const ReporterName &reporter_name) const
 
const GenericMaterialProperty< T, is_ad > * defaultGenericMaterialProperty (const std::string &name)
 
const GenericMaterialProperty< T, is_ad > * defaultGenericMaterialProperty (const std::string &name)
 
const MaterialProperty< T > * defaultMaterialProperty (const std::string &name)
 
const MaterialProperty< T > * defaultMaterialProperty (const std::string &name)
 
const ADMaterialProperty< T > * defaultADMaterialProperty (const std::string &name)
 
const ADMaterialProperty< T > * defaultADMaterialProperty (const std::string &name)
 
CovarianceFunctionBasegetCovarianceFunctionByName (const UserObjectName &name) const
 Lookup a CovarianceFunction object by name and return pointer.
 

Static Protected Member Functions

static std::string meshPropertyName (const std::string &data_name, const std::string &prefix)
 

Protected Attributes

const Moose::CoordinateSystemType_coord_sys
 
const THREAD_ID _tid
 
SubProblem_subproblem
 
FEProblemBase_fe_problem
 
SystemBase_sys
 
Assembly_assembly
 
const bool _duplicate_initial_execution
 
std::set< std::string > _depend_uo
 
const bool & _enabled
 
MooseApp_app
 
Factory_factory
 
ActionFactory_action_factory
 
const std::string & _type
 
const std::string & _name
 
const InputParameters_pars
 
const ExecFlagEnum_execute_enum
 
const ExecFlagType_current_execute_flag
 
MooseApp_restartable_app
 
const std::string _restartable_system_name
 
const THREAD_ID _restartable_tid
 
const bool _restartable_read_only
 
FEProblemBase_mci_feproblem
 
FEProblemBase_mdi_feproblem
 
MooseApp_pg_moose_app
 
const std::string _prefix
 
FEProblemBase_sc_fe_problem
 
const THREAD_ID _sc_tid
 
const Real & _real_zero
 
const VariableValue_scalar_zero
 
const Point & _point_zero
 
const InputParameters_mi_params
 
const std::string _mi_name
 
const MooseObjectName _mi_moose_object_name
 
FEProblemBase_mi_feproblem
 
SubProblem_mi_subproblem
 
const THREAD_ID _mi_tid
 
const bool _is_kokkos_object
 
const Moose::MaterialDataType _material_data_type
 
MaterialData_material_data
 
bool _stateful_allowed
 
bool _get_material_property_called
 
std::vector< std::unique_ptr< PropertyValue > > _default_properties
 
std::unordered_set< unsigned int_material_property_dependencies
 
const MaterialPropertyName _get_suffix
 
const bool _use_interpolated_state
 
const InputParameters_ti_params
 
FEProblemBase_ti_feproblem
 
bool _is_implicit
 
Real & _t
 
const Real & _t_old
 
int_t_step
 
Real & _dt
 
Real & _dt_old
 
bool _is_transient
 
const Parallel::Communicator & _communicator
 

Static Protected Attributes

static const std::string _interpolated_old
 
static const std::string _interpolated_older
 

Private Member Functions

const Moose::FunctionBasegetKokkosFunctionByNameHelper (const FunctionName &name) const
 
const UserObjectBasegetUserObjectFromFEProblem (const UserObjectName &object_name, const THREAD_ID tid=0) const
 
const TcastUserObject (const UserObjectBase &uo_base, const std::string &param_name="") const
 
void mooseObjectError (const std::string &param_name, std::stringstream &oss) const
 
const std::string & userObjectType (const UserObjectBase &uo) const
 
const std::string & userObjectName (const UserObjectBase &uo) const
 
const PostprocessorName & getPostprocessorNameInternal (const std::string &param_name, const unsigned int index, const bool allow_default_value=true) const
 
bool isDefaultPostprocessorValueByName (const PostprocessorName &name) const
 
PostprocessorValue getDefaultPostprocessorValueByName (const PostprocessorName &name) const
 
void checkParam (const std::string &param_name, const unsigned int index=std::numeric_limits< unsigned int >::max()) const
 
bool postprocessorsAdded () const
 
const VectorPostprocessorValuegetVectorPostprocessorByNameHelper (const VectorPostprocessorName &name, const std::string &vector_name, bool broadcast, std::size_t t_index) const
 
const VectorPostprocessorContext< VectorPostprocessorValue > & getVectorPostprocessorContextByNameHelper (const VectorPostprocessorName &name, const std::string &vector_name) const
 
bool vectorPostprocessorsAdded () const
 
bool reportersAdded () const
 
void possiblyCheckHasReporter (const ReporterName &reporter_name, const std::string &param_name="") const
 
RestartableDataValueregisterRestartableDataOnApp (std::unique_ptr< RestartableDataValue > data, THREAD_ID tid) const
 
void registerRestartableNameWithFilterOnApp (const std::string &name, Moose::RESTARTABLE_FILTER filter)
 
RestartableData< T > & declareRestartableDataHelper (const std::string &data_name, void *context, Args &&... args) const
 
virtual std::string meshPropertyPrefix (const std::string &data_name) const
 
const RestartableDataValuegetMeshPropertyInternal (const std::string &data_name, const std::string &prefix) const
 
void mooseErrorInternal (Args &&... args) const
 
const VariableValuegetDefaultValue (const std::string &var_name) const
 
const ADVariableValuegetADDefaultValue (const std::string &var_name) const
 
void checkVar (const std::string &var_name) const
 
void validateExecutionerType (const std::string &name, const std::string &fn_name) const
 
Moose::MaterialDataType getMaterialDataType (const std::set< BoundaryID > &boundary_ids) const
 
unsigned int getMaxQps () const
 
void addConsumedPropertyName (const MooseObjectName &obj_name, const std::string &prop_name)
 
const PostprocessorValuegetPostprocessorValueInternal (const std::string &param_name, unsigned int index, std::size_t t_index) const
 
const PostprocessorValuegetPostprocessorValueInternal (const std::string &param_name, unsigned int index, std::size_t t_index) const
 
const PostprocessorValuegetPostprocessorValueByNameInternal (const PostprocessorName &name, std::size_t t_index) const
 
const PostprocessorValuegetPostprocessorValueByNameInternal (const PostprocessorName &name, std::size_t t_index) const
 
void possiblyCheckHasVectorPostprocessor (const std::string &param_name, const std::string &vector_name) const
 
void possiblyCheckHasVectorPostprocessor (const std::string &param_name, const std::string &vector_name) const
 
void possiblyCheckHasVectorPostprocessorByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 
void possiblyCheckHasVectorPostprocessorByName (const VectorPostprocessorName &name, const std::string &vector_name) const
 

Static Private Member Functions

static const hit::Node * getHitNode (const InputParameters &params)
 
static std::string messagePrefix (const InputParameters &params, const bool hit_prefix)
 

Private Attributes

const std::string _model_meta_data_name
 Name for the meta data associated with training.
 
StochasticTools::GaussianProcess_gp
 The GP handler.
 
torch::Tensor & _training_params
 Paramaters (x) used for training, along with statistics.
 
torch::Tensor & _training_data
 Outputs (y) used for training, along with statistics.
 
bool _standardize_params
 Switch for training param (x) standardization.
 
bool _standardize_data
 Switch for training data(y) standardization.
 
const StochasticTools::GaussianProcess::GPOptimizerOptions _optimization_opts
 Struct holding parameters necessary for parameter tuning.
 
UserObject_primary_thread_copy
 
std::set< std::string > _supplied_uo
 
const ParallelParamObject_parent
 
const MooseBase_si_moose_base
 
const FEProblemBase_si_problem
 
ExecFlagEnum _empty_execute_enum
 
const MooseObject_fni_object
 
const InputParameters_fni_params
 
FEProblemBase_fni_feproblem
 
const THREAD_ID _fni_tid
 
const MooseObject_uoi_moose_object
 
const FEProblemBase_uoi_feproblem
 
const THREAD_ID _uoi_tid
 
const MooseObject_ppi_moose_object
 
const InputParameters_ppi_params
 
const FEProblemBase_ppi_feproblem
 
std::map< PostprocessorName, std::unique_ptr< PostprocessorValue > > _default_values
 
const bool _broadcast_by_default
 
const MooseObject_vpi_moose_object
 
const FEProblemBase_vpi_feproblem
 
const THREAD_ID _vpi_tid
 
const InputParameters_ri_params
 
FEProblemBase_ri_fe_problem_base
 
const ReporterData_ri_reporter_data
 
const MooseObject_ri_moose_object
 
const InputParameters_dni_params
 
FEProblemBase_dni_feproblem
 
const MooseObject *const _dni_moose_object_ptr
 
const InputParameters_si_params
 
FEProblemBase_si_feproblem
 
THREAD_ID _si_tid
 
const RestartableDataMapName _metaname
 
std::string _restartable_name
 
MooseApp_meta_data_app
 
const MooseObject *const _meta_data_object
 
const InputParameters_sc_parameters
 
const std::string & _sc_name
 
const bool _sc_is_implicit
 
std::unordered_map< std::string, std::vector< MooseVariableScalar * > > _coupled_scalar_vars
 
std::unordered_map< std::string, std::unique_ptr< VariableValue > > _default_value
 
std::unordered_map< std::string, std::unique_ptr< ADVariableValue > > _dual_default_value
 
std::vector< MooseVariableScalar * > _coupled_moose_scalar_vars
 
std::unordered_map< std::string, std::vector< MooseVariableFieldBase * > > _sc_coupled_vars
 
std::set< TagID_sc_coupleable_vector_tags
 
std::set< TagID_sc_coupleable_matrix_tags
 
const MooseObject_mi_moose_object
 
const bool _mi_boundary_restricted
 
const std::set< SubdomainID > & _mi_block_ids
 
const std::set< BoundaryID > & _mi_boundary_ids
 
std::vector< std::unique_ptr< OptionalMaterialPropertyProxyBase< MaterialPropertyInterface > > > _optional_property_proxies
 
const std::string _ti_name
 
const MooseObject_model_object
 Reference to the MooseObject that uses this interface.
 
PublicRestartable _model_restartable
 Member for interfacing with the framework's restartable system.
 
FEProblemBase_covar_feproblem
 Reference to FEProblemBase instance.
 
const InputParameters_smi_params
 Parameters of the object with this interface.
 
FEProblemBase_smi_feproblem
 Reference to FEProblemBase instance.
 
const THREAD_ID _smi_tid
 Thread ID.
 

Detailed Description

Definition at line 30 of file ActiveLearningGaussianProcess.h.

Constructor & Destructor Documentation

◆ ActiveLearningGaussianProcess()

ActiveLearningGaussianProcess::ActiveLearningGaussianProcess ( const InputParameters parameters)

Definition at line 52 of file ActiveLearningGaussianProcess.C.

56 _gp(declareModelData<StochasticTools::GaussianProcess>("_gp")),
57 _training_params(declareModelData<torch::Tensor>("_training_params")),
58 _training_data(declareModelData<torch::Tensor>("_training_data")),
59 _standardize_params(getParam<bool>("standardize_params")),
60 _standardize_data(getParam<bool>("standardize_data")),
62 getParam<unsigned int>("show_every_nth_iteration"),
63 getParam<unsigned int>("num_iters"),
64 getParam<unsigned int>("batch_size"),
65 getParam<Real>("learning_rate"),
66 0.9,
67 0.999,
68 1e-7,
69 1e-4,
70 getParam<MooseEnum>("optimizer")
71 .getEnum<StochasticTools::GaussianProcess::OptimizerType>()))
72{
73 _gp.initialize(getCovarianceFunctionByName(getParam<UserObjectName>("covariance_function")),
74 getParam<std::vector<std::string>>("tune_parameters"),
75 getParam<std::vector<Real>>("tuning_min"),
76 getParam<std::vector<Real>>("tuning_max"));
77}
torch::Tensor & _training_data
Outputs (y) used for training, along with statistics.
StochasticTools::GaussianProcess & _gp
The GP handler.
bool _standardize_params
Switch for training param (x) standardization.
const StochasticTools::GaussianProcess::GPOptimizerOptions _optimization_opts
Struct holding parameters necessary for parameter tuning.
torch::Tensor & _training_params
Paramaters (x) used for training, along with statistics.
bool _standardize_data
Switch for training data(y) standardization.
CovarianceFunctionBase * getCovarianceFunctionByName(const UserObjectName &name) const
Lookup a CovarianceFunction object by name and return pointer.
const InputParameters & parameters() const
const T & getParam(const std::string &name) const
void initialize(CovarianceFunctionBase *covariance_function, const std::vector< std::string > &params_to_tune, const std::vector< Real > &min=std::vector< Real >(), const std::vector< Real > &max=std::vector< Real >())
Initializes the most important structures in the Gaussian Process: the covariance function and a tuni...
Interface for objects that need to use samplers.
This is the base trainer class whose main functionality is the API for declaring model data.
Structure containing the optimization options for hyperparameter-tuning.

Member Function Documentation

◆ declareModelData()

template<typename T , typename... Args>
T & RestartableModelInterface::declareModelData ( const std::string &  data_name,
Args &&...  args 
)
inherited

Declare model data for loading from file as well as restart.

Definition at line 73 of file RestartableModelInterface.h.

74{
75 return _model_restartable.declareRestartableData<T>(data_name, std::forward<Args>(args)...);
76}
const double T
T & declareRestartableData(const std::string &data_name, Args &&... args)
Declare a piece of data as "restartable" and initialize it.
PublicRestartable _model_restartable
Member for interfacing with the framework's restartable system.

◆ execute()

virtual void ActiveLearningGaussianProcess::execute ( )
inlinefinalvirtual

Implements GeneralUserObject.

Definition at line 39 of file ActiveLearningGaussianProcess.h.

39{}

◆ finalize()

virtual void SurrogateTrainerBase::finalize ( )
inlinevirtualinherited

Implements GeneralUserObject.

Reimplemented in SurrogateTrainer, and PODReducedBasisTrainer.

Definition at line 39 of file SurrogateTrainer.h.

39{} // not required, but available

◆ getCovarianceFunctionByName()

CovarianceFunctionBase * CovarianceInterface::getCovarianceFunctionByName ( const UserObjectName &  name) const
protectedinherited

Lookup a CovarianceFunction object by name and return pointer.

Definition at line 26 of file CovarianceInterface.C.

27{
28 std::vector<CovarianceFunctionBase *> models;
30 .query()
31 .condition<AttribName>(name)
32 .condition<AttribSystem>("CovarianceFunction")
33 .queryInto(models);
34 if (models.empty())
35 mooseError("Unable to find a CovarianceFunction object with the name '" + name + "'");
36 return models[0];
37}
void mooseError(Args &&... args)
const std::string name
Definition Setup.h:21
FEProblemBase & _covar_feproblem
Reference to FEProblemBase instance.
TheWarehouse & theWarehouse() const
Query query()

Referenced by ActiveLearningGaussianProcess(), CovarianceFunctionBase::CovarianceFunctionBase(), GaussianProcessTrainer::GaussianProcessTrainer(), and GaussianProcessSurrogate::setupCovariance().

◆ getGP()

const StochasticTools::GaussianProcess & ActiveLearningGaussianProcess::getGP ( ) const
inline

Definition at line 44 of file ActiveLearningGaussianProcess.h.

44{ return _gp; }

◆ getLengthScales()

const std::vector< Real > & ActiveLearningGaussianProcess::getLengthScales ( ) const

Return the current length scales from GP training.

Definition at line 131 of file ActiveLearningGaussianProcess.C.

132{
133 return _gp.getLengthScales();
134}
const std::vector< Real > & getLengthScales() const

◆ getModelData()

template<typename T , typename... Args>
const T & RestartableModelInterface::getModelData ( const std::string &  data_name,
Args &&...  args 
) const
inherited

Retrieve model data from the interface.

Definition at line 80 of file RestartableModelInterface.h.

81{
82 return _model_restartable.getRestartableData<T>(data_name, std::forward<Args>(args)...);
83}
const T & getRestartableData(const std::string &data_name) const
Declare a piece of data as "restartable" and initialize it Similar to declareRestartableData but retu...

◆ getModelDataFileName()

const FileName & RestartableModelInterface::getModelDataFileName ( ) const
inherited

Get the associated filename.

Definition at line 33 of file RestartableModelInterface.C.

34{
35 return _model_object.getParam<FileName>("filename");
36}
const MooseObject & _model_object
Reference to the MooseObject that uses this interface.

◆ getNormTrainingOuts()

void ActiveLearningGaussianProcess::getNormTrainingOuts ( std::vector< Real > &  norm_training_outs) const

Return the normalized training outputs.

Parameters
norm_training_outsThe normalized traing outputs to return

Definition at line 143 of file ActiveLearningGaussianProcess.C.

144{
145 norm_training_outs.resize(_training_data.size(0));
146 const auto training_data = LibtorchUtils::toCPUContiguous(_training_data);
147 const auto data_accessor = training_data.accessor<Real, 2>();
148 for (unsigned int i = 0; i < norm_training_outs.size(); ++i)
149 norm_training_outs[i] = data_accessor[i][0];
150}
torch::Tensor toCPUContiguous(const torch::Tensor &tensor)
DIE A HORRIBLE DEATH HERE typedef LIBMESH_DEFAULT_SCALAR_TYPE Real

◆ getSurrogateModel() [1/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateModel ( const std::string &  name) const
inherited

Get a SurrogateModel/Trainer with a given name.

Parameters
nameThe name of the parameter key of the sampler to retrieve
Returns
The sampler with name associated with the parameter 'name'

Definition at line 81 of file SurrogateModelInterface.h.

82{
83 return getSurrogateModelByName<T>(_smi_params.get<UserObjectName>(name));
84}
std::vector< std::pair< R1, R2 > > get(const std::string &param1, const std::string &param2) const
const InputParameters & _smi_params
Parameters of the object with this interface.

Referenced by SurrogateTrainer::initialize().

◆ getSurrogateModel() [2/2]

template<>
SurrogateModel & SurrogateModelInterface::getSurrogateModel ( const std::string &  name) const
inherited

Definition at line 46 of file SurrogateModelInterface.C.

47{
48 return getSurrogateModelByName<SurrogateModel>(_smi_params.get<UserObjectName>(name));
49}

◆ getSurrogateModelByName() [1/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateModelByName ( const UserObjectName &  name) const
inherited

Get a sampler with a given name.

Parameters
nameThe name of the sampler to retrieve
Returns
The sampler with name 'name'

Definition at line 88 of file SurrogateModelInterface.h.

89{
90 std::vector<T *> models;
92 .query()
93 .condition<AttribName>(name)
94 .condition<AttribSystem>("SurrogateModel")
95 .queryInto(models);
96 if (models.empty())
97 mooseError("Unable to find a SurrogateModel object of type " + std::string(typeid(T).name()) +
98 " with the name '" + name + "'");
99 return *(models[0]);
100}
FEProblemBase & _smi_feproblem
Reference to FEProblemBase instance.

Referenced by CrossValidationScores::CrossValidationScores(), EvaluateSurrogate::EvaluateSurrogate(), and InverseMapping::initialSetup().

◆ getSurrogateModelByName() [2/2]

template<>
SurrogateModel & SurrogateModelInterface::getSurrogateModelByName ( const UserObjectName &  name) const
inherited

Definition at line 31 of file SurrogateModelInterface.C.

32{
33 std::vector<SurrogateModel *> models;
35 .query()
36 .condition<AttribName>(name)
37 .condition<AttribSystem>("SurrogateModel")
38 .queryInto(models);
39 if (models.empty())
40 mooseError("Unable to find a SurrogateModel object with the name '" + name + "'");
41 return *(models[0]);
42}

◆ getSurrogateTrainer() [1/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateTrainer ( const std::string &  name) const
inherited

Definition at line 104 of file SurrogateModelInterface.h.

105{
106 return getSurrogateTrainerByName<T>(_smi_params.get<UserObjectName>(name));
107}

◆ getSurrogateTrainer() [2/2]

template<>
SurrogateTrainerBase & SurrogateModelInterface::getSurrogateTrainer ( const std::string &  name) const
inherited

Definition at line 60 of file SurrogateModelInterface.C.

61{
62 return getSurrogateTrainerByName<SurrogateTrainerBase>(_smi_params.get<UserObjectName>(name));
63}

◆ getSurrogateTrainerByName() [1/2]

template<typename T >
T & SurrogateModelInterface::getSurrogateTrainerByName ( const UserObjectName &  name) const
inherited

Definition at line 111 of file SurrogateModelInterface.h.

112{
113 SurrogateTrainerBase * base_ptr =
115 T * obj_ptr = dynamic_cast<T *>(base_ptr);
116 if (!obj_ptr)
117 mooseError("Failed to find a SurrogateTrainer object of type " + std::string(typeid(T).name()) +
118 " with the name '",
119 name,
120 "' for the desired type.");
121 return *obj_ptr;
122}
T & getUserObject(const std::string &name, unsigned int tid=0) const
const THREAD_ID _smi_tid
Thread ID.

Referenced by SurrogateTrainerOutput::output().

◆ getSurrogateTrainerByName() [2/2]

template<>
SurrogateTrainerBase & SurrogateModelInterface::getSurrogateTrainerByName ( const UserObjectName &  name) const
inherited

Definition at line 53 of file SurrogateModelInterface.C.

◆ getTrainingStandardizer()

const StochasticTools::Standardizer & ActiveLearningGaussianProcess::getTrainingStandardizer ( ) const

Return the training data outputs standardizer.

Definition at line 137 of file ActiveLearningGaussianProcess.C.

138{
139 return _gp.getDataStandardizer();
140}
const StochasticTools::Standardizer & getDataStandardizer() const

◆ gp()

StochasticTools::GaussianProcess & ActiveLearningGaussianProcess::gp ( )
inline

Definition at line 43 of file ActiveLearningGaussianProcess.h.

43{ return _gp; }

◆ hasModelData()

bool RestartableModelInterface::hasModelData ( ) const
inherited

Check if we need to load model data (if the filename parameter is used)

Definition at line 39 of file RestartableModelInterface.C.

40{
41 return _model_object.isParamValid("filename");
42}
bool isParamValid(const std::string &name) const

◆ initialize()

virtual void ActiveLearningGaussianProcess::initialize ( )
inlinefinalvirtual

Reimplemented from SurrogateTrainerBase.

Definition at line 38 of file ActiveLearningGaussianProcess.h.

38{}

◆ modelMetaDataName()

const std::string & RestartableModelInterface::modelMetaDataName ( ) const
inlineinherited

Accessor for the name of the model meta data.

Definition at line 47 of file RestartableModelInterface.h.

47{ return _model_meta_data_name; }
const std::string _model_meta_data_name
The model meta data name.

Referenced by MappingOutput::output(), and SurrogateTrainerOutput::output().

◆ reTrain()

void ActiveLearningGaussianProcess::reTrain ( const std::vector< std::vector< Real > > &  inputs,
const std::vector< Real > &  outputs 
) const
finalvirtual

Definition at line 80 of file ActiveLearningGaussianProcess.C.

82{
83 // Addtional error check for each re-train call of the GP surrogate
84 if (inputs.size() != outputs.size())
85 mooseError("Number of inputs (",
86 inputs.size(),
87 ") does not match number of outputs (",
88 outputs.size(),
89 ").");
90 if (inputs.empty())
91 mooseError("There is no data for retraining.");
92
93 const auto input_size = inputs[0].size();
94 std::vector<Real> flat_inputs;
95 flat_inputs.reserve(outputs.size() * input_size);
96
97 for (const auto & input : inputs)
98 {
99 if (input.size() != input_size)
100 mooseError("All active learning retraining inputs must have the same dimension.");
101 flat_inputs.insert(flat_inputs.end(), input.begin(), input.end());
102 }
103
105 flat_inputs, {cast_int<int64_t>(outputs.size()), cast_int<int64_t>(input_size)});
107 LibtorchUtils::vectorToTensorCopy(outputs, {cast_int<int64_t>(outputs.size()), 1});
108
111
112 // Standardize (center and scale) training params
115 // if not standardizing data set mean=0, std=1 for use in surrogate
116 else
117 _gp.paramStandardizer().set(0, 1, input_size);
118
119 // Standardize (center and scale) training data
122 // if not standardizing data set mean=0, std=1 for use in surrogate
123 else
124 _gp.dataStandardizer().set(0, 1);
125
126 // Setup the covariance
128}
torch::DeviceType getLibtorchDevice() const
void mooseError(Args &&... args) const
void standardizeParameters(torch::Tensor &parameters, bool keep_moments=false)
Standardizes the vector of input parameters (x values).
StochasticTools::Standardizer & paramStandardizer()
Get non-constant reference to the contained structures (if they need to be modified from the utside)
StochasticTools::Standardizer & dataStandardizer()
void standardizeData(torch::Tensor &data, bool keep_moments=false)
Standardizes the vector of responses (y values).
void setupCovarianceMatrix(const torch::Tensor &training_params, const torch::Tensor &training_data, const GPOptimizerOptions &opts)
Sets up the covariance matrix given data and optimization options.
void set(const Real &n)
Methods for setting mean and standard deviation directly Sets mean=0, std=1 for n variables.
void moveToLibtorchDevice(torch::Tensor &tensor, const torch::DeviceType device_type)
torch::Tensor vectorToTensorCopy(const std::vector< DataType > &vector, c10::IntArrayRef sizes)

Referenced by ActiveLearningGPDecision::preNeedSample(), and BiFidelityActiveLearningGPDecision::preNeedSample().

◆ threadJoin()

virtual void SurrogateTrainerBase::threadJoin ( const UserObject )
inlinefinalvirtualinherited

Reimplemented from GeneralUserObject.

Definition at line 40 of file SurrogateTrainer.h.

40{} // GeneralUserObjects are not threaded

◆ validParams()

InputParameters ActiveLearningGaussianProcess::validParams ( )
static

Definition at line 24 of file ActiveLearningGaussianProcess.C.

25{
28 "Permit re-training Gaussian Process surrogate model for active learning.");
29 params.addRequiredParam<UserObjectName>("covariance_function", "Name of covariance function.");
30 params.addParam<bool>(
31 "standardize_params", true, "Standardize (center and scale) training parameters (x values)");
32 params.addParam<bool>(
33 "standardize_data", true, "Standardize (center and scale) training data (y values)");
34 params.addParam<unsigned int>("num_iters", 1000, "Tolerance value for Adam optimization");
35 params.addParam<unsigned int>("batch_size", 0, "The batch size for Adam optimization");
36 params.addParam<Real>("learning_rate", 0.001, "The learning rate for Adam optimization");
37 params.addParam<MooseEnum>(
38 "optimizer",
39 MooseEnum("adam=0 legacy_adam=1", "adam"),
40 "The Adam optimizer semantics to use for Gaussian process hyperparameter tuning.");
41 params.addParam<unsigned int>(
42 "show_every_nth_iteration",
43 0,
44 "Switch to show Adam optimization loss values at every nth step. If 0, nothing is showed.");
45 params.addParam<std::vector<std::string>>(
46 "tune_parameters", {}, "Select hyperparameters to be tuned");
47 params.addParam<std::vector<Real>>("tuning_min", {}, "Minimum allowable tuning value");
48 params.addParam<std::vector<Real>>("tuning_max", {}, "Maximum allowable tuning value");
49 return params;
50}
void addRequiredParam(const std::string &name, const std::string &doc_string)
void addParam(const std::string &name, const std::initializer_list< typename T::value_type > &value, const std::string &doc_string)
void addClassDescription(const std::string &doc_string)
static InputParameters validParams()

Member Data Documentation

◆ _covar_feproblem

FEProblemBase& CovarianceInterface::_covar_feproblem
privateinherited

Reference to FEProblemBase instance.

Definition at line 31 of file CovarianceInterface.h.

Referenced by CovarianceInterface::getCovarianceFunctionByName().

◆ _gp

StochasticTools::GaussianProcess& ActiveLearningGaussianProcess::_gp
private

◆ _model_meta_data_name

const std::string ActiveLearningGaussianProcess::_model_meta_data_name
private

Name for the meta data associated with training.

Definition at line 64 of file ActiveLearningGaussianProcess.h.

◆ _model_object

const MooseObject& RestartableModelInterface::_model_object
privateinherited

◆ _model_restartable

PublicRestartable RestartableModelInterface::_model_restartable
privateinherited

Member for interfacing with the framework's restartable system.

We need this because we would like to have the capability to handle the model data separately from the other data members used for checkpointing.

Definition at line 68 of file RestartableModelInterface.h.

Referenced by RestartableModelInterface::declareModelData(), and RestartableModelInterface::getModelData().

◆ _optimization_opts

const StochasticTools::GaussianProcess::GPOptimizerOptions ActiveLearningGaussianProcess::_optimization_opts
private

Struct holding parameters necessary for parameter tuning.

Definition at line 82 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().

◆ _smi_feproblem

FEProblemBase& SurrogateModelInterface::_smi_feproblem
privateinherited

◆ _smi_params

const InputParameters& SurrogateModelInterface::_smi_params
privateinherited

Parameters of the object with this interface.

Definition at line 70 of file SurrogateModelInterface.h.

Referenced by SurrogateModelInterface::getSurrogateModel(), and SurrogateModelInterface::getSurrogateTrainer().

◆ _smi_tid

const THREAD_ID SurrogateModelInterface::_smi_tid
privateinherited

Thread ID.

Definition at line 76 of file SurrogateModelInterface.h.

Referenced by SurrogateModelInterface::getSurrogateTrainerByName().

◆ _standardize_data

bool ActiveLearningGaussianProcess::_standardize_data
private

Switch for training data(y) standardization.

Definition at line 79 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().

◆ _standardize_params

bool ActiveLearningGaussianProcess::_standardize_params
private

Switch for training param (x) standardization.

Definition at line 76 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().

◆ _training_data

torch::Tensor& ActiveLearningGaussianProcess::_training_data
private

Outputs (y) used for training, along with statistics.

Definition at line 73 of file ActiveLearningGaussianProcess.h.

Referenced by getNormTrainingOuts(), and reTrain().

◆ _training_params

torch::Tensor& ActiveLearningGaussianProcess::_training_params
private

Paramaters (x) used for training, along with statistics.

Definition at line 70 of file ActiveLearningGaussianProcess.h.

Referenced by reTrain().


The documentation for this class was generated from the following files: