Line data    Source code

       1             : //* This file is part of the MOOSE framework
       2             : //* https://mooseframework.inl.gov
       3             : //*
       4             : //* All rights reserved, see COPYRIGHT for full restrictions
       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             : #ifdef MOOSE_LIBTORCH_ENABLED
      10             : 
      11             : #pragma once
      12             : 
      13             : #include "SurrogateModel.h"
      14             : #include "Standardizer.h"
      15             : #include "CovarianceInterface.h"
      16             : #include "GaussianProcess.h"
      17             : 
      18             : #include "LibtorchUtils.h"
      19             : 
      20             : class GaussianProcessSurrogate : public SurrogateModel, public CovarianceInterface
      21             : {
      22             : public:
      23             :   static InputParameters validParams();
      24             :   GaussianProcessSurrogate(const InputParameters & parameters);
      25             :   using SurrogateModel::evaluate;
      26             :   virtual Real evaluate(const std::vector<Real> & x) const;
      27             :   virtual void evaluate(const std::vector<Real> & x, std::vector<Real> & y) const;
      28             :   virtual Real evaluate(const std::vector<Real> & x, Real & std) const;
      29             :   virtual void
      30             :   evaluate(const std::vector<Real> & x, std::vector<Real> & y, std::vector<Real> & std) const;
      31             : 
      32             :   /**
      33             :    * This function is called by LoadCovarianceDataAction when the surrogate is
      34             :    * loading training data from a file. The action must recreate the covariance
      35             :    * object before this surrogate can set the correct pointer.
      36             :    */
      37             :   virtual void setupCovariance(UserObjectName _covar_name);
      38             : 
      39             :   StochasticTools::GaussianProcess & gp() { return _gp; }
      40         128 :   const StochasticTools::GaussianProcess & getGP() const { return _gp; }
      41             : 
      42             : private:
      43             :   StochasticTools::GaussianProcess & _gp;
      44             : 
      45             :   /// Paramaters (x) used for training
      46             :   const torch::Tensor & _training_params;
      47             : };
      48             : 
      49             : #endif