LibtorchANNTrainer.h

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//* This file is part of the MOOSE framework
//* https://mooseframework.inl.gov
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html

#ifdef LIBTORCH_ENABLED

#pragma once

#include <torch/torch.h>
#include "LibtorchArtificialNeuralNet.h"
#include "LibtorchArtificialNeuralNetTrainer.h"
#include "libmesh/utility.h"
#include "SurrogateTrainer.h"
#include "Standardizer.h"
#include "LibtorchUtils.h"

class LibtorchANNTrainer : public SurrogateTrainer
{
public:
  static InputParameters validParams();

  LibtorchANNTrainer(const InputParameters & parameters);

  virtual void preTrain() override;

  virtual void train() override;

  virtual void postTrain() override;

private:
  const std::vector<Real> & _predictor_row;

  std::vector<Real> _flattened_data;

  std::vector<Real> _flattened_response;

  std::vector<unsigned int> & _num_neurons_per_layer;

  std::vector<std::string> & _activation_function;

  const std::string _nn_filename;

  const bool _read_from_file;

  Moose::LibtorchTrainingOptions _optim_options;

  std::shared_ptr<Moose::LibtorchArtificialNeuralNet> & _nn;

  const bool _standardize_input;

  const bool _standardize_output;

  StochasticTools::Standardizer & _input_standardizer;

  StochasticTools::Standardizer & _output_standardizer;
};

#endif