objective_function_term.hpp

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// Copyright (c) 2014-2023, Lawrence Livermore National Security, LLC.
// Produced at the Lawrence Livermore National Laboratory.
// Written by the LBANN Research Team (B. Van Essen, et al.) listed in
// the CONTRIBUTORS file. <lbann-dev@llnl.gov>
//
// LLNL-CODE-697807.
// All rights reserved.
//
// This file is part of LBANN: Livermore Big Artificial Neural Network
// Toolkit. For details, see http://software.llnl.gov/LBANN or
// https://github.com/LLNL/LBANN.
//
// Licensed under the Apache License, Version 2.0 (the "Licensee"); you
// may not use this file except in compliance with the License.  You may
// obtain a copy of the License at:
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
// implied. See the License for the specific language governing
// permissions and limitations under the license.

#ifndef LBANN_OBJECTIVE_FUNCTION_TERM_HPP_INCLUDED
#define LBANN_OBJECTIVE_FUNCTION_TERM_HPP_INCLUDED

#include "lbann/base.hpp"

// Forward-declare protobuf classes
namespace lbann_data {
class ObjectiveFunction;
}

namespace lbann {

// Forward declarations
class Layer;
using ViewingLayerPtr = std::weak_ptr<Layer>;
class model;
class weights;
using ViewingWeightsPtr = std::weak_ptr<weights>;

class objective_function_term
{
public:
  objective_function_term(EvalType scale_factor = EvalType(1));

  objective_function_term(const objective_function_term& other) = default;
  objective_function_term&
  operator=(const objective_function_term& other) = default;
  virtual ~objective_function_term() = default;
  virtual objective_function_term* copy() const = 0;

  template <class Archive>
  void serialize(Archive& ar);

  virtual std::string name() const = 0;

  virtual void setup(model& m);

  virtual void start_evaluation() = 0;

  virtual EvalType finish_evaluation() = 0;

  virtual void differentiate() = 0;

  virtual void compute_weight_regularization() = 0;

  std::vector<ViewingLayerPtr> get_layer_pointers() const;
  void set_layer_pointers(std::vector<ViewingLayerPtr> layers);
  std::vector<ViewingWeightsPtr> get_weights_pointers() const;
  void set_weights_pointers(std::vector<ViewingWeightsPtr> w);

  virtual void
  write_specific_proto(lbann_data::ObjectiveFunction& proto) const = 0;

protected:
  EvalType m_scale_factor;

  std::vector<ViewingLayerPtr> m_layers;
  std::vector<ViewingWeightsPtr> m_weights;

  lbann_comm& get_comm() { return *m_comm; }

private:
  lbann_comm* m_comm;
};

} // namespace lbann

#endif // LBANN_OBJECTIVE_FUNCTION_TERM_INCLUDED