dataset.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_DATASET_HPP_INCLUDED
#define LBANN_DATASET_HPP_INCLUDED

namespace lbann {

class dataset
{
public:
  dataset() : m_num_samples_processed(0), m_total_samples(0){};
  // The associated model/IO layer using this dataset is responsible for copying
  // the data reader.
  dataset(const dataset& other) = default;
  dataset& operator=(const dataset& other) = default;
  template <class Archive>
  void serialize(Archive& ar);

  long get_num_samples_processed() const { return m_num_samples_processed; }
  long& num_samples_processed() { return m_num_samples_processed; }
  long get_total_samples() const { return m_total_samples; }
  long& total_samples() { return m_total_samples; }

protected:
  long m_num_samples_processed;
  long m_total_samples;
};

} // namespace lbann

#endif // LBANN_DATASET_HPP_INCLUDED