text: ////////////////////////////////////////////////////////////////////////////////
  // Copyright (c) 2014-2019, 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.
  ////////////////////////////////////////////////////////////////////////////////
  #include "lbann/utils/serialize.hpp"
  #include <lbann/layers/misc/mini_batch_index.hpp>
  
  namespace lbann {
  
  template <typename TensorDataType, data_layout Layout, El::Device Device>
  template <typename ArchiveT>
  void
  mini_batch_index_layer<TensorDataType,Layout,Device>
  ::serialize(ArchiveT& ar)
  {
    using DataTypeLayer = data_type_layer<TensorDataType>;
    ar(::cereal::make_nvp("DataTypeLayer",
                          ::cereal::base_class<DataTypeLayer>(this)));
  }
  
  } // namespace lbann
  
  #define LBANN_LAYER_NAME mini_batch_index_layer
  #include <lbann/macros/register_layer_with_cereal.hpp>
  