////////////////////////////////////////////////////////////////////////////////
// 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.
////////////////////////////////////////////////////////////////////////////////

#include "lbann/layers/learning/channelwise_scale_bias.hpp"

namespace lbann {

namespace {
template <typename T, data_layout L, El::Device D>
struct Builder
{
  template <typename... Args>
  static std::unique_ptr<Layer> Build(Args&&...)
  {
    LBANN_ERROR("Attempted to instantiate layer \"channelwise_scale_bias\""
                "with Layout=",
                to_string(L),
                ".\nThis layer is only "
                "supported with DATA_PARALLEL data layout.");
    return nullptr;
  }
};

template <typename TensorDataType, El::Device Device>
struct Builder<TensorDataType, data_layout::DATA_PARALLEL, Device>
{
  template <typename... Args>
  static std::unique_ptr<Layer> Build(Args&&... args)
  {
    using LayerType = channelwise_scale_bias_layer<TensorDataType,
                                                   data_layout::DATA_PARALLEL,
                                                   Device>;
    return std::make_unique<LayerType>(std::forward<Args>(args)...);
  }
};
} // namespace

template <typename TensorDataType, data_layout Layout, El::Device Device>
std::unique_ptr<Layer>
build_channelwise_scale_bias_layer_from_pbuf(lbann_comm* comm,
                                             lbann_data::Layer const&)
{
  using BuilderType = Builder<TensorDataType, Layout, Device>;
  return BuilderType::Build(comm);
}

#define PROTO_DEVICE(T, Device)                                                \
  LBANN_LAYER_BUILDER_ETI(channelwise_scale_bias, T, Device)
#include "lbann/macros/instantiate_device.hpp"

} // namespace lbann
