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/*
 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * 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 "ConstantInitializer.h"

namespace neurun
{
namespace backend
{
namespace cpu
{

ConstantInitializer::ConstantInitializer(const model::Operands &operands,
                                         const std::shared_ptr<TensorBuilder> &tensor_builder)
    : _operands{operands}, _tensor_builder{tensor_builder}
{
  // DO NOTHING
}

void ConstantInitializer::run()
{
  for (const auto &it : _init_map)
  {
    const auto &ind = it.first;
    const auto &fn = it.second;

    const auto &model_obj = _operands.at(ind);
    auto tensor_obj = _tensor_builder->wrapTensor(ind);
    fn(model_obj, *tensor_obj);
  }

  _init_map.clear();
}

void ConstantInitializer::visit(const model::operation::Conv2DNode &node)
{
  const auto &kernel_index = node.getInputs().at(model::operation::Conv2DNode::KERNEL);
  const auto &kernel_obj = _operands.at(kernel_index);
  registerCopyInitializer(kernel_index, kernel_obj);

  const auto &bias_index = node.getInputs().at(model::operation::Conv2DNode::BIAS);
  const auto &bias_obj = _operands.at(bias_index);
  registerCopyInitializer(bias_index, bias_obj);
}

void ConstantInitializer::visit(const model::operation::DepthwiseConv2DNode &node)
{
  const auto &kernel_index = node.getInputs().at(model::operation::DepthwiseConv2DNode::KERNEL);
  const auto &kernel_obj = _operands.at(kernel_index);
  registerCopyInitializer(kernel_index, kernel_obj);

  const auto &bias_index = node.getInputs().at(model::operation::DepthwiseConv2DNode::BIAS);
  const auto &bias_obj = _operands.at(bias_index);
  registerCopyInitializer(bias_index, bias_obj);
}

void ConstantInitializer::visit(const model::operation::FullyConnectedNode &node)
{
  const auto &weight_index = node.getInputs().at(model::operation::FullyConnectedNode::WEIGHT);
  const auto &weight_obj = _operands.at(weight_index);
  registerCopyInitializer(weight_index, weight_obj);

  const auto &bias_index = node.getInputs().at(model::operation::FullyConnectedNode::BIAS);
  const auto &bias_obj = _operands.at(bias_index);
  registerCopyInitializer(bias_index, bias_obj);
}

} // namespace cpu
} // namespace backend
} // namespace neurun