/*
 * 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 "exec/Execution.h"

#include "util/logging.h"

namespace neurun
{
namespace exec
{

Execution::Execution(const std::shared_ptr<IExecutor> &executor) : _executor{executor}
{
  _io_desc.inputs.resize(_executor->model().inputs.size());
  _io_desc.outputs.resize(_executor->model().outputs.size());
}

void Execution::setInput(const model::IOIndex &index, const void *buffer, size_t length)
{
  const auto input_index = model().inputs.at(index);
  const auto info = model().operands.at(input_index).info();

  if (length < info.total_size())
  {
    throw std::runtime_error{"Too small length"};
  }

  _io_desc.inputs.at(index.value()) = nnfw::cpp14::make_unique<InputDesc>(info, buffer, length);
}

void Execution::setInput(const model::IOIndex &index, const model::TypeInfo &type,
                         const model::Shape &shape, const void *buffer, size_t length)
{
  const model::OperandInfo info{shape, type};

  if (length < info.total_size())
  {
    throw std::runtime_error{"Too small length"};
  }

  _io_desc.inputs.at(index.value()) = nnfw::cpp14::make_unique<InputDesc>(info, buffer, length);
}

void Execution::setOutput(const model::IOIndex &index, void *buffer, size_t length)
{
  const auto output_index = model().outputs.at(index);
  const auto info = model().operands.at(output_index).info();

  if (length < info.total_size())
  {
    throw std::runtime_error{"Too small length"};
  }

  _io_desc.outputs.at(index.value()) = nnfw::cpp14::make_unique<OutputDesc>(info, buffer, length);
}

void Execution::setOutput(const model::IOIndex &index, const model::TypeInfo &type,
                          const model::Shape &shape, void *buffer, size_t length)
{
  const model::OperandInfo info{shape, type};

  if (length < info.total_size())
  {
    throw std::runtime_error{"Too small length"};
  }

  _io_desc.outputs.at(index.value()) = nnfw::cpp14::make_unique<OutputDesc>(info, buffer, length);
}

void Execution::execute()
{
  VERBOSE(Execution) << "Start execution" << std::endl;

  _executor->execute(_io_desc);

  VERBOSE(Execution) << "Execution finished" << std::endl;
}

void Execution::startExecute()
{
  VERBOSE(Execution) << "Create asynchronous execution thread" << std::endl;

  _exec_thread = nnfw::cpp14::make_unique<std::thread>(&Execution::execute, this);
}

void Execution::waitFinish()
{
  VERBOSE(Execution) << "Wait to finish execution" << std::endl;

  _exec_thread->join();
}

} // namespace exec
} // namespace neurun