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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.
 */

#ifndef __NEURUN_BACKEND_SRCN_OPERAND_TENSOR_H__
#define __NEURUN_BACKEND_SRCN_OPERAND_TENSOR_H__

#include <backend/operand/ITensor.h>
#include "model/OperandInfo.h"

namespace neurun
{
namespace backend
{
namespace srcn
{
namespace operand
{

class Tensor : public ::neurun::backend::operand::ITensor
{
public:
  Tensor() = delete;

public:
  Tensor(const model::OperandInfo &info) : _info(info)
  {
    // DO NOTHING
  }

public:
  void setBuffer(uint8_t *buffer) { _buffer = buffer; }
  ::neurun::model::DataType data_type() const { return _info.typeInfo().type(); }

public:
  uint8_t *buffer() const override { return _buffer; }
  /**
   * @brief Get dimension by index
   *
   * @param index Index to get diemension
   * @return size_t Dimension at index
   * @note N : dimension(0)
   *       H : dimension(1)
   *       W : dimension(2)
   *       C : dimension(3)
   */
  size_t dimension(size_t index) const override { return _info.shape().dim(index); }
  size_t num_dimensions() const override { return _info.shape().rank(); }
  size_t total_size() const override { return _info.total_size(); }
  size_t calcOffset(const neurun::util::Coordinates &coords) const override;
  model::Layout layout() const override { return model::Layout::NHWC; }
  bool has_padding() const override { return false; }

private:
  model::OperandInfo _info;
  uint8_t *_buffer = nullptr;
};

} // namespace operand
} // namespace srcn
} // namespace backend
} // namespace neurun

#endif // __NEURUN_BACKEND_SRCN_OPERAND_TENSOR_H__