DepthToSpace.h

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/*
 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright 2017 The TensorFlow Authors. 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 __NNFW_CKER_DEPTH_TO_SPACE_H__
#define __NNFW_CKER_DEPTH_TO_SPACE_H__
 
#include "cker/Shape.h"
#include "cker/Types.h"
 
namespace nnfw
{
namespace cker
{
 
template <typename T>
inline void DepthToSpace(const Shape &unextended_input_shape, const T *input_data,
                         const Shape &unextended_output_shape, T *output_data, int32_t block_size)
{
  assert(unextended_input_shape.DimensionsCount() <= 4);
  assert(unextended_output_shape.DimensionsCount() <= 4);
  const Shape input_shape = Shape::ExtendedShape(4, unextended_input_shape);
  const Shape output_shape = Shape::ExtendedShape(4, unextended_output_shape);
 
  const int input_depth = input_shape.Dims(3);
  const int input_width = input_shape.Dims(2);
  const int input_height = input_shape.Dims(1);
 
  const int output_depth = output_shape.Dims(3);
  const int batch_size = output_shape.Dims(0);
 
  // Number of continuous values that we can copy in one interation.
  const int stride = block_size * output_depth;
 
  for (int batch = 0; batch < batch_size; ++batch)
  {
    for (int in_h = 0; in_h < input_height; ++in_h)
    {
      const T *input_ptr = input_data + Offset(input_shape, batch, in_h, 0, 0);
      for (int offset_h = 0; offset_h < block_size; ++offset_h)
      {
        const T *src = input_ptr;
        for (int in_w = 0; in_w < input_width; ++in_w)
        {
          memcpy(output_data, src, stride * sizeof(T));
          output_data += stride;
          src += input_depth;
        }
        input_ptr += stride;
      }
    }
  }
}
 
} // namespace cker
} // namespace nnfw
 
#endif // __NNFW_CKER_SPACE_TO_DEPTH_H__