EVOLUTION-MANAGER

Edit File: depthtospace_op.h

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==============================================================================*/

#ifndef TENSORFLOW_CORE_KERNELS_DEPTHTOSPACE_OP_H_
#define TENSORFLOW_CORE_KERNELS_DEPTHTOSPACE_OP_H_

#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
#include "tensorflow/core/framework/tensor_types.h"
#include "tensorflow/core/util/tensor_format.h"

namespace tensorflow {
namespace functor {

// Functor used by DepthToSpaceOp to do the computations.
// Implements a family of Depth to Space transforms for a 4D 'input' tensor
// to a 4D 'output' tensor, both tensors use type 'T' and layout 'data_format'.
// These transforms multiply the vertical and horizontal image sizes by
// 'block_size', and divide the depth dimension by (block_size * block_size)
// which must divide evenly.
// Each pixel in the input image is converted to a square block of pixels in
// the output image. The Y, X coordinates within each block comes from the
// high component of the input depth (channel) index.
// e.g. for data_format = NHWC:
//      Each element in the input tensor can be specified via 6 coordinates,
//      ordered by decreasing memory layout significance as:
//      n,iY,iX,bY,bX,oC  (where n=batch index, iX, iY means X or Y coordinates
//                         within the input image, bX, bY means coordinates
//                         within the output block, oC means output channel).
//      The output would be a transpose to the following layout:
//      n,iY,bY,iX,bX,oC
template <typename Device, typename T, TensorFormat data_format>
struct DepthToSpaceOpFunctor {
  void operator()(const Device& d, typename TTypes<T, 4>::ConstTensor input,
                  int block_size, typename TTypes<T, 4>::Tensor output);

// This 5-D version is to support NCHW_VECT_C.
  void operator()(const Device& d, typename TTypes<T, 5>::ConstTensor input,
                  int block_size, typename TTypes<T, 5>::Tensor output);
};

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_KERNELS_DEPTHTOSPACE_OP_H_