EVOLUTION-MANAGER

Edit File: conv_3d.h

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

// Functors for 3d convolution.

#ifndef TENSORFLOW_CORE_KERNELS_CONV_3D_H_
#define TENSORFLOW_CORE_KERNELS_CONV_3D_H_

#include "tensorflow/core/framework/tensor_types.h"
#include "tensorflow/core/kernels/eigen_backward_cuboid_convolutions.h"
#include "tensorflow/core/kernels/eigen_cuboid_convolution.h"

namespace tensorflow {
namespace functor {

// Applies a 3D convolution to a batch of multi-channel volumes.
template <typename Device, typename T>
struct CuboidConvolution;

// Backward input pass for the cuboid convolution.
template <typename Device, typename T>
struct CuboidConvolutionBackwardInput;

// Backward filter pass for the cuboid convolution.
template <typename Device, typename T>
struct CuboidConvolutionBackwardFilter;

typedef Eigen::ThreadPoolDevice CPUDevice;

template <typename T>
struct CuboidConvolution<CPUDevice, T> {
  void operator()(const CPUDevice& d, typename TTypes<T, 5>::Tensor output,
                  typename TTypes<T, 5>::ConstTensor input,
                  typename TTypes<T, 5>::ConstTensor filter, int stride_planes,
                  int stride_rows, int stride_cols,
                  const Eigen::PaddingType& padding) {
    output.device(d) = Eigen::CuboidConvolution(
        input, filter, stride_planes, stride_rows, stride_cols, padding);
  }
};

template <typename T>
struct CuboidConvolutionBackwardInput<CPUDevice, T> {
  void operator()(const CPUDevice& d,
                  typename TTypes<T, 5>::Tensor input_backward,
                  typename TTypes<T, 5>::ConstTensor filter,
                  typename TTypes<T, 5>::ConstTensor output_backward,
                  int stride_planes, int stride_rows, int stride_cols) {
    // Need to swap the order of plane/row/col strides when calling Eigen.
    input_backward.device(d) = Eigen::CuboidConvolutionBackwardInput(
        filter, output_backward,
        input_backward.dimension(3),  // input_planes
        input_backward.dimension(2),  // input_rows
        input_backward.dimension(1),  // input_cols
        stride_cols, stride_rows, stride_planes);
  }
};

template <typename T>
struct CuboidConvolutionBackwardFilter<CPUDevice, T> {
  void operator()(const CPUDevice& d,
                  typename TTypes<T, 5>::Tensor filter_backward,
                  typename TTypes<T, 5>::ConstTensor input,
                  typename TTypes<T, 5>::ConstTensor output_backward,
                  int stride_planes, int stride_rows, int stride_cols) {
    // Need to swap the order of plane/row/col strides when calling Eigen.
    filter_backward.device(d) = Eigen::CuboidConvolutionBackwardKernel(
        input, output_backward,
        filter_backward.dimension(2),  // kernel_planes
        filter_backward.dimension(1),  // kernel_rows
        filter_backward.dimension(0),  // kernel_cols
        stride_cols, stride_rows, stride_planes);
  }
};

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_KERNELS_CONV_3D_H_