1/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16// Functors for 3d convolution.
17
18#ifndef TENSORFLOW_CORE_KERNELS_CONV_3D_H_
19#define TENSORFLOW_CORE_KERNELS_CONV_3D_H_
20
21#include "tensorflow/core/framework/tensor_types.h"
22#include "tensorflow/core/kernels/eigen_backward_cuboid_convolutions.h"
23#include "tensorflow/core/kernels/eigen_cuboid_convolution.h"
24
25namespace tensorflow {
26namespace functor {
27
28// Applies a 3D convolution to a batch of multi-channel volumes.
29template <typename Device, typename T>
30struct CuboidConvolution;
31
32// Backward input pass for the cuboid convolution.
33template <typename Device, typename T>
34struct CuboidConvolutionBackwardInput;
35
36// Backward filter pass for the cuboid convolution.
37template <typename Device, typename T>
38struct CuboidConvolutionBackwardFilter;
39
40typedef Eigen::ThreadPoolDevice CPUDevice;
41
42template <typename T>
43struct CuboidConvolution<CPUDevice, T> {
44 void operator()(const CPUDevice& d, typename TTypes<T, 5>::Tensor output,
45 typename TTypes<T, 5>::ConstTensor input,
46 typename TTypes<T, 5>::ConstTensor filter, int stride_planes,
47 int stride_rows, int stride_cols,
48 const Eigen::PaddingType& padding) {
49 output.device(d) = Eigen::CuboidConvolution(
50 input, filter, stride_planes, stride_rows, stride_cols, padding);
51 }
52};
53
54template <typename T>
55struct CuboidConvolutionBackwardInput<CPUDevice, T> {
56 void operator()(const CPUDevice& d,
57 typename TTypes<T, 5>::Tensor input_backward,
58 typename TTypes<T, 5>::ConstTensor filter,
59 typename TTypes<T, 5>::ConstTensor output_backward,
60 int stride_planes, int stride_rows, int stride_cols) {
61 // Need to swap the order of plane/row/col strides when calling Eigen.
62 input_backward.device(d) = Eigen::CuboidConvolutionBackwardInput(
63 filter, output_backward,
64 input_backward.dimension(3), // input_planes
65 input_backward.dimension(2), // input_rows
66 input_backward.dimension(1), // input_cols
67 stride_cols, stride_rows, stride_planes);
68 }
69};
70
71template <typename T>
72struct CuboidConvolutionBackwardFilter<CPUDevice, T> {
73 void operator()(const CPUDevice& d,
74 typename TTypes<T, 5>::Tensor filter_backward,
75 typename TTypes<T, 5>::ConstTensor input,
76 typename TTypes<T, 5>::ConstTensor output_backward,
77 int stride_planes, int stride_rows, int stride_cols) {
78 // Need to swap the order of plane/row/col strides when calling Eigen.
79 filter_backward.device(d) = Eigen::CuboidConvolutionBackwardKernel(
80 input, output_backward,
81 filter_backward.dimension(2), // kernel_planes
82 filter_backward.dimension(1), // kernel_rows
83 filter_backward.dimension(0), // kernel_cols
84 stride_cols, stride_rows, stride_planes);
85 }
86};
87
88} // namespace functor
89} // namespace tensorflow
90
91#endif // TENSORFLOW_CORE_KERNELS_CONV_3D_H_
92