1 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations 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 25 namespace tensorflow { 26 namespace functor { 27 28 // Applies a 3D convolution to a batch of multi-channel volumes. 29 template <typename Device, typename T> 30 struct CuboidConvolution; 31 32 // Backward input pass for the cuboid convolution. 33 template <typename Device, typename T> 34 struct CuboidConvolutionBackwardInput; 35 36 // Backward filter pass for the cuboid convolution. 37 template <typename Device, typename T> 38 struct CuboidConvolutionBackwardFilter; 39 40 typedef Eigen::ThreadPoolDevice CPUDevice; 41 42 template <typename T> 43 struct 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 54 template <typename T> 55 struct 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 71 template <typename T> 72 struct 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