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#ifndef TENSORFLOW_CORE_KERNELS_DILATION_OPS_H_
17#define TENSORFLOW_CORE_KERNELS_DILATION_OPS_H_
18
19#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
20#include "tensorflow/core/framework/tensor_types.h"
21#include "tensorflow/core/platform/types.h"
22
23namespace tensorflow {
24namespace functor {
25
26template <typename Device, typename T>
27struct Dilation {
28 // We assume that the tensor sizes are correct.
29 void operator()(const Device& d, typename TTypes<T, 4>::ConstTensor input,
30 typename TTypes<T, 3>::ConstTensor filter, int stride_rows,
31 int stride_cols, int rate_rows, int rate_cols, int pad_top,
32 int pad_left, typename TTypes<T, 4>::Tensor output);
33};
34
35template <typename Device, typename T>
36struct DilationBackpropInput {
37 // We assume that the tensor sizes are correct.
38 // To avoid storing the argmax values during forward computation, we recompute
39 // the argmax during backward computation, which is the reason why we provide
40 // filter as argument to the backward computation routine.
41 void operator()(const Device& d, typename TTypes<T, 4>::ConstTensor input,
42 typename TTypes<T, 3>::ConstTensor filter,
43 typename TTypes<T, 4>::ConstTensor out_backprop,
44 int stride_rows, int stride_cols, int rate_rows,
45 int rate_cols, int pad_top, int pad_left,
46 typename TTypes<T, 4>::Tensor in_backprop);
47};
48
49template <typename Device, typename T>
50struct DilationBackpropFilter {
51 // We assume that the tensor sizes are correct.
52 // To avoid storing the argmax values during forward computation, we recompute
53 // the argmax during backward computation, which is the reason why we provide
54 // filter as argument to the backward computation routine.
55 void operator()(const Device& d, typename TTypes<T, 4>::ConstTensor input,
56 typename TTypes<T, 3>::ConstTensor filter,
57 typename TTypes<T, 4>::ConstTensor out_backprop,
58 int stride_rows, int stride_cols, int rate_rows,
59 int rate_cols, int pad_top, int pad_left,
60 typename TTypes<T, 3>::Tensor filter_backprop);
61};
62
63} // namespace functor
64} // namespace tensorflow
65
66#endif // TENSORFLOW_CORE_KERNELS_DILATION_OPS_H_
67