1/* Copyright 2015 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_POOLING_OPS_3D_H_
17#define TENSORFLOW_CORE_KERNELS_POOLING_OPS_3D_H_
18
19#include "tensorflow/core/framework/op_kernel.h"
20#include "tensorflow/core/util/padding.h"
21#include "tensorflow/core/util/tensor_format.h"
22
23namespace tensorflow {
24
25enum PoolingType { MAX, AVG };
26
27template <typename Device, typename T, PoolingType Type>
28struct LaunchPoolingOp;
29
30template <typename Device, typename T>
31struct LaunchAvgPooling3dGradOp;
32
33template <typename Device, typename T>
34struct LaunchMaxPooling3dGradOp;
35
36template <typename Device, typename T>
37struct LaunchMaxPooling3dGradGradOp;
38
39// A helper class to manage sizes and shapes for 3d pooling operations.
40struct Pool3dParameters {
41 // Updates context->status if there is an invalid input.
42 Pool3dParameters(OpKernelContext* context, const std::vector<int32>& ksize,
43 const std::vector<int32>& stride, Padding padding,
44 TensorFormat data_format,
45 const TensorShape& tensor_in_shape);
46
47 // Returns the shape of the output for "forward" pooling operations.
48 TensorShape forward_output_shape();
49
50 int depth;
51
52 int tensor_in_planes;
53 int tensor_in_cols;
54 int tensor_in_rows;
55 int tensor_in_batch;
56
57 int window_planes;
58 int window_cols;
59 int window_rows;
60 int depth_window;
61
62 int plane_stride;
63 int col_stride;
64 int row_stride;
65 int depth_stride;
66
67 int64_t out_plane;
68 int64_t out_height;
69 int64_t out_width;
70
71 int64_t pad_planes;
72 int64_t pad_cols;
73 int64_t pad_rows;
74
75 TensorFormat data_format;
76};
77
78} // namespace tensorflow
79
80#endif // TENSORFLOW_CORE_KERNELS_POOLING_OPS_3D_H_
81