1 | /* Copyright 2015 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 | #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 | |
23 | namespace tensorflow { |
24 | |
25 | enum PoolingType { MAX, AVG }; |
26 | |
27 | template <typename Device, typename T, PoolingType Type> |
28 | struct LaunchPoolingOp; |
29 | |
30 | template <typename Device, typename T> |
31 | struct LaunchAvgPooling3dGradOp; |
32 | |
33 | template <typename Device, typename T> |
34 | struct LaunchMaxPooling3dGradOp; |
35 | |
36 | template <typename Device, typename T> |
37 | struct LaunchMaxPooling3dGradGradOp; |
38 | |
39 | // A helper class to manage sizes and shapes for 3d pooling operations. |
40 | struct 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 | |