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_REVERSE_SEQUENCE_OP_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_REVERSE_SEQUENCE_OP_H_ |
18 | // Generator definition for ReverseSequenceOp, must be compilable by nvcc. |
19 | |
20 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
21 | #include "tensorflow/core/framework/tensor_types.h" |
22 | #include "tensorflow/core/platform/types.h" |
23 | |
24 | namespace tensorflow { |
25 | |
26 | namespace generator { |
27 | |
28 | template <typename T, typename Tlen, size_t Dims> |
29 | class ReverseGenerator { |
30 | public: |
31 | EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE ReverseGenerator( |
32 | typename TTypes<T, Dims>::ConstTensor input, int32_t batch_dim, |
33 | int32_t seq_dim, typename TTypes<Tlen>::ConstVec seq_lengths) |
34 | : input_(input), |
35 | batch_dim_(batch_dim), |
36 | seq_dim_(seq_dim), |
37 | seq_lengths_(seq_lengths) {} |
38 | |
39 | EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE T |
40 | operator()(const Eigen::array<Eigen::DenseIndex, Dims>& coords) const { |
41 | Eigen::array<Eigen::DenseIndex, Dims> new_coords = coords; |
42 | if (coords[seq_dim_] < seq_lengths_(coords[batch_dim_])) { |
43 | new_coords[seq_dim_] = |
44 | seq_lengths_(coords[batch_dim_]) - coords[seq_dim_] - 1; |
45 | } |
46 | |
47 | return input_(new_coords); |
48 | } |
49 | |
50 | private: |
51 | typename TTypes<T, Dims>::ConstTensor input_; |
52 | int32 batch_dim_; |
53 | int32 seq_dim_; |
54 | typename TTypes<Tlen>::ConstVec seq_lengths_; |
55 | }; |
56 | |
57 | } // namespace generator |
58 | |
59 | namespace functor { |
60 | |
61 | template <typename Device, typename T, typename Tlen, size_t Dims> |
62 | struct ReverseSequence { |
63 | EIGEN_ALWAYS_INLINE static void Compute( |
64 | const Device& d, typename TTypes<T, Dims>::ConstTensor input, |
65 | int32_t batch_dim, int32_t seq_dim, |
66 | typename TTypes<Tlen>::ConstVec seq_lengths, |
67 | typename TTypes<T, Dims>::Tensor output) { |
68 | generator::ReverseGenerator<T, Tlen, Dims> generator(input, batch_dim, |
69 | seq_dim, seq_lengths); |
70 | output.device(d) = input.generate(generator); |
71 | } |
72 | }; |
73 | |
74 | } // namespace functor |
75 | |
76 | } // namespace tensorflow |
77 | |
78 | #endif // TENSORFLOW_CORE_KERNELS_REVERSE_SEQUENCE_OP_H_ |
79 | |