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_FILL_FUNCTOR_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_FILL_FUNCTOR_H_ |
18 | |
19 | #define EIGEN_USE_THREADS |
20 | |
21 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
22 | #include "tensorflow/core/framework/tensor_types.h" |
23 | #include "tensorflow/core/framework/types.h" |
24 | |
25 | namespace tensorflow { |
26 | namespace functor { |
27 | |
28 | template <typename Device, typename T> |
29 | struct FillFunctor { |
30 | // Computes on device "d": out = out.constant(in(0)), |
31 | void operator()(const Device& d, typename TTypes<T>::Flat out, |
32 | typename TTypes<T>::ConstScalar in); |
33 | }; |
34 | |
35 | template <typename Device, typename T> |
36 | struct SetZeroFunctor { |
37 | // Computes on device "d": out = out.setZero(), |
38 | void operator()(const Device& d, typename TTypes<T>::Flat out); |
39 | }; |
40 | |
41 | // Partial specialization of SetZeroFunctor<Device=Eigen::ThreadPoolDevice, T>. |
42 | template <typename T> |
43 | struct SetZeroFunctor<Eigen::ThreadPoolDevice, T> { |
44 | void operator()(const Eigen::ThreadPoolDevice& d, |
45 | typename TTypes<T>::Flat out); |
46 | }; |
47 | |
48 | |
49 | template <> |
50 | struct SetZeroFunctor<Eigen::ThreadPoolDevice, tstring> { |
51 | void operator()(const Eigen::ThreadPoolDevice& d, |
52 | typename TTypes<tstring>::Flat out); |
53 | }; |
54 | |
55 | template <typename Device, typename T> |
56 | struct SetOneFunctor { |
57 | // Computes on device "d": out = out.setOne(), |
58 | void operator()(const Device& d, typename TTypes<T>::Flat out); |
59 | }; |
60 | |
61 | // Partial specialization of SetOneFunctor<Device=Eigen::ThreadPoolDevice, T>. |
62 | template <typename T> |
63 | struct SetOneFunctor<Eigen::ThreadPoolDevice, T> { |
64 | void operator()(const Eigen::ThreadPoolDevice& d, |
65 | typename TTypes<T>::Flat out); |
66 | }; |
67 | |
68 | |
69 | template <> |
70 | struct SetOneFunctor<Eigen::ThreadPoolDevice, tstring> { |
71 | void operator()(const Eigen::ThreadPoolDevice& d, |
72 | typename TTypes<tstring>::Flat out); |
73 | }; |
74 | |
75 | template <typename Device, typename T> |
76 | struct SetNanFunctor { |
77 | void operator()(const Device& d, typename TTypes<T>::Flat out); |
78 | }; |
79 | |
80 | // Partial specialization of SetNanFunctor<Device=Eigen::ThreadPoolDevice, T>. |
81 | template <typename T> |
82 | struct SetNanFunctor<Eigen::ThreadPoolDevice, T> { |
83 | void operator()(const Eigen::ThreadPoolDevice& d, |
84 | typename TTypes<T>::Flat out); |
85 | }; |
86 | |
87 | template <> |
88 | struct SetNanFunctor<Eigen::ThreadPoolDevice, tstring> { |
89 | void operator()(const Eigen::ThreadPoolDevice& d, |
90 | typename TTypes<tstring>::Flat out); |
91 | }; |
92 | |
93 | } // namespace functor |
94 | } // namespace tensorflow |
95 | |
96 | #endif // TENSORFLOW_CORE_KERNELS_FILL_FUNCTOR_H_ |
97 | |