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_DENSE_UPDATE_FUNCTOR_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_DENSE_UPDATE_FUNCTOR_H_ |
18 | |
19 | #define EIGEN_USE_THREADS |
20 | |
21 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
22 | #include "tensorflow/core/framework/op_kernel.h" |
23 | #include "tensorflow/core/framework/tensor_types.h" |
24 | |
25 | namespace tensorflow { |
26 | |
27 | typedef Eigen::ThreadPoolDevice CPUDevice; |
28 | typedef Eigen::GpuDevice GPUDevice; |
29 | |
30 | |
31 | enum DenseUpdateType { ADD, SUB, ASSIGN }; |
32 | |
33 | namespace functor { |
34 | |
35 | template <typename Device, typename T, DenseUpdateType OP> |
36 | struct DenseUpdate { |
37 | void operator()(const Device& d, typename TTypes<T>::Flat params, |
38 | typename TTypes<T>::ConstFlat update); |
39 | }; |
40 | |
41 | template <typename T> |
42 | struct DenseUpdate<CPUDevice, T, ADD> { |
43 | void operator()(const CPUDevice& d, typename TTypes<T>::Flat params, |
44 | typename TTypes<T>::ConstFlat update) { |
45 | params.device(d) += update; |
46 | } |
47 | }; |
48 | |
49 | template <typename T> |
50 | struct DenseUpdate<CPUDevice, T, SUB> { |
51 | void operator()(const CPUDevice& d, typename TTypes<T>::Flat params, |
52 | typename TTypes<T>::ConstFlat update) { |
53 | params.device(d) -= update; |
54 | } |
55 | }; |
56 | |
57 | template <typename T> |
58 | struct DenseUpdate<CPUDevice, T, ASSIGN> { |
59 | void operator()(const CPUDevice& d, typename TTypes<T>::Flat params, |
60 | typename TTypes<T>::ConstFlat update) { |
61 | params.device(d) = update; |
62 | } |
63 | }; |
64 | |
65 | |
66 | } // end namespace functor |
67 | |
68 | template <typename Device> |
69 | Status VariantCopyFn(OpKernelContext* context, const Tensor& from, Tensor* to); |
70 | |
71 | template <> |
72 | Status VariantCopyFn<CPUDevice>(OpKernelContext* context, const Tensor& from, |
73 | Tensor* to); |
74 | template <> |
75 | Status VariantCopyFn<GPUDevice>(OpKernelContext* context, const Tensor& from, |
76 | Tensor* to); |
77 | |
78 | } // end namespace tensorflow |
79 | |
80 | #endif // TENSORFLOW_CORE_KERNELS_DENSE_UPDATE_FUNCTOR_H_ |
81 | |