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_AGGREGATE_OPS_CPU_H_
17#define TENSORFLOW_CORE_KERNELS_AGGREGATE_OPS_CPU_H_
18
19#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
20#include "tensorflow/core/framework/tensor_types.h"
21
22#include "tensorflow/core/kernels/aggregate_ops.h"
23
24typedef Eigen::ThreadPoolDevice CPUDevice;
25
26
27namespace tensorflow {
28
29// Partial specializations for a CPUDevice, that uses the Eigen implementation
30// from AddNEigenImpl.
31namespace functor {
32template <typename T>
33struct Add2Functor<CPUDevice, T> {
34 void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
35 typename TTypes<T>::ConstFlat in1,
36 typename TTypes<T>::ConstFlat in2) {
37 Add2EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2);
38 }
39};
40template <typename T>
41struct Add3Functor<CPUDevice, T> {
42 void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
43 typename TTypes<T>::ConstFlat in1,
44 typename TTypes<T>::ConstFlat in2,
45 typename TTypes<T>::ConstFlat in3) {
46 Add3EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3);
47 }
48};
49template <typename T>
50struct Add4Functor<CPUDevice, T> {
51 void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
52 typename TTypes<T>::ConstFlat in1,
53 typename TTypes<T>::ConstFlat in2,
54 typename TTypes<T>::ConstFlat in3,
55 typename TTypes<T>::ConstFlat in4) {
56 Add4EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4);
57 }
58};
59template <typename T>
60struct Add5Functor<CPUDevice, T> {
61 void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
62 typename TTypes<T>::ConstFlat in1,
63 typename TTypes<T>::ConstFlat in2,
64 typename TTypes<T>::ConstFlat in3,
65 typename TTypes<T>::ConstFlat in4,
66 typename TTypes<T>::ConstFlat in5) {
67 Add5EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5);
68 }
69};
70template <typename T>
71struct Add6Functor<CPUDevice, T> {
72 void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
73 typename TTypes<T>::ConstFlat in1,
74 typename TTypes<T>::ConstFlat in2,
75 typename TTypes<T>::ConstFlat in3,
76 typename TTypes<T>::ConstFlat in4,
77 typename TTypes<T>::ConstFlat in5,
78 typename TTypes<T>::ConstFlat in6) {
79 Add6EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6);
80 }
81};
82template <typename T>
83struct Add7Functor<CPUDevice, T> {
84 void operator()(const CPUDevice& d, typename TTypes<T>::Flat out,
85 typename TTypes<T>::ConstFlat in1,
86 typename TTypes<T>::ConstFlat in2,
87 typename TTypes<T>::ConstFlat in3,
88 typename TTypes<T>::ConstFlat in4,
89 typename TTypes<T>::ConstFlat in5,
90 typename TTypes<T>::ConstFlat in6,
91 typename TTypes<T>::ConstFlat in7) {
92 Add7EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
93 in7);
94 }
95};
96
97template <typename T>
98struct Add8Functor<CPUDevice, T> {
99 void operator()(
100 const CPUDevice& d, typename TTypes<T>::Flat out,
101 typename TTypes<T>::ConstFlat in1, typename TTypes<T>::ConstFlat in2,
102 typename TTypes<T>::ConstFlat in3, typename TTypes<T>::ConstFlat in4,
103 typename TTypes<T>::ConstFlat in5, typename TTypes<T>::ConstFlat in6,
104 typename TTypes<T>::ConstFlat in7, typename TTypes<T>::ConstFlat in8) {
105 Add8EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
106 in7, in8);
107 }
108};
109
110template <typename T>
111struct Add8pFunctor<CPUDevice, T> {
112 void operator()(
113 const CPUDevice& d, typename TTypes<T>::Flat out,
114 typename TTypes<T>::ConstFlat in1, typename TTypes<T>::ConstFlat in2,
115 typename TTypes<T>::ConstFlat in3, typename TTypes<T>::ConstFlat in4,
116 typename TTypes<T>::ConstFlat in5, typename TTypes<T>::ConstFlat in6,
117 typename TTypes<T>::ConstFlat in7, typename TTypes<T>::ConstFlat in8) {
118 Add8pEigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
119 in7, in8);
120 }
121};
122
123template <typename T>
124struct Add9Functor<CPUDevice, T> {
125 void operator()(
126 const CPUDevice& d, typename TTypes<T>::Flat out,
127 typename TTypes<T>::ConstFlat in1, typename TTypes<T>::ConstFlat in2,
128 typename TTypes<T>::ConstFlat in3, typename TTypes<T>::ConstFlat in4,
129 typename TTypes<T>::ConstFlat in5, typename TTypes<T>::ConstFlat in6,
130 typename TTypes<T>::ConstFlat in7, typename TTypes<T>::ConstFlat in8,
131 typename TTypes<T>::ConstFlat in9) {
132 Add9EigenImpl<CPUDevice, T>::Compute(d, out, in1, in2, in3, in4, in5, in6,
133 in7, in8, in9);
134 }
135};
136
137
138} // namespace functor
139
140} // namespace tensorflow
141
142#endif // TENSORFLOW_CORE_KERNELS_AGGREGATE_OPS_CPU_H_
143