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_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 24 typedef Eigen::ThreadPoolDevice CPUDevice; 25 26 27 namespace tensorflow { 28 29 // Partial specializations for a CPUDevice, that uses the Eigen implementation 30 // from AddNEigenImpl. 31 namespace functor { 32 template <typename T> 33 struct 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 }; 40 template <typename T> 41 struct 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 }; 49 template <typename T> 50 struct 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 }; 59 template <typename T> 60 struct 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 }; 70 template <typename T> 71 struct 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 }; 82 template <typename T> 83 struct 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 97 template <typename T> 98 struct 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 }; 109 110 template <typename T> 111 struct 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 }; 122 123 template <typename T> 124 struct 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