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_KERNELS_FILL_FUNCTOR_H_ 17 #define TENSORFLOW_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 #ifdef TENSORFLOW_USE_SYCL 49 // Partial specialization of SetZeroFunctor<Device=Eigen::SyclDevice, T>. 50 template <typename T> 51 struct SetZeroFunctor<Eigen::SyclDevice, T> { 52 void operator()(const Eigen::SyclDevice& d, typename TTypes<T>::Flat out); 53 }; 54 #endif // TENSORFLOW_USE_SYCL 55 56 template <> 57 struct SetZeroFunctor<Eigen::ThreadPoolDevice, string> { 58 void operator()(const Eigen::ThreadPoolDevice& d, 59 typename TTypes<string>::Flat out); 60 }; 61 62 template <typename Device, typename T> 63 struct SetOneFunctor { 64 // Computes on device "d": out = out.setOne(), 65 void operator()(const Device& d, typename TTypes<T>::Flat out); 66 }; 67 68 // Partial specialization of SetOneFunctor<Device=Eigen::ThreadPoolDevice, T>. 69 template <typename T> 70 struct SetOneFunctor<Eigen::ThreadPoolDevice, T> { 71 void operator()(const Eigen::ThreadPoolDevice& d, 72 typename TTypes<T>::Flat out); 73 }; 74 75 #ifdef TENSORFLOW_USE_SYCL 76 // Partial specialization of SetOneFunctor<Device=Eigen::SyclDevice, T>. 77 template <typename T> 78 struct SetOneFunctor<Eigen::SyclDevice, T> { 79 void operator()(const Eigen::SyclDevice& d, typename TTypes<T>::Flat out); 80 }; 81 #endif // TENSORFLOW_USE_SYCL 82 83 template <> 84 struct SetOneFunctor<Eigen::ThreadPoolDevice, string> { 85 void operator()(const Eigen::ThreadPoolDevice& d, 86 typename TTypes<string>::Flat out); 87 }; 88 89 } // namespace functor 90 } // namespace tensorflow 91 92 #endif // TENSORFLOW_KERNELS_FILL_FUNCTOR_H_ 93
