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_MATRIX_DIAG_OP_H_ 17 #define TENSORFLOW_KERNELS_MATRIX_DIAG_OP_H_ 18 19 // Generator definition for MatrixDiagOp, must be compilable by nvcc. 20 21 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" 22 #include "tensorflow/core/framework/tensor_types.h" 23 #include "tensorflow/core/platform/types.h" 24 25 namespace tensorflow { 26 27 namespace generator { 28 29 template <typename T> 30 class MatrixDiagPartGenerator { 31 public: 32 EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE 33 MatrixDiagPartGenerator(typename TTypes<T, 3>::ConstTensor input) 34 : input_(input) {} 35 36 EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE T 37 operator()(const Eigen::array<Eigen::DenseIndex, 2>& coords) const { 38 Eigen::array<Eigen::DenseIndex, 3> diag_from_coords( 39 {coords[0], coords[1], coords[1]}); 40 return input_(diag_from_coords); 41 } 42 43 private: 44 typename TTypes<T, 3>::ConstTensor input_; 45 }; 46 47 template <typename T> 48 class MatrixDiagGenerator { 49 public: 50 EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE 51 MatrixDiagGenerator(typename TTypes<T, 2>::ConstTensor input) 52 : input_(input) {} 53 54 EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE T 55 operator()(const Eigen::array<Eigen::DenseIndex, 3>& coords) const { 56 if (coords[2] != coords[1]) return T(); 57 58 Eigen::array<Eigen::DenseIndex, 2> diag_coords({coords[0], coords[1]}); 59 return input_(diag_coords); 60 } 61 62 private: 63 typename TTypes<T, 2>::ConstTensor input_; 64 }; 65 66 } // namespace generator 67 68 namespace functor { 69 70 template <typename Device, typename T> 71 struct MatrixDiagPart { 72 EIGEN_ALWAYS_INLINE static void Compute( 73 const Device& d, typename TTypes<T, 3>::ConstTensor input, 74 typename TTypes<T, 2>::Tensor output) { 75 generator::MatrixDiagPartGenerator<T> generator(input); 76 output.device(d) = output.generate(generator); 77 } 78 }; 79 80 template <typename Device, typename T> 81 struct MatrixDiag { 82 EIGEN_ALWAYS_INLINE static void Compute( 83 const Device& d, typename TTypes<T, 2>::ConstTensor input, 84 typename TTypes<T, 3>::Tensor output) { 85 generator::MatrixDiagGenerator<T> generator(input); 86 output.device(d) = output.generate(generator); 87 } 88 }; 89 90 } // namespace functor 91 92 } // namespace tensorflow 93 94 #endif // TENSORFLOW_KERNELS_MATRIX_DIAG_OP_H_ 95
