1 | /* Copyright 2016 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_BETAINC_OP_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_BETAINC_OP_H_ |
18 | // Functor definition for BetaincOp, must be compilable by nvcc. |
19 | |
20 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
21 | #include "tensorflow/core/framework/tensor_types.h" |
22 | |
23 | namespace tensorflow { |
24 | namespace functor { |
25 | |
26 | // Functor used by BetaincOp to do the computations. |
27 | template <typename Device, typename T, int NDIM> |
28 | struct Betainc { |
29 | void operator()(const Device& d, typename TTypes<T, NDIM>::ConstTensor a, |
30 | typename TTypes<T, NDIM>::ConstTensor b, |
31 | typename TTypes<T, NDIM>::ConstTensor x, |
32 | typename TTypes<T, NDIM>::Tensor output) { |
33 | output.device(d) = Eigen::betainc(a, b, x); |
34 | } |
35 | |
36 | void BCast(const Device& d, typename TTypes<T, NDIM>::ConstTensor a, |
37 | const typename Eigen::array<Eigen::DenseIndex, NDIM>& bcast_a, |
38 | typename TTypes<T, NDIM>::ConstTensor b, |
39 | const typename Eigen::array<Eigen::DenseIndex, NDIM>& bcast_b, |
40 | typename TTypes<T, NDIM>::ConstTensor x, |
41 | const typename Eigen::array<Eigen::DenseIndex, NDIM>& bcast_x, |
42 | typename TTypes<T, NDIM>::Tensor output) { |
43 | output.device(d) = Eigen::betainc( |
44 | a.broadcast(bcast_a), b.broadcast(bcast_b), x.broadcast(bcast_x)); |
45 | } |
46 | }; |
47 | |
48 | } // namespace functor |
49 | } // namespace tensorflow |
50 | |
51 | #endif // TENSORFLOW_CORE_KERNELS_BETAINC_OP_H_ |
52 | |