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_TILE_OPS_IMPL_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_TILE_OPS_IMPL_H_ |
18 | |
19 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
20 | #include "tensorflow/core/framework/tensor_types.h" |
21 | #include "tensorflow/core/platform/types.h" |
22 | |
23 | namespace tensorflow { |
24 | |
25 | namespace functor { |
26 | |
27 | template <typename Device, typename T, int NDIM> |
28 | struct TileGrad { |
29 | void operator()(const Device& d, typename TTypes<T, NDIM>::Tensor out, |
30 | typename TTypes<T, NDIM>::ConstTensor in, |
31 | const Eigen::DSizes<Eigen::DenseIndex, NDIM>& indices, |
32 | const Eigen::DSizes<Eigen::DenseIndex, NDIM>& sizes, |
33 | bool first) const { |
34 | if (first) { |
35 | out.device(d) = in.slice(indices, sizes); |
36 | } else { |
37 | out.device(d) += in.slice(indices, sizes); |
38 | } |
39 | } |
40 | }; |
41 | |
42 | template <typename Device, typename T> |
43 | struct TileGrad<Device, T, 0> { |
44 | void operator()(const Device& d, typename TTypes<T, 0>::Tensor out, |
45 | typename TTypes<T, 0>::ConstTensor in, |
46 | const Eigen::DSizes<Eigen::DenseIndex, 0>&, |
47 | const Eigen::DSizes<Eigen::DenseIndex, 0>&, |
48 | bool first) const { |
49 | if (first) { |
50 | out.device(d) = in; |
51 | } else { |
52 | out.device(d) += in; |
53 | } |
54 | } |
55 | }; |
56 | |
57 | template <typename Device, typename T, int NDIM, int REDUCEDNDIM> |
58 | struct ReduceAndReshape { |
59 | void operator()( |
60 | const Device& d, typename TTypes<T, NDIM>::Tensor out, |
61 | typename TTypes<T, NDIM>::ConstTensor in, |
62 | const Eigen::DSizes<Eigen::DenseIndex, REDUCEDNDIM>& reduce_dim, |
63 | const Eigen::DSizes<Eigen::DenseIndex, NDIM>& reshape_dim) const { |
64 | out.device(d) = in.sum(reduce_dim).reshape(reshape_dim); |
65 | } |
66 | }; |
67 | |
68 | } // end namespace functor |
69 | } // end namespace tensorflow |
70 | |
71 | #endif // TENSORFLOW_CORE_KERNELS_TILE_OPS_IMPL_H_ |
72 | |