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_PAD_OP_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_PAD_OP_H_ |
18 | // Functor definition for PadOp, must be compilable by nvcc. |
19 | |
20 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
21 | #include "tensorflow/core/framework/tensor_types.h" |
22 | #include "tensorflow/core/platform/types.h" |
23 | |
24 | namespace tensorflow { |
25 | namespace functor { |
26 | |
27 | // Functor used by PadOp to do the computations. |
28 | template <typename Device, typename T, typename Tpadding, int Dims> |
29 | struct Pad { |
30 | // Pad "input" into "output", as specified by "paddings" and "pad_value". |
31 | // See pad_op.cc for details. |
32 | void operator()(const Device& d, typename TTypes<T, Dims>::Tensor output, |
33 | typename TTypes<T, Dims>::ConstTensor input, |
34 | Eigen::array<Eigen::IndexPair<Tpadding>, Dims> paddings, |
35 | T pad_value) { |
36 | MaybeWith32BitIndexing<Device>( |
37 | [&](auto output32, auto input32) { |
38 | output32.device(d) = input32.pad(paddings, pad_value); |
39 | }, |
40 | output, input); |
41 | } |
42 | }; |
43 | |
44 | template <typename Device, typename T, typename Tpadding> |
45 | struct Pad<Device, T, Tpadding, 0> { |
46 | // In the scalar case we simply copy the input. |
47 | void operator()(const Device& d, typename TTypes<T, 0>::Tensor output, |
48 | typename TTypes<T, 0>::ConstTensor input, |
49 | Eigen::array<Eigen::IndexPair<Tpadding>, 0>, T) { |
50 | output.device(d) = input; |
51 | } |
52 | }; |
53 | } // namespace functor |
54 | } // namespace tensorflow |
55 | |
56 | #endif // TENSORFLOW_CORE_KERNELS_PAD_OP_H_ |
57 | |