1/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations 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
24namespace tensorflow {
25namespace functor {
26
27// Functor used by PadOp to do the computations.
28template <typename Device, typename T, typename Tpadding, int Dims>
29struct 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
44template <typename Device, typename T, typename Tpadding>
45struct 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