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_SLICE_OP_H_
17#define TENSORFLOW_CORE_KERNELS_SLICE_OP_H_
18
19// Functor definition for SliceOp, must be compilable by nvcc.
20
21#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
22#include "tensorflow/core/framework/tensor_types.h"
23
24namespace tensorflow {
25namespace functor {
26
27template <typename Device, typename T, int NDIMS>
28struct Slice {
29 void operator()(const Device& d, typename TTypes<T, NDIMS>::Tensor output,
30 typename TTypes<T, NDIMS>::ConstTensor input,
31 const Eigen::DSizes<Eigen::DenseIndex, NDIMS>& slice_indices,
32 const Eigen::DSizes<Eigen::DenseIndex, NDIMS>& slice_sizes) {
33 MaybeWith32BitIndexing<Device>(
34 [&](auto output32, auto input32, auto slice_indices32,
35 auto slice_sizes32) {
36 output32.device(d) = input32.slice(slice_indices32, slice_sizes32);
37 },
38 output, input, slice_indices, slice_sizes);
39 }
40};
41
42} // namespace functor
43} // namespace tensorflow
44
45#endif // TENSORFLOW_CORE_KERNELS_SLICE_OP_H_
46