1 | /* Copyright 2022 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_SPARSE_SLICE_GRAD_OP_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_SPARSE_SLICE_GRAD_OP_H_ |
18 | |
19 | #include "tensorflow/core/framework/op_kernel.h" |
20 | #include "tensorflow/core/framework/tensor_types.h" |
21 | |
22 | namespace tensorflow { |
23 | |
24 | namespace functor { |
25 | |
26 | template <typename Device, typename T> |
27 | struct SparseSliceGradFunctor { |
28 | void operator()(OpKernelContext* ctx, |
29 | typename TTypes<T>::ConstFlat backprop_val_grad, |
30 | typename TTypes<int64_t>::ConstMatrix input_indices_mat, |
31 | typename TTypes<int64_t>::ConstFlat input_start_flat, |
32 | typename TTypes<int64_t>::ConstMatrix output_indices_mat, |
33 | typename TTypes<T>::Flat val_grad) const; |
34 | }; |
35 | |
36 | } // namespace functor |
37 | |
38 | } // namespace tensorflow |
39 | |
40 | #endif // TENSORFLOW_CORE_KERNELS_SPARSE_SLICE_GRAD_OP_H_ |
41 | |