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_SCATTER_ND_OP_H_ |
17 | #define TENSORFLOW_CORE_KERNELS_SCATTER_ND_OP_H_ |
18 | |
19 | #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" |
20 | |
21 | #include "tensorflow/core/framework/bounds_check.h" |
22 | #include "tensorflow/core/framework/op_kernel.h" |
23 | #include "tensorflow/core/framework/register_types.h" |
24 | #include "tensorflow/core/framework/tensor.h" |
25 | #include "tensorflow/core/framework/tensor_shape.h" |
26 | #include "tensorflow/core/kernels/fill_functor.h" |
27 | #include "tensorflow/core/platform/mutex.h" |
28 | #include "tensorflow/core/platform/types.h" |
29 | #include "tensorflow/core/util/util.h" |
30 | |
31 | namespace tensorflow { |
32 | |
33 | typedef Eigen::ThreadPoolDevice CPUDevice; |
34 | |
35 | class OpKernelContext; |
36 | |
37 | namespace scatter_nd_op { |
38 | |
39 | enum class UpdateOp { ASSIGN, ADD, SUB, MIN, MAX }; |
40 | |
41 | } // namespace scatter_nd_op |
42 | |
43 | namespace functor { |
44 | |
45 | // Functor used by ScatterOp to do the computations. |
46 | template <typename Device, typename T, typename Index, |
47 | scatter_nd_op::UpdateOp op, int IXDIM> |
48 | struct ScatterNdFunctor { |
49 | // Returns -1 on success or a nonnegative i s.t. indices[i] is a bad index. |
50 | Index operator()( |
51 | const Device& d, const Index slice_size, |
52 | const Eigen::array<Eigen::DenseIndex, IXDIM> output_shape_prefix, |
53 | typename TTypes<T, 2>::Tensor Tparams, |
54 | typename TTypes<Index, 2>::ConstTensor Tindices, |
55 | typename TTypes<T, 2>::ConstTensor Tupdates, |
56 | typename TTypes<T, 2>::Tensor Toutput); |
57 | }; |
58 | |
59 | // Scatter updates into indices in Tensor out. The argument allocate |
60 | // controls whether 'out' should be created. If allocate is true, |
61 | // *out will be updated to the scattered tensor upon successful completion. |
62 | // If allocate is false, out must point to a Tensor allocated with the |
63 | // right type (T) and shape. This tensor will not be zeroed out |
64 | // before the scatter is executed. |
65 | template <typename Device, typename T, typename Index, |
66 | scatter_nd_op::UpdateOp Op> |
67 | Status DoScatterNd(OpKernelContext* c, const Tensor& indices, |
68 | const Tensor& updates, const TensorShape& shape, Tensor* out, |
69 | bool allocate); |
70 | |
71 | } // namespace functor |
72 | } // namespace tensorflow |
73 | |
74 | #endif // TENSORFLOW_CORE_KERNELS_SCATTER_ND_OP_H_ |
75 | |