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      1 /* Copyright 2016 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_KERNELS_SPARSE_TENSOR_DENSE_ADD_OP_H_
     17 #define TENSORFLOW_KERNELS_SPARSE_TENSOR_DENSE_ADD_OP_H_
     18 
     19 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
     20 #include "tensorflow/core/framework/tensor_types.h"
     21 #include "tensorflow/core/framework/types.h"
     22 #include "tensorflow/core/kernels/scatter_functor.h"
     23 
     24 namespace tensorflow {
     25 namespace functor {
     26 
     27 // TODO(zongheng): this should be a general functor that powers SparseAdd and
     28 // ScatterNd ops.  It should be moved to its own head file, once the other ops
     29 // are implemented.
     30 template <typename Device, typename T, typename Index, int NDIMS,
     31           scatter_op::UpdateOp op>
     32 struct ScatterNdFunctor {
     33   // Returns -1 on success or a nonnegative i s.t. indices[i] is a bad index.
     34   Index operator()(const Device& d, typename TTypes<Index>::ConstMatrix indices,
     35                    typename TTypes<T>::ConstFlat updates,
     36                    typename TTypes<T, NDIMS>::Tensor out);
     37 };
     38 
     39 }  // namespace functor
     40 }  // namespace tensorflow
     41 
     42 #endif  // TENSORFLOW_KERNELS_SPARSE_TENSOR_DENSE_ADD_OP_H_
     43