/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_KERNELS_SPARSE_TENSOR_DENSE_ADD_OP_H_
#define TENSORFLOW_KERNELS_SPARSE_TENSOR_DENSE_ADD_OP_H_

#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
#include "tensorflow/core/framework/tensor_types.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/kernels/scatter_op.h"

namespace tensorflow {
namespace functor {

// TOOD(zongheng): this should be a general functor that powers SparseAdd and
// ScatterNd ops.  It should be moved to its own head file, once the other ops
// are implemented.
template <typename Device, typename T, typename Index, int NDIMS,
          scatter_op::UpdateOp op>
struct ScatterNdFunctor {
  // Returns -1 on success or a nonnegative i s.t. indices[i] is a bad index.
  Index operator()(const Device& d, typename TTypes<Index>::ConstMatrix indices,
                   typename TTypes<T>::ConstFlat updates,
                   typename TTypes<T, NDIMS>::Tensor out);
};

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_KERNELS_SPARSE_TENSOR_DENSE_ADD_OP_H_
