/* Copyright 2015 Google Inc. 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_REDUCTION_OPS_H_
#define TENSORFLOW_KERNELS_REDUCTION_OPS_H_

// Functor definitions for Reduction ops, must be compilable by nvcc.

#include <iostream>
#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
#include "tensorflow/core/framework/tensor_types.h"

namespace tensorflow {
namespace functor {

template <typename Device, typename OUT_T, typename IN_T,
          typename ReductionAxes, typename Reducer>
void ReduceEigenImpl(const Device& d, OUT_T out, IN_T in,
                     const ReductionAxes& reduction_axes,
                     const Reducer& reducer) {
  out.device(d) = in.reduce(reduction_axes, reducer);
}

template <typename Device, typename Reducer>
struct ReduceFunctor {
  template <typename OUT_T, typename IN_T, typename ReductionAxes>
  static void Reduce(const Device& d, OUT_T out, IN_T in,
                     const ReductionAxes& reduction_axes,
                     const Reducer& reducer);
};

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_KERNELS_REDUCTION_OPS_H_
