/* Copyright 2017 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_CONTRIB_REDUCE_SLICE_OPS_KERNELS_REDUCE_SLICE_OPS_H_
#define TENSORFLOW_CONTRIB_REDUCE_SLICE_OPS_KERNELS_REDUCE_SLICE_OPS_H_

#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/tensor_types.h"

#define Sum(a, b) ((a) + (b))
#define Prod(a, b) ((a) * (b))
#define Max(a, b) ((a) > (b) ? (a) : (b))
#define Min(a, b) ((a) < (b) ? (a) : (b))

namespace tensorflow {

class OpKernelContext;

namespace functor {

namespace reduce_functions {

template <typename T>
inline T zero() {
  return T(0);
}

template <typename T>
inline T one() {
  return T(1);
}

template <typename T>
inline T infinity() {
  return std::max<T>(std::numeric_limits<T>::max(),
                     std::numeric_limits<T>::infinity());
}

template <typename T>
inline T negative_infinity() {
  return std::min<T>(-std::numeric_limits<T>::infinity(),
                     std::numeric_limits<T>::min());
}

}  // namespace reduce_functions

#define CALL_ALL_REDUCEOPS(func, ...)                                       \
  func(Sum, functor::reduce_functions::zero, ##__VA_ARGS__)                 \
      func(Prod, functor::reduce_functions::one, ##__VA_ARGS__) func(       \
          Max, functor::reduce_functions::negative_infinity, ##__VA_ARGS__) \
          func(Min, functor::reduce_functions::infinity, ##__VA_ARGS__)

#define ReduceSliceFunctorReduceop(reduceop, dummy)                         \
  template <typename Device, typename T, typename Index>                    \
  struct ReduceSliceFunctor##reduceop {                                     \
    virtual ~ReduceSliceFunctor##reduceop() {}                              \
    virtual void operator()(OpKernelContext* ctx, const Device& d,          \
                            Index indices_width,                            \
                            typename TTypes<Index, 1>::ConstTensor indices, \
                            typename TTypes<T, 3>::ConstTensor data,        \
                            typename TTypes<T, 3>::Tensor output);          \
  };

CALL_ALL_REDUCEOPS(ReduceSliceFunctorReduceop)
#undef ReduceSliceFunctorReduceop

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_CONTRIB_REDUCE_SLICE_OPS_KERNELS_REDUCE_SLICE_OPS_H_
