/* Copyright 2015 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_FILL_FUNCTOR_H_
#define TENSORFLOW_KERNELS_FILL_FUNCTOR_H_

#define EIGEN_USE_THREADS

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

namespace tensorflow {
namespace functor {

template <typename Device, typename T>
struct FillFunctor {
  // Computes on device "d": out = out.constant(in(0)),
  void operator()(const Device& d, typename TTypes<T>::Flat out,
                  typename TTypes<T>::ConstScalar in);
};

template <typename Device, typename T>
struct SetZeroFunctor {
  // Computes on device "d": out = out.setZero(),
  void operator()(const Device& d, typename TTypes<T>::Flat out);
};

// Partial specialization of SetZeroFunctor<Device=Eigen::ThreadPoolDevice, T>.
template <typename T>
struct SetZeroFunctor<Eigen::ThreadPoolDevice, T> {
  void operator()(const Eigen::ThreadPoolDevice& d,
                  typename TTypes<T>::Flat out);
};

template <>
struct SetZeroFunctor<Eigen::ThreadPoolDevice, string> {
  void operator()(const Eigen::ThreadPoolDevice& d,
                  typename TTypes<string>::Flat out);
};

}  // namespace functor
}  // namespace tensorflow

#endif  // TENSORFLOW_KERNELS_FILL_FUNCTOR_H_
