//   Copyright (c) 2018 PaddlePaddle 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.

#pragma once
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/eigen/eigen_function.h"

namespace paddle {
namespace operators {

template <typename DeviceContext, typename T>
class IncrementKernel : public framework::OpKernel<T> {
 public:
  void Compute(const framework::ExecutionContext& context) const override {
    auto* x_tensor = context.Input<framework::Tensor>("X");
    auto* out_tensor = context.Output<framework::Tensor>("Out");
    float step = context.Attr<float>("step");

    out_tensor->mutable_data<T>(context.GetPlace());
    auto& dev =
        *context.template device_context<DeviceContext>().eigen_device();
    EigenAdd<std::decay_t<decltype(dev)>, T>::Eval(
        dev, framework::EigenScalar<T>::From(*out_tensor),
        framework::EigenScalar<T>::From(*x_tensor), static_cast<T>(step));
  }
};

}  // namespace operators
}  // namespace paddle
