//   Copyright (c) 2021 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.

#include "paddle/fluid/operators/increment_op.h"
#include "paddle/fluid/operators/npu_op_runner.h"

namespace paddle {
namespace operators {

template <typename T>
class IncrementalNPUKernel : 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());

    Tensor step_tensor(x_tensor->type());

    step_tensor.mutable_data<T>({1}, context.GetPlace());
    FillNpuTensorWithConstant<T>(&step_tensor, static_cast<T>(step));

    const auto& runner =
        NpuOpRunner("Add", {*x_tensor, step_tensor}, {*out_tensor}, {});

    auto stream =
        context.template device_context<paddle::platform::NPUDeviceContext>()
            .stream();
    runner.Run(stream);
  }
};

}  // namespace operators
}  // namespace paddle

REGISTER_OP_NPU_KERNEL(
    increment, paddle::operators::IncrementalNPUKernel<float>,
    paddle::operators::IncrementalNPUKernel<double>,
    paddle::operators::IncrementalNPUKernel<int>,
#ifdef PADDLE_WITH_ASCEND_INT64
    paddle::operators::IncrementalNPUKernel<int64_t>,
#endif
    paddle::operators::IncrementalNPUKernel<paddle::platform::float16>)
