/* Copyright (c) 2020 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/collective/barrier_op.h"

#include <memory>

namespace paddle {
namespace operators {

class BarrierOp : public framework::OperatorWithKernel {
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;
  void InferShape(framework::InferShapeContext *ctx) const override {}
};

class BarrierOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  void Make() override {
    AddInput("X", "(Tensor) Input data (only used in CUDAKernel).");
    AddOutput("Out", "(Tensor) Output data (only used in CUDAKernel).");
    AddAttr<int>("ring_id", "(int default 0) communication ring id.")
        .SetDefault(0);
    AddComment(R"DOC(
Barrier Operator - Barrier among all participators.)DOC");
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
namespace plat = paddle::platform;

REGISTER_OP_WITHOUT_GRADIENT(barrier, ops::BarrierOp, ops::BarrierOpMaker);

PD_REGISTER_STRUCT_KERNEL(
    barrier, CPU, ALL_LAYOUT, ops::BarrierOpCPUKernel, int) {}