//   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 <map>
#include <string>
#include <vector>

#include "paddle/fluid/framework/details/op_handle_base.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/platform/device_context.h"

#ifdef PADDLE_WITH_CUDA
#include "paddle/fluid/platform/nccl_helper.h"
#endif

namespace paddle {
namespace framework {
namespace details {

struct BroadcastOpHandle : public OpHandleBase {
 public:
#ifdef PADDLE_WITH_CUDA
  BroadcastOpHandle(const std::vector<Scope *> &local_scopes,
                    const std::vector<platform::Place> &places,
                    const platform::NCCLContextMap *nccl_ctxs)
      : local_scopes_(local_scopes), places_(places), nccl_ctxs_(nccl_ctxs) {
    if (nccl_ctxs_) {
      for (auto &p_ctx : nccl_ctxs_->contexts_) {
        dev_ctxes_[platform::CUDAPlace(p_ctx.first)] = p_ctx.second.ctx_.get();
      }
    }
  }
#else
  BroadcastOpHandle(const std::vector<Scope *> &local_scopes,
                    const std::vector<platform::Place> &places)
      : local_scopes_(local_scopes), places_(places) {}
#endif

  std::string Name() const override;

  bool IsMultiDeviceTransfer() override { return false; };

 protected:
  void RunImpl() override;

 private:
  const std::vector<Scope *> &local_scopes_;
  const std::vector<platform::Place> &places_;
#ifdef PADDLE_WITH_CUDA
  const platform::NCCLContextMap *nccl_ctxs_;
#endif
};
}  // namespace details
}  // namespace framework
}  // namespace paddle