text: /* Copyright (c) 2019 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 <string>
  
  #include "paddle/fluid/framework/op_registry.h"
  
  namespace paddle {
  namespace operators {
  
  class CSyncCalcStreamOp : public framework::OperatorWithKernel {
   public:
    CSyncCalcStreamOp(const std::string& type,
                      const framework::VariableNameMap& inputs,
                      const framework::VariableNameMap& outputs,
                      const framework::AttributeMap& attrs)
        : OperatorBase(type, inputs, outputs, attrs) {}
  
    void RunImpl(const framework::Scope& scope,
                 const platform::Place& place) const override {
  
  #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
      PADDLE_ENFORCE_EQ(is_gpu_place(place), true,
                        platform::errors::PreconditionNotMet(
                            "Sync stream op can run on gpu place only for now."));
  
      auto dev_ctx = static_cast<platform::CUDADeviceContext*>(
          platform::DeviceContextPool::Instance().Get(place));
      PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamSynchronize(dev_ctx->stream()));
  #elif defined(PADDLE_WITH_ASCEND_CL) && !defined(_WIN32)
      PADDLE_ENFORCE_EQ(is_npu_place(place), true,
                        platform::errors::PreconditionNotMet(
                            "Sync stream op can run on npu place only for now."));
  
      auto dev_ctx = static_cast<platform::NPUDeviceContext*>(
          platform::DeviceContextPool::Instance().Get(place));
      PADDLE_ENFORCE_NPU_SUCCESS(aclrtSynchronizeStream(dev_ctx->stream()));
  #else
      PADDLE_THROW(platform::errors::PreconditionNotMet(
          "PaddlePaddle should compile with GPU."));
  #endif
    }
  };
  
  class CSyncCalcStreamOpMaker : public framework::OpProtoAndCheckerMaker {
   public:
    void Make() {
      AddInput("X", "(Tensor) Dependency of the variable need to sync");
      AddOutput("Out", "(Tensor) Dependency of the variable need to sync");
      AddComment(R"DOC(
  CSyncCalcStream Operator
  
  Call calculation stream synchronization.
  )DOC");
    }
  };
  
  template <typename T>
  class CSyncCalcStreamCudaKernel : public framework::OpKernel<T> {
   public:
    void Compute(const framework::ExecutionContext& ctx) const override {
  #if (defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)) && !defined(_WIN32)
  
      auto place = ctx.GetPlace();
      auto dev_ctx = static_cast<platform::CUDADeviceContext*>(
          platform::DeviceContextPool::Instance().Get(place));
  
  #ifdef PADDLE_WITH_HIP
      PADDLE_ENFORCE_CUDA_SUCCESS(hipStreamSynchronize(dev_ctx->stream()));
  #else
      PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamSynchronize(dev_ctx->stream()));
  #endif
  
  #else
      PADDLE_THROW(platform::errors::PreconditionNotMet(
          "PaddlePaddle should compile with GPU."));
  #endif
    }
  };
  
  }  // namespace operators
  }  // namespace paddle
  
  namespace ops = paddle::operators;
  
  REGISTER_OP_WITHOUT_GRADIENT(c_sync_calc_stream, ops::CSyncCalcStreamOp,
                               ops::CSyncCalcStreamOpMaker);
  
  REGISTER_OP_CUDA_KERNEL(c_sync_calc_stream,
                          ops::CSyncCalcStreamCudaKernel<float>);
  