text: //   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.
  
  #pragma once
  #include <memory>
  #include <vector>
  
  #include "paddle/fluid/framework/op_registry.h"
  #ifdef PADDLE_WITH_ASCEND
  #include "paddle/fluid/framework/fleet/ascend_wrapper.h"
  #include "paddle/fluid/framework/tensor.h"
  #endif
  
  namespace paddle {
  namespace operators {
  
  template <typename T>
  class AscendTriggerCPUKernel : public framework::OpKernel<T> {
   public:
    void Compute(const framework::ExecutionContext &ctx) const override {
  #ifdef PADDLE_WITH_ASCEND
      auto ascend_ptr = paddle::framework::AscendInstance::GetInstance();
      auto graph_idx = ctx.Attr<int>("graph_idx");
      VLOG(4) << "AscendTrigger Kernel, begin to run graph: " << graph_idx;
      auto inputs = ctx.MultiInput<framework::Tensor>("FeedList");
      auto outputs = ctx.MultiOutput<framework::Tensor>("FetchList");
      ascend_ptr->RunAscendSubgraph(graph_idx, inputs, &outputs);
  #else
      PADDLE_THROW(platform::errors::PreconditionNotMet(
          "Please compile WITH_ASCEND option to enable ascend_trigger op"));
  #endif
    }
  };
  
  }  // namespace operators
  }  // namespace paddle
  