// 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.

#pragma once

#include <memory>
#include <string>
#include <vector>
#include "lite/core/kernel.h"
#include "lite/core/op_registry.h"
#include "lite/core/types.h"
#include "lite/core/program.h"
#include "lite/kernels/npu/bridges/engine.h"
#include "lite/kernels/npu/bridges/registry.h"

#include "bmcompiler_if.h"
#include "bmruntime_interface.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace bm {
    
class SubgraphEngine : public subgraph::Engine {
  public:
    SubgraphEngine(KernelContext *ctx,
                   int block_idx,
                   cpp::BlockDesc *block_desc,
                   const std::vector<std::string> &input_names,
                   const std::vector<std::string> &output_names,
                   Scope *scope)
        : subgraph::Engine(
                ctx, block_idx, block_desc, input_names, output_names, scope) {}
        
  protected:
    int BuildDeviceProgram() override;
    int LaunchDeviceProgram() override;
    
private:
    void* bmrt_hd_;
    std::vector<bm_tensor_t> device_inputs_;
    std::vector<bm_tensor_t> device_outputs_;
    std::map<std::string, int> output_map_;
    const char** net_names_;
    const bm_net_info_t* net_info_;
    bm_handle_t bm_hd_;
};

class SubgraphCompute : public KernelLite<TARGET(kBM), PRECISION(kFloat)> {
 public:
  using param_t = operators::SubgraphParam;
  void PrepareForRun() override;
  void Run() override;
  virtual ~SubgraphCompute() = default;

 private:
  std::unique_ptr<SubgraphEngine> engine_;
};

}  // namespace bm
}  // namespace kernels
}  // namespace lite
}  // namespace paddle