text: /*
   * Copyright (c) 2020 Samsung Electronics Co., Ltd. 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.
   */
  
  #ifndef __ONERT_BACKEND_CPU_OPS_REDUCESUMLAYER_H__
  #define __ONERT_BACKEND_CPU_OPS_REDUCESUMLAYER_H__
  
  #include "../Tensor.h"
  
  #include <exec/IFunction.h>
  #include <memory>
  
  namespace nnfw
  {
  namespace cker
  {
  class Reduce;
  }
  } // namespace nnfw
  
  namespace onert
  {
  namespace backend
  {
  namespace cpu
  {
  namespace ops
  {
  
  enum class ReduceType
  {
    kSum,
    kProd,
    kMax,
    kMin,
    kAny,
    kAll,
  };
  
  class ReduceLayer : public ::onert::exec::IFunction
  {
  public:
    ReduceLayer();
    ~ReduceLayer();
  
  public:
    void configure(const Tensor *input, Tensor *output, ReduceType reduceType,
                   const std::vector<int> &axes, bool keep_dims);
  
    void run();
    void runSync()
    {
      // this abstract method is used just for profiling and called for
      // backend::acl_common::AclFunction
      run();
    }
  
  private:
    const Tensor *_input;
    Tensor *_output;
    ReduceType _reduceType;
    std::vector<int> _axes;
    bool _keep_dims;
  
    std::unique_ptr<nnfw::cker::Reduce> _reduce_kernel;
  };
  
  } // namespace ops
  } // namespace cpu
  } // namespace backend
  } // namespace onert
  
  #endif // __ONERT_BACKEND_CPU_OPS_REDUCESUMLAYER_H__
  