operator.h

/* Copyright (c) 2016 Baidu, Inc. All Rights Reserved.
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==============================================================================*/

#pragma once

#include <map>

#include "attribute.h"
#include "block_desc.h"
#include "common/type_define.h"
#include "common/types.h"
#include "common/variant.h"
#include "op_info.h"
#include "op_kernel_type.h"
#include "paddle_mobile_object.h"
#include "scope.h"
#include "tensor.h"
#include "variable.h"

namespace paddle_mobile {
namespace framework {

template <typename Dtype> class OperatorBase : PaddleMobileObject {
public:
  OperatorBase(const std::string &type, const VariableNameMap &inputs,
               const VariableNameMap &outputs, const AttributeMap &attrs,
               std::shared_ptr<Scope> scope);
  virtual ~OperatorBase() {}
  virtual void Run();
  const VariableNameMap &Inputs() const { return inputs_; }
  const VariableNameMap &Outputs() const { return outputs_; }
  const std::string &Type() const { return type_; }
  const AttributeMap &Attrs() const { return attrs_; }

protected:
  std::shared_ptr<Scope> scope_;
  std::string type_;
  VariableNameMap inputs_;
  VariableNameMap outputs_;
  AttributeMap attrs_;

private:
  void CheckAllInputOutputSet() const;
  virtual void RunImpl() const = 0;
};

template <typename Dtype>
class OperatorWithKernel : public OperatorBase<Dtype> {
public:
  OperatorWithKernel(const std::string &type, const VariableNameMap &inputs,
                     const VariableNameMap &outputs, const AttributeMap &attrs,
                     std::shared_ptr<Scope> scope)
      : OperatorBase<Dtype>(type, inputs, outputs, attrs, scope) {}
  virtual void InferShape() const = 0;

protected:
  virtual void RunImpl() const = 0;

private:
};

template <typename Dtype, typename P> class OpKernelBase : PaddleMobileObject {
public:
  virtual void Compute(const P &para) const = 0;

  virtual ~OpKernelBase() = default;
};

} // namespace framework
} // namespace paddle_mobile