ROperator.hxx

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#ifndef TMVA_SOFIE_ROPERATOR
#define TMVA_SOFIE_ROPERATOR
 
#include <vector>
#include <memory>
 
#include "TMVA/SOFIE_common.hxx"
//#include "RModel.hxx"
 
 
 
namespace TMVA{
namespace Experimental{
namespace SOFIE{
 
class RModel;
 
class ROperator{
 
 
public:
   virtual std::vector<std::string> GetBlasRoutines() { return {}; }
   virtual std::vector<std::string> GetStdLibs() { return {}; }
   virtual std::vector<std::vector<size_t>> ShapeInference(std::vector<std::vector<size_t>>) { return {}; };
   virtual std::vector<ETensorType> TypeInference(std::vector<ETensorType>) { return {}; };
   virtual void Initialize(RModel&) = 0;
   virtual std::string Generate(std::string OpName) = 0;  //expect unique opName for each operator within the same RModel
   // generate initialization code for session constructor
   virtual std::string GenerateInitCode() { return "";}
   // generate some specific declaration code for Session
   virtual std::string GenerateDeclCode() { return "";}
   // generate session data members specific to operator
   virtual std::string GenerateSessionMembersCode(std::string /*opName*/) { return ""; }
   virtual std::string Header() { return "";}
 
   //virtual void Forward_reference() = 0;
   //virtual void Forward_blas() = 0;
   virtual ~ROperator(){}
 
protected:
 
   const std::string SP = "   ";    ///< space used to correctly indent the generated C++ code
   bool fUseSession = false;        ///< flag to identify if using the session class
   bool fIsOutputConstant = false;  ///< flag to identify if operator has a constant output (no need to generate code)
   
   mutable std::vector<std::string_view> fInputTensorNames;
   mutable std::vector<std::string_view> fOutputTensorNames;
 
public:
   std::span<const std::string_view> GetOpInputTensors() const {
      return fInputTensorNames;
   }
 
   std::span<const std::string_view> GetOpOutputTensors() const {
      return fOutputTensorNames;
   }
   
};
 
 
 
}//SOFIE
}//Experimental
}//TMVA
 
 
#endif //TMVA_SOFIE_OPERATOR