ROperator_Cast.hxx

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#ifndef TMVA_SOFIE_ROPERATOR_Cast
#define TMVA_SOFIE_ROPERATOR_Cast
 
#include "TMVA/SOFIE_common.hxx"
#include "TMVA/ROperator.hxx"
#include "TMVA/RModel.hxx"
 
#include <sstream>
 
namespace TMVA{
namespace Experimental{
namespace SOFIE{
 
 
class ROperator_Cast final : public ROperator
{
 
private:
 
   std::string fNX;
   std::string fNY;
   std::vector<size_t> fShape;
   std::string fAttrType = "float";
 
public:
   ROperator_Cast(){}
   ROperator_Cast(std::string attr_type,std::string nameX, std::string nameY):
   fNX(UTILITY::Clean_name(nameX)), fNY(UTILITY::Clean_name(nameY)),
   fAttrType(attr_type) {}
 
   std::vector<ETensorType> TypeInference(std::vector<ETensorType> input){
      return input;
   }
 
   std::vector<std::vector<size_t>> ShapeInference(std::vector<std::vector<size_t>> input){
      auto ret = input; //suggest copy to compiler
      return ret;
   }
 
   void Initialize(RModel& model){
       //input must be a graph input, or already initialized intermediate tensor
      if (model.CheckIfTensorAlreadyExist(fNX) == false){
        throw std::runtime_error("TMVA SOFIE Cast Op Input Tensor is not found in model");
      }
      fShape = model.GetTensorShape(fNX);
      // shoud we add a check if the same type
      auto inputType = model.GetTensorType(fNX);
      if (model.IsInitializedTensor(fNX)) {
         fIsOutputConstant = true;
         auto inputData = model.GetInitializedTensorData(fNX);
         if (ConvertStringToType(fAttrType) == ETensorType::INT64) {
            model.AddConstantTensor<int64_t>(fNY, fShape, static_cast<int64_t*>(inputData.get()));
            model.SetNotWritableInitializedTensor(fNX);
         }
         else
            fIsOutputConstant = false;
      }
      if (!fIsOutputConstant)
         model.AddIntermediateTensor(fNY, ConvertStringToType(fAttrType), fShape);
      if (model.Verbose()) {
         std::cout << "Cast : " << ConvertTypeToString(inputType) << " " << fNX << " -> " << fAttrType << " for " << fNY;
         if (fIsOutputConstant) std::cout << " (constant) ";
         std::cout << std::endl;
      }
   }
 
 
   std::string Generate(std::string OpName){
      if (fIsOutputConstant) return "";
 
      OpName = "op_" + OpName;
      if (fShape.empty()) {
         throw std::runtime_error("TMVA SOFIE Cast called to Generate without being initialized first");
      }
      std::stringstream out;
      size_t length = ConvertShapeToLength(fShape);
 
      // out << SP << ETensorType << " " << OpName << "_attr = "  << fattr << ";\n";
      out << "\n//------ CAST\n";
       // no generated code for constant outputs
      if (fIsOutputConstant) return out.str();
 
      out << SP << "for (int id = 0; id < " << length << " ; id++){\n";
 
      out << SP << SP << "tensor_" << fNY << "[id] = static_cast<"<< fAttrType << ">(tensor_" << fNX << "[id]);\n";
 
      out << SP << "}\n";
      return out.str();
   }
 
};
 
}//SOFIE
}//Experimental
}//TMVA
 
 
#endif //TMVA_SOFIE_ROPERATOR_Cast