ParseWhere.cxx

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#include "TMVA/RModelParser_ONNX.hxx"
#include "TMVA/ROperator_Where.hxx"
#include "onnx.hxx"
 
namespace TMVA {
namespace Experimental {
namespace SOFIE {
 
ParserFuncSignature ParseWhere = [](RModelParser_ONNX &parser, const onnx::NodeProto &nodeproto) {
 
   if (nodeproto.input_size() != 3) {
      throw std::runtime_error("TMVA::SOFIE ONNX Parser Where op has invalid input size");
   }
   // condition boolean vector is input 0
   if (!parser.IsRegisteredTensorType(nodeproto.input(0))){
      throw std::runtime_error("TMVA::SOFIE ONNX Parser Where op has input tensor " +  nodeproto.input(0)
                                + " but its type is not yet registered");
   }
   if (!parser.IsRegisteredTensorType(nodeproto.input(1))){
      throw std::runtime_error("TMVA::SOFIE ONNX Parser Where op has input tensor " +  nodeproto.input(1)
                                + " but its type is not yet registered");
   }
   if (!parser.IsRegisteredTensorType(nodeproto.input(2))){
      throw std::runtime_error("TMVA::SOFIE ONNX Parser Where op has input tensor " +  nodeproto.input(2)
                                + " but its type is not yet registered");
   }
   ETensorType input_type = parser.GetTensorType(nodeproto.input(1));
   if (parser.GetTensorType(nodeproto.input(2)) != input_type) {
      throw std::runtime_error("TMVA::SOFIE ONNX parser Where op has input tensors of different types: " +
                  nodeproto.input(2) + " : " + ConvertTypeToString(parser.GetTensorType(nodeproto.input(2))) +
                     " and " +  nodeproto.input(1) + " : " + ConvertTypeToString(input_type));
   }
 
   std::unique_ptr<ROperator> op;
   std::string output_name = nodeproto.output(0);
 
   switch (input_type) {
   //note ROPeratore_WHere signature takes as first tensor the condition
   case ETensorType::FLOAT:
      op.reset(new ROperator_Where<float>(nodeproto.input(0), nodeproto.input(1), nodeproto.input(2), output_name));
      break;
   case ETensorType::INT64:
      op.reset(new ROperator_Where<int64_t>(nodeproto.input(0), nodeproto.input(1), nodeproto.input(2), output_name));
      break;
   default:
      throw std::runtime_error("TMVA::SOFIE - Unsupported - Where Operator does not yet support input type " +
                               std::to_string(static_cast<int>(input_type)));
   }
 
   // Infer the output type
   if (!parser.IsRegisteredTensorType(output_name)) {
      parser.RegisterTensorType(output_name, input_type);
   }
 
   return op;
};
 
 
} // namespace SOFIE
} // namespace Experimental
} // namespace TMVA