ParseTranspose.cxx

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#include "TMVA/RModelParser_ONNX.hxx"
#include "TMVA/ROperator_Transpose.hxx"
#include "onnx_proto3.pb.h"
 
namespace TMVA {
namespace Experimental {
namespace SOFIE {
 
ParserFuncSignature ParseTranspose = [](RModelParser_ONNX &parser, const onnx::NodeProto &nodeproto) {
   ETensorType input_type;
 
   auto input_name = nodeproto.input(0);
   if (parser.IsRegisteredTensorType(input_name)) {
      input_type = parser.GetTensorType(input_name);
   } else {
      throw std::runtime_error("TMVA::SOFIE ONNX Parser tranpose op has input tensor" + input_name +
                               " but its type is not yet registered");
   }
 
   std::unique_ptr<ROperator> op;
   std::string output_name = nodeproto.output(0);
   std::vector<int_t> attr_perm;
 
   if (nodeproto.attribute_size() == 1) {
      attr_perm.assign(nodeproto.attribute(0).ints().begin(), nodeproto.attribute(0).ints().end());
   }
 
   switch (input_type) {
   case ETensorType::FLOAT:
      if (!attr_perm.empty()) {
         op.reset(new ROperator_Transpose<float>(attr_perm, nodeproto.input(0), nodeproto.output(0)));
      } else {
         op.reset(new ROperator_Transpose<float>(nodeproto.input(0), nodeproto.output(0)));
      }
      break;
   case ETensorType::INT64:
      if (!attr_perm.empty()) {
         op.reset(new ROperator_Transpose<int64_t>(attr_perm, nodeproto.input(0), nodeproto.output(0)));
      } else {
         op.reset(new ROperator_Transpose<int64_t>(nodeproto.input(0), nodeproto.output(0)));
      }
      break;
   default:
      throw std::runtime_error("TMVA::SOFIE - Unsupported - Operator Transpose does not yet support input type " +
                               std::to_string(static_cast<int>(input_type)));
   }
 
   if (!parser.IsRegisteredTensorType(output_name)) {
      parser.RegisterTensorType(output_name, input_type);
   }
 
   return op;
};
 
} // namespace SOFIE
} // namespace Experimental
} // namespace TMVA