[tmva][sofie] shape inference method need not be pure virtual

Author: sanjibansg

Diff for: tmva/sofie/inc/TMVA/ROperator.hxx

@@ -21,8 +21,8 @@ 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>>) = 0;
-   virtual std::vector<ETensorType> TypeInference(std::vector<ETensorType>) = 0;
+   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

Diff for: tmva/sofie/inc/TMVA/ROperator_Shape.hxx

@@ -35,16 +35,6 @@ public:
          fOutputTensorNames = { fNY };
    }
 
-   std::vector<ETensorType> TypeInference(std::vector<ETensorType> input) override {
-      return input;
-   }
-
-   std::vector<std::vector<size_t>> ShapeInference(std::vector<std::vector<size_t>> input) override {
-      std::vector<std::vector<size_t>>  ret;
-      ret[0].push_back(input[0].size());
-      return ret;
-   }
-
    void Initialize(RModel& model) override {
       if (model.CheckIfTensorAlreadyExist(fNX) == false){   //input must be a graph input, or already initialized intermediate tensor
          throw std::runtime_error("TMVA SOFIE Shape Op Input Tensor " + fNX + " is not found in model");