[tmva][sofie] Fix compilation warnings due to missing override

tmva/sofie/inc/TMVA/ROperator_Conv.hxx

@@ -303,8 +303,8 @@
    // Generate code for Session data members (e.g. internal vectors)
    virtual std::string GenerateSessionMembersCode(std::string opName) override {
 
       size_t outputChannelSize = fShapeY[2];  // size/channel = D * H * W
       size_t kernelSize = fAttrKernelShape[0];
       for (size_t i = 1; i < fDim; i++) {
          outputChannelSize *= fShapeY[2 + i];
          kernelSize *= fAttrKernelShape[i];
@@ -345,10 +345,6 @@
 
       out << "\n//----  operator Conv " << OpName << "\n";
 
-      // create first matrix with convolution kernels
-      if (!fUseSession)
-         out << SP << fType << " tensor_" << fNX << "_f[" << fShapeW[0] * fShapeW[1] * fAttrKernelShape[0] * fAttrKernelShape[1] << "] = {0};\n";
-
       // vectorize the (dilated)convolution kernels into a matrix
       // no need to transpose the matrix
       // to fix for 1d and 3d
@@ -401,11 +397,6 @@
       out << SP << "float " << OpName << "_alpha = 1.0;\n";
       out << SP << "float " << OpName << "_beta = 0.0;\n";
 
-      if (!fUseSession) {
-         out << SP << fType << " tensor_" << fNX << "_xcol["
-             << fShapeX[1] * fAttrKernelShape[0] * fAttrKernelShape[1] * fAttrKernelShape[2] * oDepth * oHeight * oWidth
-             << "] = {0};\n";
-      }
 
       // Loop on batch size
       out << SP << "for (size_t n = 0; n < " << bsize << "; n++) {\n";

tmva/sofie/inc/TMVA/ROperator_Elu.hxx

@@ -49,7 +49,7 @@ public:
       return ret;
    }
 
-   void Initialize(RModel& model){
+   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 Elu Op Input Tensor is not found in model");
       }

tmva/sofie/inc/TMVA/ROperator_Range.hxx

@@ -92,7 +92,7 @@ public:
       if (model.Verbose()) {
          std::cout << "Range -> output is " << fNOutput << " ";
          if (fIsOutputConstant) std::cout << ConvertDynamicShapeToString(fShape) << std::endl;
-         else std::cout << ConvertShapeToString(model.GetTensorShape(fNOutput)) << std::endl;
+         else std::cout << ConvertDynamicShapeToString(model.GetDynamicTensorShape(fNOutput)) << std::endl;
       }
    }
 

tmva/sofie/inc/TMVA/ROperator_Reduce.hxx

@@ -120,7 +120,7 @@ public:
       model.AddNeededStdLib("algorithm");
    }
 
-   std::string Generate(std::string opName){
+   std::string Generate(std::string opName) override {
       opName = "op_" + opName;
       if (fShapeX.empty() || fShapeY.empty()) {
          throw std::runtime_error("TMVA SOFIE Reduce Op called to Generate without being initialized first");