Add roc-auc-ovr as score to b_main

src/main/RocAuc.cpp

@@ -4,27 +4,7 @@
 #include <utility>
 #include "RocAuc.h"
 namespace platform {
-    std::vector<int> tensorToVector(const torch::Tensor& tensor)
-    {
-        // Ensure the tensor is of type kInt32
-        if (tensor.dtype() != torch::kInt32) {
-            throw std::runtime_error("Tensor must be of type kInt32");
-        }
-
-        // Ensure the tensor is contiguous
-        torch::Tensor contig_tensor = tensor.contiguous();
-
-        // Get the number of elements in the tensor
-        auto num_elements = contig_tensor.numel();
-
-        // Get a pointer to the tensor data
-        const int32_t* tensor_data = contig_tensor.data_ptr<int32_t>();
-
-        // Create a std::vector<int> and copy the data
-        std::vector<int> result(tensor_data, tensor_data + num_elements);
-
-        return result;
-    }
+    
     double RocAuc::compute(const torch::Tensor& y_proba, const torch::Tensor& labels)
     {
         size_t nClasses = y_proba.size(1);