OS: Win10, Cuda10 VS2015  RTX2080 TI
I use pytorch C++.
bool DeepReconImpl::Initial(char* strModPath,int iDeviceID)
{
at::Device m_Device = at::Device(at::kCUDA, iDeviceID);
std::filebuf inModelFile;
inModelFile.open(strModPath, std::ios::in | std::ios::binary);
std::istream inModel(&inModelFile);

m_pNet = torch::jit::load(inModel);
m_pNet->to(m_Device, false);

inModelFile.close();
return true;

}
When test cases are running,   the GPU Cpmpute_0 is  used at 90% from windows task manger.
But I don’t know if RXT 2080ti tensor cores are been used.