LibTorch - single binary to run both on CPU and GPU?

Is it possible, using LibTorch, to dynamically (programatically) select device, e.g., use GPU if machine has it or fallback to CPU?

I think that it is similar to python API

    torch::DeviceType device_type;
    if (torch::cuda::is_available()) {
        device_type = torch::kCUDA;
    } else {
        device_type = torch::kCPU;
    torch::Device device(device_type);

    Net model; // derived torch::nn::Module;

Oh I did not care about “single binary” (I thought it was “single source”). I think it should be tough because you need to link cuda libraries. I’m not sure that the initialization of cuda devices is such lazy.