perform better on specific target hardware in the NVIDIA family, and TRTorch enables us to continue to remain in the PyTorch ecosystem whilst doing so. This allows us to leverage the great features in PyTorch, including module composability, its flexible tensor implementation, data loaders and more. TRTorch is available to use with both PyTorch and LibTorch.
       </p>
       <p>
        To get more background information on this, we suggest the
        <strong>
         lenet-getting-started
        </str