[D] Looking for fastest inference way to run a pytorch model on TensorRT

I've been looking at options to get my trained pytorch model onto the TensorRT engine (since that appears to be the fastest inference setup for Nvidia devices). However, there seem to be several ways to do this and I was wanting to know if anyone has experience with which of these approaches yield the best throughput results?

1. converting a torch model to tensorrt using torch-tensorrt (this library seems pretty new and the documentation has a lot of issues and …

devices experience however inference machinelearning nvidia pytorch setup tensorrt