If you're working with pytorch, porting basically means export to ONNX. Sometimes you'll run into an op that doesn't work with ONNX, but there are a lot fewer o

If you're working with pytorch, porting basically means export to ONNX. Sometimes you'll run into an op that doesn't work with ONNX, but there are a lot fewer of those in TRT7. Unfortunately I have to work with TRT6, so I have to use PyTorch 1.2 and be "creative" to work around TRT6 bugs. That said, it could very well be painless for you. No reason not to try. Just export the model, and benchmark it with `trtexec`, in both fp32 and fp16. An hour of work at most.