@jfix…the whole idea was to run inference in pytorch and compare it to the AOT bundle that is generated using glow. I assume that that pytorch has been focusing on inference on cpu and multi-core whereas  glow is focused more on hardware accelerators. I did have a question if I had to compare execution of both on cuda gpu what would be a good way to get some results?