I want to convert a pb model for a custom superresolution algorithm to TensorRT and run it on Nvidia AGX device. Every tutorial I come by is about “custom classification” examples. I need guidance on:
how to convert a (preferably superresolution) model to tensorRT, I can only convert models with input sizes equals to the first layer filter size, what does it even mean?
how to wrap the .engine so that I can feed input/output correctly, do I need to feed 5x5 chunks or what else?
how to work with a TRT model without needing “deepstream-app”, is it even possible?