First Question
what is the best way of learning and implementing the nature of trt with Pytorch?
Description
I set the workspace to be 2 GB. but the model uses 3.6 GB of ram when running
Environment
TensorRT Version: 8.*
GPU Type: Jetson Nano jetpack 4.6
Nvidia Driver Version:
CUDA Version: 10.2
CUDNN Version:
Operating System + Version: ubuntu
Python Version (if applicable): 3.6
TensorFlow Version (if applicable):
PyTorch Version (if applicable): 1.10.0
Baremetal or Container (if container which image + tag):
Relevant Files
Steps To Reproduce
Run trt exporter of yolov5 model. then inference with exported model