This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
I was wondering if you created a swapfile on your TX2. And I am trying to run YOLOv3 optimization on Jetson Nano and it consumes 3.4G of built in memory and 6.7G swap while max workspace is set to 256mb, is this normal?
I was wondering if you created a swapfile on your TX2. And I am trying to run YOLOv3 optimization on Jetson Nano and it consumes 3.4G of built in memory and 6.7G swap while max workspace is set to 256mb, is this normal?