I am trying to run the Tensorflow Object detection api. I gave the Jetson TX2 8Gb of extra swap space, and I have confirmed the swap space has been enabled ( I can see it in system monitor). When I run the model for inference, I am watching the RAM usage. The RAM gets fully used but the swap space doesn’t get touched. Then the program throws an error saying “too many resources requested for launch”
How am I running out of memory if the system monitor doesn’t show the Jetson using up swap space memory?