Hey, I tried running a FCN-8 like Network using TensorFlow in Python but whatever I try the machine always runs out of memory and kills the process.
I was using a frozen model using TensorRT to optimize for usage with FP16 but nothing helps.
When I start the program the machine uses around 1.4 of the free 3.87 GB, then the program increases its memory usage until it reaches the maximum and the process gets kill. Even setting the per_process_gpu_memory_fraction to 0.1 does not help.
What should I do? Because if cannot even run a simple network like this one, then the Nano becomes effectively useless for me and I asking what models the Nano is able to run.