When I read through the “Two Days To A Demo” script, it seemed reasonable to attempt installing a DIGITS server on the Jetson Nano. I got stopped fairly early in such an attempt: I did not want to try Docker and I could not find a PCIe driver to use to adapt the script to the Nano. So I would first like to know
has anyone gotten the DIGITS server to a) run on the Nano, and if so, b) how did it install, and c) what are the training times when the server software is used for the examples?
I ended up using PyTorch and doing the retraining for a client using the plantCLEF data. That took about 12 hours, and I chose to run with a 4GB swapfile and power mode 1 (5W) to keep the system from shutting down during training. The script suggested that 8 hours would do for this retraining example. Thus my next question is
How can one do it that fast on a nano? Do they use a fan and power mode 0? Or a larger swap file? Or perhaps they used a faster microSD card for the system install?
If this question is not answered, I would settle for some more examples I could use to show my client about training and retraining using the Nano, combined with expected runtimes and configurations. Besides power mode and swap file size, what other system configuration parameters can I tweak to improve retraining speed?