I’m trying to run a project, that is a deployment of a trained neural network, on Jetson Nano.
Actually, the project was created for Jetson AGX Xavier, but I’m trying to transfer it to Nano. I’ve already managed to compile it, but as I run it I get some messages and it ends up with an error.
I suppose the problem may come from this:
2020-03-23 11:59:33.002863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1700] Ignoring visible gpu device (device: 0, name: NVIDIA Tegra X1, pci bus id: 0000:00:00.0, compute capability: 5.3) with Cuda compute capability 5.3. The minimum required Cuda capability is 7.2.
What I’ve done before was copying not only project but actually tensorflow installed libraries: libtensorflow.so, libtensorflow_framework.so from Xavier.
Is my reasoning correct, that copying tensorflow from Xavier, which CUDA capability is higher is now causing problems? Or the cause may be different? What steps would you recommend now (I’m beginner when it comes to Jetson devices)?