I am training a neural network on a Nano using Python 3.6 and CUDA. However, my process gets killed. If I run the same code on OS X, the script works fine. device = torch.device("cuda" if (torch.cuda.is_available() and in_args.gpu == "gpu") else "cpu") I get the output below when monitoring perfor…

Yes, you’re running out of memory. The kernel OOM killer chooses your training process to kill. In general, swap is never a good solution – modern Linux systems often choose to run without it entirely. (In fact, Kubernetes will even fail to start a node if swap is enabled!) If you try to run a wor…

Script killed

Autonomous Machines Jetson & Embedded Systems Jetson Nano

mdegans June 21, 2019, 6:15am 6

Thank you. That will probably work for my purposes if I run into this.