Strange problem: 'GpuLaunchKernel( params... ) status: Internal: too many resources requested for launch'

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
3

Hi,

Sorry for the late reply.
You can find a similar issue in the following page:

Basically, the resource of Nano is not enough to deploy your model.
Please noticed that Nano only has 4G memory and need to shared by CPU and GPU.
It’s recommended to measure the total memory usage for 1060 on desktop first.

Thanks.