I was testing the (Meituan/YOLOv6 ) repo on the AGX Orin Dev Kit with Jetpack 5.0.2 (35.1.0), with the Pytorch-L4T containers found here: NVIDIA L4T PyTorch | NVIDIA NGC.
None of the 3 supported containers for Jetpack 5.0.2 worked due to the error:
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
I found this answer by Dusty: CUDA error: no kernel image is available for execution on the device - #5 by i_love_nvidia, which fixed it, and I could run the Pytorch container from Docker Hub dustynv/l4t-pytorch:r35.1.0-pth1.13-py3.
Will there be a similar patch to the NVIDIA L4T Pytorch containers? These are widely advertised, unlike the Pytorch container from Dusty.
Thank you