Have you fixed the NGC catalog PyTroch issue for this case?

I am using the AGX ORIN DEV KIT, Jetpack 5.0.2, and I am experiencing an error while using the pytorch-l4t container.

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.

Found similar questions on the forum,

When is the PyTroch problem of NGC directory expected to be fixed?


Currently, please use the below DockerHub instead:

The issue will be fixed in the next container release.
(Usually it comes with new JetPack release, but no guarantee)


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