NVIDIA L4T PyTorch Container support Jetpack 5.1.1 for Jetson Orin Nano

[smraju]

Hi,

From the l4t pytorch container website NVIDIA L4T PyTorch | NVIDIA NGC I don’t find L4T Pytorch container to support Jetpack 5.1.1 for Jetson Orin Nano. However,

May I know when you will support L4T Pytorch container for Jetpack 5.1.1(L4T R35.3.1)?

[AastaLLL]

Hi,

Sorry that we cannot share schedule-related info here.

A temporal solution is to build the container on top of the l4t-base image.
The package that can run with JetPack 5.1.1 can be found in the below link:
https://developer.download.nvidia.cn/compute/redist/jp/v511/pytorch/

Thanks.

[dusty_nv]

Hi @smraju, you can use nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3 container image on JetPack 5.1.1 / L4T R35.3.1, they are compatible.

If you prefer, you can also build the l4t-pytorch:r35.3.1-pth2.0-py3 container locally from here: https://github.com/dusty-nv/jetson-containers#building-the-containers