Jetpack 4.6 L4T 32.6.1 allows pytorch cuda support

[pedro.valdes.guzman]

… That previous JetPack 4.5.1 L4T 32.5.1 I wasn’t be able to.
It involves a new trouble: couldn’t install tensorflow.

[AastaLLL]

Hi,

Since Jetson is an ARM system, some libraries may not release a package for it.
For PyTorch, you can install our prebuilt package instead.

The instructions can be found in the below topic:

PyTorch for Jetson

Below are pre-built PyTorch pip wheel installers for Jetson Nano, TX1/TX2, Xavier, and Orin with JetPack 4.2 and newer. Download one of the PyTorch binaries from below for your version of JetPack, and see the installation instructions to run on your Jetson. These pip wheels are built for ARM aarch64 architecture, so run these commands on your Jetson (not on a host PC). You can also use the pre-built l4t-pytorch and l4t-ml container images and Dockerfiles. PyTorch pip wheels JetPack 5

PyTo…

You can also use our docker container with PyTorch installed as an alternative:
l4t-pytorch: NVIDIA L4T PyTorch | NVIDIA NGC
l4t-ml: NVIDIA L4T ML | NVIDIA NGC

Thanks.