User Guide

Jetson AGX™ Orin Developer Kit Reviewer's Guide
19
Additional Resources
Pytorch Wheels
We have hosted Pytorch wheels here:
https://nvidia.box.com/shared/static/19je2l0ppy1fpq4mw1a5gsbb5y9fopy7.whl
For installation, please do the following steps:
wget
https://nvidia.box.com/shared/static/19je2l0ppy1fpq4mw1a5gsbb5y9fopy7.whl -O
torch-1.10.0-cp38-cp38-linux_aarch64.whl
sudo apt-get install python3-pip libopenblas-base libopenmpi-dev
pip3 install Cython
pip3 install numpy torch-1.10.0-cp38-cp38-linux_aarch64.whl
Pytorch Container
Please pull the pytroch container by following steps below:
Step 1: Log into Nvidia GPU Cloud
sudo docker login nvcr.io
User username as $oauthtoken and password as
“NzRkbGFham5hYmFjZWdxcDdwY2c1b3VyaXQ6MWQ3NmVkNjQtNGIyNS00MGFkLTlhYzEtYzNjMjkzZTc2
OTZi” like shown below.
docker login nvcr.io
Username: $oauthtoken
Password:
NzRkbGFham5hYmFjZWdxcDdwY2c1b3VyaXQ6MWQ3NmVkNjQtNGIyNS00MGFkLTlhYzEtYzNjMjkzZTc2OTZi
Step 2: Pull and start the container
sudo docker run -it --rm --runtime nvidia --network host nvcr.io/ea-
linux4tegra/l4t-pytorch:r34.0.1-pth1.10-py3