Install Pytorch with cuda on Jetson Orin nano Devloper Kit

dusty_nv · July 8, 2024, 6:51pm

For other versions of Python than the default, you will need to build PyTorch from source like shown in this topic, or using jetson-containers:

github.com

dusty-nv/jetson-containers/blob/master/docs/build.md#changing-versions

# Building Containers

The [`jetson-containers build`](/jetson-containers) command is a proxy launcher for [`jetson_containers/build.py`](/jetson_containers/build.py).  It can be run from any working directory after you clone the repo and run the installer from the [System Setup](/docs/setup.md) (you should also probably mount additional storage when building containers)

To list the packages available to build for your version of JetPack/L4T, you can use `--list-packages` and `--show-packages`:

```bash
$ jetson-containers build --list-packages       # list all packages
$ jetson-containers build --show-packages       # show all package metadata
$ jetson-containers build --show-packages ros*  # show all the ros packages
```

To build a container that includes one or more packages:

```bash
$ jetson-containers build pytorch               # build a container with just PyTorch
$ jetson-containers build pytorch jupyterlab    # build container with PyTorch and JupyterLab
```

The builder will chain together the Dockerfiles of each of packages specified, and use the result of one build stage as the base image of the next.  The initial base image defaults to one built for your version of JetPack, but can be changed by specifying the [`--base` argument](#changing-the-base-image).

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Install Pytorch with cuda on Jetson Orin nano Devloper Kit

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