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Update setup.md

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@ -100,6 +100,7 @@ sudo apt update
sudo apt upgrade sudo apt upgrade
``` ```
### Installing CUDA ### Installing CUDA
To use the onboard GPU we need to install the CUDA toolkit for Jetson [here](https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=aarch64-jetson&Compilation=Native&Distribution=Ubuntu&target_version=20.04&target_type=deb_local). Specifically: To use the onboard GPU we need to install the CUDA toolkit for Jetson [here](https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=aarch64-jetson&Compilation=Native&Distribution=Ubuntu&target_version=20.04&target_type=deb_local). Specifically:
``` ```
@ -120,6 +121,7 @@ In order to install Torch, we need to know what Jetpack revision we have. You ca
dpkg-query --show nvidia-l4t-core dpkg-query --show nvidia-l4t-core
``` ```
### Installing Conda ### Installing Conda
Simply run the following commands to install Conda: Simply run the following commands to install Conda:
```bash ```bash
@ -141,7 +143,7 @@ conda activate rl-deploy
Finally, install the deep learning libraries needed for the deployments: Finally, install the deep learning libraries needed for the deployments:
####Pytorch #### DL Frameworks
Download and install appropriate version as described [here](https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048): Download and install appropriate version as described [here](https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048):
```bash ```bash