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Nov 14, 2023
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clarify CUDA and driver versions #570

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13 changes: 9 additions & 4 deletions README.md
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Expand Up @@ -70,11 +70,14 @@ You can install this package and dependences in a [python virtual environment](#
pip3 install -e '.[jax_cpu]'
pip3 install -e '.[pytorch_gpu]' -f 'https://download.pytorch.org/whl/torch_stable.html'
pip3 install -e '.[full]'
```
```

### Python virtual environment

Note: Python minimum requirement >= 3.8
#### Prerequisites
- Python minimum requirement >= 3.8
- CUDA 11.8
- NVIDIA Driver version 535.104.05

To set up a virtual enviornment and install this repository

Expand Down Expand Up @@ -115,12 +118,14 @@ pip3 install -e '.[full]'

### Docker

We recommend using a Docker container to ensure a similar environment to our scoring and testing environments.
We recommend using a Docker container to ensure a similar environment to our scoring and testing environments.
Alternatively, a Singularity/Apptainer container can also be used (see instructions below).

We recommend using a Docker container to ensure a similar environment to our scoring and testing environments.

**Prerequisites for NVIDIA GPU set up**: You may have to install the NVIDIA Container Toolkit so that the containers can locate the NVIDIA drivers and GPUs.
#### Prerequisites
- NVIDIA Driver version 535.104.05
- NVIDIA Container Toolkit so that the containers can locate the NVIDIA drivers and GPUs.
See instructions [here](https://github.com/NVIDIA/nvidia-docker).

#### Building Docker Image
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