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jacobdurrant committed Dec 19, 2023
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Expand Up @@ -211,12 +211,19 @@ $ source ./leadopt_env/bin/activate
$ pip install -r requirements.txt
$ pip install prody
$ pip install torch==2.1.2+cu118 torchvision==0.16.2+cu118 --index-url https://download.pytorch.org/whl/cu118
$ sudo apt install nvidia-cuda-toolkit
```

<!-- pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html -->
<!-- 2.1.2+cu118 -->
Regarding the nvidia-cuda-toolkit, you may wish to ensure that the toolkit
version matches cuda installed on your machine. You can check the version of
cuda by running the following commands:

Note: `Cuda 10.1` is required during training
```sh
$ nvcc --version
$ nvidia-smi
```

Note: We used `Cuda 10.1` for training.

## Training

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