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docs/hpc/08_ml_ai_hpc/02_pytorch_intro.md

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@@ -62,7 +62,7 @@ Let's first switch to a compute node, so we don't overly tax our login node:
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This uses the `torchvision` package, so you'll need to run it with our overlay file:
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```bash
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[NetID@cm001 pytorch_single_gpu]$ singularity exec --nv --overlay /scratch/rjy1/pytorch-example/my_pytorch.ext3:ro /scratch/work/public/singularity/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif /bin/bash -c "source /ext3/env.sh; python download_data.py"
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[NetID@cm001 pytorch_single_gpu]$ singularity exec --nv --overlay /scratch/NetID/pytorch-example/my_pytorch.ext3:ro /scratch/work/public/singularity/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif /bin/bash -c "source /ext3/env.sh; python download_data.py"
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```
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After running the command above you should see that it has created a subdirectory named `data` that contains the data we'll use in this example.
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