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lukasgdboeschf
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Update docs/software/ml/pytorch.md
Co-authored-by: boeschf <[email protected]>
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docs/software/ml/pytorch.md

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@@ -12,7 +12,7 @@ Running PyTorch from a container ensures maximum portability, reproducibility, a
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1. selecting an appropriate base image and customizing it in a Dockerfile
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2. defining the container runtime environment in an EDF
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3. (optionally) extending by a virtual environment
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3. (optionally) extending with a virtual environment
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4. submitting jobs with CE in SLURM
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These steps are illustrated in the [machine learning platform tutorials][ref-software-ml-tutorials] and the instructions detailed in the [podman build guide][ref-build-containers].

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