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docs/software/ml/pytorch.md
@@ -11,7 +11,7 @@ While NGC provides an optimized build of PyTorch with many dependencies included
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Running PyTorch from a container ensures maximum portability, reproducibility, and ease of use across machines. This is achieved by
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1. selecting an appropriate base image and customizing it in a Dockerfile
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-2. define the container runtime environment in an EDF
+2. defining the container runtime environment in an EDF
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3. (optionally) extending by a virtual environment
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4. submitting jobs with CE in SLURM
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