Building containers from Conda/pip environments

Presenter: Julius Roeder (DeIC)

Content:

• Containers from conda/pip environments
• Recipes for PyTorch, Tensorflow, and JAX/Flax on LUMI

Extra materials

More materials will become available during and shortly after the course.

• Presentation slides

• Hands-on exercises

• "Bonus materials" from the course GitHub contains among other things the files used to generate the container used in the course with the cotainr tool.

• Further reading materials from the slides:

  • LUMI Docs containers page

  • LUMI Docs installing Python packages page

  • Cotainr conda env documentation

  • Conda environment documentation

  • Pip requirements.txt file specification

  • ROCm compatibility kernel / user space compatibility

• The additional training materials mentioned in the "Running containers" page are relevant for this presentation also.

Q&A

/