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Install ray on all images #750

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@chaserileyroberts chaserileyroberts commented Apr 22, 2024

Installs Ray on the base image to make our containers deployable as Ray workers, so that users can distribute JAX computation to GPU nodes as Ray remote functions.

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Please pin a specific version so that we can have reproducible builds.

The best way to do it consistently is to dump it to a requirements-ray.in file and then let pip-finalize handle it. This way, the dependencies are handled together with all other packages that we want to install.

Example:

echo "numpy >= 1.24.1" >> /opt/pip-tools.d/requirements-jax.in

@yhtang yhtang marked this pull request as draft September 26, 2024 22:58
@yhtang yhtang marked this pull request as ready for review September 26, 2024 23:08
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