Comments (2)
cc: @galipremsagar @charlesbluca When we finalize dask pinnings and/or do a dask-sql release for a given RAPIDS release, maybe we can add a step in the process to make sure itβs picked up here before code freeze?
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Yeah that makes sense to me - in general, there's not been too much friction integrating dask-sql with the rest of RAPIDS, but when things break they can break quite spectacularly so I'm happy to take more of a hands on process with bumping things π
For the issue itself, it's worth noting that we should be able to explicitly set the branch getting checked out for the PR and the base branch for the PR (though it defaults to the checked out branch); would it help here to explicitly set that branch in the workflow file (or even parametrize to check out and open/update multiple PRs) and have it get updated with the version updater script?
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Related Issues (20)
- [QST] Can we remove old tags HOT 1
- [BUG] rapidsai/rapidsai-core:23.02-cuda11.5-runtime-ubuntu22.04-py3.8 not on github HOT 1
- No nvcc or nvidia-smi in docker HOT 3
- password for jupyterlab daskscheduler and diagserver HOT 5
- Repository overhaul for RAPIDS v23.08 HOT 2
- [BUG] GPU Dashboard not visible in latest RAPIDS container (23.04) HOT 1
- [FEA] Github self-hosted runner image HOT 1
- Switch to non-`root` user HOT 2
- [FEA] Split up build & test workflows
- [FEA] Allow writing to `/var/run`
- [QST] How to install additional system packages HOT 1
- Notebook image no longer works with Kubeflow? HOT 8
- Dependency Dashboard
- [DOC] links to docker hub in README.md are deprecated HOT 1
- [FEA] add tests on image characteristics HOT 1
- [BUG] can't run `python -m distributed.cli.dask_spec` HOT 4
- [BUG] singularity run 24.04-cuda12.2-py3.11 image fail with: stat /home/rapids/entrypoint.sh: permission denied
- [BUG] WSL - No NVIDIA GPU detected but nvidia-smi works and shows device HOT 2
- Configure `pr-builder` for `rapidsai/docker`
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