[RELEASE] docker v25.02 #731
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Forward-merge branch-24.12 into branch-25.02
Separates the workflows for building the RAPIDS end user images and the cuVS images. The cuVS images do not depend on the RAPIDS end user images, so they can be built in parallel. This also allows for finer grained retries in case of failures. Also switches to using `rapids-mamba-retry` for installing conda packages. Finally, disables building the `cuvs-bench-datasets` images which are consistently failing (#724) until a better solution than the workaround in #723 is ready. 5adab54 can be reverted to re-enable this. Authors: - Ray Douglass (https://github.com/raydouglass) Approvers: - Jake Awe (https://github.com/AyodeAwe) URL: #725
This updates to CUDA 12.8.0. xref: rapidsai/build-planning#139 Authors: - Bradley Dice (https://github.com/bdice) Approvers: - Mike Sarahan (https://github.com/msarahan) URL: #728
Working with @taureandyernv yesterday, we tried something like this to patch in a dependency at run time. ```shell cat > ./environment.yml <<EOF channels: - dglteam/label/th23_cu121 dependencies: - dgl EOF docker run \ --rm \ -v $(pwd)/environment.yml:/home/rapids/environment.yml \ -it rapidsai/base:25.02a-cuda12.5-py3.12 \ conda env export ``` Found that that prompts for confirmation: ```text Package Version Build Channel Size ────────────────────────────────────────────────────────────────────────── Install: ────────────────────────────────────────────────────────────────────────── + dgl 2.4.0.th23.cu121 py312_0 dglteam/label/th23_cu121 295MB Summary: Install: 1 packages Total download: 295MB ────────────────────────────────────────────────────────────────────────── Confirm changes: [Y/n] ``` But that prompt seems not to make it through to `mamba`. And even if that did work, this interactive prompt prevents the use of the "mount in an `environment.yml`" approach in situations where you aren't running the container interactively... for example, where you want to use this image in a container in a Kubernetes Pod, and provide an `environment.yml` via a ConfigMap or file Secret. This proposes skipping the confirmation and always running `mamba env update -y` when an `environment.yml` is provided. ## Notes for Reviewers ### How I tested this Pulled an image built from this PR and confirmed that that install pattern described above works and does not prompt for interactive input. ```shell cat > ./environment.yml <<EOF channels: - dglteam/label/th23_cu121 dependencies: - dgl EOF docker run \ --rm \ -v $(pwd)/environment.yml:/home/rapids/environment.yml \ -it rapidsai/staging:docker-727-25.02a-cuda12.5-py3.12 \ conda env export ``` ```text ... - dgl=2.4.0.th23.cu121=py312_0 ... ``` Authors: - James Lamb (https://github.com/jameslamb) - Bradley Dice (https://github.com/bdice) Approvers: - Bradley Dice (https://github.com/bdice) URL: #727
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❄️ Code freeze for
branch-25.02and v25.02 releaseWhat does this mean?
Only critical/hotfix level issues should be merged into
branch-25.02until release (merging of this PR).What is the purpose of this PR?
branch-25.02intomainfor the release