use CUDA 13.0.1 CI images

[jameslamb]

RAPIDS recently started building and testing against CUDA 13.0.1:

• Use CUDA 13.0.1 ci-imgs#304
• Update CUDA version to 13.0.1 shared-workflows#423

This updates hard-coded 13.0.0 references in some CI jobs to 13.0.1.

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[jameslamb]

/ok to test

[jameslamb]

GitHub just recently announced support for YAML anchors: https://github.blog/changelog/2025-09-18-actions-yaml-anchors-and-non-public-workflow-templates/

This seems like a useful application for them.

[jameslamb]

All Python tests are failing, across all combinations (amd64 and arch, CUDA 12 and 13, conda and wheels), with errors like this:

FAILED python/cuvs/cuvs/tests/test_brute_force.py::test_prefiltered_brute_force_knn[bitmap-float32-True-sqeuclidean-0.01-32-100-100-100] - AssertionError: 
Not equal to tolerance rtol=0.001, atol=0.001

nan location mismatch:
 ACTUAL: array([13.072728,       inf,       inf,       inf,       inf,       inf,
             inf,       inf,       inf,       inf,       inf,       inf,
             inf,       inf,       inf,       inf,       inf,       inf,...
 DESIRED: array([13.072731,       nan,       nan,       nan,       nan,       nan,
             nan,       nan,       nan,       nan,       nan,       nan,
             nan,       nan,       nan,       nan,       nan,       nan,...

(wheel-tests-cuvs link)

I don't believe this is related to the changes in this PR.

It looks like this was happening on other PRs before rapidsai/shared-workflows#423 was merged, so probably not related to a CUDA 13.0.0 vs. 13.0.1 difference. For example, from 3 days ago: https://github.com/rapidsai/cuvs/actions/runs/17864860319/job/50807276494

[jameslamb]

Saw some offline discussion with @cjnolet and @achirkin suggesting this may be caused by these changes in RAFT: rapidsai/raft#2807

[achirkin]

The likely fix is rapidsai/raft#2814, currently testing against it in #1356

[jameslamb]

/merge