[infra] Add CUDA version check for USE_CUNLS

[slepichev]

Summary by CodeRabbit

• Bug Fixes
  • Added a configuration check requiring CUDA Toolkit 12.6 or newer when building cuNLS.
  • Builds now fail early with a clear error when an unsupported CUDA version is detected.

[coderabbitai]

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: ASSERTIVE

Plan: Enterprise

Run ID: 47ed6dd9-9d53-4369-afc9-699094a76bb8

📥 Commits

Reviewing files that changed from the base of the PR and between 57f42cc and 21b0044.

📒 Files selected for processing (1)

• cmake/ext/cunls.cmake

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📝 Walkthrough

Walkthrough

cuNLS configuration now requires CUDA Toolkit 12.6 or newer and emits a fatal configuration error for older versions.

Changes

cuNLS CUDA compatibility

Layer / File(s)	Summary
Enforce minimum CUDA version cmake/ext/cunls.cmake	Adds a configuration-time CUDAToolkit_VERSION check that requires CUDA 12.6 or newer, while preserving the existing USE_CUDA guard and cuNLS setup flow.

Estimated code review effort: 1 (Trivial) | ~5 minutes

Suggested reviewers: hrabeti-nvidia, vikuznetsov-nvidia

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title accurately summarizes the main change: adding a CUDA version check for cuNLS/USE_CUNLS.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch slepichev/cunls-cuda-version-check

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[github-actions]

Test Results

Status	Platform	Language	Total	Passed	Failed	Errors	Skipped
✅	Orin	C++	16	16	0	0	0
✅	Orin	Python	71	70	0	0	1
✅	Thor	C++	16	16	0	0	0
✅	Thor	Python	71	70	0	0	1
✅	x86_64	C++	16	16	0	0	0
✅	x86_64	Python	71	70	0	0	1

cuVSLAM Evaluation KPIs

Config	Dataset	ATE,%	ARE,º/m	Kabsch,	Losts,	diff ATE,%	diff ARE,º/m	diff Kabsch,	diff Losts,	FPS,Hz
x86_64-cuda12.6.3-ubuntu24.04	KITTI-STEREO_ODOM	0.8439	0.0023	2.8522	0	NA	NA	NA	NA	307.9
x86_64-cuda12.6.3-ubuntu24.04	KITTI-STEREO_SLAM	0.755	0.002	1.9398	0	NA	NA	NA	NA	179.2

Artifacts

• eval-html-report
• eval-kpis-pr
• test-results-x86_64
• docs-html
• test-results-orin
• test-results-thor