Fix using a non-tuple sequence for multidimensional indexing that wil…

[aarpon]

Fix using a non-tuple sequence for multidimensional indexing that will result in error in pytorch 2.9.

Fixes # .

Description

The SlidingWindowInferer complains that from PyTorch 2.9, using non-tuple sequences to slice into Tensors will result in an error (or, worse, misbehave). This patch targets all places in monai/inferers/utils.py where indexing may happen with lists or other types of sequences.

Types of changes

• Non-breaking change (fix or new feature that would not break existing functionality).
• Breaking change (fix or new feature that would cause existing functionality to change).
• New tests added to cover the changes.
• Integration tests passed locally by running ./runtests.sh -f -u --net --coverage.
• Quick tests passed locally by running ./runtests.sh --quick --unittests --disttests.
• In-line docstrings updated.
• Documentation updated, tested make html command in the docs/ folder.

[coderabbitai]

📝 Walkthrough

Walkthrough

This PR modifies monai/inferers/utils.py to normalize tensor indexing by converting list-based indices to tuples throughout the sliding window inference logic. Changes affect batched and non-batched inference paths, including data gathering, buffer writes, and coordinate accumulation operations. No public API signatures are altered.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title check	✅ Passed	Title directly relates to the main change: converting non-tuple sequences to tuples for multidimensional indexing in PyTorch 2.9.
Description check	✅ Passed	Description covers the issue, solution, and testing status. Some non-critical checklist items are unchecked, but required information is present.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing touches

• 📝 Generate docstrings

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

---

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

_{Comment @coderabbitai help to get the list of available commands and usage tips.}