Bump the python-packages group with 2 updates

[dependabot]

Bumps the python-packages group with 2 updates: ultralytics and torch.

Updates ultralytics from 8.3.141 to 8.4.33

Release notes

Sourced from ultralytics's releases.

v8.4.26 - Platform NDJSON autosplit (#23990)

🌟 Summary

v8.4.26 focuses on reliability and usability improvements: smarter Platform dataset handling (auto-validation split for NDJSON), more robust Platform URL resolution, and an important FP16 SAM inference crash fix—plus CI and docs polish. 🚀

📊 Key Changes

• ✅ Platform NDJSON auto-split (PR #23990, @​glenn-jocher)
  If a dataset has a train split but no val/test, Ultralytics now automatically creates a small validation split from training data instead of failing immediately.

  • Uses a deterministic split approach for consistency.
  • Warns users to still create a manual validation split for best quality.

• 🌐 More reliable Ultralytics Platform URI resolution (PR #23990, @​glenn-jocher)
  Improved ul://... resolution with:

  • Retry logic for transient connection issues
  • Better timeout strategy (fast connect timeout + longer read timeout for large dataset processing)
  • Clearer handling for auth, permission, not-found, and processing states

• 🧠 FP16 SAM TinyViT inference crash fix (PR #23780, @​Edwin-Kevin)
  Fixed a half-precision inference error in SAM TinyViT models (like mobile_sam.pt) caused by dtype mismatch in cached tensors.

  • Model setup order was adjusted so cached eval-time tensors match FP16 expectations.
  • Added/updated CUDA test coverage with half=True.

• ⚙️ CI simplification and stability updates (mainly PR #23990)

  • Removed dedicated HUB CI job and related manual trigger
  • Standardized many CI runners from cpu-latest to ubuntu-latest
  • Temporarily pinned GPU CI to torch<2.11 until CUDA 13 driver support is ready

• 📚 Platform docs improvements

  • Added embedded onboarding videos to key Platform docs pages (Quickstart, Account, Data, Train, Deploy) via PR #23986 by @​RizwanMunawar
  • Updated docs chat script to v0.2.7 via PR #23989 by @​glenn-jocher

🎯 Purpose & Impact

• Less friction for dataset conversion 📦
  Users importing NDJSON datasets into YOLO workflows are less likely to hit hard failures when a validation split is missing.

• Better reliability in cloud/remote workflows ☁️
  Platform URI retries and timeout tuning reduce flaky failures, especially with large datasets or temporary network instability.

• More stable FP16 segmentation inference 🎯
  Users running SAM TinyViT in half precision on GPU should see fewer runtime dtype crashes and smoother deployment behavior.

• Cleaner maintenance pipeline for Ultralytics 🛠️
  CI changes reduce complexity and improve consistency, helping keep releases stable.

• Faster onboarding for new users 🎥
  The new Platform tutorial videos make it easier for broad audiences to get started quickly with data, training, and deployment.

What's Changed

• Add Platform videos to docs by @​RizwanMunawar in ultralytics/ultralytics#23986
• Fix FP16 inference crash from TinyViT cached bias dtype mismatch by @​Edwin-Kevin in ultralytics/ultralytics#23780
• Update chat.js v0.2.7 by @​glenn-jocher in ultralytics/ultralytics#23989

... (truncated)

Commits

• dfbb343 ultralytics 8.4.33 Progressive loss train resume fix (#24074)
• 6a0a815 Pass CoreML output_shape arg (#24078)
• 4368be8 Add support for multiple ray tune search algorithms (#23946)
• 94fac39 ultralytics 8.4.32 Expand Axelera exportable models and tasks (#23844)
• 60e529e Update docs banner (#24009)
• 572d381 Tar.gz (#24058)
• 8a2bf89 20GB and 50GB Pro and Enterprise docs updates (#24057)
• 9063802 Add multi-task annotation storage documentation (#24044)
• 833eeb5 Add https://youtu.be/VHGfpOrPh-s to docs (#24055)
• 1f3ad6b Fix overlapping text with inline code in docs (#24054)
• Additional commits viewable in compare view

Updates torch from 2.8.0 to 2.11.0

Release notes

Sourced from torch's releases.

PyTorch 2.11.0 Release Notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation
• Developers
• Security

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Release Engineering

... (truncated)

Commits

• 70d99e9 [release only] Increase timeout for rocm libtorch and manywheel builds (#178006)
• 3e05c5a [MPS] Properly handle conjugated tensors in bmm (#178010)
• db741c7 [MPS] fix compiling of SDPA producing nan results (#178009)
• 483b55d Update pytorch_sphinx_theme2 version to 0.4.6 (#177616)
• 7f2cdeb [windows][smoke test] Add an option to install cuda if required cuda/cudnn on...
• 76fd078 [release-only] Fix libtorch builds. Fix lint (#177299)
• fa384de [Inductor][MPS] Fix half-precision type mismatches in Metal shader codegen (#...
• 036b25f Let stable::from_blob accept a lambda as deleter (cherry-pick) (#176440)
• 41f8e3e [CI] Stop using G3 runners (#177161)
• e2fa295 [CD] Unpin cuda-bindings dependencies (#177159)
• Additional commits viewable in compare view

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