build: update torch requirement from <2.9.0,>=2.7.0 to >=2.7.0,<2.12.0

[dependabot]

Updates the requirements on torch to permit the latest version.

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)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

• Release Compatibility Matrix
  • PyTorch CUDA Support Matrix
• Release Cadence
• General Overview
  • Frequently Asked Questions
• Cutting a release branch preparations
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  • pytorch/pytorch
  • PyTorch ecosystem libraries
  • Making release branch specific changes for PyTorch
  • Making release branch specific changes for ecosystem libraries
• Running Launch Execution team Core XFN sync
• Drafting RCs (https://github.com/pytorch/pytorch/blob/main/Release Candidates) for PyTorch and domain libraries
  • Release Candidate Storage
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• Patch Releases
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• Hardware / Software Support in Binary Build Matrix
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    • Special support cases
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• Submitting Tutorials
• Special Topics
  • Updating submodules for a release
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Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

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torchvision upper bound not updated alongside torch

Medium Severity

The torch upper bound in the intel extra was widened from <2.9.0 to <2.12.0, but the torchvision constraint was left at <0.24.0. Torch and torchvision are version-locked (torch 2.9→torchvision 0.24, torch 2.10→0.25, torch 2.11→0.26), so torchvision<0.24.0 prevents installing any torch version newer than 2.8. The widened torch range is effectively dead, and the comment explicitly warns that "Intel extension is tightly coupled with the torch version."

 

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