Update torch requirement from ~=2.8.0 to ~=2.10.0

[dependabot]

Updates the requirements on torch to permit the latest version.

Release notes

Sourced from torch's releases.

PyTorch 2.10.0 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

Dataloader Frontend

• Removed unused data_source argument from Sampler (#163134). This is a no-op, unless you have a custom sampler that uses this argument. Please update your custom sampler accordingly.
• Removed deprecated imports for torch.utils.data.datapipes.iter.grouping (#163438). from torch.utils.data.datapipes.iter.grouping import SHARDING_PRIORITIES, ShardingFilterIterDataPipe is no longer supported. Please import from torch.utils.data.datapipes.iter.sharding instead.

torch.nn

• Remove Nested Jagged Tensor support from nn.attention.flex_attention (#161734)

... (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
• Cutting release branches
  • 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
  • Release Candidate health validation
  • Cherry Picking Fixes
    • How to do Cherry Picking
  • Cherry Picking Reverts
• Preparing and Creating Final Release Candidate
• Promoting RCs to Stable
• Additional Steps to prepare for release day
  • Modify release matrix
  • Open Google Colab issue
• Patch Releases
  • Patch Release Criteria
  • Patch Release Process
    • Patch Release Process Description
    • Triage
    • Issue Tracker for Patch releases
    • Building a release schedule / cherry picking
    • Building Binaries / Promotion to Stable
• Hardware / Software Support in Binary Build Matrix
  • Python
  • Accelerator Software
    • Special support cases
  • Operating Systems
• Submitting Tutorials
• Special Topics
  • Updating submodules for a release
  • Triton dependency for the release

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

• 449b176 Add Joe Spisak to Core maintainers list (#172585)
• f6e6c0a [Graph Partition] Improve support for mutation ops (#172577)
• 99cb424 Revert "[CI] Add IoU-based accuracy checking for inductor tests segmentation ...
• 1f74c10 [CI] Add IoU-based accuracy checking for inductor tests segmentation models (...
• e43b5bf Bump fbgemm and torchrec pinned commit (#172179)
• 2c9af43 Skip modded_nanogpt model in TorchInductor benchmark (#172141)
• 0e2459f A few weights_only unpickler fixes (#172105)
• a266b60 Touch __init__.py in vendored_templates for CuTeDSL Grouped MM template (...
• f3b5d8b [MPS] Remove error-checking sync point from MaxUnpool (#172111)
• 3a5fb54 Fix MPS mul performance regression (#172106)
• Additional commits viewable in compare view

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[dependabot]

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[dependabot]

Superseded by #89.