fix(deps): update torch requirement from >=2.0.0 to >=2.12.0 in /nlp-orchestrator

[dependabot]

Updates the requirements on torch to permit the latest version.

Release notes

Sourced from torch's releases.

PyTorch 2.12.0 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

Build Frontend

• Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

  Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

• Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

  Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

  Version 2.11:

  CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

  Version 2.12:

  CUDA_HOME=/usr/local/cuda-12.6 python setup.py develop

• Enforced a C++20 minimum in CMake build files (#178662)

... (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

• 0d62256 [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (#183346)
• 7661cd9 [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (#181886)
• 9da6087 Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes #182250) (#182369)
• e4c37cc Avoid raw stream name collisions in Inductor (#182178)
• 822d047 [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (#182285) (#182311)
• 5c5e523 Add enable_gqa parameter to SDPA MPS meta registration (#181550)
• eece52e [AOTI] Add BC-safe c_shim v2 for _scaled_dot_product_attention_math_for_mps e...
• b39330b [Inductor] Call latest c_shim version for versioned fallback ops (#181548)
• 06f10d0 Revert "[FSDP2] add fqn to communication ops" (#182100) (#182157)
• 449e339 Revert "[Inductor] Improve materialization heuristic for a chain of computaio...
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Project	Deployment	Actions	Updated (UTC)
nyaysetu	Error		Jun 15, 2026 10:59am

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Review Summary

This PR has been reviewed and requires changes before it can be approved. The issues below must be resolved.

Issues to Resolve

Result	Check	Notes
FAIL	Description	Description is missing: a Checklist section with checkboxes.
FAIL	Checklist	No checklist found in the description.
FAIL	Issue Link	An issue number is referenced but without a closing keyword. Use 'Closes #NNN', 'Fixes #NNN', or 'Resolves #NNN' so the issue closes automatically on merge.
FAIL	UI Screenshot	This PR modifies UI files but no screenshot or video is attached. Add before/after screenshots or a screen recording showing the change.

Passing Checks

Result	Check	Notes
PASS	Title	Title format is acceptable.
PASS	Merge Conflicts	No merge conflicts.
PASS	Branch Freshness	Branch was last updated 0.3 days ago.
PASS	CI / Tests	No CI checks are configured or results are not yet available.
PASS	Code Quality	No code quality issues detected in the diff.

---

To proceed: push the required fixes to dependabot/pip/nlp-orchestrator/torch-gte-2.12.0 and the PR will be re-evaluated on the next review run.