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Updates the requirements on torch to permit the latest version.

Release notes

Sourced from torch's releases.

PyTorch 2.15.0 Release Notes

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

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

Python Frontend

import torch can no longer be re-executed in the same process, including via importlib.reload(torch) (#194654)

importlib.reload(torch) and del sys.modules["torch"] + re-import now raise, as does retrying import torch after it failed. Re-running the module body was already unsafe in exactly the same way as the retry, so the new check does not distinguish the two. Normal use is unaffected: a successful import leaves torch in sys.modules so the body never re-runs, and re-entrant imports from a backend extension during autoload still short-circuit on sys.modules without reaching the check.

Version 2.14:

import importlib
import torch
importlib.reload(torch)
RuntimeError: Only a single TORCH_LIBRARY can be used to register the namespace triton; ...
(re-importing after a failed import torch failed with similarly misleading errors or could segfault)

Version 2.15:

import importlib
import torch
importlib.reload(torch)
</tr></table>

... (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

• 31a77fc [release/2.15] Keep ruff targeting Python 3.10 until the 3.10 code is removed...
• d0f2af8 [release/2.15] Raise the minimum Python to 3.11 in the package metadata (#202...
• 30c000d [release/2.15] Revert "[inductor] Prefetch Inductor cache keys at torch.compi...
• 4893744 [release/2.15] [c10d][nccl2] Make endCoalescing cover all ops in the window (...
• 469a3f4 [release/2.15][Windows] Remove the zlibwapi.dll install (#201873) (#201880)
• e581e2d [release/2.15] [c10d][nccl2] Do not treat zero-sized output tensors as aliase...
• ef10301 [release/2.15] Update xpu commit to revert kernel refactor introduced correct...
• a3f1751 [inductor] Fix the prologue zero-mask analysis on low-precision rounding cast...
• e47ff36 Ship top_level.txt in wheel dist-info (#201435)
• 5dc0495 Skip vectorized gather and scatter_add kernel for short rows (#201426)
• Additional commits viewable in compare view

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