build(deps): update torch requirement from <2.1.0,>=1.8.1 to >=1.8.1,<2.5.0

[dependabot[bot]]

Updates the requirements on torch to permit the latest version.

Release notes

Sourced from torch's releases.

PyTorch 2.4: Python 3.12, AOTInductor freezing, libuv backend for TCPStore

PyTorch 2.4 Release Notes

• Highlights
• Tracked Regressions
• Backward incompatible changes
• Deprecations
• New features
• Improvements
• Bug Fixes
• Performance
• Documentation
• Developers
• Security

Highlights

We are excited to announce the release of PyTorch® 2.4! PyTorch 2.4 adds support for the latest version of Python (3.12) for torch.compile. AOTInductor freezing gives developers running AOTInductor more performance based optimizations by allowing the serialization of MKLDNN weights. As well, a new default TCPStore server backend utilizing libuv has been introduced which should significantly reduce initialization times for users running large-scale jobs. Finally, a new Python Custom Operator API makes it easier than before to integrate custom kernels into PyTorch, especially for torch.compile.

This release is composed of 3661 commits and 475 contributors since PyTorch 2.3. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.4.

Tracked Regressions

Subproc exception with torch.compile and onnxruntime-training

There is a reported issue when using torch.compile if onnxruntime-training lib is installed. The issue will be fixed in v2.4.1. It can be solved locally by setting the environment variable TORCHINDUCTOR_WORKER_START=fork before executing the script.

cu118 wheels will not work with pre-cuda12 drivers

It was also reported that the new version of triton uses cuda features that are not compatible with pre-cuda12 drivers. In this case, the workaround is to set TRITON_PTXAS_PATH manually as follows (adapt the code according to the local installation path):

TRITON_PTXAS_PATH=/usr/local/lib/python3.10/site-packages/torch/bin/ptxas  python script.py

Backwards Incompatible Change

Python frontend

Default TreadPool size to number of physical cores (#125963)

Changed the default number of threads used for intra-op parallelism from the number of logical cores to the number of

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Changelog

Sourced from torch's changelog.

Releasing PyTorch

• Release Compatibility Matrix
• Release Cadence
• General Overview
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• Cutting a release branch preparations
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  • pytorch/pytorch
  • pytorch/builder / PyTorch domain libraries
  • Making release branch specific changes for PyTorch
  • Making release branch specific changes for domain 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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  • Cherry Picking Fixes
    • How to do Cherry Picking
  • Cherry Picking Reverts
• Preparing and Creating Final Release candidate
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  • Open Google Colab issue
• Patch Releases
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  • Patch Release Process
    • Patch Release Process Description
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    • 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:

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Commits

• d990dad [CMAKE] Look for Development.Module instead of Development (#129729)
• e4ee3be [Release only] use triton 3.0.x from pypi (#130336)
• 9afe4ec Update torchbench model expected accuracy values after pinning numpy (#129986)
• 499621e [CherryPick][FSDP2+TP] Disable 2D state_dict (#129519) (#129923)
• e5bda62 [CherryPick][DCP] Fix Optimizer Learning Rate not being loaded correctly (#12...
• 705e3ae Improve error message for weights_only load (#129783)
• b26cde4 [Windows] remove mkl shared library dependency. (#129740)
• 12ad767 [distributed] NCCL result code update (#129704)
• 1164d3c Add threadfence to 2-stage reduction for correct writes visibility (#129701)
• 9533637 Inductor to fail gracefully on Voltas for bf16 tensors (#129699)
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