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Bump torch from 2.1.2 to 2.4.1 #41

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@dependabot dependabot bot commented on behalf of github Sep 9, 2024

Bumps torch from 2.1.2 to 2.4.1.

Release notes

Sourced from torch's releases.

PyTorch 2.4.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Breaking Changes:

  • The pytorch/pytorch docker image now installs the PyTorch package through pip and has switch its conda installation from miniconda to miniforge (#134274)

Windows:

  • Fix performance regression on Windows related to MKL static linking (#130619) (#130697)
  • Fix error during loading on Windows: [WinError 126] The specified module could not be found. (#131662) (#130697)

MPS:

  • Fix tensor.clamp produces wrong values (#130226)
  • Fix Incorrect result from batch norm with sliced inputs (#133610)

ROCM:

  • Fix for launching kernel invalid config error when calling embedding with large index (#130994)
  • Added a check and a warning when attempting to use hipBLASLt on an unsupported architecture (#128753)
  • Fix image corruption with Memory Efficient Attention when running HuggingFace Diffusers Stable Diffusion 3 pipeline (#133331)

Distributed:

  • Fix FutureWarning when using torch.load internally (#130663)
  • Fix FutureWarning when using torch.cuda.amp.autocast internally (#130660)

Torch.compile:

  • Fix exception with torch compile when onnxruntime-training and deepspeed packages are installed. (#131194)
  • Fix silent incorrectness with torch.library.custom_op with mutable inputs and torch.compile (#133452)
  • Fix SIMD detection on Linux ARM (#129075)
  • Do not use C++20 features in cpu_inducotr code (#130816)

Packaging:

  • Fix for exposing statically linked libstdc++ CXX11 ABI symbols (#134494)
  • Fix error while building pytorch from source due to not missing QNNPACK module (#131864)
  • Make PyTorch buildable from source on PowerPC (#129736)
  • Fix XPU extension building (#132847)

Other:

  • Fix warning when using pickle on a nn.Module that contains tensor attributes (#130246)
  • Fix NaNs return in MultiheadAttention when need_weights=False (#130014)
  • Fix nested tensor MHA produces incorrect results (#130196)
  • Fix error when using torch.utils.flop_counter.FlopCounterMode (#134467)

Tracked Regressions:

  • The experimental remote caching feature for Inductor's autotuner (enabled via TORCHINDUCTOR_AUTOTUNE_REMOTE_CACHE) is known to still be broken in this release and actively worked on in main. Following Error is generated: redis.exceptions.DataError: Invalid input of type: 'dict'. Please use nightlies if you need this feature (reported and Fixed by PR: #134032)

Release tracker #132400 contains all relevant pull requests related to this release as well as links to related issues.

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

PyTorch 2.4 Release Notes

... (truncated)

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Bumps [torch](https://github.com/pytorch/pytorch) from 2.1.2 to 2.4.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.1.2...v2.4.1)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Sep 9, 2024
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