search

leafspark / AutoGGUF

automatically quant GGUF models
Apache License 2.0
140 stars 12 forks source link

build(deps): update torch requirement from ~=2.4.0 to ~=2.4.1 #19

Closed dependabot[bot] closed 2 months ago

dependabot[bot] commented 2 months ago

Updates the requirements on torch to permit the latest version.

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.

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits


Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)