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chore(deps): bump the py-dependencies group across 3 directories with 6 updates #20

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Updates the requirements on torch, torchvision, matplotlib, pandas, scikit-learn and numpy to permit the latest version.
Updates torch 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.

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

Updates torchvision to 0.19.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.19.1 Release

This is a patch release, which is compatible with PyTorch 2.4.1. There are no new features added.

Commits

Updates matplotlib to 3.9.2

Release notes

Sourced from matplotlib's releases.

REL: 3.9.2

This is the second bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

  • Be more resilient to I/O failures when writing font cache
  • Fix nondeterministic behavior with subplot spacing and constrained layout
  • Fix sticky edge tolerance relative to data range
  • Improve formatting of image values in cases of singular norms

Windows wheels now bundle the MSVC runtime DLL statically to avoid inconsistencies with other wheels and random crashes depending on import order.

Commits
  • a254b68 REL: 3.9.2
  • 056f307 DOC: Create release notes for 3.9.2
  • 8d867ce Merge branch 'v3.9.1-doc' into v3.9.x
  • 7be8675 Merge pull request #28687 from QuLogic/static-msvc
  • 3ed3d7b Merge pull request #28695 from meeseeksmachine/auto-backport-of-pr-27797-on-v...
  • 8a62afa BLD: Include MSVCP140 runtime statically
  • 81be26f Merge pull request #28688 from QuLogic/auto-backport-of-pr-28668-on-v3.9.x
  • d88a582 Backport PR #27797: DOC: Use video files for saving animations
  • e3159ba Merge pull request #28692 from meeseeksmachine/auto-backport-of-pr-28632-on-v...
  • 465401e Backport PR #28632: DOC: Tell sphinx-gallery to link mpl_toolkits from our build
  • Additional commits viewable in compare view

Updates pandas to 2.2.3

Release notes

Sourced from pandas's releases.

Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

Updates scikit-learn to 1.5.2

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.2

We're happy to announce the 1.5.2 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

Commits
  • 156ef14 [cd build] trigger ci/cd
  • 40c7416 DOC update the list of contributors for 1.5.2 (#29819)
  • c119c7e DOC add orphan option to developers/index.rst
  • 4d838dc TST fix tolerance as in #29400
  • 2e79f52 DOC fix entry in changelog for backport happening in 1.5.2 (#29815)
  • c735641 MAINT install setuptools for debian-32bits
  • c993dd2 DOC update repr for NumPy 2.0
  • 8ade4f5 MAINT bump from 1.5.1 to 1.5.2
  • 04b71d2 FIX solve conflict git
  • b5b5017 MAINT update lock file
  • Additional commits viewable in compare view

Updates torch from 2.3.1 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.

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

Updates matplotlib from 3.9.1 to 3.9.2

Release notes

Sourced from matplotlib's releases.

REL: 3.9.2

This is the second bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

  • Be more resilient to I/O failures when writing font cache
  • Fix nondeterministic behavior with subplot spacing and constrained layout
  • Fix sticky edge tolerance relative to data range
  • Improve formatting of image values in cases of singular norms

Windows wheels now bundle the MSVC runtime DLL statically to avoid inconsistencies with other wheels and random crashes depending on import order.

Commits
  • a254b68 REL: 3.9.2
  • 056f307 DOC: Create release notes for 3.9.2
  • 8d867ce Merge branch 'v3.9.1-doc' into v3.9.x
  • 7be8675 Merge pull request #28687 from QuLogic/static-msvc
  • 3ed3d7b Merge pull request #28695 from meeseeksmachine/auto-backport-of-pr-27797-on-v...
  • 8a62afa BLD: Include MSVCP140 runtime statically
  • 81be26f Merge pull request #28688 from QuLogic/auto-backport-of-pr-28668-on-v3.9.x
  • d88a582 Backport PR #27797: DOC: Use video files for saving animations
  • e3159ba Merge pull request #28692 from meeseeksmachine/auto-backport-of-pr-28632-on-v...
  • 465401e Backport PR #28632: DOC: Tell sphinx-gallery to link mpl_toolkits from our build
  • Additional commits viewable in compare view

Updates pandas from 2.2.2 to 2.2.3

Release notes

Sourced from pandas's releases.

Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

The release will be available on the defaults and conda-forge channels:

conda install pandas

Or via PyPI:

python3 -m pip install --upgrade pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits

Updates scikit-learn from 1.5.1 to 1.5.2

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.2

We're happy to announce the 1.5.2 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-2

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Thanks to everyone who contributed to this release !

Commits
  • 156ef14 [cd build] trigger ci/cd
  • 40c7416 DOC update the list of contributors for 1.5.2 (#29819)
  • c119c7e DOC add orphan option to developers/index.rst
  • 4d838dc TST fix tolerance as in #29400
  • 2e79f52 DOC fix entry in changelog for backport happening in 1.5.2 (#29815)
  • c735641 MAINT install setuptools for debian-32bits
  • c993dd2 DOC update repr for NumPy 2.0
  • 8ade4f5 MAINT bump from 1.5.1 to 1.5.2
  • 04b71d2 FIX solve conflict git
  • b5b5017 MAINT update lock file
  • Additional commits viewable in compare view

Updates numpy from 2.0.0 to 2.1.1

Release notes

Sourced from numpy's releases.

2.1.1 (Sep 3, 2024)

NumPy 2.1.1 Release Notes

NumPy 2.1.1 is a maintenance release that fixes bugs and regressions discovered after the 2.1.0 release.

The Python versions supported by this release are 3.10-3.13.

Contributors

A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Andrew Nelson
  • Charles Harris
  • Mateusz Sokół
  • Maximilian Weigand +
  • Nathan Goldbaum
  • Pieter Eendebak
  • Sebastian Berg

Pull requests merged

A total of 10 pull requests were merged for this release.

  • #27236: REL: Prepare for the NumPy 2.1.0 release [wheel build]
  • #27252: MAINT: prepare 2.1.x for further development
  • #27259: BUG: revert unintended change in the return value of set_printoptions
  • #27266: BUG: fix reference counting bug in __array_interface__ implementation...
  • #27267: TST: Add regression test for missing descr in array-interface
  • #27276: BUG: Fix #27256 and #27257
  • #27278: BUG: Fix array_equal for numeric and non-numeric scalar types
  • #27287: MAINT: Update maintenance/2.1.x after the 2.0.2 release
  • #27303: BLD: cp311- macosx_arm64 wheels [wheel build]
  • #27304: BUG: f2py: better handle filtering of public/private subroutines

Checksums

MD5

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84b752a2220dce7c96ff89eef4f4aec3  numpy-2.1.1-cp310-cp310-macosx_11_0_arm64.whl
47ed4f704a64261f07ca24ef2e674524  numpy-2.1.1-cp310-cp310-macosx_14_0_arm64.whl
b8a45caa870aee980c298053cf064d28  numpy-2.1.1-cp310-cp310-macosx_14_0_x86_64.whl
e097ad5eee572b791b4a25eedad6df4a  numpy-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
ae502c99315884cda7f0236a07c035c4  numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
841a859d975c55090c0b60b72aab93a3  numpy-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl
d51be2b17f5b87aac64ab80fdfafc85e  numpy-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl
1f8249bd725397c6233fe6a0e8ad18b1  numpy-2.1.1-cp310-cp310-win32.whl
d38d6f06589c1ec104a6a31ff6035781  numpy-2.1.1-cp310-cp310-win_amd64.whl

... (truncated)

Commits
  • 48606ab Merge pull request #27328 from charris/prepare-2.1.1
  • a7cb4c4 REL: Prepare for the NumPy 2.1.1 release [wheel build]
  • 884c92b Merge pull request #27303 from charris/backport-27284
  • ca7f5c1 Merge pull request #27304 from charris/backport-27049
  • 2a49507 BUG: f2py: better handle filtering of public/private subroutines
  • d4306dd TST: Add regression test for gh-26920
  • db9668d BLD: cp311- macosx_arm64 wheels [wheel build]
  • c6ff254 Merge pull request #27287 from charris/post-2.0.2-release-update
  • 326bc17 MAINT: Update main after the 2.0.2 release
  • 8164b7c Merge pull request #27278 from charris/backport-27275
  • Additional commits viewable in compare view

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@dependabot
chore(deps): bump the py-dependencies group across 3 directories with…
3ae188f 
… 6 updates

Updates the requirements on [torch](https://github.com/pytorch/pytorch), [torchvision](https://github.com/pytorch/vision), [matplotlib](https://github.com/matplotlib/matplotlib), [pandas](https://github.com/pandas-dev/pandas), [scikit-learn](https://github.com/scikit-learn/scikit-learn) and [numpy](https://github.com/numpy/numpy) to permit the latest version.

Updates `torch` 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@v2.3.1...v2.4.1)

Updates `torchvision` to 0.19.1
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@v0.18.1...v0.19.1)

Updates `matplotlib` to 3.9.2
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.9.1...v3.9.2)

Updates `pandas` to 2.2.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.2.2...v2.2.3)

Updates `scikit-learn` to 1.5.2
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.5.1...1.5.2)

Updates `torch` from 2.3.1 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@v2.3.1...v2.4.1)

Updates `matplotlib` from 3.9.1 to 3.9.2
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.9.1...v3.9.2)

Updates `pandas` from 2.2.2 to 2.2.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.2.2...v2.2.3)

Updates `scikit-learn` from 1.5.1 to 1.5.2
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.5.1...1.5.2)

Updates `numpy` from 2.0.0 to 2.1.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.0.0...v2.1.1)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: py-dependencies
- dependency-name: torchvision
  dependency-type: direct:production
  dependency-group: py-dependencies
- dependency-name: matplotlib
  dependency-type: direct:production
  dependency-group: py-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  dependency-group: py-dependencies
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: py-dependencies
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: py-dependencies
- dependency-name: matplotlib
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: py-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: py-dependencies
- dependency-name: scikit-learn
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: py-dependencies
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: py-dependencies
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 23, 2024
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dependabot bot commented on behalf of github Nov 1, 2024

Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot bot closed this Nov 1, 2024
@dependabot dependabot bot deleted the dependabot/pip/covid19/py-dependencies-c50e8e51dd branch November 1, 2024 10:30
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