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Bump the pip group across 3 directories with 5 updates#4271

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Bump the pip group across 3 directories with 5 updates#4271
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Bumps the pip group with 2 updates in the /src/dependencies/requirements/base_requirements directory: setuptools and torch.
Bumps the pip group with 1 update in the /src/dependencies/requirements/generated_requirements directory: torch.
Bumps the pip group with 3 updates in the /src/maxtext/inference/mlperf directory: sentencepiece, transformers and nltk.

Updates setuptools from 78.1.0 to 78.1.1

Changelog

Sourced from setuptools's changelog.

v78.1.1

Bugfixes

  • More fully sanitized the filename in PackageIndex._download. (#4946)
Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

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

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates setuptools from 78.1.0 to 78.1.1

Changelog

Sourced from setuptools's changelog.

v78.1.1

Bugfixes

  • More fully sanitized the filename in PackageIndex._download. (#4946)
Commits

Updates torch from 2.11.0 to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

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

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0+cpu to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

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

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates torch from 2.11.0+cpu to 2.12.1

Release notes

Sourced from torch's releases.

PyTorch 2.12.1 Release, bug fix release

This release is meant to fix the following regressions and silent correctness issues:

Regression fixes

  • Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (#181248), fixed by updating Triton to 3.7.1 (#186814)
  • Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (#187081), fixed by updating Triton to 3.7.1 (#186814)
  • Fix fill_ on byte-dtype views with misaligned storage offset (#186821)

Releng / Build

  • Drop CPython 3.13t from the binary build matrix (#182951)

PyTorch 2.12.0 Release Notes

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

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

... (truncated)

Commits

Updates sentencepiece from 0.1.99 to 0.2.1

Release notes

Sourced from sentencepiece's releases.

v0.2.1

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64. #1114
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.

v0.2.1pre2

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64.
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.

v0.2.0

Major changes

N/A

New features

  • [ALL] Added SentencePieceNormalizer class in C++/Python. It supports almost the equivalent feature of spm_normalize. Python Sample C++ Sample
  • [ALL] Added SentencePieceProcessor::Normalize method in C++/Python Python Sample C++ Sample
  • [ALL] Added functionality to override the normalization spec before the processing. Python Sample

Bug fixes & minor changes

... (truncated)

Commits
  • 31646a4 Merge pull request #1136 from crusaderky/pytest-run-parallel
  • bcd44b9 free-threading tests
  • 135747f install twine before checking wheel
  • 69fe0b2 install setuptools before making sdist
  • ee1422b install setuptools before making sdist
  • 5ac2fd2 use windows-11-arm runner to test ARM64 wheel on native env.
  • 36b9745 use windows-11-arm runner to test ARM64 wheel on native env.
  • 4f043ae use auto-mode to make wheel with the native binary.
  • 623196e uses arm docker image to build and test wheel
  • 559fd65 re-enable QEMU to enable arm execution
  • Additional commits viewable in compare view

Updates transformers from 4.31.0 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

... (truncated)

Commits

Updates sentencepiece from 0.1.99 to 0.2.1

Release notes

Sourced from sentencepiece's releases.

v0.2.1

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64. #1114
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.

v0.2.1pre2

Major changes

New features

  • [ALL]: Added new build mode to prevent the precompiled normalization rules being embedded in *.so and *.a. (-DSPM_DISABLE_EMBEDDED_DATA=ON). This reduces the runtime size by approximately 1-2 MB. This mode is enabled to build python wheels. The rules are loaded as the data package.

Bug fixes & minor changes

  • [ALL]: Security fix to address a heap overflow issue that could occur when using a model containing an invalid precompiled normalization model.
  • [Python]: Deprecates the wheel package for Linux i686.
  • [Python]: Supported wheel for Windows Arm64.
  • [Python]: Fixed the crash issue on batch decoding #1051
  • [ALL]: Updated the Unicode normalization rule with the latest ICU/Unicode rules.
  • [ALL]: Unused code and build mode cleanup.

v0.2.0

Major changes

N/A

New features

  • [ALL] Added SentencePieceNormalizer class in C++/Python. It supports almost the equivalent feature of spm_normalize. Python Sample C++ Sample
  • [ALL] Added SentencePieceProcessor::Normalize method in C++/Python Python Sample C++ Sample
  • [ALL] Added functionality to override the normalization spec before the processing. Python Sample

Bug fixes & minor changes

... (truncated)

Commits
  • 31646a4 Merge pull request #1136 from crusaderky/pytest-run-parallel
  • bcd44b9 free-threading tests
  • 135747f install twine before checking wheel
  • 69fe0b2 install setuptools before making sdist
  • ee1422b install setuptools before making sdist
  • 5ac2fd2 use windows-11-arm runner to test ARM64 wheel on native env.
  • 36b9745 use windows-11-arm runner to test ARM64 wheel on native env.
  • 4f043ae use auto-mode to make wheel with the native binary.
  • 623196e uses arm docker image to build and test wheel
  • 559fd65 re-enable QEMU to enable arm execution
  • Additional commits viewable in compare view

Updates transformers from 4.31.0 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

@dependabot
Bump the pip group across 3 directories with 5 updates
6bd39bd 
Bumps the pip group with 2 updates in the /src/dependencies/requirements/base_requirements directory: [setuptools](https://github.com/pypa/setuptools) and [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /src/dependencies/requirements/generated_requirements directory: [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 3 updates in the /src/maxtext/inference/mlperf directory: [sentencepiece](https://github.com/google/sentencepiece), [transformers](https://github.com/huggingface/transformers) and [nltk](https://github.com/nltk/nltk).


Updates `setuptools` from 78.1.0 to 78.1.1
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](pypa/setuptools@v78.1.0...v78.1.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `setuptools` from 78.1.0 to 78.1.1
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](pypa/setuptools@v78.1.0...v78.1.1)

Updates `torch` from 2.11.0 to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0+cpu to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `torch` from 2.11.0+cpu to 2.12.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.11.0...v2.12.1)

Updates `sentencepiece` from 0.1.99 to 0.2.1
- [Release notes](https://github.com/google/sentencepiece/releases)
- [Commits](google/sentencepiece@v0.1.99...v0.2.1)

Updates `transformers` from 4.31.0 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.31.0...v5.0.0rc3)

Updates `sentencepiece` from 0.1.99 to 0.2.1
- [Release notes](https://github.com/google/sentencepiece/releases)
- [Commits](google/sentencepiece@v0.1.99...v0.2.1)

Updates `transformers` from 4.31.0 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.31.0...v5.0.0rc3)

Updates `transformers` from 4.31.0 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.31.0...v5.0.0rc3)

Updates `nltk` from 3.8.1 to 3.9.4
- [Release notes](https://github.com/nltk/nltk/releases)
- [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog)
- [Commits](nltk/nltk@3.8.1...3.9.4)

Updates `sentencepiece` from 0.1.99 to 0.2.1
- [Release notes](https://github.com/google/sentencepiece/releases)
- [Commits](google/sentencepiece@v0.1.99...v0.2.1)

---
updated-dependencies:
- dependency-name: setuptools
  dependency-version: 78.1.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: setuptools
  dependency-version: 78.1.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: nltk
  dependency-version: 3.9.4
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jun 25, 2026
@dependabot dependabot Bot added the dependencies Pull requests that update a dependency file label Jun 25, 2026
@dependabot dependabot Bot added the python Pull requests that update python code label Jun 25, 2026
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