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Bump the pip group across 9 directories with 2 updates#2488

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Bump the pip group across 9 directories with 2 updates#2488
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⚠️ Dependabot is rebasing this PR ⚠️

Rebasing might not happen immediately, so don't worry if this takes some time.

Note: if you make any changes to this PR yourself, they will take precedence over the rebase.


Bumps the pip group with 2 updates in the /examples/pytorch/diffusion_model/diffusers/flux directory: transformers and torch.
Bumps the pip group with 1 update in the /examples/pytorch/diffusion_model/diffusers/framepack directory: transformers.
Bumps the pip group with 2 updates in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/deepseek directory: transformers and torch.
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/llama3 directory: transformers.
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/qwen directory: transformers.
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/llm_qat directory: transformers.
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/smooth_quant directory: torch.
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/transformers/weight_only/text-generation directory: torch.
Bumps the pip group with 1 update in the /examples/tensorflow/nlp/large_language_models/quantization/ptq/smoothquant directory: transformers.

Updates transformers from 4.57.3 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 torch from 2.10.0 to 2.12.0

Release notes

Sourced from torch's releases.

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

    Version 2.12:

    CUDA_HOME=/usr/local/cuda-12.6 python setup.py develop
  • Enforced a C++20 minimum in CMake build files (#178662)

... (truncated)

Commits
  • 0d62256 [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (#183346)
  • 7661cd9 [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (#181886)
  • 9da6087 Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes #182250) (#182369)
  • e4c37cc Avoid raw stream name collisions in Inductor (#182178)
  • 822d047 [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (#182285) (#182311)
  • 5c5e523 Add enable_gqa parameter to SDPA MPS meta registration (#181550)
  • eece52e [AOTI] Add BC-safe c_shim v2 for _scaled_dot_product_attention_math_for_mps e...
  • b39330b [Inductor] Call latest c_shim version for versioned fallback ops (#181548)
  • 06f10d0 Revert "[FSDP2] add fqn to communication ops" (#182100) (#182157)
  • 449e339 Revert "[Inductor] Improve materialization heuristic for a chain of computaio...
  • Additional commits viewable in compare view

Updates transformers from 4.57.1 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 transformers from 4.57.3 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 torch from 2.9.0 to 2.12.0

Release notes

Sourced from torch's releases.

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

    Version 2.12:

    CUDA_HOME=/usr/local/cuda-12.6 python setup.py develop
  • Enforced a C++20 minimum in CMake build files (#178662)

... (truncated)

Commits
  • 0d62256 [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (#183346)
  • 7661cd9 [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (#181886)
  • 9da6087 Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes #182250) (#182369)
  • e4c37cc Avoid raw stream name collisions in Inductor (#182178)
  • 822d047 [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (#182285) (#182311)
  • 5c5e523 Add enable_gqa parameter to SDPA MPS meta registration (#181550)
  • eece52e [AOTI] Add BC-safe c_shim v2 for _scaled_dot_product_attention_math_for_mps e...
  • b39330b [Inductor] Call latest c_shim version for versioned fallback ops (#181548)
  • 06f10d0 Revert "[FSDP2] add fqn to communication ops" (#182100) (#182157)
  • 449e339 Revert "[Inductor] Improve materialization heuristic for a chain of computaio...
  • Additional commits viewable in compare view

Updates transformers from 4.57.3 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 transformers from 4.57.3 to 5.0.0rc3

Release notes

Sourced from

Bumps the pip group with 2 updates in the /examples/pytorch/diffusion_model/diffusers/flux directory: [transformers](https://github.com/huggingface/transformers) and [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /examples/pytorch/diffusion_model/diffusers/framepack directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 2 updates in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/deepseek directory: [transformers](https://github.com/huggingface/transformers) and [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/llama3 directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/qwen directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/llm_qat directory: [transformers](https://github.com/huggingface/transformers).
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/smooth_quant directory: [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /examples/pytorch/nlp/huggingface_models/language-modeling/quantization/transformers/weight_only/text-generation directory: [torch](https://github.com/pytorch/pytorch).
Bumps the pip group with 1 update in the /examples/tensorflow/nlp/large_language_models/quantization/ptq/smoothquant directory: [transformers](https://github.com/huggingface/transformers).


Updates `transformers` from 4.57.3 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `torch` from 2.10.0 to 2.12.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.10.0...v2.12.0)

Updates `transformers` from 4.57.1 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `transformers` from 4.57.3 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `torch` from 2.9.0 to 2.12.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.10.0...v2.12.0)

Updates `transformers` from 4.57.3 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `transformers` from 4.57.3 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `transformers` from 4.53.0 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `torch` from 2.8.0 to 2.12.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.10.0...v2.12.0)

Updates `torch` from 2.8.0+cpu to 2.12.0+cpu
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.10.0...v2.12.0)

Updates `transformers` from 4.53.0 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.0
  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: torch
  dependency-version: 2.12.0
  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: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.0+cpu
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jun 10, 2026
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