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@dependabot dependabot bot commented on behalf of github Dec 12, 2025

Updates the requirements on torch, torchvision, torchcodec, transformers, datasets, huggingface-hub, torchaudio, jiwer, av, notebook-intelligence and lightning to permit the latest version.
Updates torch to 2.9.1

Release notes

Sourced from torch's releases.

PyTorch 2.9.1 Release, bug fix release

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

Tracked Regressions

Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 (#166643) This release provides work around this issue. If you are impacted please install nvidia-cudnn package version 9.15+ from pypi. (#166480) (#167111)

Torch.compile

Fix Inductor bug when compiling Gemma (#165601) Fix InternalTorchDynamoError in bytecode_transformation (#166036) Fix silent correctness error_on_graph_break bug where non-empty checkpoint results in unwanted graph break resumption (#166586) Improve performance by avoiding recompilation with mark_static_address with cudagraphs (#162208) Improve performance by caching get_free_symbol_uses in torch inductor (#166338) Fix fix registration design for inductor graph partition for vLLM (#166458) (#165815) (#165514) Fix warning spamming in torch.compile (#166993) Fix exception related to uninitialized tracer_output variable (#163169) Fix crash in torch.bmm and torch.compile with PyTorch release 2.9.0 (#166457)

Other

Fix warning spamming on new APIs to control TF32 behavior (#166956) Fix distributed crash with non-contiguous gather inputs (#166181) Fix indexing on large tensor causes invalid configuration argument (#166974) Fix numeric issue in CUDNN_ATTENTION (#166912) (#166570) Fix symmetric memory issue with fused_scaled_matmul_reduce_scatter (#165086) Improve libtorch stable ABI documentation (#163899) Fix image display on pypi project description section (#166404)

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 0.24.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.24.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

Commits

Updates torchcodec to 0.9.1

Release notes

Sourced from torchcodec's releases.

TorchCodec 0.9.1

TorchCodec 0.9.1 is out! This version is compatible with torch 2.9.

This is primarily a bug-fix release which should resolve issues on Windows where FFmpeg couldn't be found.

Commits

Updates transformers to 4.57.3

Release notes

Sourced from transformers's releases.

Patch release v4.57.3

There was a hidden bug when loading models with local_files_only=True and a typo related to the recent patch.

The main fix is: huggingface/transformers@b605555.

We are really sorry that this slipped through, our CIs just did not catch it.

As it affects a lot of users we are gonna yank the previous release

Commits

Updates datasets to 4.4.1

Release notes

Sourced from datasets's releases.

4.4.1

Bug fixes and improvements

Full Changelog: huggingface/datasets@4.4.0...4.4.1

Commits

Updates huggingface-hub to 1.2.3

Release notes

Sourced from huggingface-hub's releases.

[v1.2.3] Fix private default value in CLI

Patch release for #3618 by @​Wauplin.

When creating a new repo, we should default to private=None instead of private=False. This is already the case when using the API but not when using the CLI. This is a bug likely introduced when switching to Typer. When defaulting to None, the repo visibility will default to False except if the organization has configured repos to be "private by default" (the check happens server-side, so it shouldn't be hardcoded client-side).

Full Changelog: huggingface/huggingface_hub@v1.2.2...v1.2.3

Commits

Updates torchaudio to 2.9.1

Release notes

Sourced from torchaudio's releases.

TorchAudio 2.9.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

Commits

Updates jiwer to 4.0.0

Updates av to 16.0.1

Changelog

Sourced from av's changelog.

v16.0.1

Fixes:

  • Add new hwaccel enums by :gh-user:WyattBlue in (:pr:2030).

v16.0.0

Major:

  • Drop Python 3.9, Support Python 3.14.
  • Drop support for i686 Linux.

Features:

  • Add Filter.Context.process_command() method by :gh-user:caffeinism in (:pr:2000).
  • Add packet side-data handling mechanism by :gh-user:tikuma-lsuhsc in (:pr:2003).
  • Implemented set_chapters method by :gh-user:DE-AI in (:pr:2004).
  • Declare free-threaded support and support 3.13t by :gh-user:ngoldbaum in (:pr:2005).
  • Add writable and copyable attachment and data streams by :gh-user:skeskinen in (:pr:2026).

Fixes:

  • Declare free-threaded support and support 3.13t by :gh-user:ngoldbaum in (:pr:2005).
  • Allow None in FilterContext.push() type stub by :gh-user:velsinki in (:pr:2015).
  • Fix typos

v15.1.0

Features:

  • Support FFmpeg 8
  • Make the Frame.key_frame flag writable.

v15.0.0

Major:

  • Make SubtitleStream.decode() return the list of subtitles directly, making the API nicer.
  • Drop support for MacOS 12 or under.
  • Binary wheels: Remove libxml2 because of security concerns.
  • Binary wheels: Remove xz because lzma encoding is very niche in media decoding and lesser security concerns.

Features:

  • Add GBRP, GBRAP, RGBA formats by :gh-user:z-khan.

... (truncated)

Commits

Updates notebook-intelligence to 3.0.0

Release notes

Sourced from notebook-intelligence's releases.

v3.0.0

  • New built-in tools
  • Improved tool selection UX
  • Show MCP Server prompts in settings panel
  • Update GitHub Copilot model list
  • Other fixes and enhancements
Commits

Updates lightning to 2.6.0

Release notes

Sourced from lightning's releases.

Lightning v2.6.0

Changes in 2.6.0

PyTorch Lightning

  • Added WeightAveraging callback that wraps the PyTorch AveragedModel class (#20545)
  • Added Torch-Tensorrt integration with LightningModule (#20808)
  • Added time-based validation support though val_check_interval (#21071)
  • Added attributes to access stopping reason in EarlyStopping callback (#21188)
  • Added support for variable batch size in ThroughputMonitor (#20236)
  • Added EMAWeightAveraging callback that wraps Lightning's WeightAveraging class (#21260)
  • Expose weights_only argument for Trainer.{fit,validate,test,predict} and let torch handle default value (#21072)
  • Default to RichProgressBar and RichModelSummary if the rich package is available. Fallback to TQDMProgressBar and ModelSummary otherwise (#20896)
  • Add MPS accelerator support for mixed precision (#21209)
  • Fixed edgecase when max_trials is reached in Tuner.scale_batch_size (#21187)
  • Fixed case where LightningCLI could not be initialized with trainer_default containing callbacks (#21192)
  • Fixed missing reset when ModelPruning is applied with lottery ticket hypothesis (#21191)
  • Fixed preventing recursive symlink creation iwhen save_last='link' and save_top_k=-1 (#21186)
  • Fixed last.ckpt being created and not linked to another checkpoint (#21244)
  • Fixed bug that prevented BackboneFinetuning from being used together with LearningRateFinder (#21224)
  • Fixed ModelPruning sparsity logging bug that caused incorrect sparsity percentages (#21223)
  • Fixed LightningCLI loading of hyperparameters from ckpt_path failing for subclass model mode (#21246)
  • Fixed check the init args only when the given frames are in __init__ method (#21227)
  • Fixed how ThroughputMonitor calculated training time (#21291)
  • Fixed synchronization of gradients in manual optimization with DDPStrategy(static_graph=True) (#21251)
  • Fixed FSDP mixed precision semantics and added user warning (#21361)

Lightning Fabric

  • Expose weights_only argument for Trainer.{fit,validate,test,predict} and let torch handle default value (#21072)
  • Set _DeviceDtypeModuleMixin._device from torch's default device function (#21164)
  • Added kwargs-filtering for Fabric.call to support different callback method signatures (#21258)

... (truncated)

Commits

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…ates

Updates the requirements on [torch](https://github.com/pytorch/pytorch), [torchvision](https://github.com/pytorch/vision), [torchcodec](https://github.com/pytorch/torchcodec), [transformers](https://github.com/huggingface/transformers), [datasets](https://github.com/huggingface/datasets), [huggingface-hub](https://github.com/huggingface/huggingface_hub), [torchaudio](https://github.com/pytorch/audio), jiwer, [av](https://github.com/PyAV-Org/PyAV), [notebook-intelligence](https://github.com/notebook-intelligence/notebook-intelligence) and [lightning](https://github.com/Lightning-AI/lightning) to permit the latest version.

Updates `torch` to 2.9.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.8.0...v2.9.1)

Updates `torchvision` to 0.24.1
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](pytorch/vision@0.23.0...v0.24.1)

Updates `torchcodec` to 0.9.1
- [Release notes](https://github.com/pytorch/torchcodec/releases)
- [Commits](meta-pytorch/torchcodec@v0.7.0...v0.9.1)

Updates `transformers` to 4.57.3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.53.3...v4.57.3)

Updates `datasets` to 4.4.1
- [Release notes](https://github.com/huggingface/datasets/releases)
- [Commits](huggingface/datasets@3.6.0...4.4.1)

Updates `huggingface-hub` to 1.2.3
- [Release notes](https://github.com/huggingface/huggingface_hub/releases)
- [Commits](huggingface/huggingface_hub@v0.34.0...v1.2.3)

Updates `torchaudio` to 2.9.1
- [Release notes](https://github.com/pytorch/audio/releases)
- [Commits](pytorch/audio@v2.8.0...v2.9.1)

Updates `jiwer` to 4.0.0

Updates `av` to 16.0.1
- [Changelog](https://github.com/PyAV-Org/PyAV/blob/main/CHANGELOG.rst)
- [Commits](PyAV-Org/PyAV@v15.0.0...v16.0.1)

Updates `notebook-intelligence` to 3.0.0
- [Release notes](https://github.com/notebook-intelligence/notebook-intelligence/releases)
- [Changelog](https://github.com/notebook-intelligence/notebook-intelligence/blob/main/RELEASE.md)
- [Commits](notebook-intelligence/notebook-intelligence@v2.3.2...v3.0.0)

Updates `lightning` to 2.6.0
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@2.4.0...2.6.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.9.1
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: torchvision
  dependency-version: 0.24.1
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: torchcodec
  dependency-version: 0.9.1
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: transformers
  dependency-version: 4.57.3
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: datasets
  dependency-version: 4.4.1
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: huggingface-hub
  dependency-version: 1.2.3
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: torchaudio
  dependency-version: 2.9.1
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: jiwer
  dependency-version: 4.0.0
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: av
  dependency-version: 16.0.1
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: notebook-intelligence
  dependency-version: 3.0.0
  dependency-type: direct:production
  dependency-group: production-dependencies
- dependency-name: lightning
  dependency-version: 2.6.0
  dependency-type: direct:production
  dependency-group: production-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 Dec 12, 2025
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