Bump the all-python-packages group across 1 directory with 26 updates

[dependabot]

Bumps the all-python-packages group with 20 updates in the / directory:

Package	From	To
accelerate	1.10.1	1.13.0
datasets	4.2.0	4.8.4
flwr	1.22.0	1.28.0
pyarrow	21.0.0	23.0.1
pydantic	2.12.0	2.12.5
pydantic-settings	2.11.0	2.13.1
torch	2.8.0	2.11.0
peft	0.17.1	0.18.1
transformers	4.56.2	5.5.0
grpcio	1.75.1	1.80.0
llama-index-core	0.14.4	0.14.20
langchain-core	0.3.79	1.2.26
codespell	2.4.1	2.4.2
ipykernel	6.30.1	7.2.0
isort	7.0.0	8.0.1
pre-commit	4.3.0	4.5.1
pytest	8.4.2	9.0.2
pytest-cov	7.0.0	7.1.0
ruff	0.14.0	0.15.9
mkdocs-material	9.6.21	9.7.6

Updates accelerate from 1.10.1 to 1.13.0

Release notes

Sourced from accelerate's releases.

v1.13.0: Neuron support, IPEX removal, and distributed training fixes

AWS Neuron support

We now have support for AWS Neuron (Trainium/Inferentia) devices. Thanks @​michaelbenayoun for adding this.

• Neuron integration by @​michaelbenayoun in huggingface/accelerate#3935

XPU Improvements

We've removed IPEX dependency and improved device-agnostic code for XPU.

• using spawn instead of fork for XPU device by @​kaixuanliu in huggingface/accelerate#3884
• Remove ipex by @​yao-matrix in huggingface/accelerate#3883
• enhance new codes to XPU, and make them be device agnostic by @​yao-matrix in huggingface/accelerate#3890
• Fix KMP_AFFINITY incorrectly set for non-CPU training by @​hexfaker in huggingface/accelerate#3912

FSDP2 Improvements

We've added a bunch of important fixes for FSDP2 users: upcasting only grad-requiring params, better tied embedding errors, DCP optimizer loading, bf16 optimizer step crash fix, and torch < 2.7.0 compatibility.

• Upcast FSDP2 parameters only if requires_grad by @​ojh31 in huggingface/accelerate#3848
• Fix FSDP2 tied embedding errors with targeted ValueError guidance by @​amanzoni1 in huggingface/accelerate#3878
• bug: fsdp cannot load optimizer state using dcp by @​flymin in huggingface/accelerate#3904
• fix crash in optimizer.step when fsdp2 is enabled and model is bfloat16 by @​sywangyi in huggingface/accelerate#3905
• Fix FSDP2 crash with ignored_params on torch < 2.7.0 by @​Mr-Neutr0n in huggingface/accelerate#3924

DeepSpeed Sequence Parallelism

We've added several fixes to the DeepSpeed + Sequence Parallelism integration introduced in v1.12.0, including evaluation support during SP training and proper process group handling.

• [SP] fix loss computation example by @​kashif in huggingface/accelerate#3858
• [SP and CP] error out if both CP and SP enabled by @​kashif in huggingface/accelerate#3862
• DeepSpeed has its own process group by @​kashif in huggingface/accelerate#3916
• [Deepspeed] skip device mesh creation when deepspeed and sp_size >1 by @​kashif in huggingface/accelerate#3914
• Enable evaluation during deepspeed Sequence Parallel by @​jp1924 in huggingface/accelerate#3917

FP8

We've enhanced FP8 training. Thanks @​shimizust for fixing torchao support.

• Fix FP8 torchao default config with padding and FSDP2 all-gather support by @​shimizust in huggingface/accelerate#3831
• Fix execution with Transformer Engine by @​ksivaman in huggingface/accelerate#3852
• add MS-AMP deprecation warnings by @​neha222222 in huggingface/accelerate#3857

Performance

Accelerate now imports faster by deferring heavy dependencies, and torch.compile hooks are disabled lazily.

• Faster import by @​SunMarc in huggingface/accelerate#3953
• lazy compile disable by @​SunMarc in huggingface/accelerate#3947
• Disable hook compile by @​SunMarc in huggingface/accelerate#3888

Minor fixes

• Allow non-Tensor values in a batch with dispatch_batches=True by @​tomaarsen in huggingface/accelerate#3850
• fix module and optimizer parameter mismatch before prepare_tp_ by @​naomili0924 in huggingface/accelerate#3845
• Fix KeyError in extract_model_from_parallel for partial torch.compile by @​amanzoni1 in huggingface/accelerate#3881
• Fix hf_device_map device index comparison in prepare_model by @​rezaqorbani in huggingface/accelerate#3895
• Fix StatefulDataLoader KeyError with num_workers > 0 by @​veeceey in huggingface/accelerate#3931
• Fix stateful dataloader DDP by @​SunMarc in huggingface/accelerate#3952
• Fix: Remove duplicate W&B initialization in offline mode by @​shantanugupta2004 in huggingface/accelerate#3886

... (truncated)

Commits

• e6ee133 Release: v1.13.0
• 2a7e27f Fix testing ci (#3955)
• 0990ded Faster import (#3953)
• 5cf9cf8 fix-stateful-dataloader (#3952)
• beed693 Prepare TP fix (#3945)
• 8067aba Fix StatefulDataLoader KeyError with num_workers > 0 (#3931)
• 8ec83c8 Fix FSDP2 crash with ignored_params on torch < 2.7.0 (#3924)
• 7554afb Fix mutable default in Megatron init and IndexError on empty ModuleList (#3944)
• 23f2ab3 Fix logging logic when in_order is set to True (#3280)
• 58c3605 docs: update low-precision training docs to reflect MS-AMP deprecation (#3929)
• Additional commits viewable in compare view

Updates datasets from 4.2.0 to 4.8.4

Release notes

Sourced from datasets's releases.

4.8.4

What's Changed

• Support latest torchvision by @​lhoestq in huggingface/datasets#8087
• fix regression when loading JSON with one file = one object by @​lhoestq in huggingface/datasets#8086

Full Changelog: huggingface/datasets@4.8.3...4.8.4

4.8.3

What's Changed

• Fix split_dataset_by_node step by @​lhoestq in huggingface/datasets#8081
• Fix docstring of Json.cast_storage by @​albertvillanova in huggingface/datasets#8080

Full Changelog: huggingface/datasets@4.8.2...4.8.3

4.8.2

What's Changed

• Json type for empty struct by @​lhoestq in huggingface/datasets#8074

Full Changelog: huggingface/datasets@4.8.1...4.8.2

4.8.1

What's Changed

• Fix formatted iter arrow double yield by @​HaukurPall in huggingface/datasets#8063

Full Changelog: huggingface/datasets@4.8.0...4.8.1

4.8.0

Dataset Features

• Read (and write) from HF Storage Buckets: load raw data, process and save to Dataset Repos by @​lhoestq in huggingface/datasets#8064

  from datasets import load_dataset
  # load raw data from a Storage Bucket on HF
  ds = load_dataset("buckets/username/data-bucket", data_files=["*.jsonl"])
  # or manually, using hf:// paths
  ds = load_dataset("json", data_files=["hf://buckets/username/data-bucket/*.jsonl"])
  # process, filter
  ds = ds.map(...).filter(...)
  # publish the AI-ready dataset
  ds.push_to_hub("username/my-dataset-ready-for-training")

  This also fixes multiprocessed push_to_hub on macos that was causing segfault (now it uses spawn instead of fork). And it bumps dill and multiprocess versions to support python 3.14

• Datasets streaming iterable packaged improvements and fixes by @​Michael-RDev in huggingface/datasets#8068

  • added max_shard_size to IterableDataset.push_to_hub (but requires iterating twice to know the full dataset twice - improvements are welcome)

... (truncated)

Commits

• a0ce369 release: 4.8.4 (#8088)
• 0856825 fix regression when loading JSON with one file = one object (#8086)
• 6ca75d0 Support latest torchvision (#8087)
• 4a0c9c9 set dev version (#8083)
• d4942e2 Release 4.8.3 (#8082)
• 1b31309 Fix split_dataset_by_node step (#8081)
• 4a4813f Fix docstring of Json.cast_storage (#8080)
• 68294ab set dev version (#8077)
• 2c46ab1 release 4.8.2 (#8076)
• 97ba494 Json type for empty struct (#8074)
• Additional commits viewable in compare view

Updates flwr from 1.22.0 to 1.28.0

Release notes

Sourced from flwr's releases.

Flower 1.28.0

Thanks to our contributors

We would like to give our special thanks to all the contributors who made the new version of Flower possible (in git shortlog order):

Charles Beauville, Chong Shen Ng, Daniel J. Beutel, Daniel Nata Nugraha, Heng Pan, Javier, Julian Rußmeyer, Micah Sheller, Mohammad Naseri, Patrick Foley, Taner Topal, William Lindskog, Yan Gao, xiaoyanshen799

What's new?

• Introduce federation-based simulation configuration and management (#6787, #6790, #6791, #6806, #6813, #6820, #6821, #6826, #6829, #6837, #6846, #6848, #6857, #6858, #6859, #6860, #6861, #6865, #6867, #6882, #6883, #6888, #6895, #6907, #6934)

  Introduces simulation-capable federations and a mechanism to configure the Simulation Runtime that these federations use in both a persistent manner and with per-run overrides. For the former, the flwr federation simulation-config command is introduced; for the latter --federation-config can be used to dynamically override values at when submitting a run via flwr run. Updates documentation and provides a migration guide here. Refer to the updated Simulation Runtime guide for more details about running simulations with Flower.

• Improve local SuperLink stability and configuration handling (#6797, #6873, #6874, #6889)

  Improves local SuperLink stability by improving SQLite bootstrap robustness and validating Control API availability before executing CLI calls. Allows magic values (":local:", ":local-in-memory:") for address fields in Flower configuration, which will be translated to the local SuperLink address. Ensures backward compatibility for .options-only connection configurations. Using .options fields in the Flower configuration (config.toml) is now deprecated. See Flower configuration guide for more details.

• Add configurable FAB inclusion and exclusion rules (#6803, #6804, #6805, #6822, #6823, #6872, #6885)

  Introduces support for user-defined include and exclude patterns in FAB builds via configuration, with validation of pattern lists and extended matching capabilities. Ensures publish filters are applied before FAB build filters, standardizes metadata keys in pyproject.toml, and refactors supporting utilities. Updates documentation with guide on configuring inclusion and exclusion rules.

• Introduce FAB format v1 validation rules and requirements (#6782, #6825, #6843, #6851, #6887)

  Introduces validation rules for FAB format version 1, requiring flwr-version-target to be specified and enforcing a lower bound for the flwr dependency in pyproject.toml. Adds license file requirements during FAB build.

• Add non-blocking version update checks across Flower components (#6786, #6788, #6833, #6938)

  Adds non-blocking startup checks in the Flower CLI to detect newer versions of flwr in CLI. Allows disabling by setting environment variable FLWR_DISABLE_UPDATE_CHECK=1.

• Support port 0 for automatic OS-assigned ports (#6795)

• Add --version flag to Flower CLI components (#6781)

• Add dynamic data seed option to FlowerTune LLM examples (#6831)

• Add flwr federation remove-account command for managing federation membership (#6757, #6759, #6764, #6772, #6777, #6778, #6789)

• Improve availability and reliability of message delivery and state handling (#6773, #6785, #6877, #6915)

• Fix handling of scalar (0D) NumPy arrays in strategies and mods (#6783)

• Improve documentation (#6332, #6742, #6771, #6834, #6838, #6910, #6929, #6941)

• Improve CI/CD workflows and developer tooling (#6701, #6732, #6738, #6739, #6743, #6744, #6753, #6768, #6769, #6770, #6775, #6793, #6816, #6835)

• General improvements (#6578, #6627, #6734, #6740, #6748, #6749, #6751, #6755, #6763, #6774, #6776, #6779, #6800, #6801, #6802, #6811, #6815, #6827, #6828, #6839, #6840, #6841, #6842, #6868, #6869, #6893, #6900, #6901, #6906, #6908, #6909, #6918, #6919, #6920, #6921, #6922, #6923, #6930, #6932)

  As always, many parts of the Flower framework and quality infrastructure were improved and updated.

Incompatible changes

... (truncated)

Commits

• 830759c feat(framework): Update Changelog for v1.28.0 release (#6905)
• 1d0ff79 docs(framework): Mention Flower CLI setup for TLS in node authentication g...
• 6312126 fix(framework): Perform update check before argparse (#6938)
• 8f3472a refactor(framework): Ensure at least one option is passed to `flwr federation...
• 48d3bc7 feat(baselines): Update Baselines Docs DR26 (#6578)
• 8fd51ab refactor(framework): Add timeout to ServerApp thread in Simulation Runtime ...
• 11b8fb2 refactor(framework): Avoid telemetry blocking (#6922)
• 03d918b fix(framework): Call usage report on row change in _on_tokens_expire (#6923)
• 72f17df refactor(framework): Improve error message when max directory depth is reache...
• 38ae4b7 docs(framework:skip): Update source texts for translations (auto) (#6929)
• Additional commits viewable in compare view

Updates pyarrow from 21.0.0 to 23.0.1

Release notes

Sourced from pyarrow's releases.

Apache Arrow 23.0.1

Release Notes URL: https://arrow.apache.org/release/23.0.1.html

Apache Arrow 23.0.1 RC0

Release Notes: Release Candidate: 23.0.1 RC0

Apache Arrow 23.0.0

Release Notes URL: https://arrow.apache.org/release/23.0.0.html

Apache Arrow 23.0.0 RC2

Release Notes: Release Candidate: 23.0.0 RC2

Apache Arrow 22.0.0

Release Notes URL: https://arrow.apache.org/release/22.0.0.html

Apache Arrow 22.0.0 RC1

Release Notes: Release Candidate: 22.0.0 RC1

Apache Arrow 22.0.0 RC0

Release Notes: Release Candidate: 22.0.0 RC0

Commits

• 82a374e MINOR: [Release] Update versions for 23.0.1
• c1ae37c MINOR: [Release] Update .deb/.rpm changelogs for 23.0.1
• 8f6e557 MINOR: [Release] Update CHANGELOG.md for 23.0.1
• 4e16a1a GH-49159: [C++][Gandiva] Detect overflow in repeat() (#49160)
• 985621d GH-48817 [R][C++] Bump C++20 in R build infrastructure (#48819)
• 1bea06a GH-49024: [CI] Update Debian version in .env (#49032)
• 147bcd6 GH-49156: [Python] Require GIL for string comparison (#49161)
• e4f922b GH-49138: [Packaging][Python] Remove nightly cython install from manylinux wh...
• f9376e4 GH-49003: [C++] Don't consider out_of_range an error in float parsing (#49095)
• ab2c0ad GH-49044: [CI][Python] Fix test_download_tzdata_on_windows by adding required...
• Additional commits viewable in compare view

Updates pydantic from 2.12.0 to 2.12.5

Release notes

Sourced from pydantic's releases.

v2.12.5 2025-11-26

v2.12.5 (2025-11-26)

This is the fifth 2.12 patch release, addressing an issue with the MISSING sentinel and providing several documentation improvements.

The next 2.13 minor release will be published in a couple weeks, and will include a new polymorphic serialization feature addressing the remaining unexpected changes to the serialize as any behavior.

• Fix pickle error when using model_construct() on a model with MISSING as a default value by @​ornariece in #12522.
• Several updates to the documentation by @​Viicos.

Full Changelog: pydantic/pydantic@v2.12.4...v2.12.5

v2.12.4 2025-11-05

v2.12.4 (2025-11-05)

This is the fourth 2.12 patch release, fixing more regressions, and reverting a change in the build() method of the AnyUrl and Dsn types.

This patch release also fixes an issue with the serialization of IP address types, when serialize_as_any is used. The next patch release will try to address the remaining issues with serialize as any behavior by introducing a new polymorphic serialization feature, that should be used in most cases in place of serialize as any.

• Fix issue with forward references in parent TypedDict classes by @​Viicos in #12427.

  This issue is only relevant on Python 3.14 and greater.

• Exclude fields with exclude_if from JSON Schema required fields by @​Viicos in #12430

• Revert URL percent-encoding of credentials in the build() method of the AnyUrl and Dsn types by @​davidhewitt in pydantic-core#1833.

  This was initially considered as a bugfix, but caused regressions and as such was fully reverted. The next release will include an opt-in option to percent-encode components of the URL.

• Add type inference for IP address types by @​davidhewitt in pydantic-core#1868.

  The 2.12 changes to the serialize_as_any behavior made it so that IP address types could not properly serialize to JSON.

• Avoid getting default values from defaultdict by @​davidhewitt in pydantic-core#1853.

  This fixes a subtle regression in the validation behavior of the collections.defaultdict type.

• Fix issue with field serializers on nested typed dictionaries by @​davidhewitt in pydantic-core#1879.

• Add more pydantic-core builds for the three-threaded version of Python 3.14 by @​davidhewitt in pydantic-core#1864.

Full Changelog: pydantic/pydantic@v2.12.3...v2.12.4

v2.12.3 2025-10-17

v2.12.3 (2025-10-17)

What's Changed

This is the third 2.13 patch release, fixing issues related to the FieldInfo class, and reverting a change to the supported after model validator function signatures.

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.12.5 (2025-11-26)

GitHub release

This is the fifth 2.12 patch release, addressing an issue with the MISSING sentinel and providing several documentation improvements.

The next 2.13 minor release will be published in a couple weeks, and will include a new polymorphic serialization feature addressing the remaining unexpected changes to the serialize as any behavior.

• Fix pickle error when using model_construct() on a model with MISSING as a default value by @​ornariece in #12522.
• Several updates to the documentation by @​Viicos.

v2.12.4 (2025-11-05)

GitHub release

This is the fourth 2.12 patch release, fixing more regressions, and reverting a change in the build() method of the AnyUrl and Dsn types.

This patch release also fixes an issue with the serialization of IP address types, when serialize_as_any is used. The next patch release will try to address the remaining issues with serialize as any behavior by introducing a new polymorphic serialization feature, that should be used in most cases in place of serialize as any.

• Fix issue with forward references in parent TypedDict classes by @​Viicos in #12427.

  This issue is only relevant on Python 3.14 and greater.

• Exclude fields with exclude_if from JSON Schema required fields by @​Viicos in #12430

• Revert URL percent-encoding of credentials in the build() method of the AnyUrl and Dsn types by @​davidhewitt in pydantic-core#1833.

  This was initially considered as a bugfix, but caused regressions and as such was fully reverted. The next release will include an opt-in option to percent-encode components of the URL.

• Add type inference for IP address types by @​davidhewitt in pydantic-core#1868.

  The 2.12 changes to the serialize_as_any behavior made it so that IP address types could not properly serialize to JSON.

• Avoid getting default values from defaultdict by @​davidhewitt in pydantic-core#1853.

  This fixes a subtle regression in the validation behavior of the collections.defaultdict type.

• Fix issue with field serializers on nested typed dictionaries by @​davidhewitt in pydantic-core#1879.

• Add more pydantic-core builds for the three-threaded version of Python 3.14 by @​davidhewitt in pydantic-core#1864.

v2.12.3 (2025-10-17)

GitHub release

... (truncated)

Commits

• bd2d0dd Prepare release v2.12.5
• 7d0302e Document security implications when using create_model()
• e9ef980 Fix typo in Standard Library Types documentation
• f2c20c0 Add pydantic-docs dev dependency, make use of versioning blocks
• a76c1aa Update documentation about JSON Schema
• 8cbc72c Add documentation about custom __init__()
• 99eba59 Add additional test for FieldInfo.get_default()
• c710769 Special case MISSING sentinel in smart_deepcopy()
• 20a9d77 Do not delete mock validator/serializer in rebuild_dataclass()
• c86515a Update parts of the model and revalidate_instances documentation
• Additional commits viewable in compare view

Updates pydantic-settings from 2.11.0 to 2.13.1

Release notes

Sourced from pydantic-settings's releases.

v2.13.0

What's Changed

• fix: Deterministic alias selection when using validate_by_name by @​chbndrhnns in pydantic/pydantic-settings#707
• add deep merge functionality to config file sources by @​pmeier in pydantic/pydantic-settings#698
• Add support for AWS Secrets Manager VersionId parameter by @​jcyamacho in pydantic/pydantic-settings#708
• bugfix: Return None for inaccessible GCP Secret Manager secrets by @​zaphod72 in pydantic/pydantic-settings#712
• Bugfix for cli_kebab_case="all" and CliImplicitFlag[bool] by @​Digity101 in pydantic/pydantic-settings#702
• Unpack type alisases when looking for NoDecode by @​tselepakis in pydantic/pydantic-settings#695
• CliToggleFlag and CliDualFlag by @​kschwab in pydantic/pydantic-settings#717
• Fix for CLI duplicate enum field values. by @​kschwab in pydantic/pydantic-settings#722
• fixed load nested config from env by @​Sube-py in pydantic/pydantic-settings#723
• Add non-Path files support (for example Traversable) and open files using Path.open method by @​mahenzon in pydantic/pydantic-settings#724
• add one more traversable test by @​mahenzon in pydantic/pydantic-settings#725
• CLI fix fox external list args. by @​kschwab in pydantic/pydantic-settings#727
• fix: handle case-insensitive retrieval in GoogleSecretManagerSettingsSource by @​ezwiefel in pydantic/pydantic-settings#730
• CLI test fixes for help text formatting. by @​kschwab in pydantic/pydantic-settings#735
• Avoid conflicts with the NAME environment variable in WSL by @​kzrnm in pydantic/pydantic-settings#747
• fix: When restoring init kwargs, use deterministic order by @​chbndrhnns in pydantic/pydantic-settings#746
• Add env_prefix_target by @​kzrnm in pydantic/pydantic-settings#749
• Remove (default: …) in the help message for CliToggleFlag by @​kzrnm in pydantic/pydantic-settings#740
• Add support for CLI serialize styles. by @​kschwab in pydantic/pydantic-settings#755
• Add support for overriding default help on CLI internal parser. by @​kschwab in pydantic/pydantic-settings#758
• CLI format_help method support by @​kschwab in pydantic/pydantic-settings#759
• feat(gcp): support SecretVersion annotation for per-field secret versioning by @​ezwiefel in pydantic/pydantic-settings#763
• Allow snake_case_conversion with env_prefix for Azure Key Vault source by @​cstarkers in pydantic/pydantic-settings#762
• fix: Only override preferred_key when no value was found by @​chbndrhnns in pydantic/pydantic-settings#767
• Update deps by @​hramezani in pydantic/pydantic-settings#768
• CLI coerce numeric types. by @​kschwab in pydantic/pydantic-settings#769
• CLI Union Discriminator Choices in Help by @​kschwab in pydantic/pydantic-settings#764
• Add nested path support for yaml_config_section (fixes #772) by @​hugo-romero-mm in pydantic/pydantic-settings#773
• Prepare release 2.13.0 by @​hramezani in pydantic/pydantic-settings#777

New Contributors

• @​pmeier made their first contribution in pydantic/pydantic-settings#698
• @​jcyamacho made their first contribution in pydantic/pydantic-settings#708
• @​zaphod72 made their first contribution in pydantic/pydantic-settings#712
• @​Digity101 made their first contribution in pydantic/pydantic-settings#702
• @​Sube-py made their first contribution in pydantic/pydantic-settings#723
• @​mahenzon made their first contribution in pydantic/pydantic-settings#724
• @​kzrnm made their first contribution in pydantic/pydantic-settings#747
• @​cstarkers made their first contribution in pydantic/pydantic-settings#762
• @​hugo-romero-mm made their first contribution in pydantic/pydantic-settings#773

Full Changelog: pydantic/pydantic-settings@v2.12.0...v2.13.0

v2.12.0

What's Changed

• Support for enum kebab case. by @​kschwab in pydantic/pydantic-settings#686
• Apply source order: init > env > dotenv > secrets > defaults and pres… by @​chbndrhnns in pydantic/pydantic-settings#688
• Add NestedSecretsSettings source by @​makukha in pydantic/pydantic-settings#690

... (truncated)

Commits

• e87d12d v2.13.1 (#790)
• acf8c14 Fix JSON decoding for parameterized PEP 695 type aliases (#780)
• 58b236a Fix AttributeError with nested env vars for dict fields (#785) (#786)
• 4933f06 Fix CLI parsing error for set field types since 2.13.0 (#787) (#788)
• bd0ebe6 Fix RecursionError with self-referential models in CliApp (#783)
• eb7840e Fix regression for bool fields since 2.13.0 (#784)
• 198e71c Prepare release 2.13.0 (#777)
• de71e84 Add nested path support for yaml_config_section (fixes #772) (#773)
• 0f8f951 CLI Union Discriminator Choices in Help (#764)
• ce9804c CLI coerce numeric types. (#769)
• Additional commits viewable in compare view

Updates torch from 2.8.0 to 2.11.0

Release notes

Sourced from torch's releases.

PyTorch 2.11.0 Release Notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes

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[dependabot]

Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting @dependabot recreate.

[dependabot]

Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting @dependabot recreate.