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@dependabot dependabot bot commented on behalf of github Jun 6, 2025

Bumps the pip-others group with 7 updates in the / directory:

Package From To
rich-argparse 1.7.0 1.7.1
torchmetrics 1.6.0 1.7.2
onnx 1.17.0 1.18.0
tox 4.25.0 4.26.0
onnxruntime 1.21.1 1.22.0
matplotlib 3.10.1 3.10.3
mlflow 2.21.3 2.22.1

Updates rich-argparse from 1.7.0 to 1.7.1

Release notes

Sourced from rich-argparse's releases.

Version 1.7.1

#162 Fix TypeError on nightly builds (Python 3.14.0a7+) due to new HelpFormatter arguments. The console parameter is now keyword-only.

Full Changelog: hamdanal/rich-argparse@v1.7.0...v1.7.1

Changelog

Sourced from rich-argparse's changelog.

1.7.1 - 2025-05-25

Fixes

  • PR-162 Fix TypeError on nightly builds (Python 3.14.0a7+) due to new HelpFormatter arguments. The console parameter is now keyword-only.
Commits

Updates torchmetrics from 1.6.0 to 1.7.2

Release notes

Sourced from torchmetrics's releases.

Minor patch release

[1.7.2] - 2025-05-27

Changed

  • Enhance: improve performance of _rank_data (#3103)

Fixed

  • Fixed UnboundLocalError in MatthewsCorrCoef (#3059)
  • Fixed MIFID incorrectly converts inputs to byte dtype with custom encoders (#3064)
  • Fixed ignore_index in MultilabelExactMatch (#3085)
  • Fixed: disable non-blocking on MPS (#3101)

Key Contributors

@​ahmedhshahin, @​gratus907, @​rittik9, @​ZhiyuanChen

If we forgot someone due to not matching commit email with GitHub account, let us know :]


Full Changelog: Lightning-AI/torchmetrics@v1.7.1...v1.7.2

Minor patch release

[1.7.1] - 2025-04-06

Changed

  • Enhance Support Adding a MetricCollection to Another MetricCollection in add_metrics Function (#3032)

Fixed

  • Fixed absent class MeanIOU (#2892)
  • Fixed detection IoU ignores predictions without ground truth (#3025)
  • Fixed error raised in MulticlassAccuracy when top_k>1 (#3039)

Key Contributors

@​Isalia20, @​rittik9, @​SkafteNicki

If we forgot someone due to not matching commit email with GitHub account, let us know :]


Full Changelog: Lightning-AI/torchmetrics@v1.7.0...v1.7.1

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.7.2] - 2025-05-27

Changed

  • Enhance: improve performance of _rank_data (#3103)

Fixed

  • Fixed UnboundLocalError in MatthewsCorrCoef (#3059)
  • Fixed MIFID incorrectly converts inputs to byte dtype with custom encoders (#3064)
  • Fixed ignore_index in MultilabelExactMatch (#3085)
  • Fixed: disable non-blocking on MPS (#3101)

[1.7.1] - 2025-04-06

Changed

  • Enhance Support Adding a MetricCollection to Another MetricCollection in add_metrics Function (#3032)

Fixed

  • Fixed absent class MeanIOU (#2892)
  • Fixed detection IoU ignores predictions without ground truth (#3025)
  • Fixed error raised in MulticlassAccuracy when top_k>1 (#3039)

[1.7.0] - 2025-03-20

Added

  • Additions to image domain:
    • Added ARNIQA metric (#2953)
    • Added DeepImageStructureAndTextureSimilarity (#2993)
    • Added support for more models and processors in CLIPScore (#2978)
  • Added JensenShannonDivergence metric to regression package (#2992)
  • Added ClusterAccuracy metric to cluster package (#2777)
  • Added Equal Error Rate (EER) to classification package (#3013)
  • Added functional interface to MeanAveragePrecision metric (#3011)

Changed

  • Making num_classes optional for one-hot inputs in MeanIoU (#3012)

Removed

  • Removed Dice from classification (#3017)

Fixed

... (truncated)

Commits
  • 6587b6a releasing 1.7.2
  • 280bb56 drop deprecated dependabot reviewers (#3109)
  • 5536a89 enhancement: improve performance of _rank_data (#3103)
  • 3870a52 fix: disable non-blocking on MPS (#3101)
  • 6333c33 build(deps): update huggingface-hub requirement from <0.32 to <0.33 in /requi...
  • f5203bb build(deps): bump pytest-xdist from 3.6.1 to 3.7.0 in /requirements (#3108)
  • 42d702c Docs: Clarify reference format differences between TorchMetrics and original ...
  • a2354a5 build(deps): update huggingface-hub requirement from <0.31 to <0.32 in /requi...
  • b0b6513 build(deps): bump pytest-rerunfailures from 15.0 to 15.1 in /requirements (#3...
  • 586c5e4 build(deps): update onnxruntime requirement from <1.22,>=1.12.0 to >=1.12.0,<...
  • Additional commits viewable in compare view

Updates onnx from 1.17.0 to 1.18.0

Release notes

Sourced from onnx's releases.

v1.18.0

ONNX v1.18.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

Key Updates

ai.onnx Opset 23

Attention, Cast, CastLike, Constant, ConstantOfShape, DequantizeLinear, Flatten, Identity, If, Loop, Pad, QuantizeLinear, RMSNormalization, Reshape, RotaryEmbedding, Scan, Shape, Size, Squeeze, Transpose, Unsqueeze

IR Version 11

  • Added FLOAT4E2M1 and multi-device configuration support
  • Relaxed naming requirements (onnx/onnx#6652)

Python support

  • Support Python 3.13
  • Experimental support for Python 3.13t (Windows, Mac)
  • Removed support for Python 3.8
  • wheels for Windows Arm64

Build

  • Minimum protobuf version is upgraded to v25.1
  • A new option ONNX_BUILD_CUSTOM_PROTOBUF is added for CMAKE (onnx/onnx#6495)

What's Changed

Breaking Changes and Deprecations

  • Remove/raise exception when external file exists during onnx.save by @​tonypottera24 in onnx/onnx#6497
  • Remove python 3.8 workflows (python 3.8 is eol) by @​cyyever in onnx/onnx#6434
  • Deprecate all type casting functions by @​justinchuby in onnx/onnx#6639 => scheduled to remove in 1.20
  • GroupNormalization-18 is now deprecated and replaced by GroupNormalization-23 due to an incorrect definition (#6358)
  • helper.split_complex_to_pairs is now private. Users can consider duplicating the underlying logic for their own use.

Spec and Operator

Reference Implementation

... (truncated)

Commits

Updates tox from 4.25.0 to 4.26.0

Release notes

Sourced from tox's releases.

4.26.0

What's Changed

New Contributors

Full Changelog: tox-dev/tox@4.25.0...4.26.0

Changelog

Sourced from tox's changelog.

v4.26.0 (2025-05-13)

Features - 4.26.0

- Add support for free-threaded python builds.
  Factors like ``py313t`` will only pick builds with the GIL disabled while factors without trailing ``t`` will only pick
  builds without no-GIL support. (:issue:`3391`)
- Drop support for EOL Python 3.8. (:issue:`3527`)

Bugfixes - 4.26.0

  • Fix a regression issue related to inability to use file| substitution option in nested set_env sections of ini configurations since tox4 update. (:issue:2435)
  • Fix TypeError for HelpFormatter with Python 3.14 (:issue:3523)
Commits

Updates onnxruntime from 1.21.1 to 1.22.0

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.22

Announcements

  • This release introduces new API's for Model Editor, Auto EP infrastructure, and AOT Compile
  • OnnxRuntime GPU packages require CUDA 12.x , packages built for CUDA 11.x are no longer published.
  • The min supported Windows version is now 10.0.19041.

GenAI & Advanced Model Features

  • Constrained Decoding: Introduced new capabilities for constrained decoding, offering more control over generative AI model outputs.

Execution & Core Optimizations

Core

  • Auto EP Selection Infrastructure: Added foundational infrastructure to enable automatic selection of Execution Providers via selection policies, aiming to simplify configuration and optimize performance. (Pull Request #24430)
  • Compile API: Introduced new APIs to support explicit compilation of ONNX models.
  • Model Editor API api's for creating or editing ONNX models

Execution Provider (EP) Updates

CPU EP/MLAS

  • KleidiAI Integration: Integrated KleidiAI into ONNX Runtime/MLAS for enhanced performance on Arm architectures.
  • MatMulNBits Support: Added support for MatMulNBits, enabling matrix multiplication with weights quantized to 8 bits.
  • GroupQueryAttention optimizations and enhancements

OpenVINO EP

  • Added support up to OpenVINO 2025.1
  • Introduced Intel compiler level optimizations for QDQ models.
  • Added support to select Intel devices based on LUID
  • Load_config feature improvement to support AUTO, HETERO and MULTI plugin.
  • misc bugfixes/optimizations
  • For detailed updates, refer to Pull Request #24394: ONNXRuntime OpenVINO - Release 1.22

QNN EP

  • SDK Update: Added support for QNN SDK 2.33.2.
  • operator updates/support to Sum, Softmax, Upsample, Expand, ScatterND, Einsum
  • QNN EP can be built as shared or static library.
  • enable QnnGpu backend
  • For detailed updates refer to recent QNN tagged PR's

TensorRT EP

  • TensorRT Version: Added support for TensorRT 10.9.
    • Note for onnx-tensorrt open-source parser users: Please check here for specific requirements (Referencing 1.21 link as a placeholder, this should be updated for 1.22).
  • New Features:
    • EP option to enable TRT Preview Feature
    • Support to load TensorRT V3 plugin
  • Bug Fixes:

... (truncated)

Commits

Updates matplotlib from 3.10.1 to 3.10.3

Release notes

Sourced from matplotlib's releases.

REL: v3.10.3

This is the third bugfix release of the 3.10.x series

Commits
  • 8b82729 REL: v3.10.3
  • 71e6946 REL prep 3.10.3
  • 0ef15b6 Merge pull request #30018 from meeseeksmachine/auto-backport-of-pr-29907-on-v...
  • 3b50d5c Backport PR #29907: Ensure text metric calculation always uses the text cache
  • acb7361 Merge pull request #30010 from rcomer/auto-backport-of-pr-29992-on-v3.10.x
  • 0ef1165 Backport PR #29992 on v3.10.x: Update pinned oldest win image on azure
  • 0595366 Merge pull request #29867 from QuLogic/auto-backport-of-pr-29827-on-v3.10.x
  • 9f40c83 Merge pull request #30002 from meeseeksmachine/auto-backport-of-pr-29673-on-v...
  • 95c87f2 Backport PR #29673: DOC: document the issues with overlaying new mpl on old mpl
  • a64d453 Merge pull request #29999 from QuLogic/auto-backport-of-pr-29997-on-v3.10.x
  • Additional commits viewable in compare view

Updates mlflow from 2.21.3 to 2.22.1

Release notes

Sourced from mlflow's releases.

v2.22.1

MLflow 2.22.1 includes several major features and improvements

Features:

  • [Scoring] For DBConnect client, make spark_udf support DBR 15.4 and DBR dedicated cluster (#15938, @​WeichenXu123)

Bug fixes:

  • [Model Registry] Log Resources from SystemAuthPolicy in CreateModelVersion (#15485, @​aravind-segu)
  • [Tracking] Trace search: Avoid spawning threads for span fetching if include_spans=False (#, @​dbczumar)

Documentation updates:

Small bug fixes and documentation updates:

#15523, #15728, @​TomeHirata; #13997, #16025, #15647, #16030, @​harupy; #15786, @​rahuja23; #15703, @​joelrobin18; #15612, @​serena-ruan; #16031, @​daniellok-db; #15841, @​frontsideair; #15807, @​B-Step62

MLflow 2.22.0 brings important bug fixes and improves the UI and tracking capabilities.

Features:

Bug Fixes:

  • [Tracking / UI] Fixed serialization for structured output in langchain_tracer + added unit tests (#14971, @​joelrobin18)
  • [Server-infra] Enforced password validation for authentication (min. 8 characters) (#15287, @​WeichenXu123)
  • [Deployments] Resolved an issue with the OpenAI Gateway adapter (#15286, @​WeichenXu123)
  • [Artifacts / Tracking / Server-infra] Normalized paths by stripping trailing slashes (#15016, @​tarek7669)
  • [Tags] Fixed bug where tag values containing ": " were being truncated (#14896, @​harupy)

Small bug fixes and documentation updates:

#15396, #15379, #15292, #15305, #15078, #15251, #15267, #15208, #15104, #15045, #15084, #15055, #15056, #15048, #14946, #14956, #14903, #14854, #14830, @​serena-ruan; #15417, #15256, #15186, #15007, @​TomeHirata; #15119, @​bbqiu; #15413, #15314, #15311, #15303, #15301, #15288, #15275, #15269, #15272, #15268, #15262, #15266, #15264, #15261, #15252, #15249, #15244, #15236, #15235, #15237, #15140, #14982, #14898, #14893, #14861, #14870, #14853, #14849, #14813, #14822, @​harupy; #15333, #15298, #15300, #15156, #15019, #14957, @​B-Step62; #15313, #15297, #14880, @​daniellok-db; #15066, #15074, #14913, @​joelrobin18; #15232, @​kbolashev; #15242, @​dbczumar; #15210, #15178, @​WeichenXu123; #15187, #15177, @​hubertzub-db; #15059, #15070, #15050, #15012, #14959, #14918, #15005, #14965, #14858, #14930, #14927, #14786, #14883, #14863, #14852, #14788, @​Gumichocopengin8; #15134, #15129, #15120, #15117, #15002, #14997, #14996, #14998, #14975, #14874, @​mlflow-automation; #14920, #14919, @​jaceklaskowski

Changelog

Sourced from mlflow's changelog.

2.22.1 (2025-06-06)

MLflow 2.22.1 includes several major features and improvements

Features:

  • [Scoring] For DBConnect client, make spark_udf support DBR 15.4 and DBR dedicated cluster (#15938, @​WeichenXu123)

Bug fixes:

  • [Model Registry] Log Resources from SystemAuthPolicy in CreateModelVersion (#15485, @​aravind-segu)
  • [Tracking] Trace search: Avoid spawning threads for span fetching if include_spans=False (#15635, @​dbczumar)

Documentation updates:

Small bug fixes and documentation updates:

#15523, #15728, @​TomeHirata; #13997, #16025, #15647, #16030, @​harupy; #15786, @​rahuja23; #15703, @​joelrobin18; #15612, @​serena-ruan; #16031, @​daniellok-db; #15841, @​frontsideair; #15807, @​B-Step62

2.22.0 (2025-04-24)

MLflow 2.22.0 brings important bug fixes and improves the UI and tracking capabilities.

Features:

Bug Fixes:

  • [Tracking / UI] Fixed serialization for structured output in langchain_tracer + added unit tests.
    (#14971, @​joelrobin18)
  • [Server-infra] Enforced password validation for authentication (min. 8 characters).
    (#15287, @​WeichenXu123)

... (truncated)

Commits

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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 6, 2025
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jun 6, 2025
@github-actions github-actions bot added DEPENDENCY Any changes in any dependencies (new dep or its version) should be produced via Change Request on PM BUILD labels Jun 6, 2025
@dependabot dependabot bot force-pushed the dependabot/pip/pip-others-3e92e64def branch from ad3bb83 to 4934e14 Compare June 10, 2025 12:52
Bumps the pip-others group with 7 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [rich-argparse](https://github.com/hamdanal/rich-argparse) | `1.7.0` | `1.7.1` |
| [torchmetrics](https://github.com/Lightning-AI/torchmetrics) | `1.6.0` | `1.7.2` |
| [onnx](https://github.com/onnx/onnx) | `1.17.0` | `1.18.0` |
| [tox](https://github.com/tox-dev/tox) | `4.25.0` | `4.26.0` |
| [onnxruntime](https://github.com/microsoft/onnxruntime) | `1.21.1` | `1.22.0` |
| [matplotlib](https://github.com/matplotlib/matplotlib) | `3.10.1` | `3.10.3` |
| [mlflow](https://github.com/mlflow/mlflow) | `2.21.3` | `2.22.1` |



Updates `rich-argparse` from 1.7.0 to 1.7.1
- [Release notes](https://github.com/hamdanal/rich-argparse/releases)
- [Changelog](https://github.com/hamdanal/rich-argparse/blob/v1.7.1/CHANGELOG.md)
- [Commits](hamdanal/rich-argparse@v1.7.0...v1.7.1)

Updates `torchmetrics` from 1.6.0 to 1.7.2
- [Release notes](https://github.com/Lightning-AI/torchmetrics/releases)
- [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/v1.7.2/CHANGELOG.md)
- [Commits](Lightning-AI/torchmetrics@v1.6.0...v1.7.2)

Updates `onnx` from 1.17.0 to 1.18.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.17.0...v1.18.0)

Updates `tox` from 4.25.0 to 4.26.0
- [Release notes](https://github.com/tox-dev/tox/releases)
- [Changelog](https://github.com/tox-dev/tox/blob/main/docs/changelog.rst)
- [Commits](tox-dev/tox@4.25.0...4.26.0)

Updates `onnxruntime` from 1.21.1 to 1.22.0
- [Release notes](https://github.com/microsoft/onnxruntime/releases)
- [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md)
- [Commits](microsoft/onnxruntime@v1.21.1...v1.22.0)

Updates `matplotlib` from 3.10.1 to 3.10.3
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.10.1...v3.10.3)

Updates `mlflow` from 2.21.3 to 2.22.1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.21.3...v2.22.1)

---
updated-dependencies:
- dependency-name: rich-argparse
  dependency-version: 1.7.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-others
- dependency-name: torchmetrics
  dependency-version: 1.7.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-others
- dependency-name: onnx
  dependency-version: 1.18.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-others
- dependency-name: tox
  dependency-version: 4.26.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-others
- dependency-name: onnxruntime
  dependency-version: 1.22.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-others
- dependency-name: matplotlib
  dependency-version: 3.10.3
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-others
- dependency-name: mlflow
  dependency-version: 2.22.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-others
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/pip-others-3e92e64def branch from 4934e14 to 2ee76fb Compare June 11, 2025 12:51
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