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[MNT] [Dependabot](deps): Bump torchmetrics from 1.5.2 to 1.9.0#653

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[MNT] [Dependabot](deps): Bump torchmetrics from 1.5.2 to 1.9.0#653
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dependabot/pip/torchmetrics-1.9.0

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@dependabot dependabot bot commented on behalf of github Mar 10, 2026

Bumps torchmetrics from 1.5.2 to 1.9.0.

Release notes

Sourced from torchmetrics's releases.

Release v1.9.0

[1.9.0] - 2026-03-06

Changed

  • Defaulting Dice score average="macro" (#3042)
  • Dropped Python 3.9 support, set 3.10 as minimum (#3330)
  • Replaced pkg_resources with packaging (#3329)

Fixed

  • Fixed device mismatch in Metric base class (#3316)
  • Fixed n-d slicing deprecation warning (#3319)
  • Fixed tensor copy warning in logAUC (#3295)
  • Fixed memory issues when computing retrieval metrics with high-valued indices (#3291)
  • Fixed race condition in _safe_divide by creating tensor directly on device (#3284)

Key Contributors

@​adaliaramon, @​bhimrazy, @​GdoongMathew, @​Isalia20, @​KyleMylonakisProtopia, @​VijayVignesh1

New Contributors

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


Full Changelog: Lightning-AI/torchmetrics@v1.8.0...v1.9.0

Minor patch release

[1.8.2] - 2025-09-03

Fixed

  • Fixed BinaryPrecisionRecallCurve now returns NaN for precision when no predictions meet a threshold (#3227)
  • Fixed precision_at_fixed_recall and recall_at_fixed_precision to correctly return NaN thresholds when recall/precision conditions are not met (#3226)

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.9.0] - 2026-03-05

Changed

  • Defaulting Dice score average="macro" (#3042)
  • Dropped Python 3.9 support, set 3.10 as minimum (#3330)
  • Replaced pkg_resources with packaging (#3329)

Fixed

  • Fixed device mismatch in Metric base class (#3316)
  • Fixed n-d slicing deprecation warning (#3319)
  • Fixed tensor copy warning in logAUC (#3295)
  • Fixed memory issues when computing retrieval metrics with high-valued indices (#3291)
  • Fixed race condition in _safe_divide by creating tensor directly on device (#3284)

[1.8.2] - 2025-09-03

Fixed

  • Fixed BinaryPrecisionRecallCurve now returns NaN for precision when no predictions meet a threshold (#3227)
  • Fixed precision_at_fixed_recall and recall_at_fixed_precision to correctly return NaN thresholds when recall/precision conditions are not met (#3226)

[1.8.1] - 2025-08-07

Changed

  • Added reduction='none' to vif metric (#3196)
  • Float input support for segmentation metrics (#3198)

Fixed

  • Fixed unintended sigmoid normalization in BinaryPrecisionRecallCurve (#3182)

[1.8.0] - 2025-07-23

Added

  • Added VMAF metric to new video domain (#2991)
  • Added CRPS in regression domain (#3024)
  • Added aggregation_level argument to DiceScore (#3018)
  • Added support for reduction="none" to LearnedPerceptualImagePatchSimilarity (#3053)
  • Added support single str input for functional interface of bert_score (#3056)
  • Enhance: BERTScore to evaluate hypotheses against multiple references (#3069)
  • Added Lip Vertex Error (LVE) in multimodal domain (#3090)
  • Added antialias argument to FID metric (#3177)
  • Added mixed input format to segmentation metrics (#3176)

... (truncated)

Commits
  • 700261d Refactor GitHub Actions for PyPI publishing (#3334)
  • 2ec81e6 chore: update changelog & version for 1.9.0 (#3332)
  • 32f3e01 Fix race condition in _safe_divide by creating tensor directly on device (#...
  • 76d4262 Fix memory issues when computing retrieval metrics with high-valued indices (...
  • 8e1b7b3 chore: drop Python 3.9, set 3.10 as minimum (#3330)
  • 4d52812 fix device mismatch (#3316)
  • 41506c3 Docs: fix math blocks (#3325)
  • 18bd245 fix: replace pkg_resources with packaging and pin setuptools <82.0.0 (#3329)
  • bfcc276 Fix EER docstrings (#3312)
  • 52ea730 fix: add tuple cast to avoid nd slicing deprecation warning (#3319)
  • Additional commits viewable in compare view

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Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 1.5.2 to 1.9.0.
- [Release notes](https://github.com/Lightning-AI/torchmetrics/releases)
- [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md)
- [Commits](Lightning-AI/torchmetrics@v1.5.2...v1.9.0)

---
updated-dependencies:
- dependency-name: torchmetrics
  dependency-version: 1.9.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the maintenance Continuous integration, unit testing & package distribution label Mar 10, 2026
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