build(deps): bump torchmetrics from 0.9.1 to 1.8.2 in /tests/e2e

[dependabot]

Bumps torchmetrics from 0.9.1 to 1.8.2.

Release notes

Sourced from torchmetrics's releases.

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)

---

Key Contributors

@​iamkulbhushansingh

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

---

Full Changelog: Lightning-AI/torchmetrics@v1.8.1...v1.8.2

Minor patch release

[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)

---

Key Contributors

@​iamkulbhushansingh, @​PussyCat0700, @​simonreise

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

---

Full Changelog: Lightning-AI/torchmetrics@v1.8.0...v1.8.1

First video and vertex metrics

The upcoming TorchMetrics v1.8.0 release introduces three flagship metrics, each designed to address critical evaluation needs in real-world applications.

Video Multi-Method Assessment Fusion (VMAF) brings a perceptual video-quality score that closely mirrors human judgment, powering streaming services such as Netflix and YouTube to optimize encoding ladders for consistent viewer experiences and enabling video-restoration labs to quantify improvements achieved by denoising and super-resolution algorithms.

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[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)

Changed

• Changed data_range argument in PSNR metric to be a required argument (#3178)

Removed

• Removed zero_division argument from DiceScore (#3018)

---

[1.7.4] - 2025-07-03

Changed

• Improved numerical stability of pearson's correlation coefficient (#3152)

... (truncated)

Commits

• 85999b6 releasing 1.8.2
• f4382f9 build(deps): bump Lightning-AI/utilities from 0.15.0 to 0.15.2 (#3246)
• 741a244 build(deps): bump actions/checkout from 4 to 5 (#3243)
• 405aaf5 build(deps): bump actions/first-interaction from 2 to 3 (#3241)
• be50845 build(deps): bump actions/download-artifact from 4 to 5 (#3245)
• 17c84f0 build(deps): bump google-github-actions/auth from 2 to 3 (#3242)
• 7bd6ede build(deps): update regex requirement from <=2025.7.34,>=2021.9.24 to >=2021....
• 217ad7a build(deps): bump google-github-actions/setup-gcloud from 2 to 3 (#3239)
• 1a4e799 build(deps): bump coverage from 7.10.5 to 7.10.6 in /requirements (#3240)
• d2962e1 build(deps): update pandas requirement from <=2.3.1,>1.4.0 to >1.4.0,<=2.3.2 ...
• Additional commits viewable in compare view

You can trigger a rebase of this PR by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Note
Automatic rebases have been disabled on this pull request as it has been open for over 30 days.

[openshift-ci]

[APPROVALNOTIFIER] This PR is APPROVED

Approval requirements bypassed by manually added approval.

This pull-request has been approved by:

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files:

• OWNERS

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment