Bump torchmetrics from 0.10.0 to 0.11.3

[dependabot[bot]]

Bumps torchmetrics from 0.10.0 to 0.11.3.

Release notes

Sourced from torchmetrics's releases.

Weekly patch release

[0.11.3] - 2023-02-28

Fixed

• Fixed classification metrics for byte input (#1521)
• Fixed the use of ignore_index in MulticlassJaccardIndex (#1386)

Contributors

@​SkafteNicki, @​vincentvaroquauxads

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

Full Changelog: https://github.com/Lightning-AI/metrics/compare/v0.11.2...v0.11.3

Minor patch release

[0.11.2] - 2023-02-21

Fixed

• Fixed compatibility between XLA in _bincount function (#1471)
• Fixed type hints in methods belonging to MetricTracker wrapper (#1472)
• Fixed multilabel in ExactMatch (#1474)

Contributors

@​7shoe, @​borda, @​SkafteNicki, @​ValerianRey

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

Full Changelog: https://github.com/Lightning-AI/metrics/compare/v0.11.1...v0.11.2

Minor patch release

[0.11.1] - 2023-01-30

Fixed

• Fixed type checking on the maximize parameter at the initialization of MetricTracker (#1428)
• Fixed mixed precision auto-cast for SSIM metric (#1454)
• Fixed checking for nltk.punkt in RougeScore if a machine is not online (#1456)
• Fixed wrongly reset method in MultioutputWrapper (#1460)
• Fixed dtype checking in PrecisionRecallCurve for target tensor (#1457)

Contributors

@​borda, @​SkafteNicki, @​stancld

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

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[0.11.3] - 2023-02-28

Fixed

• Fixed classification metrics for byte input (#1521)
• Fixed the use of ignore_index in MulticlassJaccardIndex (#1386)

[0.11.2] - 2023-02-21

Fixed

• Fixed compatibility between XLA in _bincount function (#1471)
• Fixed type hints in methods belonging to MetricTracker wrapper (#1472)
• Fixed multilabel in ExactMatch (#1474)

[0.11.1] - 2023-01-30

Fixed

• Fixed type checking on the maximize parameter at the initialization of MetricTracker (#1428)
• Fixed mixed precision autocast for SSIM metric (#1454)
• Fixed checking for nltk.punkt in RougeScore if a machine is not online (#1456)
• Fixed wrongly reset method in MultioutputWrapper (#1460)
• Fixed dtype checking in PrecisionRecallCurve for target tensor (#1457)

[0.11.0] - 2022-11-30

Added

• Added MulticlassExactMatch to classification metrics (#1343)
• Added TotalVariation to image package (#978)
• Added CLIPScore to new multimodal package (#1314)
• Added regression metrics:
  • KendallRankCorrCoef (#1271)
  • LogCoshError (#1316)
• Added new nominal metrics:
  • CramersV (#1298)
  • PearsonsContingencyCoefficient (#1334)
  • TschuprowsT (#1334)
  • TheilsU (#1337)
• Added option to pass distributed_available_fn to metrics to allow checks for custom communication backend for making dist_sync_fn actually useful (#1301)
• Added normalize argument to Inception, FID, KID metrics (#1246)

Changed

• Changed minimum Pytorch version to be 1.8 (#1263)
• Changed interface for all functional and modular classification metrics after refactor (#1252)

... (truncated)

Commits

• 825d17f releasing 0.11.3
• 482c6bd Fix ignore_index in jaccard index (#1386)
• cc0b82c corrects an infinitesimal typo in README.md (#1547)
• 6df637e fix ConfusionMatrix and StatScores for num_classes > 16 (#1521)
• 6cb74aa chlog: new section
• 7f5c0d6 ci: rename testing-guardian
• 6159c16 build(deps): update kornia requirement from <=0.6.9,>=0.6.7 to >=0.6.7,<0.6.1...
• 3e6191b build(deps): bump bert-score from 0.3.10 to 0.3.13 in /requirements (#1529)
• ed6c146 ci: guardian & pytorch 1.13.1 (#1534
• 6853c55 releasing 0.11.2
• Additional commits viewable in compare view

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