Update torchmetrics requirement from <1.7.3,>=1.0 to >=1.0,<1.7.4

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Updates the requirements on torchmetrics to permit the latest version.

Release notes

Sourced from torchmetrics's releases.

Minor patch release

[1.7.3] - 2025-06-13

Fixed

• Fixed: ensure WrapperMetric resets wrapped_metric state (#3123)
• Fixed top_k in multiclass_accuracy (#3117)
• Fixed compatibility to COCO format for pycocotools 2.0.10 (#3131)

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Key Contributors

@​rittik9

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Full Changelog: https://github.com/Lightning-AI/torchmetrics/compare/v1.7.2...v1.7.3

Changelog

Sourced from torchmetrics's changelog.

[1.7.3] - 2025-06-13

Fixed

• Fixed: Ensure WrapperMetric Resets wrapped_metric State (#3123)
• Fixed top_k in multiclass_accuracy (#3117)
• Fixed compatibility to COCO format for pycocotools 2.0.10 (#3131)

[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

... (truncated)

Commits

• 6e1b354 releasing 1.7.3
• 7dd8da0 fix: Add required info field to COCO format for pycocotools 2.0.10 compat...
• 290e14d build(deps): update pandas requirement from <=2.2.3,>1.4.0 to >1.4.0,<=2.3.0 ...
• 5f8885a Update plot examples in docs to use JensenShannonDivergence instead of KL (...
• ec28f14 Fix top_k in multiclass_accuracy (#3117)
• 16d9233 build(deps): bump torch from 2.7.0 to 2.7.1 in /requirements (#3126)
• 5dfaf6c Fix: Ensure WrapperMetric Resets wrapped_metric State (#3123)
• cb56be3 Corrected formula for negative predictive value (#3124)
• 20a90cc Fix _check_reg_targets function call signature for sklearn>=1.7 (#3129)
• b6c6c88 bump: PyTorch to be latest 2.7.1 (#3121)
• Additional commits viewable in compare view

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