releasing 1.3.1

Author: Borda

CHANGELOG.md

@@ -8,46 +8,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
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-## [UnReleased] - 2024-MM-DD
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-### Added
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-### Changed
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-### Deprecated
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+## [1.3.1] - 2024-02-12
 
 ### Fixed
 
 - Fixed how backprop is handled in `LPIPS` metric ([#2326](https://github.com/Lightning-AI/torchmetrics/pull/2326))
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 - Fixed `MultitaskWrapper` not being able to be logged in lightning when using metric collections ([#2349](https://github.com/Lightning-AI/torchmetrics/pull/2349))
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 - Fixed high memory consumption in `Perplexity` metric ([#2346](https://github.com/Lightning-AI/torchmetrics/pull/2346))
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 - Fixed cached network in `FeatureShare` not being moved to the correct device ([#2348](https://github.com/Lightning-AI/torchmetrics/pull/2348))
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 - Fix naming of statistics in `MeanAveragePrecision` with custom max det thresholds ([#2367](https://github.com/Lightning-AI/torchmetrics/pull/2367))
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 - Fixed custom aggregation in retrieval metrics ([#2364](https://github.com/Lightning-AI/torchmetrics/pull/2364))
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 - Fixed initialize aggregation metrics with default floating type ([#2366](https://github.com/Lightning-AI/torchmetrics/pull/2366))
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 - Fixed plotting of confusion matrices ([#2358](https://github.com/Lightning-AI/torchmetrics/pull/2358))
 
 

src/torchmetrics/__about__.py

@@ -1,4 +1,4 @@
-__version__ = "1.3.0.post0"
+__version__ = "1.3.1"
 __author__ = "Lightning-AI et al."
 __author_email__ = "name@pytorchlightning.ai"
 __license__ = "Apache-2.0"