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atong01 / conditional-flow-matching

TorchCFM: a Conditional Flow Matching library
https://arxiv.org/abs/2302.00482
MIT License
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Bump torchmetrics from 0.11.0 to 1.3.0 #98

Closed dependabot[bot] closed 5 months ago

dependabot[bot] commented 5 months ago

Bumps torchmetrics from 0.11.0 to 1.3.0.

Release notes

Sourced from torchmetrics's releases.

New Image metrics & wrappers

[1.3.0] - 2024-01-10

Added

  • Added more tokenizers for SacreBLEU metric (#2068)
  • Added support for logging MultiTaskWrapper directly with lightnings log_dict method (#2213)
  • Added FeatureShare wrapper to share submodules containing feature extractors between metrics (#2120)
  • Added new metrics to image domain:
    • SpatialDistortionIndex (#2260)
    • Added CriticalSuccessIndex (#2257)
    • Spatial Correlation Coefficient (#2248)
  • Added average argument to multiclass versions of PrecisionRecallCurve and ROC (#2084)
  • Added confidence scores when extended_summary=True in MeanAveragePrecision (#2212)
  • Added RetrievalAUROC metric (#2251)
  • Added aggregate argument to retrieval metrics (#2220)
  • Added utility functions in segmentation.utils for future segmentation metrics (#2105)

Changed

  • Changed minimum supported Pytorch version from 1.8 to 1.10 (#2145)
  • Changed x-/y-axis order for PrecisionRecallCurve to be consistent with scikit-learn (#2183)

Deprecated

  • Deprecated metric._update_called (#2141)
  • Deprecated specicity_at_sensitivity in favour of specificity_at_sensitivity (#2199)

Fixed

  • Fixed support for half precision + CPU in metrics requiring topk operator (#2252)
  • Fixed warning incorrectly being raised in Running metrics (#2256)
  • Fixed integration with custom feature extractor in FID metric (#2277)

Full Changelog: https://github.com/Lightning-AI/torchmetrics/compare/v1.2.0...v1.3.0

Key Contributors

@​Borda, @​HoseinAkbarzadeh, @​matsumotosan, @​miskfi, @​oguz-hanoglu, @​SkafteNicki, @​stancld, @​ywchan2005

New Contributors

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.3.0] - 2024-01-10

Added

  • Added more tokenizers for SacreBLEU metric (#2068)
  • Added support for logging MultiTaskWrapper directly with lightnings log_dict method (#2213)
  • Added FeatureShare wrapper to share submodules containing feature extractors between metrics (#2120)
  • Added new metrics to image domain:
    • SpatialDistortionIndex (#2260)
    • Added CriticalSuccessIndex (#2257)
    • Spatial Correlation Coefficient (#2248)
  • Added average argument to multiclass versions of PrecisionRecallCurve and ROC (#2084)
  • Added confidence scores when extended_summary=True in MeanAveragePrecision (#2212)
  • Added RetrievalAUROC metric (#2251)
  • Added aggregate argument to retrieval metrics (#2220)
  • Added utility functions in segmentation.utils for future segmentation metrics (#2105)

Changed

  • Changed minimum supported Pytorch version from 1.8 to 1.10 (#2145)
  • Changed x-/y-axis order for PrecisionRecallCurve to be consistent with scikit-learn (#2183)

Deprecated

  • Deprecated metric._update_called (#2141)
  • Deprecated specicity_at_sensitivity in favour of specificity_at_sensitivity (#2199)

Fixed

  • Fixed support for half precision + CPU in metrics requiring topk operator (#2252)
  • Fixed warning incorrectly being raised in Running metrics (#2256)
  • Fixed integration with custom feature extractor in FID metric (#2277)

[1.2.1] - 2023-11-30

Added

  • Added error if NoTrainInceptionV3 is being initialized without torch-fidelity not being installed (#2143)
  • Added support for Pytorch v2.1 (#2142)

Changed

  • Change default state of SpectralAngleMapper and UniversalImageQualityIndex to be tensors (#2089)
  • Use arange and repeat for deterministic bincount (#2184)

Removed

  • Removed unused lpips third-party package as dependency of LearnedPerceptualImagePatchSimilarity metric (#2230)

... (truncated)

Commits
  • 80a7b68 releasing 1.3.0
  • daefd07 ci: fix upload package
  • 797fdb8 ci: fix deploy docs
  • bb5c28f precommit: fix black with latest
  • f75c867 build(deps): bump torch from 2.1.1 to 2.1.2 in /requirements (#2302)
  • 53cc76c build(deps): bump actions/upload-artifact from 3 to 4 (#2299)
  • f69ea6d build(deps): bump Lightning-AI/utilities from 0.10.0 to 0.10.1 (#2297)
  • 1343f72 build(deps): update huggingface-hub requirement from <0.20 to <0.21 in /requi...
  • 103731d build(deps): bump coverage from 7.3.4 to 7.4.0 in /requirements (#2291)
  • a3814b5 build(deps): update kornia requirement from <0.7.1,>=0.6.7 to >=0.6.7,<0.7.2 ...
  • Additional commits viewable in compare view


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codecov[bot] commented 5 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (3f9d813) 35.92% compared to head (d2548f1) 45.26%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #98 +/- ## ========================================== + Coverage 35.92% 45.26% +9.34% ========================================== Files 67 12 -55 Lines 7399 1131 -6268 ========================================== - Hits 2658 512 -2146 + Misses 4741 619 -4122 ```

:umbrella: View full report in Codecov by Sentry.
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dependabot[bot] commented 5 months ago

Superseded by #104.