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Bump torchmetrics from 1.4.3 to 1.5.1 in /requirements #2362

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@dependabot dependabot bot commented on behalf of github Oct 23, 2024

Bumps torchmetrics from 1.4.3 to 1.5.1.

Release notes

Sourced from torchmetrics's releases.

Minor compatibility patch

[1.5.1] - 2024-10-22

Fixed

  • Changing _modules dict type in Pytorch 2.5 preventing to fail collections metrics (#2793)

Key Contributors

@​bfolie

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


Full Changelog: Lightning-AI/torchmetrics@v1.5.0...v1.5.1

Shape metrics are quantitative methods used to assess and compare the geometric properties of objects, often in datasets that represent shapes. One such metric is the Procrustes Disparity, which measures the sum of the squared differences between two datasets after applying a Procrustes transformation. This transformation involves scaling, rotating, and translating the datasets to achieve optimal alignment. The Procrustes Disparity is particularly useful when comparing datasets that are similar in structure but not perfectly aligned, allowing for more meaningful comparison by minimizing differences due to orientation or size.

[1.5.0] - 2024-10-18

Added

  • Added segmentation metric HausdorffDistance (#2122)
  • Added audio metric DNSMOS (#2525)
  • Added shape metric ProcrustesDistance (#2723)
  • Added MetricInputTransformer wrapper (#2392)
  • Added input_format argument to segmentation metrics (#2572)
  • Added multi-output support for MAE metric (#2605)
  • Added truncation argument to BERTScore (#2776)

Changed

  • Tracker higher is better integration (#2649)
  • Updated InfoLM class to dynamically set higher_is_better (#2674)

Deprecated

  • Deprecated num_outputs in R2Score (#2705)

Fixed

  • Fixed corner case in IoU metric for single empty prediction tensors (#2780)
  • Fixed PSNR calculation for integer type input images (#2788)

Key Contributors

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.5.1] - 2024-10-22

Fixed

  • Changing _modules dict type in Pytorch 2.5 preventing to fail collections metrics (#2793)

[1.5.0] - 2024-10-18

Added

  • Added segmentation metric HausdorffDistance (#2122)
  • Added audio metric DNSMOS (#2525)
  • Added shape metric ProcrustesDistance (#2723
  • Added MetricInputTransformer wrapper (#2392)
  • Added input_format argument to segmentation metrics (#2572)
  • Added multi-output support for MAE metric (#2605)
  • Added truncation argument to BERTScore (#2776)

Changed

  • Tracker higher is better integration (#2649)
  • Updated InfoLM class to dynamically set higher_is_better (#2674)

Deprecated

  • Deprecated num_outputs in R2Score (#2705)

Fixed

  • Fixed corner case in IoU metric for single empty prediction tensors (#2780)
  • Fixed PSNR calculation for integer type input images (#2788)

Commits
  • 0a64b3f releasing 1.5.1
  • cdf5737 build(deps): bump lightning-utilities from 0.11.7 to 0.11.8 in /requirements ...
  • e63352d build(deps): update huggingface-hub requirement from <0.26 to <0.27 in /requi...
  • f1aad47 retain type of _modules when renaming keys (#2793)
  • 362e9c6 req: limit mecab-ko for python <3.12
  • 14d4694 bump: Torch 2.5.0 (#2790)
  • 67a337a chlog: new section & dev
  • a8e8337 releasing 1.5.0
  • 0fd1f96 Fix overflow for PSNR metric when used with uint8 input (#2788)
  • 6377aa5 docs: adding PESQ example to gallery (#2755)
  • Additional commits viewable in compare view

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Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 1.4.3 to 1.5.1.
- [Release notes](https://github.com/Lightning-AI/torchmetrics/releases)
- [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md)
- [Commits](Lightning-AI/torchmetrics@v1.4.3...v1.5.1)

---
updated-dependencies:
- dependency-name: torchmetrics
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Packaging and dependencies python Pull requests that update Python code labels Oct 23, 2024
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dependabot bot commented on behalf of github Oct 24, 2024

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@adamjstewart adamjstewart deleted the dependabot/pip/requirements/torchmetrics-1.5.1 branch October 24, 2024 08:02
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