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build(deps): bump torchmetrics from 0.9.1 to 1.5.2 in /tests/e2e #757

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@dependabot dependabot bot commented on behalf of github Nov 8, 2024

Bumps torchmetrics from 0.9.1 to 1.5.2.

Release notes

Sourced from torchmetrics's releases.

Minor patch release

[1.5.2] - 2024-11-07

Changed

  • Re-adding numpy 2+ support (#2804)

Fixed

  • Fixed iou scores in detection for either empty predictions/targets leading to wrong scores (#2805)
  • Fixed MetricCollection compatibility with torch.jit.script (#2813)
  • Fixed assert in PIT (#2811)
  • Patched np.Inf for numpy 2.0+ (#2826)

Key Contributors

@​adamjstewart, @​Borda, @​SkafteNicki, @​StalkerShurik, @​yurithefury

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


Full Changelog: Lightning-AI/torchmetrics@v1.5.1...v1.5.2

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

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.5.2] - 2024-11-07

Changed

  • Re-adding numpy 2+ support (#2804)

Fixed

  • Fixed iou scores in detection for either empty predictions/targets leading to wrong scores (#2805)
  • Fixed MetricCollection compatibility with torch.jit.script (#2813)
  • Fixed assert in PIT (#2811)
  • Patched np.Inf for numpy 2.0+ (#2826)

[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)

[1.4.3] - 2024-10-10

... (truncated)

Commits
  • 6ddc05a releasing 1.5.2
  • 3163028 ci: bump integration test to 3.9+ & patch np.Inf (#2826)
  • 65a0828 build(deps): update onnxruntime requirement from <1.20,>=1.12.0 to >=1.12.0,<...
  • 5a6019c build(deps): bump torch from 2.5.0 to 2.5.1 in /requirements (#2824)
  • ad8e9e5 ci: bump deprecated mac 12 to 13 (#2820)
  • aeb4a5c build(deps): bump Lightning-AI/utilities from 0.11.7 to 0.11.8 (#2818)
  • f46e969 build(deps): bump pypa/gh-action-pypi-publish from 1.10.2 to 1.11.0 (#2817)
  • 9366256 tests: cleaning classif. (#2815)
  • 707eacf docs: specify directives (#2814)
  • fc610e1 Fix MetricCollection compatibility with torch.jit.script (#2813)
  • Additional commits viewable in compare view

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Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 0.9.1 to 1.5.2.
- [Release notes](https://github.com/Lightning-AI/torchmetrics/releases)
- [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md)
- [Commits](Lightning-AI/torchmetrics@v0.9.1...v1.5.2)

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

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependabot test-guided-notebooks Run PR check to verify Guided notebooks labels Nov 8, 2024
@codeflare-machine-account codeflare-machine-account added lgtm Indicates that a PR is ready to be merged. approved Indicates a PR has been approved by an approver from all required OWNERS files. labels Nov 8, 2024
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dependabot bot commented on behalf of github Nov 12, 2024

Superseded by #760.

@dependabot dependabot bot closed this Nov 12, 2024
@dependabot dependabot bot deleted the dependabot/pip/tests/e2e/torchmetrics-1.5.2 branch November 12, 2024 22:19
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