build(deps): update torchmetrics requirement from <0.12.0,>=0.10.0 to >=0.10.0,<1.2.0 in /requirements

[dependabot]

Updates the requirements on torchmetrics to permit the latest version.

Release notes

Sourced from torchmetrics's releases.

Into Generative AI

In version v1.1 of Torchmetrics, in total five new metrics have been added, bringing the total number of metrics up to 128! In particular, we have two new exciting metrics for evaluating your favorite generative models for images.

Perceptual Path length

Introduced in the famous StyleGAN paper back in 2018 the Perceptual path length metric is used to quantify how smoothly a generator manages to interpolate between points in its latent space. Why does the smoothness of the latent space of your generative model matter? Assume you find an image at some point in your latent space that generates an image you like, but you would like to see if you could find a better one if you slightly change the latent point it was generated from. If your latent space could be smoother, this because very hard because even small changes to the latent point can lead to large changes in the generated image.

CLIP image quality assessment

CLIP image quality assessment (CLIPIQA) is a very recently proposed metric in this paper. The metrics build on the OpenAI CLIP model, which is a multi-modal model for connecting text and images. The core idea behind the metric is that different properties of an image can be assessed by measuring how similar the CLIP embedding of the image is to the respective CLIP embedding of a positive and negative prompt for that given property.

VIF, Edit, and SA-SDR

• VisualInformationFidelity has been added to the image package. The first proposed in this paper can be used to automatically assess the quality of images in a perceptual manner.

• EditDistance have been added to the text package. A very classical metric for text that simply measures the amount of characters that need to be substituted, inserted, or deleted, to transform the predicted text into the reference text.

• SourceAggregatedSignalDistortionRatio has been added to the audio package. Metric was originally proposed in this paper and is an improvement over the classical Signal-to-Distortion Ratio (SDR) metric (also found in torchmetrics) that provides more stable gradients during training when trying to train models for style source separation.

[1.1.0] - 2022-08-22

Added

• Added source aggregated signal-to-distortion ratio (SA-SDR) metric (#1882
• Added VisualInformationFidelity to image package (#1830)
• Added EditDistance to text package (#1906)
• Added top_k argument to RetrievalMRR in retrieval package (#1961)
• Added support for evaluating "segm" and "bbox" detection in MeanAveragePrecision at the same time (#1928)
• Added PerceptualPathLength to image package (#1939)
• Added support for multioutput evaluation in MeanSquaredError (#1937)
• Added argument extended_summary to MeanAveragePrecision such that precision, recall, iou can be easily returned (#1983)
• Added warning to ClipScore if long captions are detected and truncate (#2001)
• Added CLIPImageQualityAssessment to multimodal package (#1931)
• Added new property metric_state to all metrics for users to investigate currently stored tensors in memory (#2006)

Full Changelog: Lightning-AI/torchmetrics@v1.0.0...v1.1.0

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New Contributors since v1.0.0

• @​fansuregrin made their first contribution in Lightning-AI/torchmetrics#1892
• @​salcc made their first contribution in Lightning-AI/torchmetrics#1934
• @​IanMaquignaz made their first contribution in Lightning-AI/torchmetrics#1943
• @​kn made their first contribution in Lightning-AI/torchmetrics#1955
• @​Vivswan made their first contribution in Lightning-AI/torchmetrics#1982
• @​njuaplusplus made their first contribution in Lightning-AI/torchmetrics#1986

Contributors

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

[1.1.0] - 2023-08-22

Added

• Added source aggregated signal-to-distortion ratio (SA-SDR) metric (#1882
• Added VisualInformationFidelity to image package (#1830)
• Added EditDistance to text package (#1906)
• Added top_k argument to RetrievalMRR in retrieval package (#1961)
• Added support for evaluating "segm" and "bbox" detection in MeanAveragePrecision at the same time (#1928)
• Added PerceptualPathLength to image package (#1939)
• Added support for multioutput evaluation in MeanSquaredError (#1937)
• Added argument extended_summary to MeanAveragePrecision such that precision, recall, iou can be easily returned (#1983)
• Added warning to ClipScore if long captions are detected and truncate (#2001)
• Added CLIPImageQualityAssessment to multimodal package (#1931)
• Added new property metric_state to all metrics for users to investigate currently stored tensors in memory (#2006)

[1.0.3] - 2023-08-08

Added

• Added warning to MeanAveragePrecision if too many detections are observed (#1978)

Fixed

• Fix support for int input for when multidim_average="samplewise" in classification metrics (#1977)
• Fixed x/y labels when plotting confusion matrices (#1976)
• Fixed IOU compute in cuda (#1982)

[1.0.2] - 2023-08-02

Added

• Added warning to PearsonCorrCoeff if input has a very small variance for its given dtype (#1926)

Changed

• Changed all non-task specific classification metrics to be true subtypes of Metric (#1963)

Fixed

• Fixed bug in CalibrationError where calculations for double precision input was performed in float precision (#1919)
• Fixed bug related to the prefix/postfix arguments in MetricCollection and ClasswiseWrapper being duplicated (#1918)
• Fixed missing AUC score when plotting classification metrics that support the score argument (#1948)

[1.0.1] - 2023-07-13

Fixed

... (truncated)

Commits

• 99d6d9d releasing 1.1.0
• 09fccca Use lightning utils apply_to_collection (#2013)
• 928fbfc ci: merge general checks | v0.9.0
• a8afb51 ci: check links in all MD files (#2012)
• 641a4c4 ci: docs check skipp draft
• 5361536 pypi download badge
• bc8e016 Docs on memory management (#2006)
• 465481c build(deps): update regex requirement from <=2023.6.3,>=2021.9.24 to >=2021.9...
• 61377c9 build(deps): bump coverage from 7.2.7 to 7.3.0 in /requirements (#2011)
• a3eebd7 build(deps): bump mypy from 1.5.0 to 1.5.1 in /requirements (#2010)
• Additional commits viewable in compare view

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📚 Documentation preview 📚: https://lightning-bolts--1065.org.readthedocs.build/en/1065/

[dependabot]

Superseded by #1072.