From 04684b98313f3cbc21560416628dbb7484f15c46 Mon Sep 17 00:00:00 2001 From: Jirka Date: Wed, 10 Jan 2024 22:00:35 +0100 Subject: [PATCH] releasing `1.3.0` --- CHANGELOG.md | 75 ++++++++++++++--------------------- src/torchmetrics/__about__.py | 2 +- 2 files changed, 30 insertions(+), 47 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index afb32ac9dc7..b6c78c535f9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,74 +6,42 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 **Note: we move fast, but still we preserve 0.1 version (one feature release) back compatibility.** -## [UnReleased] - 2023-MM-DD +--- -### Added - -- Added utility functions in `segmentation.utils` for future segmentation metrics ([#2105](https://github.com/Lightning-AI/torchmetrics/pull/2105)) +## [1.3.0] - 2024-01-10 +### Added - Added more tokenizers for `SacreBLEU` metric ([#2068](https://github.com/Lightning-AI/torchmetrics/pull/2068)) - - -- Added `average` argument to multiclass versions of `PrecisionRecallCurve` and `ROC` ([#2084](https://github.com/Lightning-AI/torchmetrics/pull/2084)) - - -- Added confidence scores when `extended_summary=True` in `MeanAveragePrecision` ([#2212](https://github.com/Lightning-AI/torchmetrics/pull/2212)) - - - Added support for logging `MultiTaskWrapper` directly with lightnings `log_dict` method ([#2213](https://github.com/Lightning-AI/torchmetrics/pull/2213)) - - -- Added `aggregate` argument to retrieval metrics ([#2220](https://github.com/Lightning-AI/torchmetrics/pull/2220)) - - - Added `FeatureShare` wrapper to share submodules containing feature extractors between metrics ([#2120](https://github.com/Lightning-AI/torchmetrics/pull/2120)) - - -- Added `SpatialDistortionIndex` metric to image domain ([#2260](https://github.com/Lightning-AI/torchmetrics/pull/2260)) - - -- Added `CriticalSuccessIndex` metric to image subpackage ([#2257](https://github.com/Lightning-AI/torchmetrics/pull/2257)) - - -- Added `Spatial Correlation Coefficient` to image subpackage ([#2248](https://github.com/Lightning-AI/torchmetrics/pull/2248)) - - +- Added new metrics to image domain: + * `SpatialDistortionIndex` ([#2260](https://github.com/Lightning-AI/torchmetrics/pull/2260)) + * Added `CriticalSuccessIndex` ([#2257](https://github.com/Lightning-AI/torchmetrics/pull/2257)) + * `Spatial Correlation Coefficient` ([#2248](https://github.com/Lightning-AI/torchmetrics/pull/2248)) +- Added `average` argument to multiclass versions of `PrecisionRecallCurve` and `ROC` ([#2084](https://github.com/Lightning-AI/torchmetrics/pull/2084)) +- Added confidence scores when `extended_summary=True` in `MeanAveragePrecision` ([#2212](https://github.com/Lightning-AI/torchmetrics/pull/2212)) - Added `RetrievalAUROC` metric ([#2251](https://github.com/Lightning-AI/torchmetrics/pull/2251)) - +- Added `aggregate` argument to retrieval metrics ([#2220](https://github.com/Lightning-AI/torchmetrics/pull/2220)) +- Added utility functions in `segmentation.utils` for future segmentation metrics ([#2105](https://github.com/Lightning-AI/torchmetrics/pull/2105)) ### Changed - Changed minimum supported Pytorch version from 1.8 to 1.10 ([#2145](https://github.com/Lightning-AI/torchmetrics/pull/2145)) - - - Changed x-/y-axis order for `PrecisionRecallCurve` to be consistent with scikit-learn ([#2183](https://github.com/Lightning-AI/torchmetrics/pull/2183)) - ### Deprecated - Deprecated `metric._update_called` ([#2141](https://github.com/Lightning-AI/torchmetrics/pull/2141)) - - - Deprecated `specicity_at_sensitivity` in favour of `specificity_at_sensitivity` ([#2199](https://github.com/Lightning-AI/torchmetrics/pull/2199)) - -### Removed - -- - - ### Fixed - Fixed support for half precision + CPU in metrics requiring topk operator ([#2252](https://github.com/Lightning-AI/torchmetrics/pull/2252)) - - - Fixed warning incorrectly being raised in `Running` metrics ([#2256](https://github.com/Lightning-AI/torchmetrics/pull/2265)) - - - Fixed integration with custom feature extractor in `FID` metric ([#2277](https://github.com/Lightning-AI/torchmetrics/pull/2277)) +--- ## [1.2.1] - 2023-11-30 @@ -102,6 +70,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed bug in `CosineSimilarity` where 2d is expected but 1d input was given ([#2241](https://github.com/Lightning-AI/torchmetrics/pull/2241)) - Fixed bug in `MetricCollection` when using compute groups and `compute` is called more than once ([#2211](https://github.com/Lightning-AI/torchmetrics/pull/2211)) + ## [1.2.0] - 2023-09-22 ### Added @@ -121,6 +90,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - `DaviesBouldinScore` ([#2071](https://github.com/Lightning-AI/torchmetrics/pull/2071)) - Added `backend` argument to `MeanAveragePrecision` ([#2034](https://github.com/Lightning-AI/torchmetrics/pull/2034)) +--- ## [1.1.2] - 2023-09-11 @@ -164,6 +134,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Added `CLIPImageQualityAssessment` to multimodal package ([#1931](https://github.com/Lightning-AI/torchmetrics/pull/1931)) - Added new property `metric_state` to all metrics for users to investigate currently stored tensors in memory ([#2006](https://github.com/Lightning-AI/torchmetrics/pull/2006)) +--- ## [1.0.3] - 2023-08-08 @@ -325,6 +296,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed number of bugs related to `average="macro"` in classification metrics ([#1821](https://github.com/Lightning-AI/torchmetrics/pull/1821)) - Fixed off-by-one issue when `ignore_index = num_classes + 1` in Multiclass-jaccard ([#1860](https://github.com/Lightning-AI/torchmetrics/pull/1860)) +--- ## [0.11.4] - 2023-03-10 @@ -398,6 +370,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed precision bug in `pairwise_euclidean_distance` ([#1352](https://github.com/Lightning-AI/metrics/pull/1352)) +--- + ## [0.10.3] - 2022-11-16 ### Fixed @@ -482,6 +456,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed bug in `ClasswiseWrapper` such that `compute` gave wrong result ([#1225](https://github.com/Lightning-AI/metrics/pull/1225)) - Fixed synchronization of empty list states ([#1219](https://github.com/Lightning-AI/metrics/pull/1219)) +--- ## [0.9.3] - 2022-08-22 @@ -561,6 +536,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed default value for `mdmc_average` in `Accuracy` ([#1036](https://github.com/Lightning-AI/metrics/pull/1036)) - Fixed missing copy of property when using compute groups in `MetricCollection` ([#1052](https://github.com/Lightning-AI/metrics/pull/1052)) +--- ## [0.8.2] - 2022-05-06 @@ -609,7 +585,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Added `reset_real_features` argument image quality assessment metrics ([#722](https://github.com/Lightning-AI/metrics/pull/722)) - Added new keyword argument `compute_on_cpu` to all metrics ([#867](https://github.com/Lightning-AI/metrics/pull/867)) - ### Changed - Made `num_classes` in `jaccard_index` a required argument ([#853](https://github.com/Lightning-AI/metrics/pull/853), [#914](https://github.com/Lightning-AI/metrics/pull/914)) @@ -657,6 +632,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed `BestScore` on GPU ([#912](https://github.com/Lightning-AI/metrics/pull/912)) - Fixed Lsum computation for `ROUGEScore` ([#944](https://github.com/Lightning-AI/metrics/pull/944)) +--- ## [0.7.3] - 2022-03-23 @@ -776,6 +752,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed MetricCollection kwargs filtering when no `kwargs` are present in update signature ([#707](https://github.com/Lightning-AI/metrics/pull/707)) +--- ## [0.6.2] - 2021-12-15 @@ -853,6 +830,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed `SSIM` metric using too much memory ([#539](https://github.com/Lightning-AI/metrics/pull/539)) - Fixed bug where `device` property was not properly update when metric was a child of a module (#542) +--- + ## [0.5.1] - 2021-08-30 ### Added @@ -930,6 +909,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed that `_forward_cache` and `_computed` attributes are also moved to the correct device if metric is moved ([#413](https://github.com/Lightning-AI/metrics/pull/413)) - Fixed calculation in `IoU` metric when using `ignore_index` argument ([#328](https://github.com/Lightning-AI/metrics/pull/328)) +--- ## [0.4.1] - 2021-07-05 @@ -993,6 +973,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed `dtype` of modular metrics after reset has been called ([#243](https://github.com/Lightning-AI/metrics/pull/243)) - Fixed calculation in `matthews_corrcoef` to correctly match formula ([#321](https://github.com/Lightning-AI/metrics/pull/321)) +--- + ## [0.3.2] - 2021-05-10 ### Added @@ -1084,6 +1066,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Fixed to Blau score ([#165](https://github.com/Lightning-AI/metrics/pull/165)) - Fixed backwards compatibility for logging with older version of pytorch-lightning ([#182](https://github.com/Lightning-AI/metrics/pull/182)) +--- ## [0.2.0] - 2021-03-12 @@ -1099,7 +1082,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Removed deprecated metrics from PL base ([#12](https://github.com/Lightning-AI/metrics/pull/12), [#15](https://github.com/Lightning-AI/metrics/pull/15)) - +--- ## [0.1.0] - 2021-02-22 diff --git a/src/torchmetrics/__about__.py b/src/torchmetrics/__about__.py index cef6654df87..fb06546ad0c 100644 --- a/src/torchmetrics/__about__.py +++ b/src/torchmetrics/__about__.py @@ -1,4 +1,4 @@ -__version__ = "1.3.0dev" +__version__ = "1.3.0" __author__ = "Lightning-AI et al." __author_email__ = "name@pytorchlightning.ai" __license__ = "Apache-2.0"