Catalyst Versions Save

[20.12] - 2020-12-20

Added

• CVS Logger (#1005)
• DrawMasksCallback (#999)
• (#1002)
  • a few docs
• (#998)
  • reciprocal_rank metric
  • unified recsys metrics preprocessing
• (#1018)
  • readme examples for all supported metrics under catalyst.metrics
  • wrap_metric_fn_with_activation for model outputs wrapping with activation
  • extra tests for metrics
• (#1039)
  • per_class=False option for metrics callbacks
  • PrecisionCallack, RecallCallack for multiclass problems
  • extra docs

Changed

• docs update (#1000)
• AMPOptimizerCallback and OptimizerCallback were merged (#1007)
• (#1017)
  • fixed bug in SchedulerCallback
  • Log LRs and momentums for all param groups, not only for the first one
• (#1002)
  • tensorboard, ipython, matplotlib, pandas, scikit-learn moved to optional requirements
  • PerplexityMetricCallback moved to catalyst.callbacks from catalyst.contrib.callbacks
  • PerplexityMetricCallback renamed to PerplexityCallback
  • catalyst.contrib.utils.confusion_matrix renamed to catalyst.contrib.utils.torch_extra
  • many parts of catalyst.data moved to catalyst.contrib.data
  • catalyst.data.scripts moved to catalyst.contrib.scripts
  • catalyst.utils, catalyst.data.utils and catalyst.contrib.utils restructured
  • ReaderSpec renamed to IReader
  • SupervisedExperiment renamed to AutoCallbackExperiment
• gain functions renamed for dcg/ndcg metrics (#998)
• (#1014)
  • requirements respecification: catalyst[cv], catalyst[dev], catalyst[log], catalyst[ml], catalyst[nlp],catalyst[tune]
  • settings respecification
  • extra tests for settings
  • contrib refactoring
• iou and dice metrics moved to per-class computation (#1031)

Removed

• (#1002)
  • KNNMetricCallback
  • sklearn mode for ConfusionMatrixLogger
  • catalyst.data.utils
  • unnecessary catalyst.tools.meters
  • todos for unnecessary docs
• (#1014)
  • transformers-based contrib (too unstable)
• (#1018)
  • ClasswiseIouCallback/ClasswiseJaccardCallback as deprecated on (should be refactored in future releases)

Fixed

• prevented modifying config during the experiment and runner initialization (#1004)
• a few test for RecSys MAP computation (#1018)
• leave batch size the same for default distributed training (#1023)
• (#1032)
  • Apex: now you can use apex for multiple models training
  • Apex: DataParallel is allowed for opt_level other than "O1"

[20.11] - 2020-11-12

Added

• DCG, nDCG metrics (#881)
• MAP calculations #968
• hitrate calculations [#975] (https://github.com/catalyst-team/catalyst/pull/975)
• extra functions for classification metrics (#966)
• OneOf and OneOfV2 batch transforms (#951)
• precision_recall_fbeta_support metric (#971)
• Pruning tutorial (#987)
• BatchPrefetchLoaderWrapper (#986)
• DynamicBalanceClassSampler (#954)

Changed

• update Catalyst version to 20.10.1 for tutorials (#967)
• added link to dl-course (#967)
• IRunner -> simplified IRunner (#984)
• docs were restructured (#985)
• set_global_seed moved from utils.seed to utils.misc (#986)

Removed

• several deprecated tutorials (#967)
• several deprecated func from utils.misc (#986)

Fixed

• BatchTransformCallback - add nn.Module transforms support (#951)
• moved to contiguous view for accuracy computation (#982)
• fixed torch warning on optimizer.py:140 (#979)

[20.10.1] - 2020-10-15

Added

• MRR metrics calculation (#886)
• docs for MetricCallbacks (#947)
• SoftMax, CosFace, ArcFace layers to contrib (#939)
• ArcMargin layer to contrib (#957)
• AdaCos to contrib (#958)
• Manual SWA to utils (#945)

Changed

• fixed path to CHANGELOG.md file and add information about unit test to PULL_REQUEST_TEMPLATE.md ([#955])(https://github.com/catalyst-team/catalyst/pull/955)
• catalyst-dl tune config specification - now optuna params are grouped under study_params (#947)
• IRunner._prepare_for_stage logic moved to IStageBasedRunner.prepare_for_stage (#947)
  • now we create components in the following order: datasets/loaders, model, criterion, optimizer, scheduler, callbacks
• MnistMLDataset and MnistQGDataset data split logic - now targets of the datasets are disjoint (#949)
• architecture redesign (#953)
  • experiments, runners, callbacks grouped by primitives under catalyst.experiments/catalyst.runners/catalyst.callbacks respectively
  • settings and typing moved from catalyst.tools.* to catalyst.*
  • utils moved from catalyst.*.utils to catalyst.utils
• swa moved to catalyst.utils (#963)

Removed

Fixed

• AMPOptimizerCallback - fix grad clip fn support (#948)
• removed deprecated docs types (#947) (#952)
• docs for a few files (#952)
• extra backward compatibility fixes (#963)

[20.09.1] - 2020-09-25

Added

• Runner registry support for Config API (#936)
• catalyst-dl tune command - Optuna with Config API integration for AutoML hyperparameters optimization (#937)
• OptunaPruningCallback alias for OptunaCallback (#937)
• AdamP and SGDP to catalyst.contrib.nn.criterion (#942)

Changed

• Config API components preparation logic moved to utils.prepare_config_api_components (#936)

Removed

Fixed

• Logging double logging :) (#936)
• CMCCallback (#941)

[20.09] - 2020-09-07

Added

• MovieLens dataset loader (#903)
• force and bert-level keywords to catalyst-data text2embedding (#917)
• OptunaCallback to catalyst.contrib (#915)
• DynamicQuantizationCallback and catalyst-dl quantize script for fast quantization of your model (#890)
• Multi-scheduler support for multi-optimizer case (#923)
• Native mixed-precision training support (#740)
• OptiomizerCallback - flag use_fast_zero_grad for faster (and hacky) version of optimizer.zero_grad() (#927)
• IOptiomizerCallback, ISchedulerCallback, ICheckpointCallback, ILoggerCallback as core abstractions for Callbacks (#933)
• flag USE_AMP for PyTorch AMP usage (#933)

Changed

• Pruning moved to catalyst.dl (#933)
• default USE_APEX changed to 0 (#933)

Removed

Fixed

• autoresume option for Config API (#907)
• a few issues with TF projector (#917)
• batch sampler speed issue (#921)
• add apex key-value optimizer support (#924)
• runtime warning for PyTorch 1.6 (920)
• Apex synbn usage (920)
• Catalyst dependency on system git (922)

[20.08] - 2020-08-09

Added

• CMCScoreCallback (#880)
• kornia augmentations BatchTransformCallback (#862)
• average_precision and mean_average_precision metrics (#883)
• MultiLabelAccuracyCallback, AveragePrecisionCallback and MeanAveragePrecisionCallback callbacks (#883)
• minimal examples for multiclass and multilabel classification (#883)
• experimental TPU support (#893)
• add Imagenette, Imagewoof, and Imagewang datasets (#902)
• IMetricCallback, IBatchMetricCallback, ILoaderMetricCallback, BatchMetricCallback, LoaderMetricCallback abstractions (#897)
• HardClusterSampler inbatch sampler (#888)

Changed

• all registries merged to one catalyst.registry (#883)
• mean_average_precision logic merged with average_precision (#897)
• all imports moved to absolute (#905)
• catalyst.contrib.data merged to catalyst.data (#905)
• {breaking} Catalyst transform ToTensor was renamed to ImageToTensor (#905)
• TracerCallback moved to catalyst.dl (#905)
• ControlFlowCallback, PeriodicLoaderCallback moved to catalyst.core (#905)

Removed

• average_accuracy and mean_average_accuracy metrics (#883)
• MultiMetricCallback abstraction (#897)

Fixed

• utils.tokenize_text typo with punctuation (#880)
• ControlFlowCallback logic (#892)
• docs (#897)

[20.07] - 2020-07-06

Added

• log parameter to WandbLogger (#836)
• hparams experiment property (#839)
• add docs build on push to master branch (#844)
• WrapperCallback and ControlFlowCallback (#842)
• BatchOverfitCallback (#869)
• overfit flag for Config API (#869)
• InBatchSamplers: AllTripletsSampler and HardTripletsSampler (#825)

Changed

• Renaming (#837)
  • SqueezeAndExcitation -> cSE
  • ChannelSqueezeAndSpatialExcitation -> sSE
  • ConcurrentSpatialAndChannelSqueezeAndChannelExcitation -> scSE
  • _MetricCallback -> IMetricCallback
  • dl.Experiment.process_loaders -> dl.Experiment._get_loaders
• LRUpdater become abstract class (#837)
• calculate_confusion_matrix_from_arrays changed params order (#837)
• dl.Runner.predict_loader uses _prepare_inner_state and cleans experiment (#863)
• toml to the dependencies (#872)

Removed

• crc32c dependency (#872)

Fixed

• workflows/deploy_push.yml failed to push some refs (#864)
• .dependabot/config.yml contained invalid details (#781)
• LanguageModelingDataset (#841)
• global_* counters in Runner (#858)
• EarlyStoppingCallback considers first epoch as bad (#854)
• annoying numpy warning (#860)
• PeriodicLoaderCallback overwrites best state (#867)
• OneCycleLRWithWarmup (#851)

[20.06] - 2020-06-04

Added

• Mergify (#831)
• PerplexityMetricCallback (#819)
• PeriodicLoaderRunnerCallback (#818)

Changed

• docs structure were updated during (#822)
• utils.process_components moved from utils.distributed to utils.components (#822)
• catalyst.core.state.State merged to catalyst.core.runner._Runner (#823) (backward compatibility included)
  • catalyst.core.callback.Callback now works directly with catalyst.core.runner._Runner
  • state_kwargs renamed to stage_kwargs

Removed

Fixed

• added missed dashes in docker perfixes (#828)

[20.05.1] - 2020-05-23

Added

• Circle loss implementation (#802)
• BatchBalanceSampler for metric learning and classification (#806)
• CheckpointCallback: new argument load_on_stage_start which accepts str and Dict[str, str] (#797)
• LanguageModelingDataset to catalyst[nlp] (#808)
• Extra counters for batches, loaders and epochs (#809)
• TracerCallback (#789)

Changed

• CheckpointCallback: additional logic for argument load_on_stage_end - accepts str and Dict[str, str] (#797)
• counters names for batches, loaders and epochs (#809)
• utils.trace_model: changed logic - runner argument was changed to predict_fn (#789)
• redesigned contrib.data and contrib.datasets (#820)
• catalyst.utils.meters moved to catalyst.tools (#820)
• catalyst.contrib.utils.tools.tensorboard moved to catalyst.contrib.tools (#820)

Removed

Fixed

• device selection fix for #798 (#815)
• batch size counting fix for #799 and #755 issues (#809)