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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[YY.MM.R] - YYYY-MM-DD

Added

  • MRR metrics calculation (#886)
  • docs for MetricCallbacks (#947)
  • SoftMax, CosFace, ArcFace layers to contrib (#939)

Changed

  • 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

Removed

Fixed

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

[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

  • 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 multi-class and milti-label 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)
  • handle empty loader in Runner (#873)

[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

[20.05] - 2020-05-07

Added

  • Added new docs and minimal examples (#747)
  • Added experiment to registry (#746)
  • Added examples with extra metrics (#750)
  • Added VAE example (#752)
  • Added gradient tracking (#679
  • Added dependabot (#771)
  • Added new test for Config API (#768)
  • Added Visdom logger (#769)
  • Added new github actions and templates (#777)
  • Added save_n_best=0 support for CheckpointCallback (#784)
  • Added new contrib modules for CV (#793)
  • Added new github actions CI (#791)

Changed

  • Changed Alchemy dependency (from alchemy-catalyst to alchemy) (#748)
  • Changed warnings logic (#719)
  • Github actions CI was updated (#754)
  • Changed default num_epochs to 1 for State (#756)
  • Changed state.batch_in/state.batch_out to state.input/state.output (#763)
  • Moved torchvision dependency from catalyst to catalyst[cv] (#738))

Removed

  • GanRunner removed to Catalyst.GAN (#760)
  • monitoring_params were removed (#760)

Fixed

  • Fixed docker dependencies ($753)
  • Fixed text2embeddding script (#722)
  • Fixed utils/sys exception (#762)
  • Returned detach method (#766)
  • Fixed timer division by zero (#749)
  • Fixed minimal torch version (#775)
  • Fixed segmentation tutorial (#778)
  • Fixed Dockerfile dependency (#780)

[20.04] - 2020-04-06

Added

Changed

Removed

Fixed

[YY.MM.R] - YYYY-MM-DD

Added

Changed

Removed

Fixed