Changelog

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

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[0.7.3] - 2023-05-17

[0.7.3] - Fixed

• Compatibility with newer PyTorch Benchmark version.

[0.7.2] - 2022-06-03

[0.7.2] - Added

• Version for protobuf during build.

• Conditional install of redis on win platforms

[0.7.1] - 2022-03-18

[0.7.1] - Fixed

• Device transfer in benchmark.

[0.7.0] - 2022-03-18

[0.7.0] - Added

• Defensive fallback for FLOPs measurement.

• Add MultiStepLR optimizers.

[0.7.0] - Changed

• Profiling to use pytorch_benchmark package.

[0.7.0] - Fixed

• WandB logger log_dir extraction.

[0.6.1] - 2022-02-07

[0.6.1] - Changed

• Profile only warms up on first inference.

[0.6.0] - 2022-01-27

[0.6.0] - Added

• Memory profiling.

[0.6.0] - Fixed

• Tune DeprecationWarning.

[0.5.1] - 2021-11-16

[0.5.1] - Added

• Add pred and target dict support in Lifecycle.

[0.5.1] - Fixed

• Avoid detaching loss in step.

[0.5.0] - 2021-11-12

[0.5.0] - Added

• Add preprocess_batch method to Lifecycle.

• Add option for string type in utils.name.

• Add Metric Selector.

[0.5.0] - Fixed

• Weight freezing during model loading.

• Fix discriminative_lr param selection for NoneType parameters.

• Fix wandb project naming during hparamsearch.

• Optimizer Schedulers take accumulate_grad_batches into account.

[0.5.0] - Changed

• Key debug statements while loading models to include both missing and unexpected keys.

• Bumped PL to version 1.4. Holding back on 1.5 due to Tune integration issues.

• Bumped Tune to version 1.8.

[0.4.6] - 2021-09-21

[0.4.6] - Fixed

• Update profile to use model.call. This enable non-forward executions during profiling.

• Add DefaultMethods Mixin with warm_up to make warm_up overloadable by Mixins.

[0.4.5] - 2021-09-08

[0.4.5] - Fixed

• Fix warm_up function signature.

• Requirement versions.

[0.4.4] - 2021-09-08

[0.4.4] - Added

• warm_up function that is called prior to profil .

[0.4.4] - Fixed

• Learning rate schedulers discounted steps.

[0.4.3] - 2021-06-03

[0.4.3] - Added

• Logging of layers that are unfrozen.

[0.4.3] - Fixed

• Cyclic learning rate schedulers now update on step.

[0.4.2] - 2021-06-02

[0.4.2] - Added

• Added explicit logging of model profiling results.

• Automatic assignment of hparams.num_gpus.

[0.4.2] - Fixed

• Finetune weight loading checks.

• Cyclic learning rate schedulers account for batch size.

[0.4.1] - 2021-05-27

[0.4.1] - Fixed

• Feature extraction on GPU.

[0.4.1] - Added

• Added explicit logging of hparams.

[0.4.0] - 2021-05-17

[0.4.0] - Fixed

• Pass args correctly to trainer during testing.

[0.4.0] - Changed

• CheckpointEveryNSteps now included in ModelCheckpoint c.f. pl==1.3.

• Import from torchmetrics instead of pl.metrics .

• Moved confusion matrix to RideClassificationDataset and updated plot.

[0.4.0] - Added

• Feature extraction and visualisation.

• Lifecycle and Finetuneable mixins always included via RideModule.

• Support for pytorch-lightning==1.3.

• Additional tests: Coverage is now at 92%.

[0.4.0] - Removed

• Support for nested inheritance of RideModule.

• Support for pytorch-lightning==1.2.

[0.3.2] - 2021-04-15

[0.3.2] - Fixed

• Project dependencies: removed click and added psutil to requirements.

• Logging: Save stdout and stderr to run.log.

[0.3.2] - Changed

• Logged results names. Flattened folder structure and streamlines names.

[0.3.2] - Added

• Docstrings to remaining core classes.

• Tests that logged results exists.

[0.3.1] - 2021-03-24

[0.3.1] - Added

• Add support for namedtuples in dataset input_shape and output_shape.

• Add tests for test_enemble.

• Expose more classes via from ride import XXX.

• Fix import-error in hparamsearch.

• Fix issues in metrics and add tests.

• Remove unused cache module.

[0.3.1] - Change

• Renamed Dataset to RideDataset.

[0.3.0] - 2021-03-24

[0.3.0] - Added

• Documentation for getting started, the Ride API, and a general API reference.

• Automatic import of SgdOptimizer.

[0.3.0] - Change

• Renamed Dataset to RideDataset.

[0.2.0] - 2021-03-23

[0.2.0] - Added

• Initial publicly available implementation of the library.