Changelog

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

The format is based on Keep a Changelog.

[0.1.8] - 2022-07-13

[0.1.8] - Added

• enhanced support and testing for lr schedulers with lr_lambdas attributes

• accept and automatically convert schedules with non-integer phase keys (that are convertible to integers) to integers

[0.1.8] - Fixed

• pinned jsonargparse to be <= 4.10.1 due to regression with PTL cli with 4.10.2

[0.1.8] - Changed

• updated PL links for new lightning-ai github urls

• added a minimum hydra requirement for cli usage (due to omegaconf version incompatibility)

• separated cli requirements

• replace closed compound instances of finetuning with the hyphenated compound version fine-tuning in textual contexts. (The way language evolves, fine-tuning will eventually become finetuning but it seems like the research community prefers the hyphenated form for now.)

• update fine-tuning scheduler logo for hyphenation

• update strategy resolution in test helper module runif

[0.1.8] - Deprecated

[0.1.7] - 2022-06-10

[0.1.7] - Fixed

• bump omegaconf version requirement in examples reqs (in addition to extra reqs) due to omegaconf bug

[0.1.7] - Added

[0.1.7] - Changed

[0.1.7] - Deprecated

[0.1.6] - 2022-06-10

[0.1.6] - Added

• Enable use of untested strategies with new flag and user warning

• Update various dependency minimum versions

• Minor example logging update

[0.1.6] - Fixed

• minor privacy policy link update

• bump omegaconf version requirement due to omegaconf bug

[0.1.6] - Changed

[0.1.6] - Deprecated

[0.1.5] - 2022-06-02

[0.1.5] - Added

• Bumped latest tested PL patch version to 1.6.4

• Added basic notebook-based example tests a new ipynb-specific extra

• Updated docker definitions

• Extended multi-gpu testing to include both oldest and latest supported PyTorch versions

• Enhanced requirements parsing functionality

[0.1.5] - Fixed

• cleaned up acknowledged warnings in multi-gpu example testing

[0.1.5] - Changed

[0.1.5] - Deprecated

[0.1.4] - 2022-05-24

[0.1.4] - Added

• Added LR scheduler reinitialization functionality (#2)

• Added advanced usage documentation

• Added advanced scheduling examples

• added notebook-based tutorial link

• enhanced cli-based example hparam logging among other code clarifications

[0.1.4] - Changed

[0.1.4] - Fixed

• addressed URI length limit for custom badge

• allow new deberta fast tokenizer conversion warning for transformers >= 4.19

[0.1.4] - Deprecated

[0.1.3] - 2022-05-04

[0.1.3] - Added

[0.1.3] - Changed

• bumped latest tested PL patch version to 1.6.3

[0.1.3] - Fixed

[0.1.3] - Deprecated

[0.1.2] - 2022-04-27

[0.1.2] - Added

• added multiple badges (docker, conda, zenodo)

• added build status matrix to readme

[0.1.2] - Changed

• bumped latest tested PL patch version to 1.6.2

• updated citation cff configuration to include all version metadata

• removed tag-based trigger for azure-pipelines multi-gpu job

[0.1.2] - Fixed

[0.1.2] - Deprecated

[0.1.1] - 2022-04-15

[0.1.1] - Added

• added conda-forge package

• added docker release and pypi workflows

• additional badges for readme, testing enhancements for oldest/newest pl patch versions

[0.1.1] - Changed

• bumped latest tested PL patch version to 1.6.1, CLI example depends on PL logger fix (#12609)

[0.1.1] - Deprecated

[0.1.1] - Fixed

• Addressed version prefix issue with readme transformation for pypi

[0.1.0] - 2022-04-07

[0.1.0] - Added

• None (initial release)

[0.1.0] - Changed

• None (initial release)

[0.1.0] - Deprecated

• None (initial release)

[0.1.0] - Fixed

• None (initial release)