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 versionfine-tuning
in textual contexts. (The way language evolves,fine-tuning
will eventually becomefinetuning
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)