* Get experiment_id from MLFlow only once instead of each training loop.
* Apply suggestions from code review
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* add test that asserts mlflow client is called to retrieve experiment id only once
* make pep8 happy
* logs
Co-authored-by: Patrick Orlando <patrick.orlando@rea-group.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai>
* fix weights_save path and drop ckpt_path
* add tests
* unused import
* update docs
* changelog
* pep8
* fix horovod test
* make backward compatible
* perform same test for all loggers
* fix for when logger=False and weights_save_path is set
* update changelog
* update docs
* update tests
* do not set save dir dynamically
* remove duplicate test
* remove duplicated tests
* update tests
* update tests
* remove remaining ckpt_path references
* move defaults to init as suggested by @Borda
* test deprecation
* mlflow rework
* logger save_dir
* folder
* mlflow
* simplify
* fix test
* add a test for file dir contents
* new line
* changelog
* docs
* Update CHANGELOG.md
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
* test for comet logger
* improve mlflow checkpoint test
* prevent commet logger error on pytest exit
* test tensorboard save dir structure
* wandb save dir test
* skip test on windows
* add mlflow to pickle tests
* wandb
* code factor
* remove unused imports
* remove unused setter
* wandb mock
* wip mock
* wip mock
* wandb tests with mocking
* clean up
* clean up
* comments
* include wandblogger in test
* clean up
* missing argument
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Adrian Wälchli