v1.3.0

The template has been significantly refactored.

List of changes:

• Introduce multiple pipelines, to showcase example of how one can separate training from evaluation, run.py has been replaced by train.py and test.py
• The mode group config has been removed since it was confusing, now every run is treated as an experiment, and debugging is moved to a separate config group
• Introduce debug config group
• Introduce log_dir config group
• Move wandb callbacks to the branch wandb-callbacks to make template logger-agnostic
• Refactor rich config printing, now all config groups are always printed instead of just the pre-selected ones, but you can still decide on the print order
• Add nbstripout to pre-commit hooks, for automatic clearing of jupyter notebooks outputs before commit
• Update packages in requirements.txt and pre-commit-config.yaml to newest versions
• Remove some of the unimportant default optuna parameters in mnist_optuna.yaml and add more explanatory comments
• Remove no longer needed utilities from utils.extras()
• Add config flag for skipping training
• Fix hydra package versions in requirements.txt for mac compatibility
• Remove redundant parts in filenames: mnist_model.yaml -> mnist.yaml, mnist_datamodule.yaml -> datamodule.yaml
• Change mnist_model.py -> mnist_module.py and MNISTLitModel -> MNISTLitModule
• Rename folder modules/ to components/
• Change accelerator="ddp" to strategy="ddp" since it was depracated by lightning
• Remove trainer arguments depracated by lightning: weight summary and progress_bar_refresh_rate
• Specify black profile for isort inside .pre-commit-config.yaml just in case someone deletes the setup.cfg
• Specify testpath in setup.cfg so pytest knows all test files are placed only in tests/ folder
• Allow for using relative checkpoint paths
• Rename folder bash to scripts
• Introduce vendor dir as a "best practice" for storing third party code
• Introduce local config files in configs/local/, which can be used for storing machine/user specific configurations, e.g. configuration of slurm cluster
• Unify logging directories structure
• Add RichModelSummary to default callbacks
• Fix missing parameter in "Accessing datamodule attributes" trick in README.md
• General README.md improvements

Special thanks to: @nils-werner @charlesincharge @Steve-Tod
for their PRs.