82c19e1444
* Update LR schedulers only when their corresponding Optimizer is being used. In the case when optimizer frequencies are specified, the LR scheduler corresponding to a particular optimizer is updated only when that optimizer is being used in the training loop or epoch. * pep8speak fixes * Fix failing tests * Add docs * PR Feedback * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * formatting fix * PR Feedback - part 2 * More PR feedback * Apply suggestions from code review Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * Add typing imports * Stronger tests and fixes related to that * Add more tests plus PR feedback * Make optimizer_freq_cumsum a cached property @cached_property is only available after Python 3.8 so had to do it manually. * Fix tests * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Avoid mutable defaults * Parametrize lr scheduling tests * PR feedback * Apply suggestions from code review * spell * Apply suggestions from code review * flake8 Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com> |
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| .. | ||
| connectors | ||
| __init__.py | ||
| callback_hook.py | ||
| configuration_validator.py | ||
| data_loading.py | ||
| deprecated_api.py | ||
| evaluation_loop.py | ||
| ignored_warnings.py | ||
| logging.py | ||
| model_hooks.py | ||
| optimizers.py | ||
| predict_loop.py | ||
| properties.py | ||
| states.py | ||
| supporters.py | ||
| trainer.py | ||
| training_loop.py | ||
| training_tricks.py | ||