LRSchedulerBase

class fairseq2.optim.lr_scheduler.LRSchedulerBase(optimizer, last_epoch=-1, verbose=False)

Bases: ABC, _LRScheduler

Represents the abstract base class for learning rate schedulers.

get_last_lr()

Return last computed learning rate by current scheduler.

load_state_dict(state_dict)

Loads the schedulers state.

Args:

state_dict (dict): scheduler state. Should be an object returned

from a call to state_dict().

print_lr(is_verbose, group, lr, epoch=None)

Display the current learning rate.

state_dict()

Returns the state of the scheduler as a dict.

It contains an entry for every variable in self.__dict__ which is not the optimizer.