Cyclic¶

class olympus.optimizers.schedules.cyclic.CyclicLR(optimizer, base_lr, max_lr, step_size_up, step_size_down, mode, base_momentum, max_momentum)[source]¶

Bases: olympus.optimizers.schedules.base.LRScheduleAdapter

Methods

`get_last_lr`()	Return last computed learning rate by current scheduler.
`load_state_dict`(state_dict)	Loads the schedulers state.
`print_lr`(is_verbose, group, lr[, epoch])	Display the current learning rate.
`state_dict`()	Returns the state of the scheduler as a `dict`.

defaults
epoch
get_lr
get_space
step

static defaults()[source]¶

epoch(epoch=None, metrics=None)[source]¶

static get_space()[source]¶

load_state_dict(state_dict)[source]¶

Loads the schedulers state.

Args:

state_dict (dict): scheduler state. Should be an object returned: from a call to state_dict().

state_dict()[source]¶

Returns the state of the scheduler as a dict.

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

step(step=None, metrics=None)[source]¶