LRScheduler

class torch.optim.lr_scheduler.LRScheduler(optimizer, last_epoch=-1)

Adjusts the learning rate during optimization.

get_last_lr()

Return last computed learning rate by current scheduler.

Return type

list[float]

get_lr()

Compute learning rate using chainable form of the scheduler.

Return type

list[float]

load_state_dict(state_dict)

Load the scheduler’s state.

Parameters

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

state_dict()

Return the state of the scheduler as a dict.

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

Return type

dict[str, Any]

step(epoch=None)

Perform a step.