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pytorch_lightning.trainer.optimizers module¶

class pytorch_lightning.trainer.optimizers.TrainerOptimizersMixin[source]¶

Bases: abc.ABC

configure_schedulers(schedulers)[source]¶

init_optimizers(model)[source]¶

Return type: Tuple[List, List, List]

reinit_scheduler_properties(optimizers, schedulers)[source]¶

class pytorch_lightning.trainer.optimizers._MockOptimizer[source]¶

Bases: torch.optim.optimizer.Optimizer

The _MockOptimizer will be used inplace of an optimizer in the event that None is returned from configure_optimizers.

add_param_group(param_group)[source]¶

load_state_dict(state_dict)[source]¶

state_dict()[source]¶

step(closure=None)[source]¶

zero_grad()[source]¶