aiaccel.torch.lightning.callbacks.PrintUnusedParam

class aiaccel.torch.lightning.callbacks.PrintUnusedParam

Warn once when trainable parameters do not receive gradients.

__init__() → None

Methods

__init__()
load_state_dict(state_dict)	Called when loading a checkpoint, implement to reload callback state given callback's state_dict.
on_after_backward(trainer, pl_module)	Emit a warning for parameters that never collected gradients.
on_before_backward(trainer, pl_module, loss)	Called before loss.backward().
on_before_optimizer_step(trainer, pl_module, ...)	Called before optimizer.step().
on_before_zero_grad(trainer, pl_module, ...)	Called before optimizer.zero_grad().
on_exception(trainer, pl_module, exception)	Called when any trainer execution is interrupted by an exception.
on_fit_end(trainer, pl_module)	Called when fit ends.
on_fit_start(trainer, pl_module)	Called when fit begins.
on_load_checkpoint(trainer, pl_module, ...)	Called when loading a model checkpoint, use to reload state.
on_predict_batch_end(trainer, pl_module, ...)	Called when the predict batch ends.
on_predict_batch_start(trainer, pl_module, ...)	Called when the predict batch begins.
on_predict_end(trainer, pl_module)	Called when predict ends.
on_predict_epoch_end(trainer, pl_module)	Called when the predict epoch ends.
on_predict_epoch_start(trainer, pl_module)	Called when the predict epoch begins.
on_predict_start(trainer, pl_module)	Called when the predict begins.
on_sanity_check_end(trainer, pl_module)	Called when the validation sanity check ends.
on_sanity_check_start(trainer, pl_module)	Called when the validation sanity check starts.
on_save_checkpoint(trainer, pl_module, ...)	Called when saving a checkpoint to give you a chance to store anything else you might want to save.
on_test_batch_end(trainer, pl_module, ...[, ...])	Called when the test batch ends.
on_test_batch_start(trainer, pl_module, ...)	Called when the test batch begins.
on_test_end(trainer, pl_module)	Called when the test ends.
on_test_epoch_end(trainer, pl_module)	Called when the test epoch ends.
on_test_epoch_start(trainer, pl_module)	Called when the test epoch begins.
on_test_start(trainer, pl_module)	Called when the test begins.
on_train_batch_end(trainer, pl_module, ...)	Called when the train batch ends.
on_train_batch_start(trainer, pl_module, ...)	Called when the train batch begins.
on_train_end(trainer, pl_module)	Called when the train ends.
on_train_epoch_end(trainer, pl_module)	Called when the train epoch ends.
on_train_epoch_start(trainer, pl_module)	Called when the train epoch begins.
on_train_start(trainer, pl_module)	Called when the train begins.
on_validation_batch_end(trainer, pl_module, ...)	Called when the validation batch ends.
on_validation_batch_start(trainer, ...[, ...])	Called when the validation batch begins.
on_validation_end(trainer, pl_module)	Called when the validation loop ends.
on_validation_epoch_end(trainer, pl_module)	Called when the val epoch ends.
on_validation_epoch_start(trainer, pl_module)	Called when the val epoch begins.
on_validation_start(trainer, pl_module)	Called when the validation loop begins.
setup(trainer, pl_module, stage)	Called when fit, validate, test, predict, or tune begins.
state_dict()	Called when saving a checkpoint, implement to generate callback's state_dict.
teardown(trainer, pl_module, stage)	Called when fit, validate, test, predict, or tune ends.

Attributes

state_key

Identifier for the state of the callback.