NoRegularizer

class NoRegularizer(weight=1.0, apply_only_once=False, parameters=None)[source]

Bases: Regularizer

A regularizer which does not perform any regularization.

Used to simplify code.

Instantiate the regularizer.

Parameters
  • weight (float) – The relative weight of the regularization

  • apply_only_once (bool) – Should the regularization be applied more than once after reset?

  • parameters (Optional[Iterable[Parameter]]) – Specific parameters to track. if none given, it’s expected that your model automatically delegates to the update() function.

Attributes Summary

hpo_default

The default strategy for optimizing the no-op regularizer's hyper-parameters

Methods Summary

forward(x)

Compute the regularization term for one tensor.

update(*tensors)

Update the regularization term based on passed tensors.

Attributes Documentation

hpo_default: ClassVar[Mapping[str, Any]] = {}

The default strategy for optimizing the no-op regularizer’s hyper-parameters

Methods Documentation

forward(x)[source]

Compute the regularization term for one tensor.

Return type

FloatTensor

Parameters

x (FloatTensor) –

update(*tensors)[source]

Update the regularization term based on passed tensors.

Return type

None

Parameters

tensors (FloatTensor) –