LpRegularizer

class LpRegularizer(*, weight=1.0, apply_only_once=False, dim=-1, normalize=False, p=2.0, **kwargs)[source]

A simple L_p norm based regularizer.

Initialize 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?
dim (Optional[int]) – the dimension along which to calculate the Lp norm, cf. lp_norm()
normalize (bool) – whether to normalize the norm by the dimension, cf. lp_norm()
p (float) – the parameter \(p\) of the Lp norm, cf. lp_norm()
kwargs – additional keyword-based parameters passed to Regularizer.__init__()

Methods Summary

Compute the regularization term for one tensor.

Methods Documentation

Compute the regularization term for one tensor.