bound_lower_scaled_power¶
- bound_lower_scaled_power(param: Tensor, update: Tensor, limit: float, *, power: float, range: float, **kwargs) Tensor[source]¶
Computes the scaled update of lower-bound scaled power parameter dependence.
\[U_- = \left(\frac{P - P_\text{min}}{P_\text{max} - P_\text{min}}\right)^{\mu_-} U_-\]- Parameters:
param (torch.Tensor) – parameter with update bounding, \(P\).
update (torch.Tensor) – depressive update being applied, \(U_-\).
limit (float) – value of the upper bound, \(P_\text{min}\).
power (float) – exponent of parameter dependence, \(\mu_-\).
range (float) – absolute difference between the upper and lower bounds, \(P_\text{max} - P_\text{min}\).
- Returns:
bounded update.
- Return type: