alpine.losses package

Submodules

alpine.losses.loss_functions module

class alpine.losses.loss_functions.MSELoss

Bases: Module

__init__(reduction='mean')

Mean squared error loss

Parameters:

reduction (str, optional) – Reduction applied to the computed mse tensor. Defaults to ‘mean’.

forward(x, y)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

Module contents