code: def update_added_loss_term(self, name, added_loss_term):
      from .mlls import AddedLossTerm
  
      if not isinstance(added_loss_term, AddedLossTerm):
          raise RuntimeError("added_loss_term must be a AddedLossTerm")
      if name not in self._added_loss_terms.keys():
          raise RuntimeError(
              "added_loss_term {} not registered".format(name)
          )
      self._added_loss_terms[name] = added_loss_term
  
imports: import copy
  import inspect
  import itertools
  import operator
  from collections import OrderedDict
  from typing import Union
  import torch
  from linear_operator.operators import LinearOperator
  from torch import nn, Tensor
  from torch.distributions import Distribution
  from .constraints import Interval
label_desc: Use image node_id 32 for calling the Module obj's underlying member method code with example usage: obj.update_added_loss_term(name, added_loss_term) without return types