code: def weight_regularization_loss(self, weights):
      if self.weight_regularizer is None:
          loss = 0
      else:
          loss = (
              self.weight_regularizer(weights) * self.weight_reg_weight
          )
      return {
          "losses": loss,
          "indices": None,
          "reduction_type": "already_reduced",
      }
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/mixins.py
imports: import torch
  from ..utils import common_functions
label_desc: Use image node_id 2 for calling the WeightRegularizerMixin obj's underlying member method code with example usage: obj.weight_regularization_loss(weights) and returns: dict