code: def __l1_loss_norm(self, model_weights):
      loss_norm = torch.sum(self.alpha * model_weights)
      return loss_norm.reshape((1, 1))
  
imports: import logging
  import numpy
  import torch
label_desc: Use image node_id 12 for calling the Optimizer obj's underlying member method code with example usage: obj.__l1_loss_norm(model_weights) and returns: loss_norm