                  self._add_l2_regularization_term(loss_func, mask_channels[0])
  
                  channel_idx = 1
                  for multiplier in ("eye_multiplier", "mouth_multiplier"):
                      if self._config[multiplier] > 1:
                          loss_func.add_loss(face_loss,
                                             weight=self._config[multiplier] * 1.0,
                                             mask_channel=mask_channel)
                          self._add_l2_regularization_term(loss_func, mask_channel)
 
</s> remove                     mask_channel += 1
 </s> add                     channel_idx += 1 </s> remove                                            mask_channel=mask_channels[mask_channel])
 </s> add                                            mask_channel=mask_channel) </s> remove                 mask_channel = 1
 </s> add                 channel_idx = 1
                    mask_channel = mask_channels[channel_idx]
                  self._add_l2_regularization_term(loss_func, mask_channels[0])
  
                  channel_idx = 1
                  for multiplier in ("eye_multiplier", "mouth_multiplier"):
                    mask_channel = mask_channels[channel_idx]
                      if self._config[multiplier] > 1:
                          loss_func.add_loss(face_loss,
                                             weight=self._config[multiplier] * 1.0,
                                             mask_channel=mask_channel)
                          self._add_l2_regularization_term(loss_func, mask_channel)
keep keep keep add keep keep keep keep keep
 bugfix: Training
  - Select correct channel for loss multiplier L2Reg 
plugins/train/model/_base.py