code: def all_regularization_loss_names(self):
      reg_names = []
      for base_class in inspect.getmro(self.__class__):
          base_class_name = base_class.__name__
          mixin_keyword = "RegularizerMixin"
          if base_class_name.endswith(mixin_keyword):
              descriptor = base_class_name.replace(
                  mixin_keyword, ""
              ).lower()
              if getattr(self, "{}_regularizer".format(descriptor)):
                  reg_names.extend(
                      base_class.regularization_loss_names(self)
                  )
      return reg_names
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/base_metric_loss_function.py
imports: import inspect
  from ..utils import common_functions
  from ..utils.module_with_records_and_reducer import ModuleWithRecordsReducerAndDistance
  from .mixins import EmbeddingRegularizerMixin
label_desc: Use image node_id 7 for calling the BaseMetricLossFunction obj's underlying member method code with example usage: obj.all_regularization_loss_names() and returns: reg_names