code: def reduce_the_loss(
      self,
      losses,
      loss_indices,
      reduction_type,
      kwargs,
      embeddings,
      labels,
  ):
      self.set_losses_size_stat(losses)
      if self.input_is_zero_loss(losses):
          return self.zero_loss(embeddings)
      self.assert_sizes(losses, loss_indices, reduction_type)
      reduction_func = self.get_reduction_func(reduction_type)
      return reduction_func(
          losses, loss_indices, embeddings, labels, **kwargs
      )
  
imports: import torch
  from ..utils import common_functions
  from ..utils.module_with_records import ModuleWithRecords
label_desc: Use image node_id 4 for calling the BaseReducer obj's underlying member method code with example usage: obj.reduce_the_loss(losses, loss_indices, reduction_type, kwargs, embeddings, labels) and returns: reduction_func, self