code: def loss_aggregation(self, ctx, loss):
      if isinstance(loss, t.Tensor):
          loss = loss.detach.cpu().numpy()
      else:
          loss = np.array(loss)
      loss = [loss]
      agg_loss = self.loss_aggregator.secure_aggregate(
          ctx, loss, self._weight
      )
      return agg_loss
  
imports: import logging
  from typing import Optional
  import numpy
  import torch
  from fate.arch import Context
  from fate.arch.protocol.secure_aggregation._secure_aggregation import SecureAggregatorClient
  from fate.arch.protocol.secure_aggregation._secure_aggregation import SecureAggregatorServer
label_desc: Use image node_id 6 for calling the BaseAggregatorClient obj's underlying member method code with example usage: obj.loss_aggregation(ctx, loss) and returns: agg_loss