code: def total_loss_scalar(self):
      if self.num_gpus == 0:
          return workspace.FetchBlob("total_loss_scalar")
      else:
          total_loss = 0
          for i in range(self.num_gpus):
              name = "gpu_{}/total_loss_scalar".format(i)
              gpu_loss = workspace.FetchBlob(name)
              total_loss += gpu_loss
          return total_loss
  
imports: import argparse
  import collections
  import logging
  import math
  import numpy
  import random
  import time
  import sys
  import os
  import caffe2.proto.caffe2_pb2
  from caffe2.python import core, workspace, data_parallel_model
  import caffe2.python.models.seq2seq.seq2seq_util
  from caffe2.python.models.seq2seq.seq2seq_model_helper import Seq2SeqModelHelper
label_desc: Use image node_id 10 for calling the Seq2SeqModelCaffe2 obj's underlying member method code with example usage: obj.total_loss_scalar() and returns: workspace, total_loss