code: def loss_round_robin(tensors, global_step, batch=None):
      if global_step % 2:
          return tensors[0]
      else:
          return tensors[1]
  
file_path: FARM/examples/mtl01_tclass_tclass.py
imports: import logging
  import torch
  import farm
  from farm.modeling.tokenization import Tokenizer
  from farm.data_handler.processor import TextClassificationProcessor
  from farm.data_handler.data_silo import DataSilo
  from farm.modeling.language_model import LanguageModel
  from farm.modeling.prediction_head import TextClassificationHead
  from farm.modeling.adaptive_model import AdaptiveModel
  from farm.modeling.optimization import initialize_optimizer
  from farm.train import Trainer
  from farm.infer import Inferencer
  from farm.eval import Evaluator
label_desc: Use image node_id 1 for calling a global function with example usage: loss_round_robin(tensors, global_step, batch) and returns: tensors, tensors