code: def _init_incremental_states(self, n_srcs):
      incremental_states = {}
      for src_id in range(n_srcs):
          for model_id, model in enumerate(self.models):
              if isinstance(model.decoder, FairseqIncrementalDecoder):
                  incremental_states[(src_id, model_id)] = {}
              else:
                  incremental_states[(src_id, model_id)] = None
      return incremental_states
  
file_path: translate/pytorch_translate/research/multisource/multisource_decode.py
imports: import math
  import torch
  from fairseq import utils
  from fairseq.models import FairseqIncrementalDecoder
label_desc: Use image node_id 6 for calling the MultiSourceSequenceGenerator obj's underlying member method code with example usage: obj._init_incremental_states(n_srcs) and returns: incremental_states