code: def _predict_json(self, batch_data):
      if len(batch_data) == 1:
          results = [self._predictor.predict_json(batch_data[0])]
      else:
          results = self._predictor.predict_batch_json(batch_data)
      for output in results:
          yield self._predictor.dump_line(output)
  
imports: from __future__ import absolute_import
  from __future__ import print_function
  import argparse
  import sys
  import json
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common.checks import check_for_gpu, ConfigurationError
  from allennlp.common.util import lazy_groups_of
  from allennlp.models.archival import load_archive
  from allennlp.predictors.predictor import Predictor, JsonDict
  from allennlp.data import Instance
  from io import open
label_desc: Use image node_id 2 for calling the _PredictManager obj's underlying member method code with example usage: obj._predict_json(batch_data) without return types