code: def get_title(self, context_keys=()):
      return (
          "doc_index",
          "raw_input",
          "tokenized_input",
          "prediction",
          "tokenized_prediction",
          "predictions_top_k",
          "targets",
      )
  
imports: from collections import defaultdict
  from typing import Dict, List
  import numpy
  import torch
  from pytext.common.constants import BatchContext, DatasetFieldName, Stage
  from pytext.data.tensorizers import Tensorizer
  from pytext.metric_reporters.channel import ConsoleChannel
  from pytext.metric_reporters.seq2seq_compositional import CompositionalSeq2SeqFileChannel, Seq2SeqCompositionalMetricReporter
  from pytext.metric_reporters.seq2seq_metric_reporter import Seq2SeqFileChannel, Seq2SeqMetricReporter
  from pytext.metric_reporters.seq2seq_utils import stringify
  from pytext.metrics import safe_division
  from pytext.metrics.mask_metrics import compute_length_metrics
  from pytext.metrics.seq2seq_metrics import MaskedSeq2SeqTopKMetrics
label_desc: Use image node_id 1 for calling the MaskedSeq2SeqFileChannel obj's underlying member method code with example usage: obj.get_title(context_keys) and returns: str,  str,  str,  str,  str,  str,  str