code: def calculate_metric(self):
      all_metrics = compute_all_metrics(
          self.create_frame_prediction_pairs(),
          overall_metrics=True,
          calculated_loss=self.calculate_loss(),
      )
      return all_metrics
  
imports: from typing import Dict, List, Optional
  from pytext.common.constants import BatchContext, DatasetFieldName, RawExampleFieldName, Stage
  from pytext.data.data_structures.annotation import Annotation, INVALID_TREE_STR
  from pytext.data.tensorizers import Tensorizer
  from pytext.metric_reporters.channel import Channel, ConsoleChannel
  from pytext.metric_reporters.compositional_metric_reporter import CompositionalMetricReporter
  from pytext.metric_reporters.metric_reporter import MetricReporter
  from pytext.metric_reporters.seq2seq_metric_reporter import Seq2SeqFileChannel, Seq2SeqMetricReporter
  from pytext.metrics.intent_slot_metrics import compute_all_metrics, FramePredictionPair
label_desc: Use image node_id 4 for calling the Seq2SeqCompositionalMetricReporter obj's underlying member method code with example usage: obj.calculate_metric() and returns: all_metrics