code: def calculate_metric(self):
      return compute_all_metrics(
          self.create_frame_prediction_pairs(),
          overall_metrics=True,
          all_predicted_frames=self.all_context[ALL_PRED_FRAMES],
      )
  
imports: from typing import Dict, List, Set, Union
  from pytext.common.constants import BatchContext, DatasetFieldName, Stage
  from pytext.data import CommonMetadata
  from pytext.data.data_structures.annotation import Intent, REDUCE, SHIFT, Slot, Token, Tree, TreeBuilder
  from pytext.data.tensorizers import Tensorizer
  from pytext.data.tokenizers import Tokenizer
  from pytext.metrics.intent_slot_metrics import compute_all_metrics, FramePredictionPair, Node, Span
  from .channel import Channel, ConsoleChannel, FileChannel
  from .metric_reporter import MetricReporter
label_desc: Use image node_id 7 for calling the CompositionalMetricReporter obj's underlying member method code with example usage: obj.calculate_metric() and returns: compute_all_metrics