code: def create_frame_prediction_pairs(
      self, all_pred_trees, all_target_trees
  ):
      return [
          FramePredictionPair(
              CompositionalMetricReporter.tree_to_metric_node(
                  pred_tree
              ),
              CompositionalMetricReporter.tree_to_metric_node(
                  target_tree
              ),
          )
          for pred_tree, target_tree in zip(
              all_pred_trees, all_target_trees
          )
      ]
  
imports: from collections import defaultdict
  from typing import Dict, List
  import numpy
  from pytext.common.constants import Stage
  from pytext.data.tensorizers import Tensorizer
  from pytext.metric_reporters.channel import ConsoleChannel
  from pytext.metric_reporters.compositional_metric_reporter import CompositionalMetricReporter
  from pytext.metric_reporters.seq2seq_compositional import CompositionalSeq2SeqFileChannel, Seq2SeqCompositionalMetricReporter
  from pytext.metrics.intent_slot_metrics import FramePredictionPair
  from pytext.metrics.mask_metrics import compute_masked_metrics, compute_nas_masked_metrics
  from .compositional_utils import extract_beam_subtrees, filter_invalid_beams
label_desc: Use image node_id 7 for calling the MaskedSeq2SeqCompositionalMetricReporter obj's underlying member method code with example usage: obj.create_frame_prediction_pairs(all_pred_trees, all_target_trees) and returns: unknown