code: def _deserialize_metrics(
      metric_configs: List[Dict[str, Any]]
  ) -> List[tf.keras.metrics.Metric]:
      return [
          metric_util.deserialize_metric(c, use_legacy_format=True)
          for c in metric_configs
      ]
  
imports: import collections
  import importlib
  import itertools
  from typing import Any, Dict, Iterable, List, Optional, Type, Tuple, Union
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.metrics import binary_confusion_matrices
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.metrics import tf_metric_accumulators
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
label_desc: Use image node_id 7 for calling a global function with example usage: _deserialize_metrics(metric_configs) and returns: unknown