code: def deserialize_slice_key(
      slice_key: metrics_for_slice_pb2.SliceKey,
  ) -> SliceKeyType:
      """Converts SliceKey proto to SliceKeyType.
  
      Args:
        slice_key: The slice key in the format of proto SliceKey.
  
      Returns:
        The slice key in the format of SliceKeyType.
  
      Raises:
        TypeError: If the evaluate type is unreconized.
      """
      result = []
      for elem in slice_key.single_slice_keys:
          if elem.HasField("bytes_value"):
              value = tf.compat.as_text(elem.bytes_value)
          elif elem.HasField("int64_value"):
              value = elem.int64_value
          elif elem.HasField("float_value"):
              value = elem.float_value
          else:
              raise TypeError(
                  "unrecognized type of type %s, value %s"
                  % (type(elem), elem)
              )
          result.append((elem.column, value))
      return tuple(result)
  
imports: import itertools
  from typing import Any, Callable, Dict, Generator, Iterable, List, NamedTuple, Optional, Tuple, Union
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
  from tensorflow_model_analysis.slicer import slice_accessor
label_desc: Use image node_id 5 for calling a global function with example usage: deserialize_slice_key(slice_key) and returns: tuple