code: def get_null_initializer(key_dtype, value_dtype):
      class NullInitializer(tf.lookup.KeyValueTensorInitializer):
          """A placeholder initializer for restoring from a SavedModel."""
  
          def __init__(self, key_dtype, value_dtype):
              """Construct a table initializer object.
  
              Args:
              key_dtype: Type of the table keys.
              value_dtype: Type of the table values.
              """
              self._key_dtype = key_dtype
              self._value_dtype = value_dtype
  
          @property
          def key_dtype(self):
              """The expected table key dtype."""
              return self._key_dtype
  
          @property
          def value_dtype(self):
              """The expected table value dtype."""
              return self._value_dtype
  
          def initialize(self, table):
              """Returns the table initialization op."""
              pass
  
      return NullInitializer(key_dtype, value_dtype)
  
imports: import collections
  import numpy
  from keras import backend
  from keras.layers.layer import Layer
  from keras.utils import argument_validation
  from keras.utils import tf_utils
  from keras.utils.module_utils import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_null_initializer(key_dtype, value_dtype) and returns: NullInitializer, self, self