code: def get_layer_norm_registries():
      ln_registry = layer_registry.LayerRegistry()
      ln_registry.insert(
          tf.keras.layers.Dense, dense.dense_layer_computation
      )
      ln_registry.insert(
          tf.keras.layers.LayerNormalization,
          layer_normalization.layer_normalization_computation,
      )
      return {
          "layer_norm_only": ln_registry,
      }
  
file_path: privacy/tensorflow_privacy/privacy/fast_gradient_clipping/registry_functions/layer_normalization_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_privacy.privacy.fast_gradient_clipping import common_test_utils
  from tensorflow_privacy.privacy.fast_gradient_clipping import layer_registry
  from tensorflow_privacy.privacy.fast_gradient_clipping.registry_functions import dense
  from tensorflow_privacy.privacy.fast_gradient_clipping.registry_functions import layer_normalization
label_desc: Use image node_id 4 for calling a global function with example usage: get_layer_norm_registries() and returns: dict