code: def get_layer_norm_layer_generators():
      return {
          "defaults": lambda x: tf.keras.layers.LayerNormalization(
              axis=x
          ),
      }
  
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 1 for calling a global function with example usage: get_layer_norm_layer_generators() and returns: dict