code: def _keras_layer_norm(x, axes, epsilon):
      layer = tf.keras.layers.LayerNormalization(
          axis=axes, epsilon=epsilon
      )
      data = tf.constant(x, dtype=tf.float32)
      output = layer(data)
      return output.numpy()
  
imports: import itertools
  import platform
  import numpy
  import pytest
  import coremltools
  from coremltools._deps import _HAS_TF_2, _HAS_TORCH, MSG_TF2_NOT_FOUND, MSG_TORCH_NOT_FOUND
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Function, get_new_symbol, types
  from coremltools.converters.mil.mil.ops.tests.iOS14 import backends
  from coremltools.converters.mil.mil.ops.tests.testing_utils import UNK_SYM, construct_inputs_from_placeholders, run_compare_builder
  from coremltools.converters.mil.testing_reqs import compute_units
  from coremltools.converters.mil.testing_utils import random_gen
label_desc: Use image node_id 1 for calling the TestNormalizationLayerNorm obj's underlying member method code with example usage: obj._keras_layer_norm(x, axes, epsilon) and returns: output