code: def test_correctness(self):
      layer = layers.LayerNormalization(dtype="float32")
      layer.build(input_shape=(2, 2, 2))
      inputs = np.random.normal(
          loc=5.0, scale=10.0, size=(1000, 2, 2, 2)
      ).astype("float32")
  
      out = layer(inputs)
      out -= layer.beta
      out /= layer.gamma
  
      self.assertAllClose(ops.mean(out), 0.0, atol=1e-1)
      self.assertAllClose(ops.std(out), 1.0, atol=1e-1)
  
file_path: keras/keras/layers/normalization/layer_normalization_test.py
imports: import numpy
  import pytest
  from keras import layers
  from keras import ops
  from keras import regularizers
  from keras import testing
label_desc: Use image node_id 3 for calling the LayerNormalizationTest obj's underlying member method code with example usage: obj.test_correctness() without return types