code: def test_output_with_rms_scaling(self):
      layer = layers.LayerNormalization(
          dtype="float32",
          rms_scaling=True,
          gamma_initializer="ones",
      )
      inputs = np.arange(5).astype("float32")[None, :]
      out = layer(inputs)
      self.assertAllClose(
          out, [[0.0, 0.70693, 1.41386, 2.12079, 2.82772]]
      )
  
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 5 for calling the LayerNormalizationTest obj's underlying member method code with example usage: obj.test_output_with_rms_scaling() without return types