code: def testSimpleCase(self):
      layer = axis_norm.LayerNorm(
          [1, 2], create_scale=False, create_offset=False
      )
      inputs = tf.ones([2, 3, 3, 5])
  
      outputs = layer(inputs).numpy()
      for x in np.nditer(outputs):
          self.assertEqual(x, 0.0)
  
imports: from absl.testing import parameterized
  import numpy
  from sonnet.src import axis_norm
  from sonnet.src import initializers
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 1 for calling the LayerNormTest obj's underlying member method code with example usage: obj.testSimpleCase() without return types