code: def testSliceAxis(self):
      slice_layer = axis_norm.LayerNorm(
          slice(1, -1), create_scale=False, create_offset=False
      )
      axis_layer = axis_norm.LayerNorm(
          (1, 2), create_scale=False, create_offset=False
      )
  
      inputs = tf.random.uniform([3, 4, 4, 5], 0, 10)
      scale = tf.random.normal((5,), mean=1.0)
      offset = tf.random.normal((5,))
  
      slice_outputs = slice_layer(inputs, scale, offset)
      axis_outputs = axis_layer(inputs, scale, offset)
  
      self.assertAllEqual(slice_outputs.numpy(), axis_outputs.numpy())
  
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 16 for calling the LayerNormTest obj's underlying member method code with example usage: obj.testSliceAxis() without return types