code: def test_slice_axis(self, use_fast_variance):
      slice_layer = layer_norm.LayerNorm(
          slice(1, -1),
          create_scale=False,
          create_offset=False,
          use_fast_variance=use_fast_variance,
          param_axis=-1,
      )
      axis_layer = layer_norm.LayerNorm(
          (1, 2),
          create_scale=False,
          create_offset=False,
          use_fast_variance=use_fast_variance,
          param_axis=-1,
      )
  
      inputs = np.random.uniform(size=[3, 4, 4, 5], low=0, high=10)
      scale = np.random.normal(size=(5,), loc=1.0)
      offset = np.random.normal(size=(5,))
  
      slice_outputs = slice_layer(inputs, scale, offset)
      axis_outputs = axis_layer(inputs, scale, offset)
  
      np.testing.assert_array_equal(slice_outputs, axis_outputs)
  
imports: import functools
  import itertools
  from absl.testing import absltest
  from absl.testing import parameterized
  from haiku._src import initializers
  from haiku._src import layer_norm
  from haiku._src import test_utils
  from haiku._src import transform
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 11 for calling the LayerNormTest obj's underlying member method code with example usage: obj.test_slice_axis(use_fast_variance) without return types