code: def test_call_on_meta_device_after_built(self):
      from keras.backend.torch import core
  
      layer = layers.Normalization()
      data = np.random.random((32, 4))
      layer.adapt(data)
      with core.device_scope("meta"):
          layer(data)
  
file_path: keras/keras/layers/preprocessing/normalization_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import testing
label_desc: Use image node_id 4 for calling the NormalizationTest obj's underlying member method code with example usage: obj.test_call_on_meta_device_after_built() without return types