code: def setUp(self):
      super(ClusterPreserveQuantizeRegistryTest, self).setUp()
      # Test CQAT by default
      self.cluster_preserve_quantize_registry = cluster_preserve_quantize_registry.ClusterPreserveQuantizeRegistry(
          False
      )
      # layers which are supported
      # initial and build a Conv2D layer
      self.layer_conv2d = layers.Conv2D(10, (2, 2))
      self.layer_conv2d.build((2, 2))
      # initial and build a Dense layer
      self.layer_dense = layers.Dense(10)
      self.layer_dense.build((2, 2))
      # initial and build a ReLU layer
      self.layer_relu = layers.ReLU()
      self.layer_relu.build((2, 2))
  
      # a layer which is not supported
      # initial and build a Custom layer
      self.layer_custom = self.CustomLayer()
      self.layer_custom.build()
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/collab_opts/cluster_preserve/cluster_preserve_quantize_registry_test.py
imports: import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_registry
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_config
  from tensorflow_model_optimization.python.core.quantization.keras.collab_opts.cluster_preserve import cluster_preserve_quantize_registry
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_registry
label_desc: Use image node_id 1 for calling the ClusterPreserveQuantizeRegistryTest obj's underlying member method code with example usage: obj.setUp() without return types