class_docstr: ClusterPreserveWeightsQuantizer for default 8bit weights.
code: def __init__(self, preserve_sparsity):
      super(ClusterPreserveDefault8BitWeightsQuantizer, self).__init__(
          num_bits=8,
          per_axis=False,
          symmetric=True,
          narrow_range=True,
          preserve_sparsity=preserve_sparsity,
      )
      self.preserve_sparsity = preserve_sparsity
  
imports: import logging
  import warnings
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_config
  from tensorflow_model_optimization.python.core.clustering.keras import clustering_registry
  from tensorflow_model_optimization.python.core.quantization.keras import quant_ops
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_registry
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantizers
label_desc: Use image node_id 1 to create a new ClusterPreserveDefault8BitWeightsQuantizer object from inherited base classes: ClusterPreserveDefaultWeightsQuantizer with example: obj = ClusterPreserveDefault8BitWeightsQuantizer(preserve_sparsity)