class_docstr: ClusterPreserveWeightsQuantizer for default 8bit Conv2D weights.
code: def __init__(
      self, preserve_sparsity
  ):  # pylint: disable=super-init-not-called
      default_8bit_quantizers.Default8BitConvWeightsQuantizer.__init__(
          self
      )
      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 ClusterPreserveDefault8BitConvWeightsQuantizer object from inherited base classes: ClusterPreserveDefaultWeightsQuantizer, default_8bit_quantizers with example: obj = ClusterPreserveDefault8BitConvWeightsQuantizer(preserve_sparsity)