class_docstr: ClusterPreserveInfo.
docstr: ClusterPreserveInfo.
  
  Args:
    weight_attrs: list of cluster preservable weight attributes of layer.
    quantize_config_attrs: list of quantization configuration class name.
code: def __init__(self, weight_attrs, quantize_config_attrs):
      """ClusterPreserveInfo.
  
      Args:
        weight_attrs: list of cluster preservable weight attributes of layer.
        quantize_config_attrs: list of quantization configuration class name.
      """
      self.weight_attrs = weight_attrs
      self.quantize_config_attrs = quantize_config_attrs
  
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 _ClusterPreserveInfo object from inherited base classes: object with example: obj = _ClusterPreserveInfo(weight_attrs, quantize_config_attrs)