class_docstr: PrunePreserveWeightsQuantizer for default 8bit Conv2D/DepthwiseConv2D weights.
class_docstr_tok: ["PrunePreserveWeightsQuantizer","for","default","8bit","Conv2D\/DepthwiseConv2D","weights","."]
code: def __init__(self):
      # Skip PrunePreserveDefaultWeightsQuantizer since they have the same super.
      default_8bit_quantizers.Default8BitConvWeightsQuantizer.__init__(
          self
      )
  
imports: import tensorflow
  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 PrunePreserveDefault8BitConvWeightsQuantizer object from inherited base classes: PrunePreserveDefaultWeightsQuantizer, default_8bit_quantizers with example: obj = PrunePreserveDefault8BitConvWeightsQuantizer()