class_docstr: PrunePreserveWeightsQuantizer for default 8bit weights.
class_docstr_tok: ["PrunePreserveWeightsQuantizer","for","default","8bit","weights","."]
code: def __init__(self):
      super(PrunePreserveDefault8BitWeightsQuantizer, self).__init__(
          num_bits=8, per_axis=False, symmetric=True, narrow_range=True
      )
  
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 PrunePreserveDefault8BitWeightsQuantizer object from inherited base classes: PrunePreserveDefaultWeightsQuantizer with example: obj = PrunePreserveDefault8BitWeightsQuantizer()