class_docstr: Emulate quantization of tensors passed through the layer.
code: def get_config(self):
      base_config = super(QuantizeLayer, self).get_config()
      config = {"quantizer": serialize_keras_object(self.quantizer)}
      return dict(list(base_config.items()) + list(config.items()))
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/quantize_layer.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 4 for calling the QuantizeLayer obj's underlying member method code with example usage: obj.get_config() and returns: dict