class_docstr: QuantizeConfig that quantizes output with fixed range.
class_docstr_tok: ["QuantizeConfig","that","quantizes","output","with","fixed","range","."]
code: def get_config(self):
      return {
          "config": quantize_utils.serialize_keras_object(self.config),
          "num_bits": self.num_bits,
          "init_min": self.init_min,
          "init_max": self.init_max,
          "narrow_range": self.narrow_range,
      }
  
imports: import abc
  import six
  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 7 for calling the FixedQuantizeConfig obj's underlying member method code with example usage: obj.get_config() and returns: dict