class_docstr: QuantizeConfig that quantizes output with fixed range.
class_docstr_tok: ["QuantizeConfig","that","quantizes","output","with","fixed","range","."]
code: def from_config(cls, config):
      config["config"] = quantize_utils.deserialize_keras_object(
          config["config"]
      )
      return cls(**config)
  
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 8 for calling the FixedQuantizeConfig obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls