class_docstr: Fixed, untunable value.
  
  Args:
      name: A string. the name of parameter. Must be unique for each
          `HyperParameter` instance in the search space.
      value: The value to use (can be any JSON-serializable Python type).
code: def get_config(self):
      config = super().get_config()
      config["name"] = self.name
      config.pop("default")
      config["value"] = self.value
      return config
  
file_path: keras-tuner/keras_tuner/engine/hyperparameters/hp_types/fixed_hp.py
imports: import six
  from keras_tuner import protos
  from keras_tuner.api_export import keras_tuner_export
  from keras_tuner.engine import conditions
  from keras_tuner.engine.hyperparameters import hyperparameter
label_desc: Use image node_id 7 for calling the Fixed obj's underlying member method code with example usage: obj.get_config() and returns: config