original_docstring: Serialize a hyperparameter that can be a float, callable, or Tensor.
docstring: Serialize a hyperparameter that can be a float, callable, or Tensor.
docstring_tokens: Serialize a hyperparameter that can be a float callable or Tensor .
code: def _fixed_serialize_hyperparameter(self, hyperparameter_name):
          """Serialize a hyperparameter that can be a float, callable, or Tensor."""
          value = self._hyper[hyperparameter_name]
  
          # First resolve the callable
          if callable(value):
              value = value()
  
          if isinstance(value, tf.keras.optimizers.schedules.LearningRateSchedule):
              return tf.keras.optimizers.schedules.serialize(value)
  
          if tf.is_tensor(value):
              return backend.get_value(value)
  
          return value
code_tokens: def _fixed_serialize_hyperparameter ( self , hyperparameter_name ) : value = self . _hyper [ hyperparameter_name ] if callable ( value ) : value = value ( ) if isinstance ( value , tf . keras . optimizers . schedules . LearningRateSchedule ) : return tf . keras . optimizers . schedules . serialize ( value ) if tf . is_tensor ( value ) : return backend . get_value ( value ) return value
short_docstring: Serialize a hyperparameter that can be a float, callable, or Tensor.
short_docstring_tokens: Serialize a hyperparameter that can be a float callable or Tensor .
comment: """Serialize a hyperparameter that can be a float, callable, or Tensor."""$SEP$# First resolve the callable