docs: def exp(cls, x: 'TensorFluent') -> 'TensorFluent':
          '''Returns a TensorFluent for the exp function.
  
          Args:
              x: The input fluent.
  
          Returns:
              A TensorFluent wrapping the exp function.
          '''
          return cls._unary_op(x, tf.exp, tf.float32)