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)
Returns a TensorFluent for the exp function.

        Args:
            x: The input fluent.

        Returns:
            A TensorFluent wrapping the exp function.