<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def params_as_tensors(method):
 """ The `params_as_tensors` decorator converts representation for parameters into their unconstrained tensors, and data holders to their data tensors inside wrapped function, subject to this function is a member of parameterized object. """

    @functools.wraps(method)
    def tensor_mode_wrapper(obj, *args, **kwargs):
        if not isinstance(obj, Parameterized):
            raise GPflowError(
                'Tensor mode works only for Parameterized object.')
        prev_value = _params_as_tensors_enter(obj, True)
        try:
            result = method(obj, *args, **kwargs)
        finally:
            _params_as_tensors_exit(obj, prev_value)
        return result
    return tensor_mode_wrapper