Serialization ONNX序列化以字符串作为输入的火炬模型

有没有把字符串作为输入的ONNX序列化torch模型的例子

在

torch.onnx.export

函数中将随机类型设置为

args

，将生成：

RuntimeError: Only tuples, lists and Variables supported as JIT inputs/outputs. Dictionaries and strings are also accepted but their usage is not recommended. But got unsupported type numpy.ndarray

但是在

args

定义下也有这样的解释：

                                  ... Any non-Tensor arguments will
        be hard-coded into the exported model; any Tensor arguments
        will become inputs of the exported model, in the order they
        occur in args.  If args is a Tensor, this is equivalent

有没有一种方法可以像这样序列化模型：

model（'hello world'）
输出：[0.8,0.2]