请问下 转tflite 模型能支持签名吗？

在tflite2.7 版本后 已经支持多签名了：https://tensorflow.google.cn/lite/guide/signatures?hl=zh-cn

```py
class Model(tf.Module):

@tf.function(input_signature=[tf.TensorSpec(shape=[None], dtype=tf.float32)])
def encode(self, x):
result = tf.strings.as_string(x)
return {
"encoded_result": result
}

@tf.function(input_signature=[tf.TensorSpec(shape=[None], dtype=tf.string)])
def decode(self, x):
result = tf.strings.to_number(x)
return {
"decoded_result": result
}

model = Model()

# Save the model
SAVED_MODEL_PATH = 'content/saved_models/coding'

tf.saved_model.save(
model, SAVED_MODEL_PATH,
signatures={
'encode': model.encode.get_concrete_function(),
'decode': model.decode.get_concrete_function()
})

# Convert the saved model using TFLiteConverter
converter = tf.lite.TFLiteConverter.from_saved_model(SAVED_MODEL_PATH)
converter.target_spec.supported_ops = [
tf.lite.OpsSet.TFLITE_BUILTINS, # enable TensorFlow Lite ops.
tf.lite.OpsSet.SELECT_TF_OPS # enable TensorFlow ops.
]
tflite_model = converter.convert()

# Print the signatures from the converted model
interpreter = tf.lite.Interpreter(model_content=tflite_model)
signatures = interpreter.get_signature_list()
print(signatures)
```

这样一个tflite文件可以有多个graph,在调用的时候可以通过签名来找到子graph.
请教一下TinyNeuralNetwork能否支持一下这个功能？非常感谢啊！

Start by reviewing the TFLiteConverter flow and the signature handling demonstrated with interpreter.get_signature_list() in the issue. Define what support for multiple graphs and signature-based invocation should cover, then verify the converted model exposes and invokes both encode and decode signatures.

Written by the indexing model from the issue text.