Could not find matching concrete function to call loaded from the SavedModel
Only because of tuple! I fixed! Are you satisfied with the resolution of your issue?
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### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

tf2.10

### Custom code

Yes

### OS platform and distribution

win10

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

How to match data of signature?

### Standalone code to reproduce the issue

```shell
...

model.save(filepath=save_model_dir, save_format='tf', signatures=None)
local_model = tf.keras.models.load_model(filepath=save_model_dir)

y_local_pred = local_model.predict(x_test)
y_model_pred = model.predict(x_test)
print('y_local_pred == y_model_pred:', numpy.allclose(y_local_pred, y_model_pred))

user_inputs = [
    tf.TensorSpec.from_tensor(tf.convert_to_tensor(user_inputs[0]), name='inputs/0'),
    tf.TensorSpec.from_tensor(tf.convert_to_tensor(user_inputs[1]), name='inputs/1'),
    tf.TensorSpec.from_tensor(tf.convert_to_tensor(user_inputs[2]), name='inputs/2'),
]

user_outputs = local_model.user_fn(user_inputs)
```


### Relevant log output

```shell
Could not find matching concrete function to call loaded from the SavedModel. Got:
  Positional arguments (1 total):
    * [<tf.Tensor 'inputs/0:0' shape=(150, 5) dtype=float32>,
 <tf.Tensor 'inputs/1:0' shape=(150, 10) dtype=int32>,
 <tf.Tensor 'inputs/2:0' shape=(150, 3, 5) dtype=int32>]
  Keyword arguments: {}
 Expected these arguments to match one of the following 1 option(s):
Option 1:
  Positional arguments (1 total):
    * (TensorSpec(shape=(None, 5), dtype=tf.float32, name='inputs/0'),
 TensorSpec(shape=(None, 10), dtype=tf.int32, name='inputs/1'),
 TensorSpec(shape=(None, 3, 5), dtype=tf.int32, name='inputs/2'))
  Keyword arguments: {}
```
