__dict__ error when saving a model using tf.saved_model.save(model, modelSavedPath)
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### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

2.16.1

### Custom code

No

### OS platform and distribution

Windows 10

### Mobile device

_No response_

### Python version

3.12.2

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I was training MobileNetV3 on a custom dataset and tried to save it as a SavedModel because I get errors when converting .keras files to .tflite. So I retrained my model and to save the model I used `tf.saved_model.save(model, modelSavedPath)`. After the code was done, it displayed this error: `TypeError: this __dict__ descriptor does not support '_DictWrapper' objects`

### Standalone code to reproduce the issue

```shell
# transfer learning using MobileNet-V3 large 

import tensorflow as tf 
from tensorflow.keras import Model 
from tensorflow.keras.applications import MobileNetV3Large 
from tensorflow.keras.preprocessing.image import ImageDataGenerator 
from tensorflow.keras.layers import Dense, GlobalAveragePooling2D
from tensorflow.keras.optimizers import Adam

trainPath = "C:/Users/User/Desktop/CDD/CDataset/train"
ValidPath = "C:/Users/User/Desktop/CDD/CDataset/validate"

trainGenerator = ImageDataGenerator(
    rotation_range=15 , width_shift_range=0.1,
    height_shift_range=0.1, brightness_range=(0, 0.2)).flow_from_directory(trainPath, target_size=(320,320), batch_size=32)

ValidGenerator = ImageDataGenerator(
    rotation_range=15 , width_shift_range=0.1,
    height_shift_range=0.1, brightness_range=(0, 0.2)).flow_from_directory(ValidPath, target_size=(320,320), batch_size=32)

# Build the model 

baseModel = MobileNetV3Large(weights= "imagenet", include_top=False)

x = baseModel.output
x = GlobalAveragePooling2D()(x)
x = Dense(512, activation='relu')(x)
x = Dense(256, activation='relu')(x)
x = Dense(128, activation='relu')(x)

predictionLayer = Dense(3, activation='softmax')(x)

model = Model(inputs=baseModel.input , outputs=predictionLayer)

print(model.summary())

# freeze the layers of the MobileNetV3 (already trained)

for layer in model.layers[:-5]:
    layer.trainable = False

# Compile
    
optimizer = Adam(learning_rate = 0.0001)
model.compile(loss= "categorical_crossentropy", optimizer=optimizer , metrics=['accuracy','precision','recall'])

# train
model.fit(trainGenerator, validation_data=ValidGenerator, epochs=6)

modelSavedPath = "C:/Users/User/Desktop/CDD/SavedModels"
# model.save(modelSavedPath)
tf.saved_model.save(model, modelSavedPath)
```


### Relevant log output

```shell
Traceback (most recent call last):
  File "c:\Users\User\Downloads\thesis\thesis\2BuildModel.py", line 52, in <module>
    tf.saved_model.save(model, modelSavedPath)
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 1392, in save
    save_and_return_nodes(obj, export_dir, signatures, options)
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 1427, in save_and_return_nodes
    _build_meta_graph(obj, signatures, options, meta_graph_def))
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 1642, in _build_meta_graph
    return _build_meta_graph_impl(obj, signatures, options, meta_graph_def)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 1564, in _build_meta_graph_impl
    saveable_view = _SaveableView(augmented_graph_view, options)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 285, in __init__
    checkpoint_util.objects_ids_and_slot_variables_and_paths(
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\util.py", line 160, in 
objects_ids_and_slot_variables_and_paths
    trackable_objects, node_paths = graph_view.breadth_first_traversal()
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\graph_view.py", line 124, in breadth_first_traversal
    return self._breadth_first_traversal()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 156, in _breadth_first_traversal
    super(_AugmentedGraphView, self)._breadth_first_traversal())
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\graph_view.py", line 128, in _breadth_first_traversal
    return super(ObjectGraphView, self)._descendants_with_paths()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\trackable_view.py", line 111, in _descendants_with_paths
    for name, dependency in self.children(current_trackable).items():
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\graph_view.py", line 97, in children
    for name, ref in self.list_children(obj, **kwargs):
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\saved_model\save.py", line 190, in list_children
    for name, child in super(_AugmentedGraphView, self).list_children(
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\graph_view.py", line 75, in list_children
    for name, ref in super(ObjectGraphView,
                     ^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\checkpoint\trackable_view.py", line 85, in children
    ref = converter.convert_to_trackable(ref, parent=obj)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\trackable\converter.py", line 31, 
in convert_to_trackable
    if (tensor_util.is_tf_type(obj) and
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\tensorflow\python\framework\tensor_util.py", line 1156, in is_tf_type
    return isinstance(x, tf_type_classes)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\typing.py", line 1871, in __instancecheck__
    val = getattr_static(instance, attr)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\inspect.py", line 1839, in getattr_static
    instance_result = _check_instance(obj, attr)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\User\AppData\Local\Programs\Python\Python312\Lib\inspect.py", line 1793, in _check_instance
    instance_dict = object.__getattribute__(obj, "__dict__")
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: this __dict__ descriptor does not support '_DictWrapper' objects
```
