TypeError: this __dict__ descriptor does not support '_DictWrapper' objects
@sachinprasadhs,
I was able to reproduce the issue on tf-[nightly](https://colab.research.google.com/gist/tilakrayal/929175f4ba6ee4b734402c76d6e94173/dict_output_bug.ipynb) -2.16.0-dev20231026. Kindly find the gist of it here. Is there an easy patch to fix this for TF2.15? E.g. can I just downrev typing_extensions in pip_package/setup.py?
 To answer my own question: Yes. Just applying the change from https://github.com/tensorflow/tensorflow/pull/60688 fixes this for us. @plopresti,
I tried to execute the code available on the colab with the latest tf-nightly(2.16.0-dev20240125) along with the keras3.0 version and it was executed without any issue/error. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/ef09970d8f6c3ef48f0fc5d0a74535c5/dict_output_bug.ipynb). Thank you! @tilakrayal Yes, our reproducer also passes on tf-nightly.

I wonder what change fixed it. Anyway this does not appear to be an issue with latest builds. @plopresti,
Yeah the changes have happened with the respective PR https://github.com/keras-team/keras/pull/18682.
```

 if backend() == "tensorflow":
            # This stop tensorflow from wrapping tf.function output in a
            # _DictWrapper object.
            _self_setattr_tracking = getattr(
                self, "_self_setattr_tracking", True
            )
            self._self_setattr_tracking = False
```

Thank you! At this point, given that keras fixed it, this issue can be closed, I think This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62217">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62217">No</a>
 @tilakrayal 

This issue is happening for us again with the r2.17 branch.

`export WRAPT_DISABLE_EXTENSIONS=true` (per https://github.com/tensorflow/tensorflow/issues/60687#issuecomment-1647756840) appears to work around it. But I am unsure what the knock-on effects of that might be.

Rebuilding TensorFlow after patching `tensorflow/tools/pip_package/setup.py` to force `typing_extensions<4.6.0` also works around it.

I have confirmed our Keras version (3.3.3) has the change you cite above.

I am at a loss for how to proceed and would welcome any suggestion. Thank you!
### Issue type

Bug

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

Yes

### Source

binary

### TensorFlow version

nightly

### Custom code

Yes

### OS platform and distribution

Colab

### Python version

3.10

### Current behavior?

- Install a clean tensorflow environment with the latest `typing-extensions` pip package.
- Assign a dictionary to a `tf.Module` (will wrap it in a `_DictWrapper` for tracking).
- Output that dictionary from a `tf.function`.
- `TypeError: this __dict__ descriptor does not support '_DictWrapper' objects`.

This is somewhat of a zombie bug, see https://github.com/tensorflow/tensorflow/issues/60687.

This is important because it breaks all `keras` functional models with dictionary output, but is not a `keras` bug. This can be reproduced simply with low-level tensorflow.

We either need to continue pinning an older version of typing extensions, or fix tensorflow to work with the latest version of typing extension. The latter seems less likely to keep breaking.

### Standalone code to reproduce the issue

https://colab.research.google.com/gist/mattdangerw/6904dc4ab29ff936ad3c3b966848f463/dict-output-bug.ipynb


### Relevant log output

```shell
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-4a26ae41286e> in <cell line: 12>()
     10 x = tf.constant([2, 3])
     11 y = tf.constant([3, -2])
---> 12 f(x, y)

4 frames
/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/traceback_utils.py in error_handler(*args, **kwargs)
    151     except Exception as e:
    152       filtered_tb = _process_traceback_frames(e.__traceback__)
--> 153       raise e.with_traceback(filtered_tb) from None
    154     finally:
    155       del filtered_tb

/usr/local/lib/python3.10/dist-packages/tensorflow/core/function/trace_type/trace_type_builder.py in from_value(value, context)
    142   if context.is_legacy_signature and isinstance(value, trace.TraceType):
    143     return value
--> 144   elif isinstance(value, trace.SupportsTracingProtocol):
    145     generated_type = value.__tf_tracing_type__(context)
    146     if not isinstance(generated_type, trace.TraceType):

/usr/local/lib/python3.10/dist-packages/typing_extensions.py in __instancecheck__(cls, instance)
    601             for attr in cls.__protocol_attrs__:
    602                 try:
--> 603                     val = inspect.getattr_static(instance, attr)
    604                 except AttributeError:
    605                     break

/usr/lib/python3.10/inspect.py in getattr_static(obj, attr, default)
   1741         if (dict_attr is _sentinel or
   1742             type(dict_attr) is types.MemberDescriptorType):
-> 1743             instance_result = _check_instance(obj, attr)
   1744     else:
   1745         klass = obj

/usr/lib/python3.10/inspect.py in _check_instance(obj, attr)
   1688     instance_dict = {}
   1689     try:
-> 1690         instance_dict = object.__getattribute__(obj, "__dict__")
   1691     except AttributeError:
   1692         pass

TypeError: this __dict__ descriptor does not support '_DictWrapper' objects
```
