Repository: tensorflow
Issue: TypeError: this __dict__ descriptor does not support '_DictWrapper' objects
Labels: stat:awaiting tensorflower,type:bug,type:support,comp:apis

### 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
```