Tensorflow 2.11 error: AttributeError: module 'tensorflow._api.v2.compat.v2.__internal__' has no attribute 'register_load_context_function'
Hi, @fede72bari 

Apologize for the delay and I would suggest you to please try to execute below commands and please create new virtual environment with python version 3.8 and check whether is it resolving your issue or not ? If issue still persists please let us know with complete error log to find out the root cause for your issue. Thank you!

Create a conda environment:
```
conda create --name tf python=3.8
conda activate tf
```

```
pip install --upgrade pip
pip uninstall keras
pip install tensorflow
```
 It turned out that reinstalling everything was not enough; probably there was a synch problem with the updating of the kernel used fo rthe jupyter notebook. So in case other will come into the same troble I suggest to reinstall tensorflow and then create a new kernel for jupyter in the same new Anaconda environment. 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/59763">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/59763">No</a>

<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

2.11

### Custom Code

Yes

### OS Platform and Distribution

Windows

### Mobile device

_No response_

### Python version

3.10

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

```shell
I had to update Tensorflow to the currently latest version 2.11. when importing i get "AttributeError: module 'tensorflow._api.v2.compat.v2.internal' has no attribute 'register_load_context_function'". I have also completely reinstalled a full anaconda environment and downgraded Python to the version compatible with the latest of Tensorflow and then "pip3 install Tensorflow==2.11". Got the same error. I have no other ideas.

The full error log is the following


import tensorflow as tf

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_432\3752927832.py in <module>
----> 1 import tensorflow as tf

~\AppData\Roaming\Python\Python310\site-packages\tensorflow\__init__.py in <module>
    467 if hasattr(_current_module, "keras"):
    468   try:
--> 469     _keras._load()
    470   except ImportError:
    471     pass

~\AppData\Roaming\Python\Python310\site-packages\tensorflow\python\util\lazy_loader.py in _load(self)
     39     """Load the module and insert it into the parent's globals."""
     40     # Import the target module and insert it into the parent's namespace
---> 41     module = importlib.import_module(self.__name__)
     42     self._parent_module_globals[self._local_name] = module
     43 

~\anaconda3\envs\mltrade2\lib\importlib\__init__.py in import_module(name, package)
    124                 break
    125             level += 1
--> 126     return _bootstrap._gcd_import(name[level:], package, level)
    127 
    128 

~\anaconda3\envs\mltrade2\lib\site-packages\keras\__init__.py in <module>
     19 """
     20 from keras import distribute
---> 21 from keras import models
     22 from keras.engine.input_layer import Input
     23 from keras.engine.sequential import Sequential

~\anaconda3\envs\mltrade2\lib\site-packages\keras\models\__init__.py in <module>
     16 
     17 
---> 18 from keras.engine.functional import Functional
     19 from keras.engine.sequential import Sequential
     20 from keras.engine.training import Model

~\anaconda3\envs\mltrade2\lib\site-packages\keras\engine\functional.py in <module>
     32 from keras.engine import input_spec
     33 from keras.engine import node as node_module
---> 34 from keras.engine import training as training_lib
     35 from keras.engine import training_utils
     36 from keras.saving.legacy import serialization

~\anaconda3\envs\mltrade2\lib\site-packages\keras\engine\training.py in <module>
     43 from keras.saving.experimental import saving_lib
     44 from keras.saving.legacy import hdf5_format
---> 45 from keras.saving.legacy import save
     46 from keras.saving.legacy import saving_utils
     47 from keras.saving.legacy import serialization

~\anaconda3\envs\mltrade2\lib\site-packages\keras\saving\legacy\save.py in <module>
     22 from keras.saving.legacy import serialization
     23 from keras.saving.legacy.saved_model import load as saved_model_load
---> 24 from keras.saving.legacy.saved_model import load_context
     25 from keras.saving.legacy.saved_model import save as saved_model_save
     26 from keras.utils import traceback_utils

~\anaconda3\envs\mltrade2\lib\site-packages\keras\saving\legacy\saved_model\load_context.py in <module>
     66 
     67 
---> 68 tf.__internal__.register_load_context_function(in_load_context)

AttributeError: module 'tensorflow._api.v2.compat.v2.__internal__' has no attribute 'register_load_context_function'
```


### Standalone code to reproduce the issue

```shell
import tensorflow as tf
```


### Relevant log output

_No response_</details>