load_model is failing to load a model created by a save.  It reports an IndexError
@RoswellMiller Please make sure you're using the correct loading method based on how the model was saved?
Kindly ensure you have used the same version for model building and saving. 
In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here.
Thank you! 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?
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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 11 Pro

### 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?

A file call au01.keras created by a save of an autoencode model will not load using load_model.  It fails with an IndexError  list index out of range

### Standalone code to reproduce the issue

```shell
I tried to send you the file but the system won't accept filetype .keras
```


### Relevant log output

```shell
vscode ➜ /workspaces/Prj000-GDL2ndEd (master) $  cd /workspaces/Prj000-GDL2ndEd ; /usr/bin/env /usr/local/bin/python /home/vscode/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher 37803 -- /workspaces/Prj000-GDL2ndEd/autoenc_01.py 
2024-03-15 20:01:19.114748: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-03-15 20:01:19.121734: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.
2024-03-15 20:01:19.182123: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-03-15 20:01:23.498352: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
TensorFlow version 2.16.1
Loading autoencode ...
list index out of range
Models not found
```
