The Whisper Hybrid encoder model with dynamic quantization functions properly, but it fails when using a full int8 model with post-training quantization.
@sachinprasadhs @mohantym @arfaian Please have a look into this issue.
Thanks in advance 
 model = "https://tfhub.dev/google/nnlm-en-dim50/2"
hub_layer = hub.KerasLayer(model, input_shape=[], dtype=tf.string, trainable=True)
hub_layer(train_examples[:3]) @nyadla-sys Thanks for reporting this issue.

Sorry for the delayed response.

I was able reproduce this issue on TF 2.11. Please find the gist [here](https://colab.research.google.com/gist/pjpratik/461189d8e5729c63a180c46278249798/59716.ipynb).

@sachinprasadhs Could you please look into this issue? Thanks.
### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Refer the below colab to reproduce the issue ..
https://colab.research.google.com/drive/1S_3bVlwRZkMaYvvKwtPfWlyXQLS0Bvxa?usp=sharing





```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
