Describe the bug
I'm doing transfer learning and would like to (at the end) quantize my model. The problem is that when I try to use the quantize_model() function (which is used successfully in numerous tutorials and videos), I get an error. How am I supposed to do quantization for transfer learning (using an already previously built model as a feature extractor)?

System information

TensorFlow installed from (source or binary): pip

TensorFlow version: tf-nightly 2.2.0

TensorFlow Model Optimization version: 0.3.0

Python version: 3.7.7

Describe the expected behavior
I expect the model to be successfully quantized and for no error messages to appear.

Describe the current behavior
I get the error: "ValueError: Quantizing a tf.keras Model inside another tf.keras Model is not supported."

Code to reproduce the issue
Can be found here