
A script for doing quantization aware training — which is available for any of these model though, as you will learn below, we only found it necessary for achieving accuracy with Mobilenet.
We also have a tutorial showing how you can do transfer learning with quantization using one of the torchvision models.

Choosing an approach
The choice of which scheme to use depends on multiple factors:
1. Model/Target requirements: Some models might be sensitive to quantization, requiring quantization aware training.
2. Operator/Backend support: Some backends require fully quantized operators.
Currently, operator coverage is limited and may restrict the choices listed in the table below:
The table below provides a guideline.
