I’m trying to inspect the parameters of a quantized model to see how they differ from a regular, non-quantized model. However, the `.parameters()`

call on a quantized model returns an empty list:

```
qmodel = torch.quantization.quantize_dynamic(MyCell(), {torch.nn.Linear}, dtype=torch.qint8)
list(qmodel.parameters())
```

returns:

```
[]
```

Is this expected? Is this because they don’t expect the weights to be trained anymore?

How can I see what the weight / bias values are?