Hi, I tried QAT with this example https://github.com/pytorch/vision/blob/master/references/classification/train_quantization.py 10.
I would like to know whether the fp32 model can be saved during the quatization, which has no extra parameters learned by QAT?
This FP32 model without fusion, just like the normal pretrained float32 model.