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Original question:
hello, I have some question when I try QAT in edgeai-torchvision.
after I run a pretrained model with phase=training and quantize=True, get a model like below
and the following code is
1. why we need to excute extra QAT? I want to know the effect.
2.why the code set the quantize to False, if this, the model will be original, and the onnx saved Indeed.
