Bug in QAT for classification?

When i use a pretrained QAT model, my task is face detection, the face landmark and the bbox is almost same like float training, but the classification score from the result of softmax will be wrong, because it will be greater than 1.It think it is a bug in scale and point from softmax?

Anybody help me? :grinning:

My code fault, sorry.