@raghuramank100 Thanks for your kindly reply. Your answer is right. I am reproducing the accuracy as your suggested and result looks good.


Bug 30125 3 and comments provide some useful info. Believe it or not, QAT of static_quantization_tutorial.rst 1 is NOT a good guide because it cant reproduce 71.5%.


I find some differences between static_quantization_tutorial.rst 1 and train_quantization.py 1 which seems to cause different accuracy. Actually, hyperparameter and training tricks make sense, right?


BTW, when and why to insert hyperparameter/freeze-operation/disable-operation is not easy during training. Any QAT trick or routine for other networks instead of mobilenet-v2, such as more classification or detection or segmentation?  That is much helpful.


Thanks.