PhoneJam:

I’m doing with post training, is it only conv ReLU can be quantized?


the fusion result looks correct.
Yes, fusion means we are going to fuse parameters of batchnorm into conv since batchnorm is just a linear transformation of the input at inference time. see https://github.com/pytorch/pytorch/blob/master/torch/nn/utils/fusion.py#L7 6 for code to fuse conv and bn.