I think that
bn_conv10 -> bn1.running_mean	torch.Size([64])
bn_conv11 -> bn1.running_var	torch.Size([64])
scale_conv1[0]	(64,) -> bn1.weight torch.Size([64])
scale_conv1[1]	(64,) -> bn1.bias torch.Size([64])
I also got confused by the extra parameter bn_conv12. In my caffe model, I do not have this parameter.