When you are fusing a conv with a batch norm, there is no separate bias term in the conv. This is because, batch norm already has a trainable bias parameter which serves the same purpose. The reference resnet implementation at: https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py#L24 25 does not have bias as part of the conv.