How to operate in Conv2d without removing it from computation graph

I want to perform an l2_norm operation on conv2d filter in each forward pass before applying the filter. I tried to calculate the l2_norm first and then used torch.nn.Parameters to update the new parameter of conv2d but it create a new computation graph for every forward pass. How can do in the same computational graph. Thanks in advanced.