def METHOD_NAME(self):
    """
    This method is used to construct the whole restructure computation graph for call_func node with bias
    addition inside.
    A whole restructure computation graph will contain a weight node, a bias node, a non-bias addition computation node,
    a bias reshape node if needed and a bias addition node.
    Use torch.addmm as an example:
    The origin node is:
        %addmm: call_func[target=torch.addmm](args = (%input_1, m1, m2), kwargs = {beta=1, alpha=1})
    Restructured graph is:
        %transpose : [#users=1] = call_function[target=torch.transpose](args = (%m2, 0, 1), kwargs = {})
        %linear : [#users=1] = call_function[target=torch._C._nn.linear](args = (%m1, %transpose), kwargs = {})
        %mul : [#users=1] = call_function[target=operator.mul](args = (%input_1, 3), kwargs = {})
        %mul_1 : [#users=1] = call_function[target=operator.mul](args = (2, %linear), kwargs = {})
        %add : [#users=1] = call_function[target=operator.add](args = (%mul_1, %mul), kwargs = {})
    """
    pass