class Net(nn.Module):
            def __init__(self):
                super(Net, self).__init__()
                self.conv = nn.Conv2d(1, 1, 3)

            def forward(self, x):
                return self.conv(x)

            def weighted_kernel_sum(self, weight):
                return weight * self.conv.weight

        example_weight = torch.rand(1, 1, 3, 3)
        example_forward_input = torch.rand(1, 1, 3, 3)
        n = Net()
        inputs = {'forward' : example_forward_input, 'weighted_kernel_sum' : example_weight}
        module = torch.jit.trace_module(n, inputs)