tensorboardX: usage with model whose outputs is list of tensors?

Given the model below that returns a list of tensors (logits).

class MyNet(nn.Module):
    def __init__(self, n_classes):
        super(MyNet, self).__init__()

    def forward(self, x):
       return [side_5, side_6, side_7, side_8]

How can I properly use the tensorboardX function writer.add_graph(model, input) ?
I tried something like:

dummy_input = Variable(torch.zeros([1, 3, im_rows, im_cols]).to(self.device), requires_grad=True)
writer.add_graph(model, dummy_input)

but it seems that the add_graph expects the model to return a tensor and not a list of tensors. Any ideas?