+-- +-- Linear(10, 10) --> ReLU --> d --+
+-- / / \
+-- / / \
+-- --> a --> b -----------> c --------------+ e -->
+-- \ /
+-- \ /
+-- +----- Mul(-1) ------+
+
+model = nn.DAG()
+
+a = nn.Linear(50, 10)
+b = nn.ReLU()
+c = nn.Linear(10, 15)
+d = nn.CMulTable()
+e = nn.CAddTable()
+
+model:connect(a, b, c)
+model:connect(b, nn.Linear(10, 15), nn.ReLU(), d)
+model:connect(d, e)
+model:connect(c, d)
+model:connect(c, nn.Mul(-1), e)
+
+model:setInput(a)
+model:setOutput(e)
+
+local input = torch.Tensor(30, 50):uniform()
+local output = model:updateOutput(input):clone()
+
+output:uniform()
+
+print('Error = ' .. checkGrad(model, nn.MSECriterion(), input, output))
+
+print('Writing /tmp/graph.dot')
+model:saveDot('/tmp/graph.dot')