def test_contraction_sanity(self):
net = network.TensorNetwork(backend="tensorflow")
a = net.add_node(np.ones([4, 5, 2]))
b = net.add_node(np.ones([3, 2, 3]))
net.connect(a[2], b[1])
net.connect(b[0], b[2])
net = stochastic_contractor.stochastic(net, 2)
net.check_correct()
res = net.get_final_node()
self.assertAllClose(res.get_tensor(), 6 * np.ones([4, 5]))
def test_contraction_parallel_edges(self):
net = network.TensorNetwork()
a = net.add_node(np.ones([4, 5, 2]))
b = net.add_node(np.ones([3, 2, 3, 5]))
c = net.add_node(np.ones([
4,
]))
net.connect(a[2], b[1])
net.connect(b[0], b[2])
net.connect(a[1], b[3])
net.connect(a[0], c[0])
net = stochastic_contractor.stochastic(net, 2)
net.check_correct()
res = net.get_final_node()
self.assertAllClose(res.get_tensor(), 120)
def test_contraction_disconnected(self):
net = network.TensorNetwork(backend="tensorflow")
a = net.add_node(np.ones([4, 5, 2]))
b = net.add_node(np.ones([3, 2, 3]))
edge1 = a[0]
net.connect(a[2], b[1])
net.connect(b[0], b[2])
c = net.add_node(np.ones([3, 4]))
d = net.add_node(np.ones([4, 3]))
edge2 = c[0]
net.connect(c[1], d[0])
net = stochastic_contractor.stochastic(net, 2)
net.check_correct(check_connected=False)
node1, node2 = edge1.node1, edge2.node1
self.assertAllClose(node1.get_tensor(), 6 * np.ones([4, 5]))
self.assertAllClose(node2.get_tensor(), 4 * np.ones([3, 3]))